Evidence map›Paper›PMID 33521174›Full record

ArticleData in brief2021

Single cell RNA-sequencing data generated from human pluripotent stem cell-derived lens epithelial cells.

Rachel Shparberg, Chitra Umala Dewi, Vikkitharan Gnanasambandapillai, Liwan Liyanage, Michael D O'Connor

Abstract read
In one paragraph

Article in Data in brief, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
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

5 authors.

Rachel ShparbergSchool of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia.
Chitra Umala DewiSchool of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia.
Vikkitharan GnanasambandapillaiGarvan-Weizmann Centre for Cellular Genomics, Garvan Institute, UNSW Cellular Genomics Futures Institute, University of New South Wales, Sydney 2010, Australia.
Liwan LiyanageSchool of Computer, Data and Mathematical Sciences, Western Sydney University, Campbelltown, NSW 2560, Australia.
Michael D O'ConnorSchool of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detailed transcriptomic analyses of differentiated cell populations derived from human pluripotent stem cells is routinely used to assess the identity and utility of the differentiated cells. Here we provide single cell RNA-sequencing data obtained from ROR1-expressing lens epithelial cells (ROR1e LECs), obtained via directed differentiation of CA1 human embryonic stem cells. Analysis of the data using principal component analysis, heat maps and gene ontology assessments revealed phenotypes associated with lens epithelial cells. These data provide a resource for future characterisation of both normal and cataractous human lens biology. Corresponding morphological and functional data obtained from ROR1e LECs are reported in the associated research article "A simplified method for producing human lens epithelial cells and light-focusing micro-lenses from pluripotent stem cells " (Dewi et al., 2020).

Indexed as

BioinformaticsCataractHuman lens epithelial cellMicro-lensPluripotent stem cellROR1Single cell RNA-sequencing

Identifiers

PMID33521174
PMCPMC7820909

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.