90 results on '"Unneberg, P."'
Search Results
2. Identification of microbial pathogens in Neolithic Scandinavian humans
- Author
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Bergfeldt, Nora, Kırdök, Emrah, Oskolkov, Nikolay, Mirabello, Claudio, Unneberg, Per, Malmström, Helena, Fraser, Magdalena, Sanchez-Quinto, Federico, Jorgensen, Roger, Skar, Birgitte, Lidén, Kerstin, Jakobsson, Mattias, Storå, Jan, and Götherström, Anders
- Published
- 2024
- Full Text
- View/download PDF
3. Expanding the stdpopsim species catalog, and lessons learned for realistic genome simulations
- Author
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Lauterbur, M Elise, Cavassim, Maria Izabel A, Gladstein, Ariella L, Gower, Graham, Pope, Nathaniel S, Tsambos, Georgia, Adrion, Jeffrey, Belsare, Saurabh, Biddanda, Arjun, Caudill, Victoria, Cury, Jean, Echevarria, Ignacio, Haller, Benjamin C, Hasan, Ahmed R, Huang, Xin, Iasi, Leonardo Nicola Martin, Noskova, Ekaterina, Obsteter, Jana, Pavinato, Vitor Antonio Correa, Pearson, Alice, Peede, David, Perez, Manolo F, Rodrigues, Murillo F, Smith, Chris CR, Spence, Jeffrey P, Teterina, Anastasia, Tittes, Silas, Unneberg, Per, Vazquez, Juan Manuel, Waples, Ryan K, Wohns, Anthony Wilder, Wong, Yan, Baumdicker, Franz, Cartwright, Reed A, Gorjanc, Gregor, Gutenkunst, Ryan N, Kelleher, Jerome, Kern, Andrew D, Ragsdale, Aaron P, Ralph, Peter L, Schrider, Daniel R, and Gronau, Ilan
- Subjects
Genetics ,Biotechnology ,Human Genome ,Generic health relevance ,Software ,Computer Simulation ,Genome ,Genetics ,Population ,Genomics ,population genetics ,simulations ,open source ,None ,genetics ,genomics ,none ,Biochemistry and Cell Biology - Abstract
Simulation is a key tool in population genetics for both methods development and empirical research, but producing simulations that recapitulate the main features of genomic datasets remains a major obstacle. Today, more realistic simulations are possible thanks to large increases in the quantity and quality of available genetic data, and the sophistication of inference and simulation software. However, implementing these simulations still requires substantial time and specialized knowledge. These challenges are especially pronounced for simulating genomes for species that are not well-studied, since it is not always clear what information is required to produce simulations with a level of realism sufficient to confidently answer a given question. The community-developed framework stdpopsim seeks to lower this barrier by facilitating the simulation of complex population genetic models using up-to-date information. The initial version of stdpopsim focused on establishing this framework using six well-characterized model species (Adrion et al., 2020). Here, we report on major improvements made in the new release of stdpopsim (version 0.2), which includes a significant expansion of the species catalog and substantial additions to simulation capabilities. Features added to improve the realism of the simulated genomes include non-crossover recombination and provision of species-specific genomic annotations. Through community-driven efforts, we expanded the number of species in the catalog more than threefold and broadened coverage across the tree of life. During the process of expanding the catalog, we have identified common sticking points and developed the best practices for setting up genome-scale simulations. We describe the input data required for generating a realistic simulation, suggest good practices for obtaining the relevant information from the literature, and discuss common pitfalls and major considerations. These improvements to stdpopsim aim to further promote the use of realistic whole-genome population genetic simulations, especially in non-model organisms, making them available, transparent, and accessible to everyone.
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- 2023
4. aMeta: an accurate and memory-efficient ancient metagenomic profiling workflow
- Author
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Pochon, Zoé, Bergfeldt, Nora, Kırdök, Emrah, Vicente, Mário, Naidoo, Thijessen, van der Valk, Tom, Altınışık, N. Ezgi, Krzewińska, Maja, Dalén, Love, Götherström, Anders, Mirabello, Claudio, Unneberg, Per, and Oskolkov, Nikolay
- Published
- 2023
- Full Text
- View/download PDF
5. Dominant Mutations in GRHL3 Cause Van der Woude Syndrome and Disrupt Oral Periderm Development
- Author
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Peyrard-Janvid, Myriam, Leslie, Elizabeth J, Kousa, Youssef A, Smith, Tiffany L, Dunnwald, Martine, Magnusson, Måns, Lentz, Brian A, Unneberg, Per, Fransson, Ingegerd, Koillinen, Hannele K, Rautio, Jorma, Pegelow, Marie, Karsten, Agneta, Basel-Vanagaite, Lina, Gordon, William, Andersen, Bogi, Svensson, Thomas, Murray, Jeffrey C, Cornell, Robert A, Kere, Juha, and Schutte, Brian C
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Biomedical and Clinical Sciences ,Dentistry ,Dental/Oral and Craniofacial Disease ,Genetics ,Pediatric ,Rare Diseases ,Clinical Research ,Biotechnology ,Aetiology ,2.1 Biological and endogenous factors ,Congenital ,Abnormalities ,Multiple ,Alleles ,Animals ,Cleft Lip ,Cleft Palate ,Cysts ,DNA-Binding Proteins ,Gene Expression Regulation ,Developmental ,Genotype ,Humans ,Hybridization ,Genetic ,Interferon Regulatory Factors ,Lip ,Mice ,Mice ,Knockout ,Mutation ,Missense ,Pedigree ,Phenotype ,Sequence Analysis ,DNA ,Transcription Factors ,Zebrafish ,Biological Sciences ,Medical and Health Sciences ,Genetics & Heredity ,Biological sciences ,Biomedical and clinical sciences ,Health sciences - Abstract
Mutations in interferon regulatory factor 6 (IRF6) account for ∼70% of cases of Van der Woude syndrome (VWS), the most common syndromic form of cleft lip and palate. In 8 of 45 VWS-affected families lacking a mutation in IRF6, we found coding mutations in grainyhead-like 3 (GRHL3). According to a zebrafish-based assay, the disease-associated GRHL3 mutations abrogated periderm development and were consistent with a dominant-negative effect, in contrast to haploinsufficiency seen in most VWS cases caused by IRF6 mutations. In mouse, all embryos lacking Grhl3 exhibited abnormal oral periderm and 17% developed a cleft palate. Analysis of the oral phenotype of double heterozygote (Irf6(+/-);Grhl3(+/-)) murine embryos failed to detect epistasis between the two genes, suggesting that they function in separate but convergent pathways during palatogenesis. Taken together, our data demonstrated that mutations in two genes, IRF6 and GRHL3, can lead to nearly identical phenotypes of orofacial cleft. They supported the hypotheses that both genes are essential for the presence of a functional oral periderm and that failure of this process contributes to VWS.
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- 2014
6. Models for predicting impact sensitivity of energetic materials based on the trigger linkage hypothesis and Arrhenius kinetics
- Author
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Jensen, Tomas L., Moxnes, John F., Unneberg, Erik, and Christensen, Dennis
- Published
- 2020
- Full Text
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7. The genome of black cottonwood, Populus trichocarpa (Torr. & Gray)
- Author
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Tuskan, G.A., DiFazio, S., Jansson, S., Bohlmann, J., Grigoriev, I., Hellsten, U., Putnam, N., Ralph, S., Rombauts, S., Salamov, A., Schein, J., Sterck, L., Aerts, A., Bhalerao, R.R., Bhalerao, R.P., Blaudez, D., Boerjan, W., Brun, A., Brunner, A., Busov, V., Campbell, M., Carlson, J., Chalot, M., Chapman, J., Chen, G.-L., Cooper, D., Coutinho, P.M., Couturier, J., Covert, S., Cronk, Q., Cunningham, R., Davis, J., Degroeve, S., Dejardin, A., dePamphillis, C., Detter, J., Dirks, B., Dubchak, I., Duplessis, S., Ehiting, J., Ellis, B., Gendler, K., Goodstein, D., Gribskov, M., Grimwood, J., Groover, A., Gunter, L., Hamberger, B., Heinze, B., Helariutta, Y., Henrissat, B., Holligan, D., Holt, R., Huang, W., Islam-Faridi, N., Jones, S., Jones-Rhoades, M., Jorgensen, R., Joshi, C., Kangasjarvi, J., Karlsson, J., Kelleher, C., Kirkpatrick, R., Kirst, M., Kohler, A., Kalluri, U., Larimer, F., Leebens-Mack, J., Leple, J.-C., Locascio, P., Lou, Y., Lucas, S., Martin, F., Montanini, B., Napoli, C., Nelson, D.R., Nelson, D., Nieminen, K., Nilsson, O., Peter, G., Philippe, R., Pilate, G., Poliakov, A., Razumovskaya, J., Richardson, P., Rinaldi, C., Ritland, K., Rouze, P., Ryaboy, D., Schmutz, J., Schrader, J., Segerman, B., Shin, H., Siddiqui, A., Sterky, F., Terry, A., Tsai, C., Uberbacher, E., Unneberg, P., and Vahala, J.
- Subjects
Basic biological sciences - Published
- 2006
8. Author Correction: ATAC-seq reveals alterations in open chromatin in pancreatic islets from subjects with type 2 diabetes
- Author
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Bysani, Madhusudhan, Agren, Rasmus, Davegårdh, Cajsa, Volkov, Petr, Rönn, Tina, Unneberg, Per, Bacos, Karl, and Ling, Charlotte
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- 2020
- Full Text
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9. ATAC-seq reveals alterations in open chromatin in pancreatic islets from subjects with type 2 diabetes
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Bysani, Madhusudhan, Agren, Rasmus, Davegårdh, Cajsa, Volkov, Petr, Rönn, Tina, Unneberg, Per, Bacos, Karl, and Ling, Charlotte
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- 2019
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10. The genomic landscape underlying phenotypic integrity in the face of gene flow in crows
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Poelstra, J. W., Vijay, N., Bossu, C. M., Lantz, H., Ryll, B., Müller, I., Baglione, V., Unneberg, P., Wikelski, M., Grabherr, M. G., and Wolf, J. B. W.
