Evidence map›Paper›PMID 36106915›Full record

ArticleMolecular systems biology2022

Probing cell identity hierarchies by fate titration and collision during direct reprogramming.

Bob A Hersbach, David S Fischer, Giacomo Masserdotti, Deeksha, Karolina Mojžišová, Thomas Waltzhöni, Diego Rodriguez-Terrones, Matthias Heinig, Fabian J Theis, Magdalena Götz and 1 more

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. Cell identity and 5-hydroxymethylcytosine.Epigenetics & chromatin · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Epigenetic Dynamics in Reprogramming to Dopaminergic Neurons for Parkinson's Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  8. Review
  9. Article
  10. Insights and applications of direct neuronal reprogramming.Current opinion in genetics & development · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. 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

11 authors at 2 institutions in 2 countries.

Bob A Hersbach *Institute of Stem Cell Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Oberschleißheim, Germany.ORCID 0000-0001-9995-1364
David S Fischer *Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Oberschleißheim, Germany.ORCID 0000-0002-1293-7656
Giacomo MasserdottiInstitute of Stem Cell Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Oberschleißheim, Germany.
DeekshaInstitute of Stem Cell Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Oberschleißheim, Germany.
Karolina MojžišováInstitute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Oberschleißheim, Germany.
Thomas WaltzhöniInstitute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Oberschleißheim, Germany.
Diego Rodriguez-TerronesInstitute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Oberschleißheim, Germany.
Matthias HeinigInstitute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Oberschleißheim, Germany.
Fabian J TheisInstitute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Oberschleißheim, Germany.ORCID 0000-0002-2419-1943
Magdalena GötzInstitute of Stem Cell Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Oberschleißheim, Germany.ORCID 0000-0003-1551-9203
Stefan H StrickerInstitute of Stem Cell Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Oberschleißheim, Germany.ORCID 0000-0002-5488-8530
Helmholtz Zentrum München · DECenter for Environmental Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the therapeutic promise of direct reprogramming, basic principles concerning fate erasure and the mechanisms to resolve cell identity conflicts remain unclear. To tackle these fundamental questions, we established a single-cell protocol for the simultaneous analysis of multiple cell fate conversion events based on combinatorial and traceable reprogramming factor expression: Collide-seq. Collide-seq revealed the lack of a common mechanism through which fibroblast-specific gene expression loss is initiated. Moreover, we found that the transcriptome of converting cells abruptly changes when a critical level of each reprogramming factor is attained, with higher or lower levels not contributing to major changes. By simultaneously inducing multiple competing reprogramming factors, we also found a deterministic system, in which titration of fates against each other yields dominant or colliding fates. By investigating one collision in detail, we show that reprogramming factors can disturb cell identity programs independent of their ability to bind their target genes. Taken together, Collide-seq has shed light on several fundamental principles of fate conversion that may aid in improving current reprogramming paradigms.

Indexed as

Cellular ReprogrammingFibroblastsCell DifferentiationTranscriptomeCollide-seqdirect reprogrammingfate conversionreprogrammingscRNA-seq

Identifiers

PMID36106915
PMCPMC9476893
OpenAlexW4295906565

What Socratic 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 Socratic graph.