Evidence map›Paper›PMID 34360875›Full record

ArticleInternational journal of molecular sciences2021

Keratin Profiling by Single-Cell RNA-Sequencing Identifies Human Prostate Stem Cell Lineage Hierarchy and Cancer Stem-Like Cells.

Wen-Yang Hu, Dan-Ping Hu, Lishi Xie, Larisa Nonn, Ranli Lu, Michael Abern, Toshihiro Shioda, Gail S Prins

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Prostate cancer stem cells and their targeted therapies.Frontiers in cell and developmental biology · 2024
    Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Wen-Yang HuDepartment of Urology, University of Illinois at Chicago, Chicago, IL 60612, USA.
Dan-Ping HuDepartment of Urology, University of Illinois at Chicago, Chicago, IL 60612, USA.
Lishi XieDepartment of Urology, University of Illinois at Chicago, Chicago, IL 60612, USA.ORCID 0000-0003-2376-6685
Larisa NonnDepartment of Pathology, University of Illinois at Chicago, Chicago, IL 60612, USA.
Ranli LuDepartment of Urology, University of Illinois at Chicago, Chicago, IL 60612, USA.
Michael AbernDepartment of Urology, University of Illinois at Chicago, Chicago, IL 60612, USA.
Toshihiro ShiodaMassachusetts General Hospital Center for Cancer Research and Harvard Medical School, Charlestown, MA 02129, USA.
Gail S PrinsDepartment of Urology, University of Illinois at Chicago, Chicago, IL 60612, USA.
University of Illinois Chicago · USHarvard University · US

Funding

Estrogen Receptors in Human Prostate Stem-Progenitor CellsR01CA172220 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI PRINS, GAIL S · 2013 to 2017
$1.7M
NCI NIH HHS RO1CA172220-01NIH HHS RO1ES022071U.S. Department of Defense PC180408
6 · The paper itself

Abstract

Single prostate stem cells can generate stem and progenitor cells to form prostaspheres in 3D culture. Using a prostasphere-based label retention assay, we recently identified keratin 13 (

Indexed as

Neoplastic Stem CellsProstatic NeoplasmsAdultCells, CulturedHumansKeratinsMalePrimary Cell CultureRNASingle-Cell AnalysisYoung AdultKeratinsRNAdifferentiationkeratinlineage hierarchyprostate cancerRNA-seqsingle cellstem cells

Identifiers

PMID34360875
PMCPMC8346986
OpenAlexW3184859163

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.