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2. Decadal increases in carbon uptake offset by respiratory losses across northern permafrost ecosystems

Author

See, Craig R, Virkkala, Anna-Maria, Natali, Susan M, Rogers, Brendan M, Mauritz, Marguerite, Biasi, Christina, Bokhorst, Stef, Boike, Julia, Bret-Harte, M Syndonia, Celis, Gerardo, Chae, Namyi, Christensen, Torben R, Murner (Connon), Sara June, Dengel, Sigrid, Dolman, Han, Edgar, Colin W, Elberling, Bo, Emmerton, Craig A, Euskirchen, Eugénie S, Göckede, Mathias, Grelle, Achim, Heffernan, Liam, Helbig, Manuel, Holl, David, Humphreys, Elyn, Iwata, Hiroki, Järveoja, Järvi, Kobayashi, Hideki, Kochendorfer, John, Kolari, Pasi, Kotani, Ayumi, Kutzbach, Lars, Kwon, Min Jung, Lathrop, Emma R, López-Blanco, Efrén, Mammarella, Ivan, Marushchak, Maija E, Mastepanov, Mikhail, Matsuura, Yojiro, Merbold, Lutz, Meyer, Gesa, Minions, Christina, Nilsson, Mats B, Nojeim, Julia, Oberbauer, Steven F, Olefeldt, David, Park, Sang-Jong, Parmentier, Frans-Jan W, Peichl, Matthias, Peter, Darcy, Petrov, Roman, Poyatos, Rafael, Prokushkin, Anatoly S, Quinton, William, Rodenhizer, Heidi, Sachs, Torsten, Savage, Kathleen, Schulze, Christopher, Sjögersten, Sofie, Sonnentag, Oliver, St. Louis, Vincent L, Torn, Margaret S, Tuittila, Eeva-Stiina, Ueyama, Masahito, Varlagin, Andrej, Voigt, Carolina, Watts, Jennifer D, Zona, Donatella, Zyryanov, Viacheslav I, and Schuur, Edward AG

Subjects
Agricultural, Veterinary and Food Sciences, Biological Sciences, Ecology, Forestry Sciences, Atmospheric Sciences, Physical Geography and Environmental Geoscience, Environmental Science and Management
Abstract

Tundra and boreal ecosystems encompass the northern circumpolar permafrost region and are experiencing rapid environmental change with important implications for the global carbon (C) budget. We analysed multi-decadal time series containing 302 annual estimates of carbon dioxide (CO2) flux across 70 permafrost and non-permafrost ecosystems, and 672 estimates of summer CO2 flux across 181 ecosystems. We find an increase in the annual CO2 sink across non-permafrost ecosystems but not permafrost ecosystems, despite similar increases in summer uptake. Thus, recent non-growing-season CO2 losses have substantially impacted the CO2 balance of permafrost ecosystems. Furthermore, analysis of interannual variability reveals warmer summers amplify the C cycle (increase productivity and respiration) at putatively nitrogen-limited sites and at sites less reliant on summer precipitation for water use. Our findings suggest that water and nutrient availability will be important predictors of the C-cycle response of these ecosystems to future warming.

Published
2024

4. A community effort to track commercial single-cell and spatial ’omic technologies and business trends

Author

De Jonghe, Joachim, Opzoomer, James W., Vilas-Zornoza, Amaia, Crane, Peter, Nilges, Benedikt S., Vicari, Marco, Lee, Hower, Lara-Astiaso, David, Gross, Torsten, Morf, Jörg, Schneider, Kim, Cudini, Juliana, Ramos-Mucci, Lorenzo, Mooijman, Dylan, Tiklová, Katarína, Salas, Sergio Marco, Langseth, Christoffer Mattsson, Kashikar, Nachiket D., Roberts, Charles E. S., Lundeberg, Joakim, Nilsson, Mats, Shalek, Alex K., Cribbs, Adam P., and Taylor-King, Jake P.

Published
2024
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9. Harmonised statistics and maps of forest biomass and increment in Europe

Author

Avitabile, Valerio, Pilli, Roberto, Migliavacca, Mirco, Duveiller, Gregory, Camia, Andrea, Blujdea, Viorel, Adolt, Radim, Alberdi, Iciar, Barreiro, Susana, Bender, Susann, Borota, Dragan, Bosela, Michal, Bouriaud, Olivier, Breidenbach, Johannes, Cañellas, Isabel, Čavlović, Jura, Colin, Antoine, Di Cosmo, Lucio, Donis, Janis, Fischer, Christoph, Freudenschuss, Alexandra, Fridman, Jonas, Gasparini, Patrizia, Gschwantner, Thomas, Hernández, Laura, Korhonen, Kari, Kulbokas, Gintaras, Kvist, Vivian, Latte, Nicolas, Lazdins, Andis, Lejeune, Philippe, Makovskis, Kristaps, Marin, Gheorghe, Maslo, Jan, Michorczyk, Artur, Mionskowski, Marcin, Morneau, François, Myszkowski, Marcin, Nagy, Kinga, Nilsson, Mats, Nord-Larsen, Thomas, Pantic, Damjan, Perin, Jerôme, Redmond, John, Rizzo, Maria, Šebeň, Vladimír, Skudnik, Mitja, Snorrason, Arnor, Sroga, Radosław, Stoyanov, Todor, Svensson, Arvid, Talarczyk, Andrzej, Teeuwen, Sander, Thürig, Esther, Uva, José, and Mubareka, Sarah

Published
2024
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13. Mapping forest attributes using data from stereophotogrammetry of aerial images and field data from the national forest inventory

Author

Bohlin, Jonas, Bohlin, Inka, Jonzén, Jonas, and Nilsson, Mats

Subjects
Forestry, SD1-669.5
Abstract

Exploring the possibility to produce nation-wide forest attribute maps using stereophotogrammetry of aerial images, the national terrain model and data from the National Forest Inventory (NFI). The study areas are four image acquisition blocks in mid- and south Sweden. Regression models were developed and applied to 12.5 m à 12.5 m raster cells for each block and validation was done with an independent dataset of forest stands. Model performance was compared for eight different forest types separately and the accuracies between forest types clearly differs for both image- and LiDAR methods, but between methods the difference in accuracy is small at plot level. At stand level, the root mean square error in percent of the mean (RMSE%) were ranging: from 7.7% to 10.5% for mean height; from 12.0% to 17.8% for mean diameter; from 21.8% to 22.8% for stem volume; and from 17.7% to 21.1% for basal area. This study clearly shows that aerial images from the national image program together with field sample plots from the NFI can be used for large area forest attribute mapping.