- Published
- 2014
11. The Genome of Black Cottonwood, Populus trichocarpa (Torr. & Gray)
- Author
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Tuskan, G. A., DiFazio, S., Jansson, S., Bohlmann, J., Grigoriev, I., Hellsten, U., Putnam, N., Ralph, S., Rombauts, S., Salamov, A., Schein, J., Sterck, L., Aerts, A., Bhalerao, R. R., Bhalerao, R. P., Blaudez, D., Boerjan, W., Brun, A., Brunner, A., Busov, V., Campbell, M., Carlson, J., Chalot, M., Chapman, J., Chen, G.-L., Cooper, D., Coutinho, P. M., Couturier, J., Covert, S., Cronk, Q., Cunningham, R., Davis, J., Degroeve, S., Déjardin, A., dePamphilis, C., Detter, J., Dirks, B., Dubchak, I., Duplessis, S., Ehlting, J., Ellis, B., Gendler, K., Goodstein, D., Gribskov, M., Grimwood, J., Groover, A., Gunter, L., Hamberger, B., Heinze, B., Helariutta, Y., Henrissat, B., Holligan, D., Holt, R., Huang, W., Islam-Faridi, N., Jones, S., Jones-Rhoades, M., Jorgensen, R., Joshi, C., Kangasjärvi, J., Karlsson, J., Kelleher, C., Kirkpatrick, R., Kirst, M., Kohler, A., Kalluri, U., Larimer, F., Leebens-Mack, J., Leplé, J.-C., Locascio, P., Lou, Y., Lucas, S., Martin, F., Montanini, B., Napoli, C., Nelson, D. R., Nelson, C., Nieminen, K., Nilsson, O., Pereda, V., Peter, G., Philippe, R., Pilate, G., Poliakov, A., Razumovskaya, J., Richardson, P., Rinaldi, C., Ritland, K., Rouzé, P., Ryaboy, D., Schmutz, J., Schrader, J., Segerman, B., Shin, H., Siddiqui, A., Sterky, F., Terry, A., Tsai, C.-J., Uberbacher, E., Unneberg, P., Vahala, J., Wall, K., Wessler, S., Yang, G., Yin, T., Douglas, C., Marra, M., Sandberg, G., Van de Peer, Y., and Rokhsar, D.
- Published
- 2006
12. ECOLOGICAL GENOMICS: The genomic landscape underlying phenotypic integrity in the face of gene flow in crows
- Author
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Poelstra, J. W., Vijay, N., Bossu, C. M., Lantz, H., Ryll, B., Müller, I., Baglione, V., Unneberg, P., Wikelski, M., Grabherr, M. G., and Wolf, J. B. W.
- Published
- 2014
- Full Text
- View/download PDF
13. Analysis of 70,000 EST sequences to study divergence between two closely related Populus species
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Unneberg, Per, Strömberg, Michael, Lundeberg, Joakim, Jansson, Stefan, and Sterky, Fredrik
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- 2005
- Full Text
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14. Bioconda: Sustainable and comprehensive software distribution for the life sciences
- Author
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Dale, R, Gruning, B, Sjodin, A, Rowe, J, Chapman, B, Tomkins-Tinch, C, Valieris, R, Batut, B, Caprez, A, Cokelaer, T, Yusuf, D, Beauchamp, K, Brinda, K, Wollmann, T, Corguille, G, Ryan, D, Bretaudeau, A, Hoogstrate, Y, Pedersen, B, Heeringen, S, Raden, M, Luna-Valero, S, Soranzo, N, Smet, M, Kuster, G, Kirchner, R, Pantano, L, Charlop-Powers, Z, Thornton, K, Martin, M, Beek, M, Maticzka, D, Miladi, M, Will, S, Gravouil, K, Unneberg, P, Brueffer, C, Blank, C, Piro, V, Wolff, J, Antao, T, Gladman, S, Shlyakhter, I, Hollander, M, Mabon, P, Shen, W, Boekel, J, Holtgrewe, M, Bouvier, D, de Ruiter, J, Cabral, J, Choudhary, S, Harding, N, Kleinkauf, R, Enns, E, Eggenhofer, F, Brown, J, Cock, P, Timm, H, Thomas, C, Zhang, X, Chambers, M, Turaga, N, Seiler, E, Brislawn, C, Pruesse, E, Fallmann, J, Kelleher, J, Nguyen, H, Parsons, L, Fang, Z, Stovner, E, Stoler, N, Ye, S, Wohlers, I, Farouni, R, Freeberg, M, Johnson, J, Bargull, M, Kensche, P, Webster, T, Eppley, J, Stahl, C, Rose, A, Reynolds, A, Wang, L, Garnier, X, Dirmeier, S, Knudsen, M, Taylor, J, Srivastava, A, Rai, V, Agren, R, Junge, A, Guimera, R, Khan, A, Schmeier, S, He, G, Pinello, L, Hagglund, E, Mikheyev, A, Preussner, J, Waters, N, Li, W, Capellades, J, Chande, A, Pirola, Y, Hiltemann, S, Bendall, M, Singh, S, Dunn, W, Drouin, A, Domenico, T, Bruijn, I, Larson, D, Chicco, D, Grassi, E, Gonnella, G, B, J, Giacomoni, F, Clarke, E, Blankenberg, D, Tran, C, Patro, R, Laurent, S, Gopez, M, Sennblad, B, Baaijens, J, Ewels, P, Wright, P, Enache, O, Roger, P, Dampier, W, Koppstein, D, Devisetty, U, Rausch, T, Cornwell, M, Salatino, A, Seiler, J, Jung, M, Kornobis, E, Cumbo, F, Stocker, B, Moskalenko, O, Bogema, D, Workentine, M, Newhouse, S, Leprevost, F, Arvai, K, Koster, J, Dale R., Gruning B., Sjodin A., Rowe J., Chapman B. A., Tomkins-Tinch C. H., Valieris R., Batut B., Caprez A., Cokelaer T., Yusuf D., Beauchamp K. A., Brinda K., Wollmann T., Corguille G. L., Ryan D., Bretaudeau A., Hoogstrate Y., Pedersen B. S., Heeringen S., Raden M., Luna-Valero S., Soranzo N., Smet M. D., Kuster G. V., Kirchner R., Pantano L., Charlop-Powers Z., Thornton K., Martin M., Beek M. D., Maticzka D., Miladi M., Will S., Gravouil K., Unneberg P., Brueffer C., Blank C., Piro V. C., Wolff J., Antao T., Gladman S., Shlyakhter I., Hollander M., Mabon P., Shen W., Boekel J., Holtgrewe M., Bouvier D., de Ruiter J. R., Cabral J., Choudhary S., Harding N., Kleinkauf R., Enns E., Eggenhofer F., Brown J., Cock P. J. A., Timm H., Thomas C., Zhang X. -O., Chambers M., Turaga N., Seiler E., Brislawn C., Pruesse E., Fallmann J., Kelleher J., Nguyen H., Parsons L., Fang Z., Stovner E. B., Stoler N., Ye S., Wohlers I., Farouni R., Freeberg M., Johnson J. E., Bargull M., Kensche P. R., Webster T. H., Eppley J. M., Stahl C., Rose A. S., Reynolds A., Wang L. -B., Garnier X., Dirmeier S., Knudsen M., Taylor J., Srivastava A., Rai V., Agren R., Junge A., Guimera R. V., Khan A., Schmeier S., He G., Pinello L., Hagglund E., Mikheyev A. S., Preussner J., Waters N. R., Li W., Capellades J., Chande A. T., Pirola Y., Hiltemann S., Bendall M. L., Singh S., Dunn W. A., Drouin A., Domenico T. D., Bruijn I., Larson D. E., Chicco D., Grassi E., Gonnella G., B J., Wang L., Giacomoni F., Clarke E., Blankenberg D., Tran C., Patro R., Laurent S., Gopez M., Sennblad B., Baaijens J. A., Ewels P., Wright P. R., Enache O. M., Roger P., Dampier W., Koppstein D., Devisetty U. K., Rausch T., Cornwell M., Salatino A. E., Seiler J., Jung M., Kornobis E., Cumbo F., Stocker B. K., Moskalenko O., Bogema D. R., Workentine M. L., Newhouse S. J., Leprevost F. D. V., Arvai K., Koster J., Dale, R, Gruning, B, Sjodin, A, Rowe, J, Chapman, B, Tomkins-Tinch, C, Valieris, R, Batut, B, Caprez, A, Cokelaer, T, Yusuf, D, Beauchamp, K, Brinda, K, Wollmann, T, Corguille, G, Ryan, D, Bretaudeau, A, Hoogstrate, Y, Pedersen, B, Heeringen, S, Raden, M, Luna-Valero, S, Soranzo, N, Smet, M, Kuster, G, Kirchner, R, Pantano, L, Charlop-Powers, Z, Thornton, K, Martin, M, Beek, M, Maticzka, D, Miladi, M, Will, S, Gravouil, K, Unneberg, P, Brueffer, C, Blank, C, Piro, V, Wolff, J, Antao, T, Gladman, S, Shlyakhter, I, Hollander, M, Mabon, P, Shen, W, Boekel, J, Holtgrewe, M, Bouvier, D, de Ruiter, J, Cabral, J, Choudhary, S, Harding, N, Kleinkauf, R, Enns, E, Eggenhofer, F, Brown, J, Cock, P, Timm, H, Thomas, C, Zhang, X, Chambers, M, Turaga, N, Seiler, E, Brislawn, C, Pruesse, E, Fallmann, J, Kelleher, J, Nguyen, H, Parsons, L, Fang, Z, Stovner, E, Stoler, N, Ye, S, Wohlers, I, Farouni, R, Freeberg, M, Johnson, J, Bargull, M, Kensche, P, Webster, T, Eppley, J, Stahl, C, Rose, A, Reynolds, A, Wang, L, Garnier, X, Dirmeier, S, Knudsen, M, Taylor, J, Srivastava, A, Rai, V, Agren, R, Junge, A, Guimera, R, Khan, A, Schmeier, S, He, G, Pinello, L, Hagglund, E, Mikheyev, A, Preussner, J, Waters, N, Li, W, Capellades, J, Chande, A, Pirola, Y, Hiltemann, S, Bendall, M, Singh, S, Dunn, W, Drouin, A, Domenico, T, Bruijn, I, Larson, D, Chicco, D, Grassi, E, Gonnella, G, B, J, Giacomoni, F, Clarke, E, Blankenberg, D, Tran, C, Patro, R, Laurent, S, Gopez, M, Sennblad, B, Baaijens, J, Ewels, P, Wright, P, Enache, O, Roger, P, Dampier, W, Koppstein, D, Devisetty, U, Rausch, T, Cornwell, M, Salatino, A, Seiler, J, Jung, M, Kornobis, E, Cumbo, F, Stocker, B, Moskalenko, O, Bogema, D, Workentine, M, Newhouse, S, Leprevost, F, Arvai, K, Koster, J, Dale R., Gruning B., Sjodin A., Rowe J., Chapman B. A., Tomkins-Tinch C. H., Valieris R., Batut B., Caprez A., Cokelaer T., Yusuf D., Beauchamp K. A., Brinda K., Wollmann T., Corguille G. L., Ryan D., Bretaudeau A., Hoogstrate Y., Pedersen B. S., Heeringen S., Raden M., Luna-Valero S., Soranzo N., Smet M. D., Kuster G. V., Kirchner R., Pantano L., Charlop-Powers Z., Thornton K., Martin M., Beek M. D., Maticzka D., Miladi M., Will S., Gravouil K., Unneberg P., Brueffer C., Blank C., Piro V. C., Wolff J., Antao T., Gladman S., Shlyakhter I., Hollander M., Mabon P., Shen W., Boekel J., Holtgrewe M., Bouvier D., de Ruiter J. R., Cabral J., Choudhary S., Harding N., Kleinkauf R., Enns E., Eggenhofer F., Brown J., Cock P. J. A., Timm H., Thomas C., Zhang X. -O., Chambers M., Turaga N., Seiler E., Brislawn C., Pruesse E., Fallmann J., Kelleher J., Nguyen H., Parsons L., Fang Z., Stovner E. B., Stoler N., Ye S., Wohlers I., Farouni R., Freeberg M., Johnson J. E., Bargull M., Kensche P. R., Webster T. H., Eppley J. M., Stahl C., Rose A. S., Reynolds A., Wang L. -B., Garnier X., Dirmeier S., Knudsen M., Taylor J., Srivastava A., Rai V., Agren R., Junge A., Guimera R. V., Khan A., Schmeier S., He G., Pinello L., Hagglund E., Mikheyev A. S., Preussner J., Waters N. R., Li W., Capellades J., Chande A. T., Pirola Y., Hiltemann S., Bendall M. L., Singh S., Dunn W. A., Drouin A., Domenico T. D., Bruijn I., Larson D. E., Chicco D., Grassi E., Gonnella G., B J., Wang L., Giacomoni F., Clarke E., Blankenberg D., Tran C., Patro R., Laurent S., Gopez M., Sennblad B., Baaijens J. A., Ewels P., Wright P. R., Enache O. M., Roger P., Dampier W., Koppstein D., Devisetty U. K., Rausch T., Cornwell M., Salatino A. E., Seiler J., Jung M., Kornobis E., Cumbo F., Stocker B. K., Moskalenko O., Bogema D. R., Workentine M. L., Newhouse S. J., Leprevost F. D. V., Arvai K., and Koster J.
