Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Chenling Xu"'
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
Macrophages are the main target cells for Mycobacterium tuberculosis (Mtb) infection. Previous studies have shown that Mtb actively upregulates phosphorus transport proteins, such as Rv0928 protein (also known as PstS3), to increase inorganic phospha
Externí odkaz:
https://doaj.org/article/5139a2c7969b4b698bca26fa603a66a1
Publikováno v:
Molecular Systems Biology, Vol 17, Iss 1, Pp 1-21 (2021)
Abstract As the number of single‐cell transcriptomics datasets grows, the natural next step is to integrate the accumulating data to achieve a common ontology of cell types and states. However, it is not straightforward to compare gene expression l
Externí odkaz:
https://doaj.org/article/8f0d16e02fe044a6b614bfa6c694f3b4
Autor:
Matthew G Jones, Alex Khodaverdian, Jeffrey J Quinn, Michelle M Chan, Jeffrey A Hussmann, Robert Wang, Chenling Xu, Jonathan S Weissman, Nir Yosef
Publikováno v:
Genome Biology, Vol 21, Iss 1, Pp 1-27 (2020)
Abstract The pairing of CRISPR/Cas9-based gene editing with massively parallel single-cell readouts now enables large-scale lineage tracing. However, the rapid growth in complexity of data from these assays has outpaced our ability to accurately infe
Externí odkaz:
https://doaj.org/article/3a8f548f7505481089047c053016429e
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-16 (2019)
Simulated single cell RNA sequencing data is useful for method development and comparison. Here, the authors developed SymSim, a simulator that explicitly models the main factors of variation in single cell data.
Externí odkaz:
https://doaj.org/article/0c024b34635d400b80a0b8fd1ba5c64c
Autor:
Andras Heczey, Xin Xu, Amy N. Courtney, Gengwen Tian, Gabriel A. Barragan, Linjie Guo, Claudia Martinez Amador, Nisha Ghatwai, Purva Rathi, Michael S. Wood, Yanchuan Li, Chunchao Zhang, Thorsten Demberg, Erica J. Di Pierro, Andrew C. Sher, Huimin Zhang, Birju Mehta, Sachin G. Thakkar, Bambi Grilley, Tao Wang, Brian D. Weiss, Antonino Montalbano, Meena Subramaniam, Chenling Xu, Chirag Sachar, Daniel K. Wells, Gianpietro Dotti, Leonid S. Metelitsa
Publikováno v:
Nature Medicine.
Autor:
Adam Gayoso, Romain Lopez, Galen Xing, Pierre Boyeau, Valeh Valiollah Pour Amiri, Justin Hong, Katherine Wu, Michael Jayasuriya, Edouard Mehlman, Maxime Langevin, Yining Liu, Jules Samaran, Gabriel Misrachi, Achille Nazaret, Oscar Clivio, Chenling Xu, Tal Ashuach, Mariano Gabitto, Mohammad Lotfollahi, Valentine Svensson, Eduardo da Veiga Beltrame, Vitalii Kleshchevnikov, Carlos Talavera-López, Lior Pachter, Fabian J. Theis, Aaron Streets, Michael I. Jordan, Jeffrey Regier, Nir Yosef
Publikováno v:
Nature Biotechnology. 40:163-166
Methods for analyzing single-cell data perform a core set of computational tasks. These tasks include dimensionality reduction, cell clustering, cell-state annotation, removal of unwanted variation, analysis of differential expression, identification
Autor:
Robert C, Jones, Jim, Karkanias, Mark A, Krasnow, Angela Oliveira, Pisco, Stephen R, Quake, Julia, Salzman, Nir, Yosef, Bryan, Bulthaup, Phillip, Brown, William, Harper, Marisa, Hemenez, Ravikumar, Ponnusamy, Ahmad, Salehi, Bhavani A, Sanagavarapu, Eileen, Spallino, Ksenia A, Aaron, Waldo, Concepcion, James M, Gardner, Burnett, Kelly, Nikole, Neidlinger, Zifa, Wang, Sheela, Crasta, Saroja, Kolluru, Maurizio, Morri, Serena Y, Tan, Kyle J, Travaglini, Chenling, Xu, Marcela, Alcántara-Hernández, Nicole, Almanzar, Jane, Antony, Benjamin, Beyersdorf, Deviana, Burhan, Kruti, Calcuttawala, Matthew M, Carter, Charles K F, Chan, Charles A, Chang, Stephen, Chang, Alex, Colville, Rebecca N, Culver, Ivana, Cvijović, Gaetano, D'Amato, Camille, Ezran, Francisco X, Galdos, Astrid, Gillich, William R, Goodyer, Yan, Hang, Alyssa, Hayashi, Sahar, Houshdaran, Xianxi, Huang, Juan C, Irwin, SoRi, Jang, Julia Vallve, Juanico, Aaron M, Kershner, Soochi, Kim, Bernhard, Kiss, William, Kong, Maya E, Kumar, Angera H, Kuo, Rebecca, Leylek, Baoxiang, Li, Gabriel