Back

In silico Computed Clusters of Prostate Luminal Progenitors Match FACS-Enriched LSCmed cells

PUIG LOMBARDI, E.; BAURES, M.; DARIANE, C.; GUIDOTTI, J.-E.; Goffin, V.

2021-06-17 bioinformatics
10.1101/2021.06.16.448624 bioRxiv
Show abstract

Several groups recently published single-cell (sc) expression atlases of the adult mouse prostate cells based on RNA sequencing (scRNA-seq) data. All studies identified one computerized cluster of non-secretory luminal progenitor cells enriched in luminal and stemness-related gene transcripts. The actual correspondence between these luminal progenitor cell clusters has not been investigated. In addition, the presence of Krt4 (encoding cytokeratin 4) in these in silico-identified luminal progenitors suggested the overlap with FACS-enriched LSCmed luminal progenitor cells earlier identified as a stem-like, castration-tolerant and tumor-initiating cell population. Here, we used a unified bioinformatics pipeline to re-analyze published prostate scRNA-seq datasets and perform various pan-transcriptomic comparisons including the LSCmed cell signature. Our study demonstrates that i) the mouse prostate luminal progenitor cell clusters identified in the different scRNA-seq studies largely overlap and can be defined by a common 15-gene signature including Krt4, ii) mouse LSCmed cells match both mouse and human luminal progenitors identified by scRNA-seq analysis. Bridging these in silico-identified and ex vivo-characterized prostate luminal progenitor subsets should benefit our understanding of their actual involvement in prostate diseases.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
The Prostate
11 papers in training set
Top 0.1%
29.3%
2
Scientific Reports
3102 papers in training set
Top 3%
13.1%
3
PLOS ONE
4510 papers in training set
Top 33%
4.6%
4
International Journal of Molecular Sciences
453 papers in training set
Top 2%
3.9%
50% of probability mass above
5
BMC Genomics
328 papers in training set
Top 0.7%
3.8%
6
Frontiers in Oncology
95 papers in training set
Top 1%
3.8%
7
Frontiers in Genetics
197 papers in training set
Top 3%
3.1%
8
Frontiers in Immunology
586 papers in training set
Top 3%
2.5%
9
iScience
1063 papers in training set
Top 13%
1.8%
10
Toxicological Sciences
38 papers in training set
Top 0.3%
1.4%
11
JCI Insight
241 papers in training set
Top 4%
1.4%
12
eLife
5422 papers in training set
Top 46%
1.4%
13
Cells
232 papers in training set
Top 3%
1.3%
14
Frontiers in Pharmacology
100 papers in training set
Top 3%
1.3%
15
Computational and Structural Biotechnology Journal
216 papers in training set
Top 6%
1.3%
16
Journal of Translational Medicine
46 papers in training set
Top 2%
0.9%
17
Genome Medicine
154 papers in training set
Top 7%
0.8%
18
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 8%
0.8%
19
Genomics
60 papers in training set
Top 2%
0.8%
20
Frontiers in Medicine
113 papers in training set
Top 8%
0.7%
21
Aging
69 papers in training set
Top 3%
0.7%
22
Gene
41 papers in training set
Top 3%
0.5%
23
Biology
43 papers in training set
Top 4%
0.5%
24
Nature Communications
4913 papers in training set
Top 66%
0.5%
25
Genes
126 papers in training set
Top 4%
0.5%
26
Genomics, Proteomics & Bioinformatics
171 papers in training set
Top 7%
0.5%
27
Biomedicines
66 papers in training set
Top 4%
0.5%