- Abstract
Bioinformatics software comes in a variety of programming languages and requires diverse installation methods. This heterogeneity makes management of a software stack complicated, error-prone, and inordinately time-consuming. Whereas software deployment has traditionally been handled by administrators, ensuring the reproducibility of data analyses1–3 requires that the researcher be able to maintain full control of the software environment, rapidly modify it without administrative privileges, and reproduce the same software stack on different machines.
- Published
- 2018
15. Bioconda: sustainable and comprehensive software distribution for the life sciences
- Author
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Dale R., Gruning B., Sjodin A., Rowe J., Chapman B. A., Tomkins-Tinch C. H., Valieris R., Batut B., Caprez A., Cokelaer T., Yusuf D., Beauchamp K. A., Brinda K., Wollmann T., Corguille G. L., Ryan D., Bretaudeau A., Hoogstrate Y., Pedersen B. S., Heeringen S., Raden M., Luna-Valero S., Soranzo N., Smet M. D., Kuster G. V., Kirchner R., Pantano L., Charlop-Powers Z., Thornton K., Martin M., Beek M. D., Maticzka D., Miladi M., Will S., Gravouil K., Unneberg P., Brueffer C., Blank C., Piro V. C., Wolff J., Antao T., Gladman S., Shlyakhter I., Hollander M., Mabon P., Shen W., Boekel J., Holtgrewe M., Bouvier D., de Ruiter J. R., Cabral J., Choudhary S., Harding N., Kleinkauf R., Enns E., Eggenhofer F., Brown J., Cock P. J. A., Timm H., Thomas C., Zhang X. -O., Chambers M., Turaga N., Seiler E., Brislawn C., Pruesse E., Fallmann J., Kelleher J., Nguyen H., Parsons L., Fang Z., Stovner E. B., Stoler N., Ye S., Wohlers I., Farouni R., Freeberg M., Johnson J. E., Bargull M., Kensche P. R., Webster T. H., Eppley J. M., Stahl C., Rose A. S., Reynolds A., Wang L. -B., Garnier X., Dirmeier S., Knudsen M., Taylor J., Srivastava A., Rai V., Agren R., Junge A., Guimera R. V., Khan A., Schmeier S., He G., Pinello L., Hagglund E., Mikheyev A. S., Preussner J., Waters N. R., Li W., Capellades J., Chande A. T., Pirola Y., Hiltemann S., Bendall M. L., Singh S., Dunn W. A., Drouin A., Domenico T. D., Bruijn I., Larson D. E., Chicco D., Grassi E., Gonnella G., B J., Wang L., Giacomoni F., Clarke E., Blankenberg D., Tran C., Patro R., Laurent S., Gopez M., Sennblad B., Baaijens J. A., Ewels P., Wright P. R., Enache O. M., Roger P., Dampier W., Koppstein D., Devisetty U. K., Rausch T., Cornwell M., Salatino A. E., Seiler J., Jung M., Kornobis E., Cumbo F., Stocker B. K., Moskalenko O., Bogema D. R., Workentine M. L., Newhouse S. J., Leprevost F. D. V., Arvai K., Koster J., Albert-Ludwigs-Universität Freiburg, National Institutes of Health [Bethesda] (NIH), Swedish Defence Research Agency [Stockholm] (FOI), Umeå University, Harvard T.H. Chan School of Public Health, New York University [Abu Dhabi], NYU System (NYU), Harvard University [Cambridge], Hospital Camargo Sao Paulo, Partenaires INRAE, University of Duisburg-Essen, This work was supported by the Intramural Program of the National Institute of Diabetes and Digestive and Kidney Diseases, US National Institutes of Health (R.D.), the Netherlands Organisation for Scientific Research (NWO) (VENI grant 016.Veni.173.076 to J.K.), the German Research Foundation (SFB 876 to J.K.), and the NYU Abu Dhabi Research Institute for the NYU Abu Dhabi Center for Genomics and Systems Biology, program number CGSB1 (grant to J.R. and A. Yousif)., We thank all contributors, the conda-forge team, and Anaconda Inc. for excellent cooperation. Further, we thank Travis CI (https://travis-ci.com) and Circle CI (https://circleci.com) for providing free Linux and macOS computing capacity. Finally, we thank ELIXIR (https://www.elixir-europe.org) for constant support and donation of staff., Etienne Kornobis (Epigenetic Regulation Unit, Institut Pasteur, Paris, France) fait partie de Bioconda Team, Bioinformatics Group, Department of Computer Science, University of Freiburg [Freiburg], Laboratory of Cellular and Developmental Biology (LCDB), NIDDK, NIH, Department of Organismic and Evolutionary Biology, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Microbiologie Environnement Digestif Santé (MEDIS), INRA Clermont-Ferrand-Theix-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Umea Plant Science Center (UPSC), Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences (SLU)-Swedish University of Agricultural Sciences (SLU), Laboratoire Microorganismes : Génome et Environnement (LMGE), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Harvard University, Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Dale, R, Gruning, B, Sjodin, A, Rowe, J, Chapman, B, Tomkins-Tinch, C, Valieris, R, Batut, B, Caprez, A, Cokelaer, T, Yusuf, D, Beauchamp, K, Brinda, K, Wollmann, T, Corguille, G, Ryan, D, Bretaudeau, A, Hoogstrate, Y, Pedersen, B, Heeringen, S, Raden, M, Luna-Valero, S, Soranzo, N, Smet, M, Kuster, G, Kirchner, R, Pantano, L, Charlop-Powers, Z, Thornton, K, Martin, M, Beek, M, Maticzka, D, Miladi, M, Will, S, Gravouil, K, Unneberg, P, Brueffer, C, Blank, C, Piro, V, Wolff, J, Antao, T, Gladman, S, Shlyakhter, I, Hollander, M, Mabon, P, Shen, W, Boekel, J, Holtgrewe, M, Bouvier, D, de Ruiter, J, Cabral, J, Choudhary, S, Harding, N, Kleinkauf, R, Enns, E, Eggenhofer, F, Brown, J, Cock, P, Timm, H, Thomas, C, Zhang, X, Chambers, M, Turaga, N, Seiler, E, Brislawn, C, Pruesse, E, Fallmann, J, Kelleher, J, Nguyen, H, Parsons, L, Fang, Z, Stovner, E, Stoler, N, Ye, S, Wohlers, I, Farouni, R, Freeberg, M, Johnson, J, Bargull, M, Kensche, P, Webster, T, Eppley, J, Stahl, C, Rose, A, Reynolds, A, Wang, L, Garnier, X, Dirmeier, S, Knudsen, M, Taylor, J, Srivastava, A, Rai, V, Agren, R, Junge, A, Guimera, R, Khan, A, Schmeier, S, He, G, Pinello, L, Hagglund, E, Mikheyev, A, Preussner, J, Waters, N, Li, W, Capellades, J, Chande, A, Pirola, Y, Hiltemann, S, Bendall, M, Singh, S, Dunn, W, Drouin, A, Domenico, T, Bruijn, I, Larson, D, Chicco, D, Grassi, E, Gonnella, G, B, J, Giacomoni, F, Clarke, E, Blankenberg, D, Tran, C, Patro, R, Laurent, S, Gopez, M, Sennblad, B, Baaijens, J, Ewels, P, Wright, P, Enache, O, Roger, P, Dampier, W, Koppstein, D, Devisetty, U, Rausch, T, Cornwell, M, Salatino, A, Seiler, J, Jung, M, Kornobis, E, Cumbo, F, Stocker, B, Moskalenko, O, Bogema, D, Workentine, M, Newhouse, S, Leprevost, F, Arvai, K, Koster, J, Urology, and Pathology
- Subjects
0301 basic medicine ,Computer science ,[SDV]Life Sciences [q-bio] ,Medizin ,computer.software_genre ,Biochemistry ,User-Computer Interface ,03 medical and health sciences ,0302 clinical medicine ,Software system ,Molecular Biology ,ComputingMilieux_MISCELLANEOUS ,Social software engineering ,Database ,business.industry ,Software development ,INF/01 - INFORMATICA ,Computational Biology ,Cell Biology ,Software distribution ,030104 developmental biology ,Software construction ,[SDE]Environmental Sciences ,Package development process ,Backporting ,[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM] ,business ,computer ,Software ,030217 neurology & neurosurgery ,Biotechnology - Abstract
International audience; We present Bioconda (https://bioconda.github.io), a distribution of bioinformatics software for the lightweight, multi- platform and language-agnostic package manager Conda. Currently, Bioconda o ers a collection of over 3000 software packages, which is continuously maintained, updated, and extended by a growing global community of more than 200 contributors. Bio- conda improves analysis reproducibility by allowing users to de ne isolated environments with de ned software versions, all of which are easily installed and managed without administrative privileges.
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- 2018
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16. Unimolecular Decomposition Reactions of Picric Acid and Its Methylated DerivativesA DFT Study.
