https://www.nature.com/articles/s41586-022-04713-1
Published: 11 May 2022
Single-cell eQTL models reveal dynamic T cell state dependence of disease loci Aparna Nathan, Samira Asgari, Kazuyoshi Ishigaki, Cristian Valencia, Tiffany Amariuta, Yang Luo, Jessica I. Beynor, Yuriy Baglaenko, Sara Suliman, Alkes L. Price, Leonid Lecca, Megan B. Murray, D. Branch Moody & Soumya Raychaudhuri
Nature (2022)
Anatomical structures, cell types and biomarkers of the Human Reference Atlas https://www.nature.com/articles/s41556-021-00788-6.pdf
Host-Viral Infection Maps Reveal Signatures of Severe COVID-19 Patients
https://www.sciencedirect.com/science/article/pii/S0092867420305687
Accurate estimation of cell composition in bulk expression through robust integration of single-cell information
Brandon Jew, Marcus Alvarez, Elior Rahmani, Zong Miao, Arthur Ko, Jae Hoon Sul, Kirsi H. Pietiläinen, Päivi Pajukanta, Eran Halperin doi:
Published: 21 August 2019
Conserved cell types with divergent features in human versus mouse cortex
Rebecca D. Hodge, Trygve E. Bakken, Jeremy A. Miller, Kimberly A. Smith, Eliza R. Barkan, Lucas T. Graybuck, Jennie L. Close, Brian Long, Nelson Johansen, Osnat Penn, Zizhen Yao, Jeroen Eggermont, Thomas Höllt, Boaz P. Levi, Soraya I. Shehata, Brian Aevermann, Allison Beller, Darren Bertagnolli, Krissy Brouner, Tamara Casper, Charles Cobbs, Rachel Dalley, Nick Dee, Song-Lin Ding, Richard G. Ellenbogen, Olivia Fong, Emma Garren, Jeff Goldy, Ryder P. Gwinn, Daniel Hirschstein, C. Dirk Keene, Mohamed Keshk, Andrew L. Ko, Kanan Lathia, Ahmed Mahfouz, Zoe Maltzer, Medea McGraw, Thuc Nghi Nguyen, Julie Nyhus, Jeffrey G. Ojemann, Aaron Oldre, Sheana Parry, Shannon Reynolds, Christine Rimorin, Nadiya V. Shapovalova, Saroja
Somasundaram, Aaron Szafer, Elliot R. Thomsen, Michael Tieu, Gerald Quon, Richard H. Scheuermann, Rafael Yuste, Susan M. Sunkin, Boudewijn Lelieveldt, David Feng, Lydia Ng, Amy Bernard, Michael Hawrylycz, John W. Phillips, Bosiljka Tasic, Hongkui Zeng, Allan R. Jones, Christof Koch & Ed S. Lein
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Tabula Muris is a compendium of single cell transcriptome data from the model organism Mus musculus, containing nearly 100,000 cells from 20 organs and tissues. The data allow for direct and controlled comparison of gene expression in cell types shared between tissues, such as immune cells from distinct anatomical locations. They also allow for a comparison of two distinct technical approaches: “}}
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