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4 results on '"Swerdlow, Harold P."'

1. Single-cell stabilization method identifies gonadotrope transcriptional dynamics and pituitary cell type heterogeneity

Author

Ruf-Zamojski, Frederique, Ge, Yongchao, Nair, Venugopalan, Zamojski, Michel, Pincas, Hanna, Toufaily, Chirine, Tome-Garcia, Jessica, Stoeckius, Marlon, Stephenson, William, Smith, Gregory R, Bernard, Daniel J, Tsankova, Nadejda M, Hartmann, Boris M, Fribourg, Miguel, Smibert, Peter, Swerdlow, Harold, Turgeon, Judith L, and Sealfon, Stuart C

Subjects
Biotechnology, Genetics, Contraception/Reproduction, Underpinning research, 1.1 Normal biological development and functioning, Animals, Buffers, Cell Line, Tumor, Dose-Response Relationship, Drug, Early Growth Response Protein 1, Early Growth Response Protein 2, Genes, Immediate-Early, Genetic Heterogeneity, Gonadotrophs, Gonadotropin-Releasing Hormone, Mice, Proto-Oncogene Proteins c-fos, RNA Stability, RNA, Messenger, Sequence Analysis, RNA, Single-Cell Analysis, Transcriptional Activation, Transcriptome, Environmental Sciences, Biological Sciences, Information and Computing Sciences, Developmental Biology
Abstract

Immediate-early response genes (IEGs) are rapidly and transiently induced following an extracellular signal. Elucidating the IEG response patterns in single cells (SCs) requires assaying large numbers of timed samples at high accuracy while minimizing handling effects. To achieve this, we developed and validated RNA stabilization Buffer for Examination of Single-cell Transcriptomes (RNA-Best), a versatile single-step cell and tissue preservation protocol that stabilizes RNA in intact SCs without perturbing transcription patterns. We characterize for the first time SC heterogeneity in IEG responses to pulsatile gonadotropin-releasing hormone (GnRH) stimuli in pituitary gonadotrope cells. Our study identifies a gene-specific hierarchical pattern of all-or-none transcript induction elicited by increasing concentrations of GnRH. This quantal pattern of gene activation raises the possibility that IEG activation, when accurately resolved at the SC level, may be mediated by gene bits that behave as pure binary switches.

Published
2018

2. Single-cell stabilization method identifies gonadotrope transcriptional dynamics and pituitary cell type heterogeneity.

Author

Ruf-Zamojski, Frederique, Ge, Yongchao, Nair, Venugopalan, Zamojski, Michel, Pincas, Hanna, Toufaily, Chirine, Tome-Garcia, Jessica, Stoeckius, Marlon, Stephenson, William, Smith, Gregory R, Bernard, Daniel J, Tsankova, Nadejda M, Hartmann, Boris M, Fribourg, Miguel, Smibert, Peter, Swerdlow, Harold, Turgeon, Judith L, and Sealfon, Stuart C

Subjects
Cell Line, Tumor, Animals, Mice, Proto-Oncogene Proteins c-fos, RNA, Messenger, Buffers, Sequence Analysis, RNA, RNA Stability, Dose-Response Relationship, Drug, Genetic Heterogeneity, Genes, Immediate-Early, Early Growth Response Protein 1, Early Growth Response Protein 2, Gonadotropin-Releasing Hormone, Gonadotrophs, Transcriptional Activation, Single-Cell Analysis, Transcriptome, Cell Line, Tumor, RNA, Messenger, Sequence Analysis, Dose-Response Relationship, Drug, Genes, Immediate-Early, Developmental Biology, Environmental Sciences, Biological Sciences, Information and Computing Sciences
Abstract

Immediate-early response genes (IEGs) are rapidly and transiently induced following an extracellular signal. Elucidating the IEG response patterns in single cells (SCs) requires assaying large numbers of timed samples at high accuracy while minimizing handling effects. To achieve this, we developed and validated RNA stabilization Buffer for Examination of Single-cell Transcriptomes (RNA-Best), a versatile single-step cell and tissue preservation protocol that stabilizes RNA in intact SCs without perturbing transcription patterns. We characterize for the first time SC heterogeneity in IEG responses to pulsatile gonadotropin-releasing hormone (GnRH) stimuli in pituitary gonadotrope cells. Our study identifies a gene-specific hierarchical pattern of all-or-none transcript induction elicited by increasing concentrations of GnRH. This quantal pattern of gene activation raises the possibility that IEG activation, when accurately resolved at the SC level, may be mediated by gene bits that behave as pure binary switches.