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Wiik, Kristine, Høyvik, Ida-Marie, Unneberg, Erik, Jensen, Tomas Lunde, and Swang, Ole
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- 2022
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17. High-throughput mutational screening adds clinically important information in myelodysplastic syndromes and secondary or therapy-related acute myeloid leukemia
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Karimi, M., primary, Nilsson, C., additional, Dimitriou, M., additional, Jansson, M., additional, Matsson, H., additional, Unneberg, P., additional, Lehmann, S., additional, Kere, J., additional, and Hellstrom-Lindberg, E., additional
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- 2015
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18. Integrative Annotation of 21,037 Human Genes\ud Validated by Full-Length cDNA Clones
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Imanishi, T., Itoh, T., Suzuki, Y., O'Donovan, C., Fukuchi, S., Koyanagi, K.O., Barrero, R.A., Tamura, T., Yamaguchi-Kabata, Y., Tanino, M., Yura, K., Miyazaki, S., Ikeo, K., Homma, K., Kasprzyk, A., Nishikawa, T., Hirakawa, M., Thierry-Mieg, J., Thierry-Mieg, D., Ashurst, J., Jia, L., Nakao, M., Thomas, M.A., Mulder, N., Karavidopoulou, Y., Jin, L., Kim, S., Yasuda, T., Lenhard, B., Eveno, E., Yamasaki, C., Takeda, J., Gough, C., Hilton, P., Fujii, Y., Sakai, H., Tanaka, S., Amid, C., Bellgard, M., De Fatima Bonaldo, M., Bono, H., Bromberg, S.K., Brookes, A.J., Bruford, E., Carninci, P., Chelala, C., Couillault, C., de Souza, S.J., Debily, M., Devignes, M., Dubchak, I., Endo, T., Estreicher, A., Eyras, E., Fukami-Kobayashi, K., Gopinath, G.R., Graudens, E., Hahn, Y., Han, M., Han, Z., Hanada, K., Hanaoka, H., Harada, E., Hinz, U., Hishiki, T., Hopkinson, I., Imbeaud, S., Inoko, H., Kanapin, A., Kaneko, Y., Kasukawa, T., Kersey, P., Kikuno, R., Kimura, K., Korn, B., Kuryshev, V., Makalowska, I., Makino, T., Mano, S., Mariage-Samson, R., Mashima, J., Matsuda, H., Mewes, H., Minoshima, S., Nagai, K., Nagasaki, H., Nagata, N., Nigam, R., Ogasawara, O., Ohara, O., Ohtsubo, M., Okido, T., Oota, S., Ota, M., Ota, T., Otsuki, T., Piatier-Tonneau, D., Poustka, A., Ren, S., Saitou, N., Sakai, K., Sakamoto, S., Sakate, R., Schupp, I., Servant, F., Sherry, S., Shiba, R., Shimizu, N., Shimoyama, M., Simpson, A.J., Soares, B., Steward, C., Suwa, M., Suzuki, M., Takahashi, A., Tamiya, G., Tanaka, H., Taylor, T., Terwilliger, J.D., Unneberg, P., Veeramachaneni, V., Watanabe, S., Wilming, L., Yasuda, N., Yoo, H-S., Stodolsky, M., Makalowski, W., Go, M., Nakai, K., Takagi, T., Kanehisa, M., Sakaki, Y., Quackenbush, J., Okazaki, Y., Hayashizaki, Y., Hide, W., Chakraborty, R., Nishikawa, K., Sugawara, H., Tateno, Y., Chen, Z., Oishi, M., Tonellato, P., Apweiler, R., Okubo, K., Wagner, L., Wiemann, S., Strausberg, R.L., Isogai, T., Auffray, C., Nomura, N., Gojobori, T., and Sugano, S.
- Abstract
The human genome sequence defines our inherent biological potential; the realization of the biology encoded therein\ud requires knowledge of the function of each gene. Currently, our knowledge in this area is still limited. Several lines of\ud investigation have been used to elucidate the structure and function of the genes in the human genome. Even so, gene\ud prediction remains a difficult task, as the varieties of transcripts of a gene may vary to a great extent. We thus\ud performed an exhaustive integrative characterization of 41,118 full-length cDNAs that capture the gene transcripts as\ud complete functional cassettes, providing an unequivocal report of structural and functional diversity at the gene level.\ud Our international collaboration has validated 21,037 human gene candidates by analysis of high-quality full-length\ud cDNA clones through curation using unified criteria. This led to the identification of 5,155 new gene candidates. It also\ud manifested the most reliable way to control the quality of the cDNA clones. We have developed a human gene\ud database, called the H-Invitational Database (H-InvDB; http://www.h-invitational.jp/). It provides the following:\ud integrative annotation of human genes, description of gene structures, details of novel alternative splicing isoforms,\ud non-protein-coding RNAs, functional domains, subcellular localizations, metabolic pathways, predictions of protein\ud three-dimensional structure, mapping of known single nucleotide polymorphisms (SNPs), identification of polymorphic\ud microsatellite repeats within human genes, and comparative results with mouse full-length cDNAs. The H-InvDB\ud analysis has shown that up to 4% of the human genome sequence (National Center for Biotechnology Information\ud build 34 assembly) may contain misassembled or missing regions. We found that 6.5% of the human gene candidates\ud (1,377 loci) did not have a good protein-coding open reading frame, of which 296 loci are strong candidates for nonprotein-coding\ud RNA genes. In addition, among 72,027 uniquely mapped SNPs and insertions/deletions localized within\ud human genes, 13,215 nonsynonymous SNPs, 315 nonsense SNPs, and 452 indels occurred in coding regions. Together\ud with 25 polymorphic microsatellite repeats present in coding regions, they may alter protein structure, causing\ud phenotypic effects or resulting in disease. The H-InvDB platform represents a substantial contribution to resources\ud needed for the exploration of human biology and pathology
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- 2004
19. The genomic landscape underlying phenotypic integrity in the face of gene flow in crows
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Poelstra, Jelmer W., Vijay, Nagarjun, Bossu, Christen M., Lantz, Henrik, Ryll, Bettina, Mueller, I., Baglione, V., Unneberg, P., Wikelski, M., Grabherr, Manfred G., Wolf, Jochen B. W., Poelstra, Jelmer W., Vijay, Nagarjun, Bossu, Christen M., Lantz, Henrik, Ryll, Bettina, Mueller, I., Baglione, V., Unneberg, P., Wikelski, M., Grabherr, Manfred G., and Wolf, Jochen B. W.
- Abstract
The importance, extent, and mode of interspecific gene flow for the evolution of species has long been debated. Characterization of genomic differentiation in a classic example of hybridization between all-black carrion crows and gray-coated hooded crows identified genome-wide introgression extending far beyond the morphological hybrid zone. Gene expression divergence was concentrated in pigmentation genes expressed in gray versus black feather follicles. Only a small number of narrow genomic islands exhibited resistance to gene flow. One prominent genomic region (<2 megabases) harbored 81 of all 82 fixed differences (of 8.4 million single-nucleotide polymorphisms in total) linking genes involved in pigmentation and in visual perception-a genomic signal reflecting color-mediated prezygotic isolation. Thus, localized genomic selection can cause marked heterogeneity in introgression landscapes while maintaining phenotypic divergence.
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- 2014
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20. Association and Mutation Analyses of the IRF6 Gene in Families With Nonsyndromic and Syndromic Cleft Lip and/or Cleft Palate
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Pegelow, M., Koillinen, H., Magnusson, M., Fransson, I., Unneberg, P., Kere, J., Karsten, A., Peyrard-Janvid, M., Pegelow, M., Koillinen, H., Magnusson, M., Fransson, I., Unneberg, P., Kere, J., Karsten, A., and Peyrard-Janvid, M.
- Abstract
Objectives: (1) To detect interferon regulatory factor 6 gene (IRF6) mutations in newly recruited Van der Woude syndrome (VWS) and popliteal pterygium syndrome (PPS) families. (2) To test for association, in nonsyndromic cleft lip and/or cleft palate (NSCL/P) and in VWS/PPS families, the single nucleotide polymorphism (SNP) rs642961, from the IRF6 enhancer AP-2 alpha region, alone or as haplotype with rs2235371, a coding SNP (Val274Ile). Design: IRF6 mutation screening was performed by direct sequencing and genotyping of rs642961 and rs2235371 by TaqMan technology. Patients: Seventy-one Swedish NSCL/P families, 24 Finnish cleft palate (CP) families, and 24 VWS/PPS families (seven newly recruited) were studied. Results: Allelic and genotypic frequencies in each phenotype were compared to those of the controls, and no significant difference could be observed. IRF6 gene mutation was detected in six of the seven new VWS/PPS families. Association analysis of the entire VWS/PPS sample set revealed the A allele from rs642961 to be a risk allele. Significant association was detected in the Swedish CP subset of our NSCL/P collection where the G-C haplotype for rs642961-rs2235371 were at risk (P = .013). Conclusions: Our results do not support the previously reported association between the A allele of rs642961 and the NSCL phenotype. However, in the VWS/PPS families, the A allele was a risk allele and was, in a large majority (>80%), transmitted on the same chromosome as the IRF6 mutation., AuthorCount:8
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- 2014
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21. Association and Mutation Analyses of the IRF6 Gene in Families with Nonsyndromic and Syndromic Cleft Lip and/or Cleft Palate
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Pegelow, M., primary, Koillinen, H., additional, Magnusson, M., additional, Fransson, I., additional, Unneberg, P., additional, Kere, J., additional, Karsten, A., additional, and Peyrard-Janvid, M., additional
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- 2014
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22. P-110 Evaluation of a high throughput mutation-screening strategy in myelodysplastic syndrome patients and acute myeloid leukemia using Halogenomics™ targeted-gene enrichment technology
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Karimi, M., primary, Dimitriou, M., additional, Nilsson, C., additional, Jansson, M., additional, Matsson, H., additional, Unneberg, P., additional, Lehmann, S., additional, Kere, J., additional, and Hellström-Lindberg, E., additional
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- 2013
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23. P-005 Aberrant splicing during erythroid differentiation in SF3B1 mutated sideroblastic anemia
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Conte, S., primary, Vesterlund, L., additional, Katayama, S., additional, Karimi, M., additional, Unneberg, P., additional, Papaemmanuil, E., additional, Jansson, M., additional, Mortera-Blanco, T., additional, Dimitriou, M., additional, Sander, B., additional, Skoog, T., additional, Campbell, P., additional, Kere, J., additional, and Hellström-Lindberg, E., additional
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- 2013
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24. The genome of black cottonwood, Populus trichocarpa (Torr. & Gray).
