Evidence map›Paper›PMID 31412285›Full record

ReviewStem cell reports2019

Transcriptional Profiling of Stem Cells: Moving from Descriptive to Predictive Paradigms.

Christine A Wells, Jarny Choi

Abstract readReview
In one paragraph

Review in Stem cell reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Umbilical cord mesenchymal stromal cells-from bench to bedside.Frontiers in cell and developmental biology · 2022
    Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. 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

2 authors.

Christine A WellsCentre for Stem Cell Systems, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville 3010, Australia. Electronic address: wells.c@unimelb.edu.au.
Jarny ChoiCentre for Stem Cell Systems, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville 3010, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptional profiling is a powerful tool commonly used to benchmark stem cells and their differentiated progeny. As the wealth of stem cell data builds in public repositories, we highlight common data traps, and review approaches to combine and mine this data for new cell classification and cell prediction tools. We touch on future trends for stem cell profiling, such as single-cell profiling, long-read sequencing, and improved methods for measuring molecular modifications on chromatin and RNA that bring new challenges and opportunities for stem cell analysis.

Indexed as

Transcription, GeneticChromatinComputational BiologyHumansModels, TheoreticalRNARNA SplicingSingle-Cell AnalysisStem CellsChromatinRNAbioinformaticspluripotent stem cellreprogrammingsingle-cell sequencingtranscriptome

Identifiers

PMID31412285
PMCPMC6700522

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.