Published
2018

3. International network of cancer genome projects

Author

Hudson (Chairperson), Thomas J, Anderson, Warwick, Aretz, Axel, Barker, Anna D, Bell, Cindy, Bernabé, Rosa R, Bhan, MK, Calvo, Fabien, Eerola, Iiro, Gerhard, Daniela S, Guttmacher, Alan, Guyer, Mark, Hemsley, Fiona M, Jennings, Jennifer L, Kerr, David, Klatt, Peter, Kolar, Patrik, Kusuda, Jun, Lane, David P, Laplace, Frank, Lu, Youyong, Nettekoven, Gerd, Ozenberger, Brad, Peterson, Jane, Rao, TS, Remacle, Jacques, Schafer, Alan J, Shibata, Tatsuhiro, Stratton, Michael R, Vockley, Joseph G, Watanabe, Koichi, Yang, Huanming, Yuen, Matthew MF, Knoppers (Leader), Bartha M, Bobrow, Martin, Cambon-Thomsen, Anne, Dressler, Lynn G, Dyke, Stephanie OM, Joly, Yann, Kato, Kazuto, Kennedy, Karen L, Nicolás, Pilar, Parker, Michael J, Rial-Sebbag, Emmanuelle, Romeo-Casabona, Carlos M, Shaw, Kenna M, Wallace, Susan, Wiesner, Georgia L, Zeps, Nikolajs, Lichter (Leader), Peter, Biankin, Andrew V, Chabannon, Christian, Chin, Lynda, Clément, Bruno, de Alava, Enrique, Degos, Françoise, Ferguson, Martin L, Geary, Peter, Hayes, D Neil, Hudson, Thomas J, Johns, Amber L, Kasprzyk, Arek, Nakagawa, Hidewaki, Penny, Robert, Piris, Miguel A, Sarin, Rajiv, Scarpa, Aldo, van de Vijver, Marc, Futreal (Leader), P Andrew, Aburatani, Hiroyuki, Bayés, Mónica, Bowtell, David DL, Campbell, Peter J, Estivill, Xavier, Grimmond, Sean M, Gut, Ivo, Hirst, Martin, López-Otín, Carlos, Majumder, Partha, Marra, Marco, McPherson, John D, Ning, Zemin, Puente, Xose S, Ruan, Yijun, Stunnenberg, Hendrik G, Swerdlow, Harold, Velculescu, Victor E, Wilson, Richard K, Xue, Hong H, Yang, Liu, Spellman (Leader), Paul T, Bader, Gary D, Boutros, Paul C, and Flicek, Paul

Subjects
Cancer, Genetics, Human Genome, DNA Methylation, DNA Mutational Analysis, Databases, Genetic, Genes, Neoplasm, Genetics, Medical, Genome, Human, Genomics, Humans, Intellectual Property, International Cooperation, Mutation, Neoplasms, International Cancer Genome Consortium, General Science & Technology
Abstract

The International Cancer Genome Consortium (ICGC) was launched to coordinate large-scale cancer genome studies in tumours from 50 different cancer types and/or subtypes that are of clinical and societal importance across the globe. Systematic studies of more than 25,000 cancer genomes at the genomic, epigenomic and transcriptomic levels will reveal the repertoire of oncogenic mutations, uncover traces of the mutagenic influences, define clinically relevant subtypes for prognosis and therapeutic management, and enable the development of new cancer therapies.

Published
2010

4. International network of cancer genome projects.

Author

International Cancer Genome Consortium, Hudson, Thomas J, Anderson, Warwick, Artez, Axel, Barker, Anna D, Bell, Cindy, Bernabé, Rosa R, Bhan, MK, Calvo, Fabien, Eerola, Iiro, Gerhard, Daniela S, Guttmacher, Alan, Guyer, Mark, Hemsley, Fiona M, Jennings, Jennifer L, Kerr, David, Klatt, Peter, Kolar, Patrik, Kusada, Jun, Lane, David P, Laplace, Frank, Youyong, Lu, Nettekoven, Gerd, Ozenberger, Brad, Peterson, Jane, Rao, TS, Remacle, Jacques, Schafer, Alan J, Shibata, Tatsuhiro, Stratton, Michael R, Vockley, Joseph G, Watanabe, Koichi, Yang, Huanming, Yuen, Matthew MF, Knoppers, Bartha M, Bobrow, Martin, Cambon-Thomsen, Anne, Dressler, Lynn G, Dyke, Stephanie OM, Joly, Yann, Kato, Kazuto, Kennedy, Karen L, Nicolás, Pilar, Parker, Michael J, Rial-Sebbag, Emmanuelle, Romeo-Casabona, Carlos M, Shaw, Kenna M, Wallace, Susan, Wiesner, Georgia L, Zeps, Nikolajs, Lichter, Peter, Biankin, Andrew V, Chabannon, Christian, Chin, Lynda, Clément, Bruno, de Alava, Enrique, Degos, Françoise, Ferguson, Martin L, Geary, Peter, Hayes, D Neil, Johns, Amber L, Kasprzyk, Arek, Nakagawa, Hidewaki, Penny, Robert, Piris, Miguel A, Sarin, Rajiv, Scarpa, Aldo, van de Vijver, Marc, Futreal, P Andrew, Aburatani, Hiroyuki, Bayés, Mónica, Botwell, David DL, Campbell, Peter J, Estivill, Xavier, Grimmond, Sean M, Gut, Ivo, Hirst, Martin, López-Otín, Carlos, Majumder, Partha, Marra, Marco, McPherson, John D, Ning, Zemin, Puente, Xose S, Ruan, Yijun, Stunnenberg, Hendrik G, Swerdlow, Harold, Velculescu, Victor E, Wilson, Richard K, Xue, Hong H, Yang, Liu, Spellman, Paul T, Bader, Gary D, and Boutros, Paul C

Subjects
International Cancer Genome Consortium, Humans, Neoplasms, DNA Mutational Analysis, Genetics, Medical, Genomics, DNA Methylation, Mutation, Genome, Human, International Cooperation, Intellectual Property, Databases, Genetic, Genes, Neoplasm, Genetics, Medical, Genome, Human, Databases, Genetic, Genes, Neoplasm, General Science & Technology
Abstract

The International Cancer Genome Consortium (ICGC) was launched to coordinate large-scale cancer genome studies in tumours from 50 different cancer types and/or subtypes that are of clinical and societal importance across the globe. Systematic studies of more than 25,000 cancer genomes at the genomic, epigenomic and transcriptomic levels will reveal the repertoire of oncogenic mutations, uncover traces of the mutagenic influences, define clinically relevant subtypes for prognosis and therapeutic management, and enable the development of new cancer therapies.

Published
2010

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