Evidence map›Paper›PMID 27318512›Full record

ReviewTrends in biotechnology2016

Computational Tools for Stem Cell Biology.

Qin Bian, Patrick Cahan

Open access · bronzeAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Trends in biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Informatics Approaches for Harmonized Intelligent Integration of Stem Cell Research.Stem cells and cloning : advances and applications · 2020
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Computational methods for direct cell conversion.Cell cycle (Georgetown, Tex.) · 2016
    Review
  17. 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

2 authors at 2 institutions in 1 country.

Qin BianInstitute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Patrick CahanInstitute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA. Electronic address: patrick.cahan@jhmi.edu.
Johns Hopkins Medicine · USJohns Hopkins University · US

Funding

Pluripotent stem cell-derived HSCs: improvements and molecular mechanismsK01DK096013 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI CAHAN, PATRICK · 2013 to 2017
$781k
NIDDK NIH HHS K01 DK096013
6 · The paper itself

Abstract

For over half a century, the field of developmental biology has leveraged computation to explore mechanisms of developmental processes. More recently, computational approaches have been critical in the translation of high throughput data into knowledge of both developmental and stem cell biology. In the past several years, a new subdiscipline of computational stem cell biology has emerged that synthesizes the modeling of systems-level aspects of stem cells with high-throughput molecular data. In this review, we provide an overview of this new field and pay particular attention to the impact that single cell transcriptomics is expected to have on our understanding of development and our ability to engineer cell fate.

Indexed as

Computational BiologyStem Cell ResearchStem CellsAnimalsCell BiologyCells, CulturedHumansMicecell fate engineeringcomputational biologynetwork biologysingle cell transcriptomicsstem cell biology

Identifiers

PMID27318512
PMCPMC5116400
OpenAlexW2425020577

What Socratic holds

Textmetadata
LicenceTDM
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.