Published
2017
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14. Correction: On the Relationship Between Aquatic CO2 Concentration and Ecosystem Fluxes in Some of the World’s Key Wetland Types

Author

Richardson, Jessica L., Desai, Ankur R., Thom, Jonathan, Lindgren, Kim, Laudon, Hjalmar, Peichl, Matthias, Nilsson, Mats, Campeau, Audrey, Järveoja, Järvi, Hawman, Peter, Mishra, Deepak R., Smith, Dontrece, D’Acunha, Brenda, Knox, Sara H., Ng, Darian, Johnson, Mark S., Blackstock, Joshua, Malone, Sparkle L., Oberbauer, Steve F., Detto, Matteo, Wickland, Kimberly P., Forbrich, Inke, Weston, Nathaniel, Hung, Jacqueline K. Y., Edgar, Colin, Euskirchen, Eugenie S., Bret-Harte, Syndonia, Dobkowski, Jason, Kling, George, Kane, Evan S., Badiou, Pascal, Bogard, Matthew, Bohrer, Gil, O’Halloran, Thomas, Ritson, Jonny, Arias-Ortiz, Ariane, Baldocchi, Dennis, Oikawa, Patty, Shahan, Julie, and Matsumura, Maiyah

Published
2024
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16. Single nuclei profiling identifies cell specific markers of skeletal muscle aging, frailty, and senescence.

Author

Perez, Kevin, Ciotlos, Serban, McGirr, Julia, Limbad, Chandani, Doi, Ryosuke, Nederveen, Joshua, Nilsson, Mats, Winer, Daniel, Evans, William, Tarnopolsky, Mark, Campisi, Judith, and Melov, Simon

Subjects
aging, muscle, sarcopenia, senescence, transcriptomics, Aged, Humans, Sarcopenia, Frailty, Aging, Muscle, Skeletal, Inflammation, Frail Elderly
Abstract

Aging is accompanied by a loss of muscle mass and function, termed sarcopenia, which causes numerous morbidities and economic burdens in human populations. Mechanisms implicated in age-related sarcopenia or frailty include inflammation, muscle stem cell depletion, mitochondrial dysfunction, and loss of motor neurons, but whether there are key drivers of sarcopenia are not yet known. To gain deeper insights into age-related muscle loss, we performed transcriptome profiling on lower limb muscle biopsies from 72 young, elderly, and frail human subjects using bulk RNA-seq (N = 72) and single-nuclei RNA-seq (N = 17). This combined approach revealed changes in gene expression that occur with age and frailty in multiple cell types comprising mature skeletal muscle. Notably, we found increased expression of the genes MYH8 and PDK4, and decreased expression of the gene IGFN1, in aged muscle. We validated several key genes changes in fixed human muscle tissue using digital spatial profiling. We also identified a small population of nuclei that express CDKN1A, present only in aged samples, consistent with p21cip1-driven senescence in this subpopulation. Overall, our findings identify unique cellular subpopulations in aged and sarcopenic skeletal muscle, which will facilitate the development of new therapeutic strategies to combat age-related frailty.

Published
2022

17. Adapting National Forest Inventories to changing requirements – the case of the Swedish National Forest Inventory at the turn of the 20th century

Author

Fridman, Jonas, Holm, Sören, Nilsson, Mats, Nilsson, Per, Ringvall, Anna, and Ståhl, Göran

Subjects
Forestry, SD1-669.5
Abstract

National Forest Inventories (NFIs) are becoming increasingly important worldwide in order to provide information about the multiple functions of forests, e.g. their provision of raw materials to industry, biodiversity and their capacity to store carbon for mitigating climate change. In several countries the history of NFIs is very long. For these countries a specific challenge is to keep the inventories up-to-date without sacrificing the advantages associated with long time series. At the turn of the 20th century European NFIs faced some major challenges. In this article we describe the history and the recent developments of the Swedish NFI as an example from which general observations are made and discussed. The Swedish NFI started in 1923 and has evolved from an inventory with a narrow focus on wood resources to an inventory today which aims to provide information about all major forest ecosystem services. It can be concluded that the traditional approaches of most European NFIs, e.g. to collect data through sample plot field inventories, has proved to be applicable even for a wide range of new information requirements. Specifically, detailed data about land use, trees, vegetation, and soils has found new important uses in connection with biodiversity assessments and the estimation of greenhouse gas emissions. Though time-consuming and difficult, making NFI information comparable across countries through harmonization appears to be a useful approach. The European National Forest Inventory Network (ENFIN) was formed in 2003 and has been successful in pan-European NFI harmonization.

Published
2014
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18. Draft Metagenome Sequences of the Sphagnum (Peat Moss) Microbiome from Ambient and Warmed Environments across Europe

Author

Piatkowski, Bryan T, Carper, Dana L, Carrell, Alyssa A, Chen, I-Min A, Clum, Alicia, Daum, Chris, Eloe-Fadrosh, Emiley A, Gilbert, Daniel, Granath, Gustaf, Huntemann, Marcel, Jawdy, Sara S, Klarenberg, Ingeborg Jenneken, Kostka, Joel E, Kyrpides, Nikos C, Lawrence, Travis J, Mukherjee, Supratim, Nilsson, Mats B, Palaniappan, Krishnaveni, Pelletier, Dale A, Pennacchio, Christa, Reddy, TBK, Roux, Simon, Shaw, A Jonathan, Warshan, Denis, Živković, Tatjana, and Weston, David J

Abstract

We present 49 metagenome assemblies of the microbiome associated with Sphagnum (peat moss) collected from ambient, artificially warmed, and geothermally warmed conditions across Europe. These data will enable further research regarding the impact of climate change on plant-microbe symbiosis, ecology, and ecosystem functioning of northern peatland ecosystems.