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Tuskan, G A, Difazio, S, Jansson, Stefan, Bohlmann, J, Grigoriev, I, Hellsten, U, Putnam, N, Ralph, S, Rombauts, S, Salamov, A, Schein, J, Sterck, L, Aerts, A, Bhalerao, Rupali R, Bhalerao, Rishikesh P, Blaudez, D, Boerjan, W, Brun, A, Brunner, A, Busov, V, Campbell, M, Carlson, J, Chalot, M, Chapman, J, Chen, G-L, Cooper, D, Coutinho, P M, Couturier, J, Covert, S, Cronk, Q, Cunningham, R, Davis, J, Degroeve, S, Déjardin, A, Depamphilis, C, Detter, J, Dirks, B, Dubchak, I, Duplessis, S, Ehlting, J, Ellis, B, Gendler, K, Goodstein, D, Gribskov, M, Grimwood, J, Groover, A, Gunter, L, Hamberger, B, Heinze, B, Helariutta, Y, Henrissat, B, Holligan, D, Holt, R, Huang, W, Islam-Faridi, N, Jones, S, Jones-Rhoades, M, Jorgensen, R, Joshi, C, Kangasjärvi, J, Karlsson, Jan, Kelleher, C, Kirkpatrick, R, Kirst, M, Kohler, A, Kalluri, U, Larimer, F, Leebens-Mack, J, Leplé, J-C, Locascio, P, Lou, Y, Lucas, S, Martin, F, Montanini, B, Napoli, C, Nelson, D R, Nelson, C, Nieminen, K, Nilsson, Ove, Pereda, V, Peter, G, Philippe, R, Pilate, G, Poliakov, A, Razumovskaya, J, Richardson, P, Rinaldi, C, Ritland, K, Rouzé, P, Ryaboy, D, Schmutz, J, Schrader, J, Segerman, Bo, Shin, H, Siddiqui, A, Sterky, Fredrik, Terry, A, Tsai, C-J, Uberbacher, E, Unneberg, P, Vahala, J, Wall, K, Wessler, S, Yang, G, Yin, T, Douglas, C, Marra, M, Sandberg, Göran, Van de Peer, Y, Rokhsar, D, Tuskan, G A, Difazio, S, Jansson, Stefan, Bohlmann, J, Grigoriev, I, Hellsten, U, Putnam, N, Ralph, S, Rombauts, S, Salamov, A, Schein, J, Sterck, L, Aerts, A, Bhalerao, Rupali R, Bhalerao, Rishikesh P, Blaudez, D, Boerjan, W, Brun, A, Brunner, A, Busov, V, Campbell, M, Carlson, J, Chalot, M, Chapman, J, Chen, G-L, Cooper, D, Coutinho, P M, Couturier, J, Covert, S, Cronk, Q, Cunningham, R, Davis, J, Degroeve, S, Déjardin, A, Depamphilis, C, Detter, J, Dirks, B, Dubchak, I, Duplessis, S, Ehlting, J, Ellis, B, Gendler, K, Goodstein, D, Gribskov, M, Grimwood, J, Groover, A, Gunter, L, Hamberger, B, Heinze, B, Helariutta, Y, Henrissat, B, Holligan, D, Holt, R, Huang, W, Islam-Faridi, N, Jones, S, Jones-Rhoades, M, Jorgensen, R, Joshi, C, Kangasjärvi, J, Karlsson, Jan, Kelleher, C, Kirkpatrick, R, Kirst, M, Kohler, A, Kalluri, U, Larimer, F, Leebens-Mack, J, Leplé, J-C, Locascio, P, Lou, Y, Lucas, S, Martin, F, Montanini, B, Napoli, C, Nelson, D R, Nelson, C, Nieminen, K, Nilsson, Ove, Pereda, V, Peter, G, Philippe, R, Pilate, G, Poliakov, A, Razumovskaya, J, Richardson, P, Rinaldi, C, Ritland, K, Rouzé, P, Ryaboy, D, Schmutz, J, Schrader, J, Segerman, Bo, Shin, H, Siddiqui, A, Sterky, Fredrik, Terry, A, Tsai, C-J, Uberbacher, E, Unneberg, P, Vahala, J, Wall, K, Wessler, S, Yang, G, Yin, T, Douglas, C, Marra, M, Sandberg, Göran, Van de Peer, Y, and Rokhsar, D
- Abstract
We report the draft genome of the black cottonwood tree, Populus trichocarpa. Integration of shotgun sequence assembly with genetic mapping enabled chromosome-scale reconstruction of the genome. More than 45,000 putative protein-coding genes were identified. Analysis of the assembled genome revealed a whole-genome duplication event; about 8000 pairs of duplicated genes from that event survived in the Populus genome. A second, older duplication event is indistinguishably coincident with the divergence of the Populus and Arabidopsis lineages. Nucleotide substitution, tandem gene duplication, and gross chromosomal rearrangement appear to proceed substantially more slowly in Populus than in Arabidopsis. Populus has more protein-coding genes than Arabidopsis, ranging on average from 1.4 to 1.6 putative Populus homologs for each Arabidopsis gene. However, the relative frequency of protein domains in the two genomes is similar. Overrepresented exceptions in Populus include genes associated with lignocellulosic wall biosynthesis, meristem development, disease resistance, and metabolite transport.
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- 2006
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25. Shotgun sequencing and microarray analysis of RDA transcripts
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Andersson, T., Borang, S., Unneberg, P., Wirta, V., Thelin, A., Lundeberg, Joakim, Odeberg, Jacob, Andersson, T., Borang, S., Unneberg, P., Wirta, V., Thelin, A., Lundeberg, Joakim, and Odeberg, Jacob
- Abstract
Monitoring of differential gene expression is an important step towards understanding of gene function. We describe a comparison of the representational difference analysis (RDA) subtraction process with corresponding microarray analysis. The subtraction steps are followed in a quantitative manner using a shotgun cloning and sequencing procedure that includes over 1900 gene sequences. In parallel, the enriched transcripts are spotted onto microarrays facilitating large scale hybridization analysis of the representations and the difference products. We show by the shotgun procedure that there is a high diversity of gene fragments represented in the iterative RDA products (92-67% singletons) with a low number of shared sequences (<9%) between subsequent subtraction cycles. A non redundant set of 1141 RDA clones were immobilized on glass slides and the majority of these clones (97%) gave repeated good fluorescent signals in a subsequent hybridization of the labelled and amplified original cDNA. We observed only a low number of false positives (<2%) and a more than twofold differential expression for 32% (363) of the immobilized RDA clones. In conclusion, we show that by random sequencing of the difference products we obtained an accurate transcript profile of the individual steps and that large-scale confirmation of the obtained transcripts can be achieved by microarray analysis., QC 20100525
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- 2003
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26. Monitoring of representational difference analysis subtraction procedures by global microarrays
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Andersson, T., Unneberg, P., Nilsson, Peter, Odeberg, Jacob, Quackenbush, J., Lundeberg, Joakim, Andersson, T., Unneberg, P., Nilsson, Peter, Odeberg, Jacob, Quackenbush, J., and Lundeberg, Joakim
- Abstract
Various approaches to the study of differential gene expression are applied to compare cell lines and tissue samples in a wide range of biological contexts. The compromise between focusing on only the important genes in certain cellular processes and achieving a complete picture is critical for the selection of strategy. We demonstrate how global microarray technology can be used for the exploration of the differentially expressed genes extracted through representational difference analysis (RDA). The subtraction of ubiquitous gene fragments from the two samples was demonstrated using cDNA microarrays including more than 32 000 spotted, PCR-amplified human clones. Hybridizations indicated the expression of 9100 of the microarray elements in a macrophage/foam cell atherosclerosis model system, of which many were removed during the RDA process. The stepwise subtraction procedure was demonstrated to yield an efficient enrichment of gene fragments overrepresented in either sample (18% in the representations, 86% after the first subtraction, and 88% after the second subtraction), many of which were impossible to detect in the starting material. Interestingly, the method allowed for the observation of the differential expression of several members of the low-abundant nuclear receptor gene family. We also observed a certain background level in the difference products of nondifferentially expressed gene fragments, warranting a verification strategy for selected candidate genes. The differential expression of several genes was verified by real-time PCR., QC 20100525
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- 2002
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27. SNP discovery using advanced algorithms and neural networks
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Unneberg, P., primary, Stromberg, M., additional, and Sterky, F., additional
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- 2005
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28. Transcript identification by analysis of short sequence tags--influence of tag length, restriction site and transcript database
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Unneberg, P., primary
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- 2003
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29. The effect of lateral retinacular release in idiopathic chondromalacia patellae
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Unneberg, K. and Reikerås, O.
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- 1988
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30. Monitoring of Representational Difference Analysis Subtraction Procedures by Global Microarrays
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Andersson, T., primary, Unneberg, P., additional, Nilsson, P., additional, Odeberg, J., additional, Quackenbush, J., additional, and Lundeberg, J., additional
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- 2002
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31. Association and Mutation Analyses of the IRF6Gene in Families with Nonsyndromic and Syndromic Cleft Lip and/or Cleft Palate
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Pegelow, M., Koillinen, H., Magnusson, M., Fransson, I., Unneberg, P., Kere, J., Karsten, A., and Peyrard-Janvid, M.
- Abstract
Objectives (1) To detect interferon regulatory factor 6 gene (IRF6) mutations in newly recruited Van der Woude syndrome (VWS) and popliteal pterygium syndrome (PPS) families. (2) To test for association, in nonsyndromic cleft lip and/or cleft palate (NSCL/P) and in VWS/PPS families, the single nucleotide polymorphism (SNP) rs642961, from the IRF6enhancer AP-2a region, alone or as haplotype with rs2235371, a coding SNP (Val274Ile).Design IRF6mutation screening was performed by direct sequencing and genotyping of rs642961 and rs2235371 by TaqMan technology.Patients Seventy-one Swedish NSCL/P families, 24 Finnish cleft palate (CP) families, and 24 VWS/PPS families (seven newly recruited) were studied.Results Allelic and genotypic frequencies in each phenotype were compared to those of the controls, and no significant difference could be observed. IRF6gene mutation was detected in six of the seven new VWS/PPS families. Association analysis of the entire VWS/PPS sample set revealed the A allele from rs642961 to be a risk allele. Significant association was detected in the Swedish CP subset of our NSCL/P collection where the G-C haplotype for rs642961-rs2235371 were at risk (P= .013).Conclusions Our results do not support the previously reported association between the A allele of rs642961 and the NSCL phenotype. However, in the VWS/PPS families, the A allele was a risk allele and was, in a large majority (>80%), transmitted on the same chromosome as the IRF6mutation.
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- 2014
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32. SOMCD: Method for evaluating protein secondary structure from UV circular dichroism spectraAn implementation of the method presented in this article will be available online at http://somcd.geneura.org.
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Unneberg, Per, Merelo, Juan J., Chacón, Pablo, and Morán, Federico
- Abstract
This article presents SOMCD, an improved method for the evaluation of protein secondary structure from circular dichroism spectra, based on Kohonen's self‐organizing maps (SOM). Protein circular dichroism (CD) spectra are used to train a SOM, which arranges the spectra on a two‐dimensional map. Location in the map reflects the secondary structure composition of a protein. With SOMCD, the prediction of β‐turn has been included. The number of spectra in the training set has been increased, and it now includes 39 protein spectra and 6 reference spectra. Finally, SOM parameters have been chosen to minimize distortion and make the network produce clusters with known properties. Estimation results show improvements compared with the previous version, K2D, which, in addition, estimated only three secondary structure components; the accuracy of the method is more uniform over the different secondary structures. Proteins 2001;42:460–470. © 2001 Wiley‐Liss, Inc.
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- 2001
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33. Experimental study to show that growth hormone treatment before trauma increases glutamine uptake in the intestinal tract
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Mjaaland, M, Unneberg, K, Jenssen, T G, and Revhaug, A
- Abstract
This study examined whether growth hormone treatment deprived the intestinal tract of glutamine after trauma. Piglets were treated with growth hormone 24 units daily 3 days before and at the start of the trauma (GH-3, n= 8) or at the start of the trauma only (GH-i, n= 8). Eight piglets acted as non-treated controls. The trauma consisted of a standardized abdominal surgical procedure. Primed constant infusions of U-14C-glutamine were given. Intestinal, hepatic, renal and hindleg—glutamine fluxes were measured. Growth hormone treatment increased mean(s.e.m.) net intestinal glutamine uptake: GH-3, 39·7(9·4) and 48·7(12·7) μmol/min; GH-1, 33·2(5·5) and 25·7(12·3) μmol/min; controls, 19·5(10·3) and 2·0(15·3) μmol/min at 1 h and 5 h after trauma, respectively, (P = 0·02). The treatment increased glutamine oxidation (P = 0·025), and decreased hindleg glutamine net (P = 0·0052) and absolute release (P = 0·0063), glutamine rate of appearance (P = 0·01), and percentage of glucose coming from glutamine (P = 0·05). Growth hormone treatment before trauma increased mtestinal glutamine uptake.
