Thomas Stoeger
Northwestern University
35 Papers
26 Citations
Thomas Stoeger is an academic researcher from Northwestern University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 11, co-authored 17 publications. Previous affiliations of Thomas Stoeger include Austrian Academy of Sciences & École Polytechnique Fédérale de Lausanne.
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Papers
Large-scale investigation of the reasons why potentially important genes are ignored
TL;DR: It is demonstrated that differences in attention to genes can be explained, to a large extent, exclusively from a small set of identifiable chemical, physical, and biological properties of genes.
The lung microenvironment shapes a dysfunctional response of alveolar macrophages in aging.
Alexandra C. McQuattie-Pimentel,Ziyou Ren,Nikita Joshi,Satoshi Watanabe,Thomas Stoeger,Monica Chi,Ziyan Lu,Lango Sichizya,Raul Piseaux Aillon,Ching I. Chen,Saul Soberanes,Zhangying Chen,Paul A. Reyfman,James M. Walter,Kishore R. Anekalla,Jennifer M. Davis,Kathryn A. Helmin,Constance E. Runyan,Hiam Abdala-Valencia,Kiwon Nam,Angelo Y. Meliton,Deborah R. Winter,Richard I. Morimoto,Gökhan M. Mutlu,Ankit Bharat,Harris Perlman,Cara J. Gottardi,Karen M. Ridge,Navdeep S. Chandel,Jacob I. Sznajder,William E. Balch,Benjamin D. Singer,Alexander V. Misharin,G. R. Scott Budinger +33 more
TL;DR: In this article, the authors performed an integrated analysis of single-cell RNA-Seq data that revealed homogenous age-related changes in the alveolar macrophage transcriptome in humans and mice.
Cell-intrinsic adaptation of lipid composition to local crowding drives social behaviour
Mathieu Frechin,Thomas Stoeger,Stephan Daetwyler,Charlotte Gehin,Nico Battich,Eva-Maria Damm,Lilli Stergiou,Howard Riezman,Lucas Pelkmans +8 more
TL;DR: A cell-intrinsic molecular mechanism that allows multicellular patterning without requiring specific communication between cells is revealed and suggests a fundamental role for a tunable membrane lipid composition in collective cell behaviour.
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Aging is associated with a systemic length-associated transcriptome imbalance
Thomas Stoeger,Rogan A. Grant,Alexandra C. McQuattie-Pimentel,Kishore R. Anekalla,Sophia S. Liu,Heliodoro Tejedor-Navarro,Benjamin D. Singer,Hiam Abdala-Valencia,Michael Schwake,Marie Pier Tetreault,Harris Perlman,William E. Balch,Navdeep S. Chandel,Karen M. Ridge,Jacob I. Sznajder,Richard I. Morimoto,Alexander V. Misharin,G. R. Scott Budinger,Luís A. Nunes Amaral +18 more
TL;DR: In this article , the authors show that transcript length alone explains most transcriptional changes observed with aging in mice and humans, and they present three lines of evidence supporting the biological importance of the uncovered transcriptome imbalance.
Computer vision for image-based transcriptomics.
TL;DR: The setup of the experimental pipeline for image-based transcriptomics is discussed, and the algorithms that were developed to extract, at high-throughput, robust multivariate feature sets of transcript molecule abundance, localization and patterning in tens of thousands of single cells across the transcriptome are described.
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