Published
2022

19. Causality guided machine learning model on wetland CH4 emissions across global wetlands

Author

Yuan, Kunxiaojia, Zhu, Qing, Li, Fa, Riley, William J, Torn, Margaret, Chu, Housen, McNicol, Gavin, Chen, Min, Knox, Sara, Delwiche, Kyle, Wu, Huayi, Baldocchi, Dennis, Ma, Hongxu, Desai, Ankur R, Chen, Jiquan, Sachs, Torsten, Ueyama, Masahito, Sonnentag, Oliver, Helbig, Manuel, Tuittila, Eeva-Stiina, Jurasinski, Gerald, Koebsch, Franziska, Campbell, David, Schmid, Hans Peter, Lohila, Annalea, Goeckede, Mathias, Nilsson, Mats B, Friborg, Thomas, Jansen, Joachim, Zona, Donatella, Euskirchen, Eugenie, Ward, Eric J, Bohrer, Gil, Jin, Zhenong, Liu, Licheng, Iwata, Hiroki, Goodrich, Jordan, and Jackson, Robert

Subjects
Earth Sciences, Machine Learning and Artificial Intelligence, Climate Action, Eddy covariance CH4 emission, Wetlands, Causal inference, Machine learning, Biological Sciences, Agricultural and Veterinary Sciences, Meteorology & Atmospheric Sciences, Agricultural, veterinary and food sciences, Biological sciences, Earth sciences
Abstract

Wetland CH₄ emissions are among the most uncertain components of the global CH₄ budget. The complex nature of wetland CH₄ processes makes it challenging to identify causal relationships for improving our understanding and predictability of CH₄ emissions. In this study, we used the flux measurements of CH₄ from eddy covariance towers (30 sites from 4 wetlands types: bog, fen, marsh, and wet tundra) to construct a causality-constrained machine learning (ML) framework to explain the regulative factors and to capture CH₄ emissions at sub-seasonal scale. We found that soil temperature is the dominant factor for CH₄ emissions in all studied wetland types. Ecosystem respiration (CO₂) and gross primary productivity exert controls at bog, fen, and marsh sites with lagged responses of days to weeks. Integrating these asynchronous environmental and biological causal relationships in predictive models significantly improved model performance. More importantly, modeled CH₄ emissions differed by up to a factor of 4 under a +1°C warming scenario when causality constraints were considered. These results highlight the significant role of causality in modeling wetland CH₄ emissions especially under future warming conditions, while traditional data-driven ML models may reproduce observations for the wrong reasons. Our proposed causality-guided model could benefit predictive modeling, large-scale upscaling, data gap-filling, and surrogate modeling of wetland CH₄ emissions within earth system land models.

Published
2022

21. Soundscape descriptors in eighteen languages: Translation and validation through listening experiments

Author

Aletta, Francesco, Mitchell, Andrew, Oberman, Tin, Kang, Jian, Khelil, Sara, Bouzir, Tallal Abdel Karim, Berkouk, Djihed, Xie, Hui, Zhang, Yuan, Zhang, Ruining, Yang, Xinhao, Li, Min, Jambrošić, Kristian, Zaninović, Tamara, van den Bosch, Kirsten, Lühr, Tamara, Orlik, Nicolas, Fitzpatrick, Darragh, Sarampalis, Anastasios, Aumond, Pierre, Lavandier, Catherine, Moshona, Cleopatra Christina, Lepa, Steffen, Fiebig, André, Papadakis, Nikolaos M., Stavroulakis, Georgios E., Sudarsono, Anugrah Sabdono, Sarwono, Sugeng Joko, Puglisi, Giuseppina Emma, Jafari, Farid, Astolfi, Arianna, Shtrepi, Louena, Nagahata, Koji, Jo, Hyun In, Jeon, Jin Yong, Lam, Bhan, Chieng, Julia, Ooi, Kenneth, Hong, Joo Young, Monteiro Antunes, Sónia, Alves, Sonia, de Ulhoa Carvalho, Maria Luiza, Michalski, Ranny Loureiro Xavier Nascimento, Kogan, Pablo, Vida Manzano, Jerónimo, García Quesada, Rafael, Suárez Silva, Enrique, Almagro Pastor, José Antonio, Nilsson, Mats E., Axelsson, Östen, Gan, Woon-Seng, Watcharasupat, Karn N., Jaratjarungkiat, Sureenate, Ong, Zhen-Ting, Dökmeci Yörükoğlu, Papatya Nur, Erçakmak Osma, Uğur Beyza, and Nguyen, Thu Lan

Published
2024
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23. The Swedish Air Force at 75

Author

Nilsson, Mats, Gen

Subjects
AIR FORCE - Sweden, AIRCRAFT INDUSTRY AND TRADE - Sweden, ROLES AND MISSIONS - Air Force - Sweden
Abstract

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Published
2001

24. Improved large-area forest increment information in Europe through harmonisation of National Forest Inventories

Author

Gschwantner, Thomas, Riedel, Thomas, Henning, Lea, Adame, Patricia, Adolt, Radim, Aguirre, Ana, Alberdi, Iciar, Avitabile, Valerio, Cañellas, Isabel, Di Cosmo, Lucio, Fischer, Christoph, Freudenschuß, Alexandra, Gasparini, Patrizia, Henttonen, Helena M., Korhonen, Kari T., Kučera, Miloš, Marin, Gheorghe, Máslo, Jan, Mionskowski, Marcin, Morneau, François, Mubareka, Sarah, Neagu, Stefan, Nilsson, Mats, Pesty, Benoit, Schadauer, Klemens, Sroga, Radosław, Talarczyk, Andrzej, and Westerlund, Bertil

Published
2024
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25. On the Relationship Between Aquatic CO2 Concentration and Ecosystem Fluxes in Some of the World’s Key Wetland Types

Author

Richardson, Jessica L., Desai, Ankur R., Thom, Jonathan, Lindgren, Kim, Laudon, Hjalmar, Peichl, Matthias, Nilsson, Mats, Campeau, Audrey, Järveoja, Järvi, Hawman, Peter, Mishra, Deepak R., Smith, Dontrece, D’Acunha, Brenda, Knox, Sara H., Ng, Darian, Johnson, Mark S., Blackstock, Joshua, Malone, Sparkle L., Oberbauer, Steve F., Detto, Matteo, Wickland, Kimberly P., Forbrich, Inke, Weston, Nathaniel, Hung, Jacqueline K. Y., Edgar, Colin, Euskirchen, Eugenie S., Bret-Harte, Syndonia, Dobkowski, Jason, Kling, George, Kane, Evan S., Badiou, Pascal, Bogard, Matthew, Bohrer, Gil, O’Halloran, Thomas, Ritson, Jonny, Arias-Ortiz, Ariane, Baldocchi, Dennis, Oikawa, Patty, Shahan, Julie, and Matsumura, Maiyah

Published
2024
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31. The ABCflux database: Arctic–boreal CO2 flux observations and ancillary information aggregated to monthly time steps across terrestrial ecosystems