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- 1995
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34. The Influence of Growth Hormone on Tumour Necrosis Factor and Neutrophil Leukocyte Function in Sepsis
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Balteskard, Lise, Unneberg, Kjetil, Halvorsen, Dag, Ytrebø, Lars, Waage, Anders, Sjursen, Haakon, and Revhaug, Arthur
- Abstract
The aim of this study was to assess the influence of growth hormone (GH) in sepsis on the immune system represented by the circulating TNF-levels and the neutrophil leukocytes phagocytic capacity and respiratory burst. 22 piglets were randomized to 3 groups; pretreatment with GH (16 IU) before sepsis (n = 8), non-treated septic controls (n = 8), and non-septic controls (n = 6). Sepsis was induced by a standardized infusion of live E. coli. TNF was measured by a cytotoxic bioassay, while neutrophil function tests were carried out by flowcytometric assays. In brief, phagocytosis was evaluated by the neutrophils' ability to ingest FITC-labelled (fluorescein isothiocyanate) E. coli and intracellular release of oxygen metabolites was detected by the oxidation of 2',7'-dichlorofluorescin (DCFH) to the fluorescent 2',7'-dichlorofluorescein (DCF). Our data show a suppression of phagocytosis in the GH-treated group before sepsis; however, when challenged with Gram-negative bacteria, the phagocytic capacity was similar to that of the non-treated animals. The serum levels of TNF in the non-treated septic control group were twice the levels of those in the GH-treated group, 65.7 pg/ml (septic controls) vs 32.8 pg/ml (GH). Pretreatment with a single dose of GH few hours prior to sepsis does not seem to entail any further imbalance of the neutrophil function in sepsis. Lowering of the circulating TNF-levels is a presumptive favourable effect of GH in sepsis.
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- 1997
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35. H-[B]-ZSM-5 as catalyst for methanol reactions
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Unneberg, Erik and Kolboe, Stein
- Abstract
Hydrothermally synthesized silicalite-I, [Al]-ZSM-5 and borosilicates with the MFI structure were subjected to several characterization techniques (SEM, IR, BET, XRD, NMR, ICP and ion exchange measurements). It was confirmed that boron had entered the framework in the boron samples. In the protonated from the borosilicate catalyzed the alkylation of toluene by methanol and also the dehydration of methanol to hydrocarbons, though it was much less active than H-[Al]-ZSM-5 and showed markedly different selectivities. It was observed that whereas 98–99% of the methanol was converted to C2+ hydrocarbons over H-[Al]-ZSM-5 the corresponding conversion over H-[B]-ZSM-5 was less than 0.2%.
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- 1995
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36. Erythropoiesis In SF3B1 Mutated RARS Is Disrupted During Terminal Erythroid Maturation
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Conte, Simona, Vesterlund, Liselotte, Katayama, Shintaro, Karimi, Mohsen, Papaemmanuil, Elli, Jansson, Monika, Mortera-Blanco, Teresa, Dimitriou, Marios, Sander, Birgitta, Skoog, Tiina, Campbell, Peter J., Kere, Juha, Unneberg, Per, and Hellström-Lindberg, Eva
- Abstract
No relevant conflicts of interest to declare.
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- 2013
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37. Transcriptome Analysis of Differentiating Erythroid Progenitors in Refractory Anemia with Ringed Sideroblasts
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Unneberg, Per, Nikpour, Maryam, Vesterlund, Liselotte, Jansson, Monika, Kere, Juha, and Hellström-Lindberg, Eva
- Abstract
Refractory anaemia with ring sideroblasts (RARS) represents one subtype of the myelodysplastic syndrome characterized by apoptosis of erythroid precursors and accumulation of aberrant mitochondrial ferritin. Gene expression profiling (GEP) has revealed significant dysregulation of genes involved in iron transport and mitochondrial and erythroid function (Nikpour et al, 2010) but no specific mutations have been identified. Generally, dysregulation increases with forced differentiation indicating alterations of underlying transcription factors. To further explore the molecular mechanisms in RARS, we examined the transcriptional profile associated with early erythroid maturation in NBM and RARS using RNA-Seq. RNA sequencing (RNA-Seq) is a novel method to analyze the full transcriptional activity of a cell or tissue. Expression levels of specific genes, differential splicing, allele-specific expression of transcripts can be accurately determined by RNA-Seq experiments to address many biological-related issues.Bone marrow aspirates were collected from a patient and a control and subjected to CD34+ separation. Cells were cultured for 4 days to allow for erythroid maturation. cDNA libraries were prepared from RNA extracted from these two time points (0 and 4 days), and thereafter sequenced on Life Technology's next generation sequencing platform SOLiD. Approximately 80 million reads were obtained for each library (see Table 1). Two sets of analyses were made; one blinded for position (PU) to allow for an unbiased analysis of data and one (MN) comparing position profiles with raised previous GEP findings.Reads were mapped to the human genome reference sequence (NCBI build version GRCh37) using the bowtie alignment program. To minimize expression level bias through the misclassification of transcripts, only uniquely mapping reads were retained for downstream analysis. Between 14 and 16 million uniquely mapping reads were obtained for each library.Gene models were defined on the genome based on annotations in the ensemble genome database release 58. Reads were associated with a gene if it overlapped any part of a gene, including introns. Furthermore, overlapping genes were removed, ensuring unique read-gene association. 38926 gene models were used in the analysis. Raw gene expression counts for each gene model were obtained as the number of reads that overlapped that gene model. Between 7 and 10 million reads were retained for further analysis.Differential gene expression analysis was done using the bioconductor package DESeq. We compared samples pairwise using a negative binomial statistical model to assess significant differential expression. We corrected for multiple testing using a false discovery rate of 0.1. The number of differentially expressed genes ranged from 10 (comparison Control D4-RARS D4) to 294 (comparison Control CD34+-RARS CD34+). Due to the lack of replicates, variance estimates are uncertain, leading to a lower number of inferred differentially expressed genes. Based on correlation of gene expression and the number of differentially expressed genes, samples could be clustered into two pairs, Control CD34+-RARS CD34+ and Control D4-RARS D4.In order to infer potential functional differences between the samples, we analyzed the function of the differentially expressed genes and performed gene category overrepresentation analysis, using the gene ontology classification system. Interestingly, several non-coding RNAs involved in eg miRNA processing were significantly down-regulated in both RARS positions, compared to NBM. We also identified dramatic dysregulation of two putative zinc finger transcription factors during erythroid differentiation.We conclude that high-quality transcriptome analysis at different time points during erythroid maturation is able to add significant new information to conventional gene expression profiling, which will lead to a more comprehensive understanding of the molecular pathogenesis of RARS.No relevant conflicts of interest to declare.
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- 2010
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38. BBS & hypnotherapy, how and why do patients get better?
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Sjoberg, Martha E., Nyhlin, Henry, and Unneberg, Ann-Sofi
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- 2000
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39. Effects of Endothelin-1 on Hepatic Blood Flow
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Unneberg, Kjetil, Mjaaland, Marianne, Helseth, Elin, and Revhaug, Arthur
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Endothelin-1 belongs to a family of potent vasoconstrictors, recently isolated from endothelial cells. Endothelin-1 has a variety of hepatic effects and hepatic clearance from the circulation is important. Elevated plasma concentrations of Endothelin-1 are found after orthotopic liver transplantation and in cirrhosis with ascites.
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- 1995
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40. The evolutionary maintenance of ancient recombining sex chromosomes in the ostrich.
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Yazdi HP, Olito C, Kawakami T, Unneberg P, Schou MF, Cloete SWP, Hansson B, and Cornwallis CK
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- Male, Animals, Female, Evolution, Molecular, Recombination, Genetic, Sex Chromosomes genetics, Biological Evolution, Mammals genetics, Struthioniformes genetics
- Abstract
Sex chromosomes have evolved repeatedly across the tree of life and often exhibit extreme size dimorphism due to genetic degeneration of the sex-limited chromosome (e.g. the W chromosome of some birds and Y chromosome of mammals). However, in some lineages, ancient sex-limited chromosomes have escaped degeneration. Here, we study the evolutionary maintenance of sex chromosomes in the ostrich (Struthio camelus), where the W remains 65% the size of the Z chromosome, despite being more than 100 million years old. Using genome-wide resequencing data, we show that the population scaled recombination rate of the pseudoautosomal region (PAR) is higher than similar sized autosomes and is correlated with pedigree-based recombination rate in the heterogametic females, but not homogametic males. Genetic variation within the sex-linked region (SLR) (π = 0.001) was significantly lower than in the PAR, consistent with recombination cessation. Conversely, genetic variation across the PAR (π = 0.0016) was similar to that of autosomes and dependent on local recombination rates, GC content and to a lesser extent, gene density. In particular, the region close to the SLR was as genetically diverse as autosomes, likely due to high recombination rates around the PAR boundary restricting genetic linkage with the SLR to only ~50Kb. The potential for alleles with antagonistic fitness effects in males and females to drive chromosome degeneration is therefore limited. While some regions of the PAR had divergent male-female allele frequencies, suggestive of sexually antagonistic alleles, coalescent simulations showed this was broadly consistent with neutral genetic processes. Our results indicate that the degeneration of the large and ancient sex chromosomes of the ostrich may have been slowed by high recombination in the female PAR, reducing the scope for the accumulation of sexually antagonistic variation to generate selection for recombination cessation., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Yazdi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
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- 2023
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41. Expanding the stdpopsim species catalog, and lessons learned for realistic genome simulations.
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Lauterbur ME, Cavassim MIA, Gladstein AL, Gower G, Pope NS, Tsambos G, Adrion J, Belsare S, Biddanda A, Caudill V, Cury J, Echevarria I, Haller BC, Hasan AR, Huang X, Iasi LNM, Noskova E, Obsteter J, Pavinato VAC, Pearson A, Peede D, Perez MF, Rodrigues MF, Smith CCR, Spence JP, Teterina A, Tittes S, Unneberg P, Vazquez JM, Waples RK, Wohns AW, Wong Y, Baumdicker F, Cartwright RA, Gorjanc G, Gutenkunst RN, Kelleher J, Kern AD, Ragsdale AP, Ralph PL, Schrider DR, and Gronau I
- Subjects
- Computer Simulation, Genetics, Population, Genomics, Software, Genome
- Abstract
Simulation is a key tool in population genetics for both methods development and empirical research, but producing simulations that recapitulate the main features of genomic datasets remains a major obstacle. Today, more realistic simulations are possible thanks to large increases in the quantity and quality of available genetic data, and the sophistication of inference and simulation software. However, implementing these simulations still requires substantial time and specialized knowledge. These challenges are especially pronounced for simulating genomes for species that are not well-studied, since it is not always clear what information is required to produce simulations with a level of realism sufficient to confidently answer a given question. The community-developed framework stdpopsim seeks to lower this barrier by facilitating the simulation of complex population genetic models using up-to-date information. The initial version of stdpopsim focused on establishing this framework using six well-characterized model species (Adrion et al., 2020). Here, we report on major improvements made in the new release of stdpopsim (version 0.2), which includes a significant expansion of the species catalog and substantial additions to simulation capabilities. Features added to improve the realism of the simulated genomes include non-crossover recombination and provision of species-specific genomic annotations. Through community-driven efforts, we expanded the number of species in the catalog more than threefold and broadened coverage across the tree of life. During the process of expanding the catalog, we have identified common sticking points and developed the best practices for setting up genome-scale simulations. We describe the input data required for generating a realistic simulation, suggest good practices for obtaining the relevant information from the literature, and discuss common pitfalls and major considerations. These improvements to stdpopsim aim to further promote the use of realistic whole-genome population genetic simulations, especially in non-model organisms, making them available, transparent, and accessible to everyone., Competing Interests: ML, MC, GG, NP, GT, SB, VC, JC, IE, BH, AH, XH, LI, EN, JO, VP, AP, DP, MP, MR, CS, JS, AT, ST, PU, JV, RW, AW, YW, FB, RC, GG, RG, JK, AK, AR, PR, DS, IG No competing interests declared, AG is an employee of Embark Veterinary, Inc. The author declares that no other competing interests exist, JA is an employee of Ancestry DNA. The author declares that no other competing interests exist, AB is an employee of 54Gene, Inc. The author declares that no other competing interests exist, (© 2023, Lauterbur et al.)
