Accession PRJCA003927
Title An atlas of infiltrated B-lymphocytes in breast cancer revealed by paired single-cell RNA-sequencing and antigen receptor profiling
Relevance Medical
Data types Exome
Transcriptome or Gene expression
Organisms Homo sapiens
Description While it has been well recognized that T cell-mediated adaptive cellular immunity plays important roles in the cancer immune response and in tumor control, the roles of B lymphocytes in tumor development and therapy have only been proposed recently and are still mostly controversial. To gain mechanistic insights into the functions and developmental dynamics of tumor-infiltrated immune cells, especially B (TIL-B) lymphocytes, we combined single-cell RNA-sequencing (RNA-seq) and antigen receptor lineage analysis to characterize a large number of triple-negative breast cancer (TNBC)-infiltrated immune cells and presented a comprehensive atlas of infiltrated B lymphocytes in TNBC, the most aggressive breast cancer subtype.
Sample scope Single cell
Release date 2021-01-11
Publication
PubMed ID Article title Journal name DOI Year
33846305 Atlas of breast cancer infiltrated B-lymphocytes revealed by paired single-cell RNA-sequencing and antigen receptor profiling Nature Communications 10.1038/s41467-021-22300-2 2021
Data provider
Data provider Data provider URL
Xinxiang central hospital, Xinxiang, Henan http://xxyy.show.imosi.com
Biomaterial provider Xinxiang central hospital, Xinxiang, Henan
Grants
Agency program Grant ID Grant title
National Natural Science Foundation of China (NSFC) General Program 81572795
National Natural Science Foundation of China (NSFC) General Program 81773304
National Natural Science Foundation of China (NSFC) Young Scientists Fund 31701135
Beijing municipal government Hundred, Thousand and Ten Thousand Talent Project 2019A39
Health Commission of Henan Province 2018 Joint Construction Project of Henan Medical Science and Technology Tackling Plan NO
Submitter Yu    Zhang  (zhangyu@nibs.ac.cn)
Organization National Institute of Biological Sciences, Beijing
Submission date 2020-11-25

Project Data

Resource name Description
BioSample (38)  show -