Author

Virkkala, Anna-Maria, Natali, Susan M, Rogers, Brendan M, Watts, Jennifer D, Savage, Kathleen, Connon, Sara June, Mauritz, Marguerite, Schuur, Edward AG, Peter, Darcy, Minions, Christina, Nojeim, Julia, Commane, Roisin, Emmerton, Craig A, Goeckede, Mathias, Helbig, Manuel, Holl, David, Iwata, Hiroki, Kobayashi, Hideki, Kolari, Pasi, López-Blanco, Efrén, Marushchak, Maija E, Mastepanov, Mikhail, Merbold, Lutz, Parmentier, Frans-Jan W, Peichl, Matthias, Sachs, Torsten, Sonnentag, Oliver, Ueyama, Masahito, Voigt, Carolina, Aurela, Mika, Boike, Julia, Celis, Gerardo, Chae, Namyi, Christensen, Torben R, Bret-Harte, M Syndonia, Dengel, Sigrid, Dolman, Han, Edgar, Colin W, Elberling, Bo, Euskirchen, Eugenie, Grelle, Achim, Hatakka, Juha, Humphreys, Elyn, Järveoja, Järvi, Kotani, Ayumi, Kutzbach, Lars, Laurila, Tuomas, Lohila, Annalea, Mammarella, Ivan, Matsuura, Yojiro, Meyer, Gesa, Nilsson, Mats B, Oberbauer, Steven F, Park, Sang-Jong, Petrov, Roman, Prokushkin, Anatoly S, Schulze, Christopher, St. Louis, Vincent L, Tuittila, Eeva-Stiina, Tuovinen, Juha-Pekka, Quinton, William, Varlagin, Andrej, Zona, Donatella, and Zyryanov, Viacheslav I

Subjects
Earth Sciences, Physical Geography and Environmental Geoscience, Atmospheric Sciences, Geoinformatics, Geochemistry, Atmospheric sciences, Physical geography and environmental geoscience
Abstract

Past efforts to synthesize and quantify the magnitude and change in carbon dioxide (CO2) fluxes in terrestrial ecosystems across the rapidly warming Arctic-boreal zone (ABZ) have provided valuable information but were limited in their geographical and temporal coverage. Furthermore, these efforts have been based on data aggregated over varying time periods, often with only minimal site ancillary data, thus limiting their potential to be used in large-scale carbon budget assessments. To bridge these gaps, we developed a standardized monthly database of Arctic-boreal CO2 fluxes (ABCflux) that aggregates in situ measurements of terrestrial net ecosystem CO2 exchange and its derived partitioned component fluxes: gross primary productivity and ecosystem respiration. The data span from 1989 to 2020 with over 70 supporting variables that describe key site conditions (e.g., vegetation and disturbance type), micrometeorological and environmental measurements (e.g., air and soil temperatures), and flux measurement techniques. Here, we describe these variables, the spatial and temporal distribution of observations, the main strengths and limitations of the database, and the potential research opportunities it enables. In total, ABCflux includes 244 sites and 6309 monthly observations; 136 sites and 2217 monthly observations represent tundra, and 108 sites and 4092 observations represent the boreal biome. The database includes fluxes estimated with chamber (19% of the monthly observations), snow diffusion (3%) and eddy covariance (78%) techniques. The largest number of observations were collected during the climatological summer (June-August; 32%), and fewer observations were available for autumn (September-October; 25%), winter (December-February; 18%), and spring (March-May; 25%). ABCflux can be used in a wide array of empirical, remote sensing and modeling studies to improve understanding of the regional and temporal variability in CO2 fluxes and to better estimate the terrestrial ABZ CO2 budget. ABCflux is openly and freely available online (Virkkala et al., 2021b, 10.3334/ORNLDAAC/1934). Copyright:

Published
2022

32. Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands

Author

Irvin, Jeremy, Zhou, Sharon, McNicol, Gavin, Lu, Fred, Liu, Vincent, Fluet-Chouinard, Etienne, Ouyang, Zutao, Knox, Sara Helen, Lucas-Moffat, Antje, Trotta, Carlo, Papale, Dario, Vitale, Domenico, Mammarella, Ivan, Alekseychik, Pavel, Aurela, Mika, Avati, Anand, Baldocchi, Dennis, Bansal, Sheel, Bohrer, Gil, Campbell, David I, Chen, Jiquan, Chu, Housen, Dalmagro, Higo J, Delwiche, Kyle B, Desai, Ankur R, Euskirchen, Eugenie, Feron, Sarah, Goeckede, Mathias, Heimann, Martin, Helbig, Manuel, Helfter, Carole, Hemes, Kyle S, Hirano, Takashi, Iwata, Hiroki, Jurasinski, Gerald, Kalhori, Aram, Kondrich, Andrew, Lai, Derrick YF, Lohila, Annalea, Malhotra, Avni, Merbold, Lutz, Mitra, Bhaskar, Ng, Andrew, Nilsson, Mats B, Noormets, Asko, Peichl, Matthias, Rey-Sanchez, A Camilo, Richardson, Andrew D, Runkle, Benjamin RK, Schäfer, Karina VR, Sonnentag, Oliver, Stuart-Haëntjens, Ellen, Sturtevant, Cove, Ueyama, Masahito, Valach, Alex C, Vargas, Rodrigo, Vourlitis, George L, Ward, Eric J, Wong, Guan Xhuan, Zona, Donatella, Alberto, Ma Carmelita R, Billesbach, David P, Celis, Gerardo, Dolman, Han, Friborg, Thomas, Fuchs, Kathrin, Gogo, Sébastien, Gondwe, Mangaliso J, Goodrich, Jordan P, Gottschalk, Pia, Hörtnagl, Lukas, Jacotot, Adrien, Koebsch, Franziska, Kasak, Kuno, Maier, Regine, Morin, Timothy H, Nemitz, Eiko, Oechel, Walter C, Oikawa, Patricia Y, Ono, Keisuke, Sachs, Torsten, Sakabe, Ayaka, Schuur, Edward A, Shortt, Robert, Sullivan, Ryan C, Szutu, Daphne J, Tuittila, Eeva-Stiina, Varlagin, Andrej, Verfaillie, Joeseph G, Wille, Christian, Windham-Myers, Lisamarie, Poulter, Benjamin, and Jackson, Robert B

Subjects
Earth Sciences, Agricultural, Veterinary and Food Sciences, Biological Sciences, Machine Learning and Artificial Intelligence, Bioengineering, Networking and Information Technology R&D (NITRD), Machine learning, time series, imputation, gap-filling, methane, flux, wetlands, Agricultural and Veterinary Sciences, Meteorology & Atmospheric Sciences, Agricultural, veterinary and food sciences, Biological sciences, Earth sciences
Abstract

