Evidence map›Paper›PMID 30340033›Full record

ReviewCell2018

Stem Cells, Genome Editing, and the Path to Translational Medicine.

Frank Soldner, Rudolf Jaenisch

Abstract readReview
In one paragraph

Review in Cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing 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

84 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The RNA content of extracellular vesicles from gene-editedMolecular therapy. Methods & clinical development · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Super-enhancer omics in stem cell.Molecular cancer · 2024
    Review
  15. Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. Article

24 more citing papers are in PubMed but not listed here.

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.

Frank SoldnerThe Whitehead Institute for Biomedical Research, 455 Main Street, Cambridge, MA 02142, USA.
Rudolf JaenischThe Whitehead Institute for Biomedical Research, 455 Main Street, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, 31 Ames Street, Cambridge, MA 02139, USA. Electronic address: jaenisch@wi.mit.edu.

Funding

In Vitro Reprogramming of Somatic Cells into Pluripotent ES-like CellsR37HD045022 · NICHD · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI JAENISCH, RUDOLF · 2009 to 2017
$7.5M
Transcriptional condensates, epigenetic editing and Rett SyndromeR01MH104610 · NIMH · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI JAENISCH, RUDOLF, YOUNG, RICHARD · 2014 to 2023
$7.4M
An iPSC based platform for functionally assessing genetic and environmental riskR01NS088538 · NINDS · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI JAENISCH, RUDOLF, MYERS, RICHARD H · 2014 to 2018
$5.0M
NICHD NIH HHS R37 HD045022NIMH NIH HHS R01 MH104610NINDS NIH HHS R01 NS088538
6 · The paper itself

Abstract

The derivation of human embryonic stem cells (hESCs) and the stunning discovery that somatic cells can be reprogrammed into human induced pluripotent stem cells (hiPSCs) holds the promise to revolutionize biomedical research and regenerative medicine. In this Review, we focus on disorders of the central nervous system and explore how advances in human pluripotent stem cells (hPSCs) coincide with evolutions in genome engineering and genomic technologies to provide realistic opportunities to tackle some of the most devastating complex disorders.

Indexed as

AnimalsCentral Nervous System DiseasesGene EditingHumansStem Cell TransplantationTranslational Research, Biomedical

Identifiers

PMID30340033
PMCPMC6461399

What OpenQuestion 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 OpenQuestion graph.