| Literature DB >> 32648692 |
Winston Koh1,2, Angela Wu3, Lolita Penland1, Barbara Treutlein1, Norma F Neff1, Gary L Mantalas1, Yair J Blumenfeld4, Yasser Y El-Sayed4, David K Stevenson5, Gary M Shaw5, Stephen R Quake1.
Abstract
This work presents the workflow for generating single cell transcriptomes derived from primary human uterine and cervical tissue obtained during planned cesarean hysterectomies. In total, a catalogue of 310 single cell transcriptomes are obtained, cell types present in these biopsies are inferred, and specific genes defining each of the cellular types present in the tissue are identified. Further validation of the inferred cell identity is also demonstrated via meta-analysis of independent repositories in literature generated by bulk sequenced data of fluorescence-activated cell sorting sorted cells.Entities:
Keywords: pregnancy; single cell RNA-seq
Year: 2019 PMID: 32648692 DOI: 10.1002/adbi.201800336
Source DB: PubMed Journal: Adv Biosyst ISSN: 2366-7478