Time series of wetland methane fluxes measured by eddy covariance require gap-filling to estimate daily, seasonal, and annual emissions. Gap-filling methane fluxes is challenging because of high variability and complex responses to multiple drivers. To date, there is no widely established gap-filling standard for wetland methane fluxes, with regards both to the best model algorithms and predictors. This study synthesizes results of different gap-filling methods systematically applied at 17 wetland sites spanning boreal to tropical regions and including all major wetland classes and two rice paddies. Procedures are proposed for: 1) creating realistic artificial gap scenarios, 2) training and evaluating gap-filling models without overstating performance, and 3) predicting half-hourly methane fluxes and annual emissions with realistic uncertainty estimates. Performance is compared between a conventional method (marginal distribution sampling) and four machine learning algorithms. The conventional method achieved similar median performance as the machine learning models but was worse than the best machine learning models and relatively insensitive to predictor choices. Of the machine learning models, decision tree algorithms performed the best in cross-validation experiments, even with a baseline predictor set, and artificial neural networks showed comparable performance when using all predictors. Soil temperature was frequently the most important predictor whilst water table depth was important at sites with substantial water table fluctuations, highlighting the value of data on wetland soil conditions. Raw gap-filling uncertainties from the machine learning models were underestimated and we propose a method to calibrate uncertainties to observations. The python code for model development, evaluation, and uncertainty estimation is publicly available. This study outlines a modular and robust machine learning workflow and makes recommendations for, and evaluates an improved baseline of, methane gap-filling models that can be implemented in multi-site syntheses or standardized products from regional and global flux networks (e.g., FLUXNET).

Published
2021

33. A roadmap for the Human Developmental Cell Atlas

Author

Haniffa, Muzlifah, Taylor, Deanne, Linnarsson, Sten, Aronow, Bruce J, Bader, Gary D, Barker, Roger A, Camara, Pablo G, Camp, J Gray, Chédotal, Alain, Copp, Andrew, Etchevers, Heather C, Giacobini, Paolo, Göttgens, Berthold, Guo, Guoji, Hupalowska, Ania, James, Kylie R, Kirby, Emily, Kriegstein, Arnold, Lundeberg, Joakim, Marioni, John C, Meyer, Kerstin B, Niakan, Kathy K, Nilsson, Mats, Olabi, Bayanne, Pe’er, Dana, Regev, Aviv, Rood, Jennifer, Rozenblatt-Rosen, Orit, Satija, Rahul, Teichmann, Sarah A, Treutlein, Barbara, Vento-Tormo, Roser, and Webb, Simone

Subjects
Medical Biotechnology, Biomedical and Clinical Sciences, Regenerative Medicine, Stem Cell Research - Nonembryonic - Human, Stem Cell Research, Pediatric, Stem Cell Research - Embryonic - Human, Human Fetal Tissue, Genetics, Human Genome, Good Health and Well Being, Adult, Animals, Atlases as Topic, Cell Culture Techniques, Cell Movement, Cell Survival, Cell Tracking, Cells, Data Visualization, Developmental Biology, Embryo, Mammalian, Female, Fetus, Humans, Imaging, Three-Dimensional, Information Dissemination, Male, Models, Animal, Organogenesis, Organoids, Stem Cells, Human Cell Atlas Developmental Biological Network, General Science & Technology
Abstract

The Human Developmental Cell Atlas (HDCA) initiative, which is part of the Human Cell Atlas, aims to create a comprehensive reference map of cells during development. This will be critical to understanding normal organogenesis, the effect of mutations, environmental factors and infectious agents on human development, congenital and childhood disorders, and the cellular basis of ageing, cancer and regenerative medicine. Here we outline the HDCA initiative and the challenges of mapping and modelling human development using state-of-the-art technologies to create a reference atlas across gestation. Similar to the Human Genome Project, the HDCA will integrate the output from a growing community of scientists who are mapping human development into a unified atlas. We describe the early milestones that have been achieved and the use of human stem-cell-derived cultures, organoids and animal models to inform the HDCA, especially for prenatal tissues that are hard to acquire. Finally, we provide a roadmap towards a complete atlas of human development.

Published
2021

35. Profiling spatiotemporal gene expression of the developing human spinal cord and implications for ependymoma origin

Author

Li, Xiaofei, Andrusivova, Zaneta, Czarnewski, Paulo, Langseth, Christoffer Mattsson, Andersson, Alma, Liu, Yang, Gyllborg, Daniel, Braun, Emelie, Larsson, Ludvig, Hu, Lijuan, Alekseenko, Zhanna, Lee, Hower, Avenel, Christophe, Kallner, Helena Kopp, Åkesson, Elisabet, Adameyko, Igor, Nilsson, Mats, Linnarsson, Sten, Lundeberg, Joakim, and Sundström, Erik

Published
2023
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36. Identifying dominant environmental predictors of freshwater wetland methane fluxes across diurnal to seasonal time scales

Author

Knox, Sara H, Bansal, Sheel, McNicol, Gavin, Schafer, Karina, Sturtevant, Cove, Ueyama, Masahito, Valach, Alex C, Baldocchi, Dennis, Delwiche, Kyle, Desai, Ankur R, Euskirchen, Eugenie, Liu, Jinxun, Lohila, Annalea, Malhotra, Avni, Melling, Lulie, Riley, William, Runkle, Benjamin RK, Turner, Jessica, Vargas, Rodrigo, Zhu, Qing, Alto, Tuula, Fluet‐Chouinard, Etienne, Goeckede, Mathias, Melton, Joe R, Sonnentag, Oliver, Vesala, Timo, Ward, Eric, Zhang, Zhen, Feron, Sarah, Ouyang, Zutao, Alekseychik, Pavel, Aurela, Mika, Bohrer, Gil, Campbell, David I, Chen, Jiquan, Chu, Housen, Dalmagro, Higo J, Goodrich, Jordan P, Gottschalk, Pia, Hirano, Takashi, Iwata, Hiroki, Jurasinski, Gerald, Kang, Minseok, Koebsch, Franziska, Mammarella, Ivan, Nilsson, Mats B, Ono, Keisuke, Peichl, Matthias, Peltola, Olli, Ryu, Youngryel, Sachs, Torsten, Sakabe, Ayaka, Sparks, Jed P, Tuittila, Eeva‐Stiina, Vourlitis, George L, Wong, Guan X, Windham‐Myers, Lisamarie, Poulter, Benjamin, and Jackson, Robert B

