Evidence map›Paper›PMID 38468285›Full record

ArticleBMC biology2024

Differentiation is accompanied by a progressive loss in transcriptional memory.

Camille Fourneaux, Laëtitia Racine, Catherine Koering, Sébastien Dussurgey, Elodie Vallin, Alice Moussy, Romuald Parmentier, Fanny Brunard, Daniel Stockholm, Laurent Modolo and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Chromatin Packing Domain Engineering Through the Manipulation of Nuclear Cationic States.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

14 authors at 2 institutions in 1 country.

Camille Fourneaux *Laboratoire de Biologie et Modélisation de la Cellule, Ecole Normale Supérieure de Lyon, CNRS, UMR5239, Université Claude Bernard Lyon 1, Lyon, France.
Laëtitia Racine *Ecole Pratique des Hautes Etudes, PSL Research University, Sorbonne Université, INSERM, CRSA, Paris, 75012, France.
Catherine Koering *Laboratoire de Biologie et Modélisation de la Cellule, Ecole Normale Supérieure de Lyon, CNRS, UMR5239, Université Claude Bernard Lyon 1, Lyon, France.
Sébastien Dussurgey *Plateforme AniRA-Cytométrie, Université Claude Bernard Lyon 1, CNRS UAR3444, Inserm US8, ENS de Lyon, SFR Biosciences, Lyon, F-69007, France.
Elodie VallinLaboratoire de Biologie et Modélisation de la Cellule, Ecole Normale Supérieure de Lyon, CNRS, UMR5239, Université Claude Bernard Lyon 1, Lyon, France.
Alice MoussyEcole Pratique des Hautes Etudes, PSL Research University, Sorbonne Université, INSERM, CRSA, Paris, 75012, France.
Romuald ParmentierEcole Pratique des Hautes Etudes, PSL Research University, Sorbonne Université, INSERM, CRSA, Paris, 75012, France.
Fanny BrunardLaboratoire de Biologie et Modélisation de la Cellule, Ecole Normale Supérieure de Lyon, CNRS, UMR5239, Université Claude Bernard Lyon 1, Lyon, France.
Daniel StockholmEcole Pratique des Hautes Etudes, PSL Research University, Sorbonne Université, INSERM, CRSA, Paris, 75012, France.
Laurent ModoloLaboratoire de Biologie et Modélisation de la Cellule, Ecole Normale Supérieure de Lyon, CNRS, UMR5239, Université Claude Bernard Lyon 1, Lyon, France.
Franck PicardLaboratoire de Biologie et Modélisation de la Cellule, Ecole Normale Supérieure de Lyon, CNRS, UMR5239, Université Claude Bernard Lyon 1, Lyon, France.
Olivier GandrillonLaboratoire de Biologie et Modélisation de la Cellule, Ecole Normale Supérieure de Lyon, CNRS, UMR5239, Université Claude Bernard Lyon 1, Lyon, France.
Andras PaldiEcole Pratique des Hautes Etudes, PSL Research University, Sorbonne Université, INSERM, CRSA, Paris, 75012, France.
Sandrine Gonin-GiraudLaboratoire de Biologie et Modélisation de la Cellule, Ecole Normale Supérieure de Lyon, CNRS, UMR5239, Université Claude Bernard Lyon 1, Lyon, France. sandrine.giraud@ens-lyon.fr.ORCID http://orcid.org/0000-0002-4617-3674
Université Claude Bernard Lyon 1 · FRInserm · FR

Funding

Agence Nationale de la Recherche ANR-17-CE12-0031
6 · The paper itself

Abstract

backgroundCell differentiation requires the integration of two opposite processes, a stabilizing cellular memory, especially at the transcriptional scale, and a burst of gene expression variability which follows the differentiation induction. Therefore, the actual capacity of a cell to undergo phenotypic change during a differentiation process relies upon a modification in this balance which favors change-inducing gene expression variability. However, there are no experimental data providing insight on how fast the transcriptomes of identical cells would diverge on the scale of the very first two cell divisions during the differentiation process.

resultsIn order to quantitatively address this question, we developed different experimental methods to recover the transcriptomes of related cells, after one and two divisions, while preserving the information about their lineage at the scale of a single cell division. We analyzed the transcriptomes of related cells from two differentiation biological systems (human CD34+ cells and T2EC chicken primary erythrocytic progenitors) using two different single-cell transcriptomics technologies (scRT-qPCR and scRNA-seq).

conclusionsWe identified that the gene transcription profiles of differentiating sister cells are more similar to each other than to those of non-related cells of the same type, sharing the same environment and undergoing similar biological processes. More importantly, we observed greater discrepancies between differentiating sister cells than between self-renewing sister cells. Furthermore, a progressive increase in this divergence from first generation to second generation was observed when comparing differentiating cousin cells to self renewing cousin cells. Our results are in favor of a gradual erasure of transcriptional memory during the differentiation process.

Indexed as

Gene Expression ProfilingTranscriptomeCell DifferentiationCell DivisionHumansSingle-Cell AnalysisCell differentiationGene expression variabilitySister cellsTranscriptional memoryTranscriptome

Identifiers

PMID38468285
PMCPMC10929117
OpenAlexW4392713448

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.