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- 2023
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42. Massive parallel sequencing questions the pathogenic role of missense variants in dilated cardiomyopathy.
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Dalin MG, Engström PG, Ivarsson EG, Unneberg P, Light S, Schaufelberger M, Gilljam T, Andersson B, and Bergo MO
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- Adolescent, Adult, Aged, Cardiomyopathy, Dilated mortality, Cardiomyopathy, Dilated therapy, Case-Control Studies, Female, Gene Frequency, Genome-Wide Association Study, Humans, Male, Middle Aged, Mutation, Missense, Survival Analysis, Sweden, Young Adult, Cardiomyopathy, Dilated genetics
- Abstract
Background: Germline genetic variants are an important cause of dilated cardiomyopathy (DCM). However, recent sequencing studies have revealed rare variants in DCM-associated genes also in individuals without known heart disease. In this study, we investigate variant prevalence and genotype-phenotype correlations in Swedish DCM patients, and compare their genetic variants to those detected in reference cohorts., Methods and Results: We sequenced the coding regions of 41 DCM-associated genes in 176 unrelated patients with idiopathic DCM and found 102 protein-altering variants with an allele frequency of <0.04% in reference cohorts; the majority were missense variants not previously described in DCM. Fifty-five (31%) patients had one variant, and 24 (14%) patients had two or more variants in the analysed genes. Detection of genetic variants in any gene, and in LMNA, MYH7 or TTN alone, was associated with early onset disease and reduced transplant-free survival. As expected, nonsense and frameshift variants were more common in DCM patients than in healthy individuals of the reference cohort 1000 Genomes Europeans. Surprisingly however, the prevalence, conservation and pathogenicity scores, and localization of missense variants were similar in DCM patients and healthy reference individuals., Conclusion: To our knowledge, this is the first study to identify correlations between genotype and prognosis when sequencing a large number of genes in unselected DCM patients. The similar distribution of missense variants in DCM patients and healthy reference individuals questions the pathogenic role of many variants, and suggests that results from genetic testing of DCM patients should be interpreted with caution., (Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.)
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- 2017
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43. Genetic Variants in CHIA and CHI3L1 Are Associated with the IgE Response to the Ascaris Resistance Marker ABA-1 and the Birch Pollen Allergen Bet v 1.
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Acevedo N, Bornacelly A, Mercado D, Unneberg P, Mittermann I, Valenta R, Kennedy M, Scheynius A, and Caraballo L
- Subjects
- Adolescent, Adult, Female, Humans, Hypersensitivity immunology, Immunoglobulin E immunology, Male, Middle Aged, Pollen immunology, Young Adult, Allergens immunology, Antigens, Plant immunology, Chitinase-3-Like Protein 1 genetics, Chitinases genetics, Helminth Proteins immunology, Hypersensitivity genetics, Immunoglobulin E genetics
- Abstract
Helminth infections and allergic diseases are associated with IgE hyperresponsiveness but the genetics of this phenotype remain to be defined. Susceptibility to Ascaris lumbricoides infection and antibody levels to this helminth are associated with polymorphisms in locus 13q33-34. We aimed to explore this and other genomic regions to identify genetic variants associated with the IgE responsiveness in humans. Forty-eight subjects from Cartagena, Colombia, with extreme values of specific IgE to Ascaris and ABA-1, a resistance marker of this nematode, were selected for targeted resequencing. Burden analyses were done comparing extreme groups for IgE values. One-hundred one SNPs were genotyped in 1258 individuals of two well-characterized populations from Colombia and Sweden. Two low-frequency coding variants in the gene encoding the Acidic Mammalian Chitinase (CHIA rs79500525, rs139812869, tagged by rs10494133) were found enriched in high IgE responders to ABA-1 and confirmed by genetic association analyses. The SNP rs4950928 in the Chitinase 3 Like 1 gene (CHI3L1) was associated with high IgE to ABA-1 in Colombians and with high IgE to Bet v 1 in the Swedish population. CHIA rs10494133 and ABDH13 rs3783118 were associated with IgE responses to Ascaris. SNPs in the Tumor Necrosis Factor Superfamily Member 13b gene (TNFSF13B) encoding the cytokine B cell activating Factor were associated with high levels of total IgE in both populations. This is the first report on the association between low-frequency and common variants in the chitinases-related genes CHIA and CHI3L1 with the intensity of specific IgE to ABA-1 in a population naturally exposed to Ascaris and with Bet v 1 in a Swedish population. Our results add new information about the genetic influences of human IgE responsiveness; since the genes encode for enzymes involved in the immune response to parasitic infections, they could be helpful for understanding helminth immunity and allergic responses. We also confirmed that TNFSF13B has an important and conserved role in the regulation of total IgE levels, which supports potential evolutionary links between helminth immunity and allergic response., Competing Interests: RV has received research grants from the European Union, by Biomay AG, Vienna, Austria, Thermofisher, Uppsala, Sweden and Fresenius Medical Care, Bad Homburg, Germany. He serves as a consultant for Biomay AG, Vienna, Austria, Thermofisher, Uppsala, Sweden and Fresenius Medical Care, Bad Homburg, Germany. There are no patents, products in development or marketed products to declare. This does not alter our adherence to all the PLOS ONE policies on sharing data and materials.
- Published
- 2016
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44. The role of germline alterations in the DNA damage response genes BRIP1 and BRCA2 in melanoma susceptibility.
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Tuominen R, Engström PG, Helgadottir H, Eriksson H, Unneberg P, Kjellqvist S, Yang M, Lindén D, Edsgärd D, Hansson J, and Höiom V
- Subjects
- Adult, Aged, Aged, 80 and over, Case-Control Studies, DNA, Neoplasm analysis, DNA, Neoplasm genetics, Fanconi Anemia Complementation Group Proteins, Female, Follow-Up Studies, Humans, Male, Melanoma pathology, Middle Aged, Pedigree, Prognosis, BRCA2 Protein genetics, DNA Damage genetics, DNA-Binding Proteins genetics, Genetic Predisposition to Disease, Germ-Line Mutation genetics, Melanoma genetics, RNA Helicases genetics
- Abstract
We applied a targeted sequencing approach to identify germline mutations conferring a moderately to highly increased risk of cutaneous and uveal melanoma. Ninety-two high-risk melanoma patients were screened for inherited variation in 120 melanoma candidate genes. Observed gene variants were filtered based on frequency in reference populations, cosegregation with melanoma in families and predicted functional effect. Several novel or rare genetic variants in genes involved in DNA damage response, cell-cycle regulation and transcriptional control were identified in melanoma patients. Among identified genetic alterations was an extremely rare variant (minor allele frequency of 0.00008) in the BRIP1 gene that was found to cosegregate with the melanoma phenotype. We also found a rare nonsense variant in the BRCA2 gene (rs11571833), previously associated with cancer susceptibility but not with melanoma, which showed weak association with melanoma susceptibility in the Swedish population. Our results add to the growing knowledge about genetic factors associated with melanoma susceptibility and also emphasize the role of DNA damage response as an important factor in melanoma etiology. © 2016 Wiley Periodicals, Inc., (© 2016 Wiley Periodicals, Inc.)
- Published
- 2016
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45. Aberrant splicing of genes involved in haemoglobin synthesis and impaired terminal erythroid maturation in SF3B1 mutated refractory anaemia with ring sideroblasts.
- Author
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Conte S, Katayama S, Vesterlund L, Karimi M, Dimitriou M, Jansson M, Mortera-Blanco T, Unneberg P, Papaemmanuil E, Sander B, Skoog T, Campbell P, Walfridsson J, Kere J, and Hellström-Lindberg E
- Subjects
- Aged, Aged, 80 and over, Anemia, Refractory blood, Anemia, Sideroblastic blood, Biological Transport genetics, Gene Expression Profiling, Genes, Tumor Suppressor, Genetic Heterogeneity, Humans, Iron metabolism, Phosphoproteins physiology, Protein Isoforms genetics, RNA Splicing Factors, RNA, Messenger genetics, Ribonucleoprotein, U2 Small Nuclear physiology, Sequence Analysis, RNA, Signal Transduction genetics, Anemia, Refractory genetics, Anemia, Sideroblastic genetics, Erythropoiesis genetics, Hemoglobins biosynthesis, Phosphoproteins genetics, RNA Splicing genetics, Ribonucleoprotein, U2 Small Nuclear genetics
- Abstract
Refractory anaemia with ring sideroblasts (RARS) is distinguished by hyperplastic inefficient erythropoiesis, aberrant mitochondrial ferritin accumulation and anaemia. Heterozygous mutations in the spliceosome gene SF3B1 are found in a majority of RARS cases. To explore the link between SF3B1 mutations and anaemia, we studied mutated RARS CD34(+) marrow cells with regard to transcriptome sequencing, splice patterns and mutational allele burden during erythroid differentiation. Transcriptome profiling during early erythroid differentiation revealed a marked up-regulation of genes involved in haemoglobin synthesis and in the oxidative phosphorylation process, and down-regulation of mitochondrial ABC transporters compared to normal bone marrow. Moreover, mis-splicing of genes involved in transcription regulation, particularly haemoglobin synthesis, was confirmed, indicating a compromised haemoglobinization during RARS erythropoiesis. In order to define the phase during which erythroid maturation of SF3B1 mutated cells is most affected, we assessed allele burden during erythroid differentiation in vitro and in vivo and found that SF3B1 mutated erythroblasts showed stable expansion until late erythroblast stage but that terminal maturation to reticulocytes was significantly reduced. In conclusion, SF3B1 mutated RARS progenitors display impaired splicing with potential downstream consequences for genes of key importance for haemoglobin synthesis and terminal erythroid differentiation., (© 2015 The Authors. British Journal of Haematology published by John Wiley & Sons Ltd.)
- Published
- 2015
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46. Differences in gene expression between mouse and human for dynamically regulated genes in early embryo.