Subjects
Earth Sciences, Climate Change Impacts and Adaptation, Environmental Sciences, Carbon Dioxide, Ecosystem, Fresh Water, Methane, Seasons, Wetlands, eddy covariance, generalized additive modeling, lags, methane, mutual information, predictors, random forest, synthesis, time scales, wetlands, Biological Sciences, Ecology, Biological sciences, Earth sciences, Environmental sciences
Abstract

While wetlands are the largest natural source of methane (CH4 ) to the atmosphere, they represent a large source of uncertainty in the global CH4 budget due to the complex biogeochemical controls on CH4 dynamics. Here we present, to our knowledge, the first multi-site synthesis of how predictors of CH4 fluxes (FCH4) in freshwater wetlands vary across wetland types at diel, multiday (synoptic), and seasonal time scales. We used several statistical approaches (correlation analysis, generalized additive modeling, mutual information, and random forests) in a wavelet-based multi-resolution framework to assess the importance of environmental predictors, nonlinearities and lags on FCH4 across 23 eddy covariance sites. Seasonally, soil and air temperature were dominant predictors of FCH4 at sites with smaller seasonal variation in water table depth (WTD). In contrast, WTD was the dominant predictor for wetlands with smaller variations in temperature (e.g., seasonal tropical/subtropical wetlands). Changes in seasonal FCH4 lagged fluctuations in WTD by ~17 ± 11 days, and lagged air and soil temperature by median values of 8 ± 16 and 5 ± 15 days, respectively. Temperature and WTD were also dominant predictors at the multiday scale. Atmospheric pressure (PA) was another important multiday scale predictor for peat-dominated sites, with drops in PA coinciding with synchronous releases of CH4 . At the diel scale, synchronous relationships with latent heat flux and vapor pressure deficit suggest that physical processes controlling evaporation and boundary layer mixing exert similar controls on CH4 volatilization, and suggest the influence of pressurized ventilation in aerenchymatous vegetation. In addition, 1- to 4-h lagged relationships with ecosystem photosynthesis indicate recent carbon substrates, such as root exudates, may also control FCH4. By addressing issues of scale, asynchrony, and nonlinearity, this work improves understanding of the predictors and timing of wetland FCH4 that can inform future studies and models, and help constrain wetland CH4 emissions.

Published
2021

37. Detection and attribution of an anomaly in terrestrial photosynthesis in Europe during the COVID-19 lockdown

Author

Tang, Angela Che Ing, Flechard, Christophe R., Arriga, Nicola, Papale, Dario, Stoy, Paul C., Buchmann, Nina, Cuntz, Matthias, Douros, John, Fares, Silvano, Knohl, Alexander, Šigut, Ladislav, Simioni, Guillaume, Timmermans, Renske, Grünwald, Thomas, Ibrom, Andreas, Loubet, Benjamin, Mammarella, Ivan, Belelli Marchesini, Luca, Nilsson, Mats, Peichl, Matthias, Rebmann, Corinna, Schmidt, Marius, Bernhofer, Christian, Berveiller, Daniel, Cremonese, Edoardo, El-Madany, Tarek S., Gharun, Mana, Gianelle, Damiano, Hörtnagl, Lukas, Roland, Marilyn, Varlagin, Andrej, Fu, Zheng, Heinesch, Bernard, Janssens, Ivan, Kowalska, Natalia, Dušek, Jiří, Gerosa, Giacomo, Mölder, Meelis, Tuittila, Eeva-Stiina, and Loustau, Denis

Published
2023
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39. Substantial hysteresis in emergent temperature sensitivity of global wetland CH4 emissions.

Author

Chang, Kuang-Yu, Riley, William J, Knox, Sara H, Jackson, Robert B, McNicol, Gavin, Poulter, Benjamin, Aurela, Mika, Baldocchi, Dennis, Bansal, Sheel, Bohrer, Gil, Campbell, David I, Cescatti, Alessandro, Chu, Housen, Delwiche, Kyle B, Desai, Ankur R, Euskirchen, Eugenie, Friborg, Thomas, Goeckede, Mathias, Helbig, Manuel, Hemes, Kyle S, Hirano, Takashi, Iwata, Hiroki, Kang, Minseok, Keenan, Trevor, Krauss, Ken W, Lohila, Annalea, Mammarella, Ivan, Mitra, Bhaskar, Miyata, Akira, Nilsson, Mats B, Noormets, Asko, Oechel, Walter C, Papale, Dario, Peichl, Matthias, Reba, Michele L, Rinne, Janne, Runkle, Benjamin RK, Ryu, Youngryel, Sachs, Torsten, Schäfer, Karina VR, Schmid, Hans Peter, Shurpali, Narasinha, Sonnentag, Oliver, Tang, Angela CI, Torn, Margaret S, Trotta, Carlo, Tuittila, Eeva-Stiina, Ueyama, Masahito, Vargas, Rodrigo, Vesala, Timo, Windham-Myers, Lisamarie, Zhang, Zhen, and Zona, Donatella

Abstract

Wetland methane (CH4) emissions ([Formula: see text]) are important in global carbon budgets and climate change assessments. Currently, [Formula: see text] projections rely on prescribed static temperature sensitivity that varies among biogeochemical models. Meta-analyses have proposed a consistent [Formula: see text] temperature dependence across spatial scales for use in models; however, site-level studies demonstrate that [Formula: see text] are often controlled by factors beyond temperature. Here, we evaluate the relationship between [Formula: see text] and temperature using observations from the FLUXNET-CH4 database. Measurements collected across the globe show substantial seasonal hysteresis between [Formula: see text] and temperature, suggesting larger [Formula: see text] sensitivity to temperature later in the frost-free season (about 77% of site-years). Results derived from a machine-learning model and several regression models highlight the importance of representing the large spatial and temporal variability within site-years and ecosystem types. Mechanistic advancements in biogeochemical model parameterization and detailed measurements in factors modulating CH4 production are thus needed to improve global CH4 budget assessments.

