Evidence map›Paper›PMID 38066188›Full record

ArticleNature genetics2024

CellCharter reveals spatial cell niches associated with tissue remodeling and cell plasticity.

Marco Varrone, Daniele Tavernari, Albert Santamaria-Martínez, Logan A Walsh, Giovanni Ciriello

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Nature genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers.

0numbers the graph read from it
0cells of the map it votes in
139citing papers in PubMed
22.9field-weighted citation impact, top 1% 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

139 citing papers in PubMed, 149 citations in OpenAlex.

  1. Spatial Transcriptomics Analysis of Ewing Sarcoma.Methods in molecular biology (Clifton, N.J.) · 2027
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  14. TTNCell reports · 2026
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79 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

5 authors at 3 institutions in 2 countries.

Marco VarroneDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-0538-3464
Daniele TavernariDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0001-5981-7363
Albert Santamaria-MartínezSwiss Cancer Center Léman, Lausanne, Switzerland.ORCID 0000-0001-5436-9207
Logan A WalshRosalind and Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada.ORCID 0000-0001-8771-2577
Giovanni CirielloDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland. giovanni.ciriello@unil.ch.ORCID 0000-0003-2021-8683
SIB Swiss Institute of Bioinformatics · CHMcGill University · CASwiss Cancer Center Léman · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tissues are organized in cellular niches, the composition and interactions of which can be investigated using spatial omics technologies. However, systematic analyses of tissue composition are challenged by the scale and diversity of the data. Here we present CellCharter, an algorithmic framework to identify, characterize, and compare cellular niches in spatially resolved datasets. CellCharter outperformed existing approaches and effectively identified cellular niches across datasets generated using different technologies, and comprising hundreds of samples and millions of cells. In multiple human lung cancer cohorts, CellCharter uncovered a cellular niche composed of tumor-associated neutrophil and cancer cells expressing markers of hypoxia and cell migration. This cancer cell state was spatially segregated from more proliferative tumor cell clusters and was associated with tumor-associated neutrophil infiltration and poor prognosis in independent patient cohorts. Overall, CellCharter enables systematic analyses across data types and technologies to decode the link between spatial tissue architectures and cell plasticity.

Indexed as

Cell PlasticityNeoplasmsHumans

Identifiers

PMID38066188
OpenAlexW4389488172

What OpenQuestion holds

Textmetadata
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.