- Author
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Madissoon E, Töhönen V, Vesterlund L, Katayama S, Unneberg P, Inzunza J, Hovatta O, and Kere J
- Subjects
- Animals, Antigens, Neoplasm genetics, Antigens, Neoplasm metabolism, Blastocyst metabolism, Cluster Analysis, Female, Humans, Male, Mice, Multigene Family, Embryo, Mammalian metabolism, Embryonic Development genetics, Gene Expression Profiling, Gene Expression Regulation, Developmental
- Abstract
Infertility is a worldwide concern that can be treated with in vitro fertilization (IVF). Improvements in IVF and infertility treatment depend largely on better understanding of the molecular mechanisms for human preimplantation development. Several large-scale studies have been conducted to identify gene expression patterns for the first five days of human development, and many functional studies utilize mouse as a model system. We have identified genes of possible importance for this time period by analyzing human microarray data and available data from online databases. We selected 70 candidate genes for human preimplantation development and investigated their expression in the early mouse development from oocyte to the 8-cell stage. Maternally loaded genes expectedly decreased in expression during development both in human and mouse. We discovered that 25 significantly upregulated genes after fertilization in human included 13 genes whose orthologs in mouse behaved differently and mimicked the expression profile of maternally expressed genes. Our findings highlight many significant differences in gene expression patterns during mouse and human preimplantation development. We also describe four cancer-testis antigen families that are also highly expressed in human embryos: PRAME, SSX, GAGE and MAGEA.
- Published
- 2014
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47. The zebrafish transcriptome during early development.
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Vesterlund L, Jiao H, Unneberg P, Hovatta O, and Kere J
- Subjects
- Animals, Sequence Analysis, RNA, Zebrafish Proteins analysis, Zebrafish Proteins genetics, Gene Expression Profiling, Gene Expression Regulation, Developmental, Zebrafish embryology, Zebrafish genetics
- Abstract
Background: The transition from fertilized egg to embryo is accompanied by a multitude of changes in gene expression, and the transcriptional events that underlie these processes have not yet been fully characterized. In this study RNA-Seq is used to compare the transcription profiles of four early developmental stages in zebrafish (Danio rerio) on a global scale., Results: An average of 79 M total reads were detected from the different stages. Out of the total number of reads 65% - 73% reads were successfully mapped and 36% - 44% out of those were uniquely mapped. The total number of detected unique gene transcripts was 11187, of which 10096 were present at 1-cell stage. The largest number of common transcripts was observed between 1-cell stage and 16-cell stage. An enrichment of gene transcripts with molecular functions of DNA binding, protein folding and processing as well as metal ion binding was observed with progression of development. The sequence data (accession number ERP000635) is available at the European Nucleotide Archive., Conclusion: Clustering of expression profiles shows that a majority of the detected gene transcripts are present at steady levels, and thus a minority of the gene transcripts clusters as increasing or decreasing in expression over the four investigated developmental stages. The three earliest developmental stages were similar when comparing highly expressed genes, whereas the 50% epiboly stage differed from the other three stages in the identity of highly expressed genes, number of uniquely expressed genes and enrichment of GO molecular functions. Taken together, these observations indicate a major transition in gene regulation and transcriptional activity taking place between the 512-cell and 50% epiboly stages, in accordance with previous studies.
- Published
- 2011
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48. Tentative mapping of transcription-induced interchromosomal interaction using chimeric EST and mRNA data.
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Unneberg P and Claverie JM
- Subjects
- Artifacts, Chromosomes, Human ultrastructure, Databases, Nucleic Acid, Exons genetics, Gene Library, Humans, Models, Genetic, RNA Splicing, Chromosome Mapping, Chromosomes, Human genetics, Epistasis, Genetic, Expressed Sequence Tags, Intranuclear Space ultrastructure, Mutant Chimeric Proteins genetics, RNA, Messenger genetics, Recombination, Genetic, Transcription, Genetic
- Abstract
Recent studies on chromosome conformation show that chromosomes colocalize in the nucleus, bringing together active genes in transcription factories. This spatial proximity of actively transcribing genes could provide a means for RNA interaction at the transcript level. We have screened public databases for chimeric EST and mRNA sequences with the intent of mapping transcription-induced interchromosomal interactions. We suggest that chimeric transcripts may be the result of close encounters of active genes, either as functional products or "noise" in the transcription process, and that they could be used as probes for chromosome interactions. We have found a total of 5,614 chimeric ESTs and 587 chimeric mRNAs that meet our selection criteria. Due to their higher quality, the mRNA findings are of particular interest and we hope that they may serve as food for thought for specialists in diverse areas of molecular biology.
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- 2007
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49. A Populus EST resource for plant functional genomics.
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Sterky F, Bhalerao RR, Unneberg P, Segerman B, Nilsson P, Brunner AM, Charbonnel-Campaa L, Lindvall JJ, Tandre K, Strauss SH, Sundberg B, Gustafsson P, Uhlén M, Bhalerao RP, Nilsson O, Sandberg G, Karlsson J, Lundeberg J, and Jansson S
- Subjects
- Ecosystem, Humans, Phylogeny, Species Specificity, Expressed Sequence Tags, Genome, Plant, Genomics methods, Plant Proteins genetics, Populus genetics
- Abstract
Trees present a life form of paramount importance for terrestrial ecosystems and human societies because of their ecological structure and physiological function and provision of energy and industrial materials. The genus Populus is the internationally accepted model for molecular tree biology. We have analyzed 102,019 Populus ESTs that clustered into 11,885 clusters and 12,759 singletons. We also provide >4,000 assembled full clone sequences to serve as a basis for the upcoming annotation of the Populus genome sequence. A public web-based EST database (POPULUSDB) provides digital expression profiles for 18 tissues that comprise the majority of differentiated organs. The coding content of Populus and Arabidopsis genomes shows very high similarity, indicating that differences between these annual and perennial angiosperm life forms result primarily from differences in gene regulation. The high similarity between Populus and Arabidopsis will allow studies of Populus to directly benefit from the detailed functional genomic information generated for Arabidopsis, enabling detailed insights into tree development and adaptation. These data will also valuable for functional genomic efforts in Arabidopsis.
- Published
- 2004
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50. Integrative annotation of 21,037 human genes validated by full-length cDNA clones.
- Author
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Imanishi T, Itoh T, Suzuki Y, O'Donovan C, Fukuchi S, Koyanagi KO, Barrero RA, Tamura T, Yamaguchi-Kabata Y, Tanino M, Yura K, Miyazaki S, Ikeo K, Homma K, Kasprzyk A, Nishikawa T, Hirakawa M, Thierry-Mieg J, Thierry-Mieg D, Ashurst J, Jia L, Nakao M, Thomas MA, Mulder N, Karavidopoulou Y, Jin L, Kim S, Yasuda T, Lenhard B, Eveno E, Suzuki Y, Yamasaki C, Takeda J, Gough C, Hilton P, Fujii Y, Sakai H, Tanaka S, Amid C, Bellgard M, Bonaldo Mde F, Bono H, Bromberg SK, Brookes AJ, Bruford E, Carninci P, Chelala C, Couillault C, de Souza SJ, Debily MA, Devignes MD, Dubchak I, Endo T, Estreicher A, Eyras E, Fukami-Kobayashi K, Gopinath GR, Graudens E, Hahn Y, Han M, Han ZG, Hanada K, Hanaoka H, Harada E, Hashimoto K, Hinz U, Hirai M, Hishiki T, Hopkinson I, Imbeaud S, Inoko H, Kanapin A, Kaneko Y, Kasukawa T, Kelso J, Kersey P, Kikuno R, Kimura K, Korn B, Kuryshev V, Makalowska I, Makino T, Mano S, Mariage-Samson R, Mashima J, Matsuda H, Mewes HW, Minoshima S, Nagai K, Nagasaki H, Nagata N, Nigam R, Ogasawara O, Ohara O, Ohtsubo M, Okada N, Okido T, Oota S, Ota M, Ota T, Otsuki T, Piatier-Tonneau D, Poustka A, Ren SX, Saitou N, Sakai K, Sakamoto S, Sakate R, Schupp I, Servant F, Sherry S, Shiba R, Shimizu N, Shimoyama M, Simpson AJ, Soares B, Steward C, Suwa M, Suzuki M, Takahashi A, Tamiya G, Tanaka H, Taylor T, Terwilliger JD, Unneberg P, Veeramachaneni V, Watanabe S, Wilming L, Yasuda N, Yoo HS, Stodolsky M, Makalowski W, Go M, Nakai K, Takagi T, Kanehisa M, Sakaki Y, Quackenbush J, Okazaki Y, Hayashizaki Y, Hide W, Chakraborty R, Nishikawa K, Sugawara H, Tateno Y, Chen Z, Oishi M, Tonellato P, Apweiler R, Okubo K, Wagner L, Wiemann S, Strausberg RL, Isogai T, Auffray C, Nomura N, Gojobori T, and Sugano S
- Subjects
- Alternative Splicing genetics, Genes genetics, Humans, Internet, Microsatellite Repeats genetics, Open Reading Frames genetics, Polymorphism, Genetic, Polymorphism, Single Nucleotide, Protein Structure, Tertiary, Computational Biology methods, DNA, Complementary genetics, Databases, Genetic, Genes physiology, Genome, Human
- Abstract
The human genome sequence defines our inherent biological potential; the realization of the biology encoded therein requires knowledge of the function of each gene. Currently, our knowledge in this area is still limited. Several lines of investigation have been used to elucidate the structure and function of the genes in the human genome. Even so, gene prediction remains a difficult task, as the varieties of transcripts of a gene may vary to a great extent. We thus performed an exhaustive integrative characterization of 41,118 full-length cDNAs that capture the gene transcripts as complete functional cassettes, providing an unequivocal report of structural and functional diversity at the gene level. Our international collaboration has validated 21,037 human gene candidates by analysis of high-quality full-length cDNA clones through curation using unified criteria. This led to the identification of 5,155 new gene candidates. It also manifested the most reliable way to control the quality of the cDNA clones. We have developed a human gene database, called the H-Invitational Database (H-InvDB; http://www.h-invitational.jp/). It provides the following: integrative annotation of human genes, description of gene structures, details of novel alternative splicing isoforms, non-protein-coding RNAs, functional domains, subcellular localizations, metabolic pathways, predictions of protein three-dimensional structure, mapping of known single nucleotide polymorphisms (SNPs), identification of polymorphic microsatellite repeats within human genes, and comparative results with mouse full-length cDNAs. The H-InvDB analysis has shown that up to 4% of the human genome sequence (National Center for Biotechnology Information build 34 assembly) may contain misassembled or missing regions. We found that 6.5% of the human gene candidates (1,377 loci) did not have a good protein-coding open reading frame, of which 296 loci are strong candidates for non-protein-coding RNA genes. In addition, among 72,027 uniquely mapped SNPs and insertions/deletions localized within human genes, 13,215 nonsynonymous SNPs, 315 nonsense SNPs, and 452 indels occurred in coding regions. Together with 25 polymorphic microsatellite repeats present in coding regions, they may alter protein structure, causing phenotypic effects or resulting in disease. The H-InvDB platform represents a substantial contribution to resources needed for the exploration of human biology and pathology., Competing Interests: The authors have declared that no conflicts of interest exist.
- Published
- 2004
- Full Text
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