Published
2021

43. FLUXNET-CH4: a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands

Author

Delwiche, Kyle B, Knox, Sara Helen, Malhotra, Avni, Fluet-Chouinard, Etienne, McNicol, Gavin, Feron, Sarah, Ouyang, Zutao, Papale, Dario, Trotta, Carlo, Canfora, Eleonora, Cheah, You-Wei, Christianson, Danielle, Alberto, Ma Carmelita R, Alekseychik, Pavel, Aurela, Mika, Baldocchi, Dennis, Bansal, Sheel, Billesbach, David P, Bohrer, Gil, Bracho, Rosvel, Buchmann, Nina, Campbell, David I, Celis, Gerardo, Chen, Jiquan, Chen, Weinan, Chu, Housen, Dalmagro, Higo J, Dengel, Sigrid, Desai, Ankur R, Detto, Matteo, Dolman, Han, Eichelmann, Elke, Euskirchen, Eugenie, Famulari, Daniela, Fuchs, Kathrin, Goeckede, Mathias, Gogo, Sébastien, Gondwe, Mangaliso J, Goodrich, Jordan P, Gottschalk, Pia, Graham, Scott L, Heimann, Martin, Helbig, Manuel, Helfter, Carole, Hemes, Kyle S, Hirano, Takashi, Hollinger, David, Hörtnagl, Lukas, Iwata, Hiroki, Jacotot, Adrien, Jurasinski, Gerald, Kang, Minseok, Kasak, Kuno, King, John, Klatt, Janina, Koebsch, Franziska, Krauss, Ken W, Lai, Derrick YF, Lohila, Annalea, Mammarella, Ivan, Marchesini, Luca Belelli, Manca, Giovanni, Matthes, Jaclyn Hatala, Maximov, Trofim, Merbold, Lutz, Mitra, Bhaskar, Morin, Timothy H, Nemitz, Eiko, Nilsson, Mats B, Niu, Shuli, Oechel, Walter C, Oikawa, Patricia Y, Ono, Keisuke, Peichl, Matthias, Peltola, Olli, Reba, Michele L, Richardson, Andrew D, Riley, William, Runkle, Benjamin RK, Ryu, Youngryel, Sachs, Torsten, Sakabe, Ayaka, Sanchez, Camilo Rey, Schuur, Edward A, Schäfer, Karina VR, Sonnentag, Oliver, Sparks, Jed P, Stuart-Haëntjens, Ellen, Sturtevant, Cove, Sullivan, Ryan C, Szutu, Daphne J, Thom, Jonathan E, Torn, Margaret S, Tuittila, Eeva-Stiina, Turner, Jessica, Ueyama, Masahito, Valach, Alex C, Vargas, Rodrigo, Varlagin, Andrej, and Vazquez-Lule, Alma

Subjects
Earth Sciences, Atmospheric Sciences, Climate Action, Geochemistry, Physical Geography and Environmental Geoscience, Atmospheric sciences, Geoinformatics, Physical geography and environmental geoscience
Abstract

Methane (CH4) emissions from natural landscapes constitute roughly half of global CH4 contributions to the atmosphere, yet large uncertainties remain in the absolute magnitude and the seasonality of emission quantities and drivers. Eddy covariance (EC) measurements of CH4 flux are ideal for constraining ecosystem-scale CH4 emissions due to quasi-continuous and high-temporal-resolution CH4 flux measurements, coincident carbon dioxide, water, and energy flux measurements, lack of ecosystem disturbance, and increased availability of datasets over the last decade. Here, we (1) describe the newly published dataset, FLUXNET-CH4 Version 1.0, the first open-source global dataset of CH4 EC measurements (available at https://fluxnet.org/data/fluxnet-ch4-community-product/, last access: 7 April 2021). FLUXNET-CH4 includes half-hourly and daily gap-filled and non-gap-filled aggregated CH4 fluxes and meteorological data from 79 sites globally: 42 freshwater wetlands, 6 brackish and saline wetlands, 7 formerly drained ecosystems, 7 rice paddy sites, 2 lakes, and 15 uplands. Then, we (2) evaluate FLUXNET-CH4 representativeness for freshwater wetland coverage globally because the majority of sites in FLUXNET-CH4 Version 1.0 are freshwater wetlands which are a substantial source of total atmospheric CH4 emissions; and (3) we provide the first global estimates of the seasonal variability and seasonality predictors of freshwater wetland CH4 fluxes. Our representativeness analysis suggests that the freshwater wetland sites in the dataset cover global wetland bioclimatic attributes (encompassing energy, moisture, and vegetation-related parameters) in arctic, boreal, and temperate regions but only sparsely cover humid tropical regions. Seasonality metrics of wetland CH4 emissions vary considerably across latitudinal bands. In freshwater wetlands (except those between 20g g€¯S to 20g g€¯N) the spring onset of elevated CH4 emissions starts 3g€¯d earlier, and the CH4 emission season lasts 4g€¯d longer, for each degree Celsius increase in mean annual air temperature. On average, the spring onset of increasing CH4 emissions lags behind soil warming by 1 month, with very few sites experiencing increased CH4 emissions prior to the onset of soil warming. In contrast, roughly half of these sites experience the spring onset of rising CH4 emissions prior to the spring increase in gross primary productivity (GPP). The timing of peak summer CH4 emissions does not correlate with the timing for either peak summer temperature or peak GPP. Our results provide seasonality parameters for CH4 modeling and highlight seasonality metrics that cannot be predicted by temperature or GPP (i.e., seasonality of CH4 peak). FLUXNET-CH4 is a powerful new resource for diagnosing and understanding the role of terrestrial ecosystems and climate drivers in the global CH4 cycle, and future additions of sites in tropical ecosystems and site years of data collection will provide added value to this database. All seasonality parameters are available at 10.5281/zenodo.4672601 (Delwiche et al., 2021). Additionally, raw FLUXNET-CH4 data used to extract seasonality parameters can be downloaded from https://fluxnet.org/data/fluxnet-ch4-community-product/ (last access: 7 April 2021), and a complete list of the 79 individual site data DOIs is provided in Table 2 of this paper.