B, Loeb, Wan-Jin, Lu, Sruthi, Mantri, Maxim, Markovic, Patrick L, McAlpine, Antoine, de Morree, Karim, Mrouj, Shravani, Mukherjee, Tyler, Muser, Patrick, Neuhöfer, Thi D, Nguyen, Kimberly, Perez, Ragini, Phansalkar, Nazan, Puluca, Zhen, Qi, Poorvi, Rao, Hayley, Raquer-McKay, Nicholas, Schaum, Bronwyn, Scott, Bobak, Seddighzadeh, Joe, Segal, Sushmita, Sen, Shaheen, Sikandar, Sean P, Spencer, Lea C, Steffes, Varun R, Subramaniam, Aditi, Swarup, Michael, Swift, Will, Van Treuren, Emily, Trimm, Stefan, Veizades, Sivakamasundari, Vijayakumar, Kim Chi, Vo, Sevahn K, Vorperian, Wanxin, Wang, Hannah N W, Weinstein, Juliane, Winkler, Timothy T H, Wu, Jamie, Xie, Andrea R, Yung, Yue, Zhang, Angela M, Detweiler, Honey, Mekonen, Norma F, Neff, Rene V, Sit, Michelle, Tan, Jia, Yan, Gregory R, Bean, Vivek, Charu, Erna, Forgó, Brock A, Martin, Michael G, Ozawa, Oscar, Silva, Angus, Toland, Venkata N P, Vemuri, Shaked, Afik, Kyle, Awayan, Olga Borisovna, Botvinnik, Ashley, Byrne, Michelle, Chen, Roozbeh, Dehghannasiri, Adam, Gayoso, Alejandro A, Granados, Qiqing, Li, Gita, Mahmoudabadi, Aaron, McGeever, Julia Eve, Olivieri, Madeline, Park, Neha, Ravikumar, Geoff, Stanley, Weilun, Tan, Alexander J, Tarashansky, Rohan, Vanheusden, Peter, Wang, Sheng, Wang, Galen, Xing, Rebecca, Culver, Les, Dethlefsen, Po-Yi, Ho, Shixuan, Liu, Jonathan S, Maltzman, Ross J, Metzger, Koki, Sasagawa, Rahul, Sinha, Hanbing, Song, Bruce, Wang, Steven E, Artandi, Philip A, Beachy, Michael F, Clarke, Linda C, Giudice, Franklin W, Huang, Kerwyn Casey, Huang, Juliana, Idoyaga, Seung K, Kim, Mark, Krasnow, Christin S, Kuo, Patricia, Nguyen, Thomas A, Rando, Kristy, Red-Horse, Jeremy, Reiter, David A, Relman, Justin L, Sonnenburg, Albert, Wu, Sean M, Wu, Tony, Wyss-Coray
Publikováno v:
Science
Tabula Sapiens Consortium* 2022, ' The Tabula Sapiens : A multiple-organ, single-cell transcriptomic atlas of humans ', Science (New York, N.Y.), vol. 376, no. 6594, pp. eabl4896 . https://doi.org/10.1126/science.abl4896
Tabula Sapiens Consortium* 2022, ' The Tabula Sapiens : A multiple-organ, single-cell transcriptomic atlas of humans ', Science (New York, N.Y.), vol. 376, no. 6594, pp. eabl4896 . https://doi.org/10.1126/science.abl4896
INTRODUCTION: Although the genome is often called the blueprint of an organism, it is perhaps more accurate to describe it as a parts list composed of the various genes that may or may not be used in the different cell types of a multicellular organi
Autor:
Robyn M. Jong, Erik Van Dis, Samuel B. Berry, Xammy Nguyenla, Alexander Baltodano, Gabrielle Pastenkos, Chenling Xu, Douglas Fox, Nir Yosef, Sarah M. McWhirter, Sarah A. Stanley
Publikováno v:
J Immunol
Journal of immunology (Baltimore, Md. : 1950), vol 208, iss 2
Journal of immunology (Baltimore, Md. : 1950), vol 208, iss 2
Tuberculosis consistently causes more deaths worldwide annually than any other single pathogen, making new effective vaccines an urgent priority for global public health. Among potential adjuvants, STING-activating cyclic dinucleotides (CDNs) uniquel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d97a201b400e97f3c624e169a2fbc658
https://europepmc.org/articles/PMC8755605/
https://europepmc.org/articles/PMC8755605/
Autor:
Schumer, Molly1,2,3,4 (AUTHOR) schumer@fas.harvard.edu, Chenling Xu5 (AUTHOR), Powell, Daniel L.4,6 (AUTHOR), Durvasula, Arun7 (AUTHOR), Skov, Laurits8 (AUTHOR), Holland, Chris4,6 (AUTHOR), Blazier, John C.6,9 (AUTHOR), Sankararaman, Sriram7,10 (AUTHOR), Andolfatto, Peter11 (AUTHOR), Rosenthal, Gil G.4,6 (AUTHOR), Przeworski, Molly3,12 (AUTHOR) mp3284@columbia.edu
Publikováno v:
Science. 5/11/2018, Vol. 360 Issue 6389, p656-660. 5p. 1 Diagram, 3 Graphs.
Publikováno v:
Molecular Systems Biology, Vol 17, Iss 1, Pp n/a-n/a (2021)
Molecular Systems Biology
Molecular Systems Biology
As the number of single‐cell transcriptomics datasets grows, the natural next step is to integrate the accumulating data to achieve a common ontology of cell types and states. However, it is not straightforward to compare gene expression levels acr