Published
2021

44. A topographic atlas defines developmental origins of cell heterogeneity in the human embryonic lung

Author

Sountoulidis, Alexandros, Marco Salas, Sergio, Braun, Emelie, Avenel, Christophe, Bergenstråhle, Joseph, Theelke, Jonas, Vicari, Marco, Czarnewski, Paulo, Liontos, Andreas, Abalo, Xesus, Andrusivová, Žaneta, Mirzazadeh, Reza, Asp, Michaela, Li, Xiaofei, Hu, Lijuan, Sariyar, Sanem, Martinez Casals, Anna, Ayoglu, Burcu, Firsova, Alexandra, Michaëlsson, Jakob, Lundberg, Emma, Wählby, Carolina, Sundström, Erik, Linnarsson, Sten, Lundeberg, Joakim, Nilsson, Mats, and Samakovlis, Christos

Published
2023
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46. COSORE: A community database for continuous soil respiration and other soil‐atmosphere greenhouse gas flux data

Author

Bond‐Lamberty, Ben, Christianson, Danielle S, Malhotra, Avni, Pennington, Stephanie C, Sihi, Debjani, AghaKouchak, Amir, Anjileli, Hassan, Arain, M Altaf, Armesto, Juan J, Ashraf, Samaneh, Ataka, Mioko, Baldocchi, Dennis, Black, Thomas Andrew, Buchmann, Nina, Carbone, Mariah S, Chang, Shih‐Chieh, Crill, Patrick, Curtis, Peter S, Davidson, Eric A, Desai, Ankur R, Drake, John E, El‐Madany, Tarek S, Gavazzi, Michael, Görres, Carolyn‐Monika, Gough, Christopher M, Goulden, Michael, Gregg, Jillian, del Arroyo, Omar Gutiérrez, He, Jin‐Sheng, Hirano, Takashi, Hopple, Anya, Hughes, Holly, Järveoja, Järvi, Jassal, Rachhpal, Jian, Jinshi, Kan, Haiming, Kaye, Jason, Kominami, Yuji, Liang, Naishen, Lipson, David, Macdonald, Catriona A, Maseyk, Kadmiel, Mathes, Kayla, Mauritz, Marguerite, Mayes, Melanie A, McNulty, Steve, Miao, Guofang, Migliavacca, Mirco, Miller, Scott, Miniat, Chelcy F, Nietz, Jennifer G, Nilsson, Mats B, Noormets, Asko, Norouzi, Hamidreza, O’Connell, Christine S, Osborne, Bruce, Oyonarte, Cecilio, Pang, Zhuo, Peichl, Matthias, Pendall, Elise, Perez‐Quezada, Jorge F, Phillips, Claire L, Phillips, Richard P, Raich, James W, Renchon, Alexandre A, Ruehr, Nadine K, Sánchez‐Cañete, Enrique P, Saunders, Matthew, Savage, Kathleen E, Schrumpf, Marion, Scott, Russell L, Seibt, Ulli, Silver, Whendee L, Sun, Wu, Szutu, Daphne, Takagi, Kentaro, Takagi, Masahiro, Teramoto, Munemasa, Tjoelker, Mark G, Trumbore, Susan, Ueyama, Masahito, Vargas, Rodrigo, Varner, Ruth K, Verfaillie, Joseph, Vogel, Christoph, Wang, Jinsong, Winston, Greg, Wood, Tana E, Wu, Juying, Wutzler, Thomas, Zeng, Jiye, Zha, Tianshan, Zhang, Quan, and Zou, Junliang

Subjects
Climate Change Impacts and Adaptation, Environmental Sciences, Climate Action, Atmosphere, Carbon Dioxide, Ecosystem, Greenhouse Gases, Methane, Nitrous Oxide, Reproducibility of Results, Respiration, Soil, carbon dioxide, greenhouse gases, methane, open data, open science, soil respiration, Biological Sciences, Ecology, Biological sciences, Earth sciences, Environmental sciences
Abstract

Globally, soils store two to three times as much carbon as currently resides in the atmosphere, and it is critical to understand how soil greenhouse gas (GHG) emissions and uptake will respond to ongoing climate change. In particular, the soil-to-atmosphere CO2 flux, commonly though imprecisely termed soil respiration (RS ), is one of the largest carbon fluxes in the Earth system. An increasing number of high-frequency RS measurements (typically, from an automated system with hourly sampling) have been made over the last two decades; an increasing number of methane measurements are being made with such systems as well. Such high frequency data are an invaluable resource for understanding GHG fluxes, but lack a central database or repository. Here we describe the lightweight, open-source COSORE (COntinuous SOil REspiration) database and software, that focuses on automated, continuous and long-term GHG flux datasets, and is intended to serve as a community resource for earth sciences, climate change syntheses and model evaluation. Contributed datasets are mapped to a single, consistent standard, with metadata on contributors, geographic location, measurement conditions and ancillary data. The design emphasizes the importance of reproducibility, scientific transparency and open access to data. While being oriented towards continuously measured RS , the database design accommodates other soil-atmosphere measurements (e.g. ecosystem respiration, chamber-measured net ecosystem exchange, methane fluxes) as well as experimental treatments (heterotrophic only, etc.). We give brief examples of the types of analyses possible using this new community resource and describe its accompanying R software package.

Published
2020

47. The landscape of tumor cell states and spatial organization in H3-K27M mutant diffuse midline glioma across age and location

Author

Liu, Ilon, Jiang, Li, Samuelsson, Erik R., Marco Salas, Sergio, Beck, Alexander, Hack, Olivia A., Jeong, Daeun, Shaw, McKenzie L., Englinger, Bernhard, LaBelle, Jenna, Mire, Hafsa M., Madlener, Sibylle, Mayr, Lisa, Quezada, Michael A., Trissal, Maria, Panditharatna, Eshini, Ernst, Kati J., Vogelzang, Jayne, Gatesman, Taylor A., Halbert, Matthew E., Palova, Hana, Pokorna, Petra, Sterba, Jaroslav, Slaby, Ondrej, Geyeregger, Rene, Diaz, Aaron, Findlay, Izac J., Dun, Matthew D., Resnick, Adam, Suvà, Mario L., Jones, David T. W., Agnihotri, Sameer, Svedlund, Jessica, Koschmann, Carl, Haberler, Christine, Czech, Thomas, Slavc, Irene, Cotter, Jennifer A., Ligon, Keith L., Alexandrescu, Sanda, Yung, W. K. Alfred, Arrillaga-Romany, Isabel, Gojo, Johannes, Monje, Michelle, Nilsson, Mats, and Filbin, Mariella G.

Published
2022
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49. Spatial genomics maps the structure, nature and evolution of cancer clones

Author

Lomakin, Artem, Svedlund, Jessica, Strell, Carina, Gataric, Milana, Shmatko, Artem, Rukhovich, Gleb, Park, Jun Sung, Ju, Young Seok, Dentro, Stefan, Kleshchevnikov, Vitalii, Vaskivskyi, Vasyl, Li, Tong, Bayraktar, Omer Ali, Pinder, Sarah, Richardson, Andrea L., Santagata, Sandro, Campbell, Peter J., Russnes, Hege, Gerstung, Moritz, Nilsson, Mats, and Yates, Lucy R.

Published
2022
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