Evidence map›Paper›PMID 37815040›Full record

ArticleMolecular systems biology2023

CellNeighborEX: deciphering neighbor-dependent gene expression from spatial transcriptomics data.

Hyobin Kim, Amit Kumar, Cecilia Lövkvist, António M Palma, Patrick Martin, Junil Kim, Praveen Bhoopathi, Jose Trevino, Paul Fisher, Esha Madan and 2 more

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 36 citations in OpenAlex.

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  5. Integrating Spatial Proteogenomics in Cancer Research.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

12 authors at 4 institutions in 4 countries.

Hyobin Kim *Department of Computational Biomedicine, Cedars-Sinai Medical Center, Hollywood, CA, USA.ORCID 0000-0002-4856-7415
Amit Kumar *Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0002-3079-2067
Cecilia LövkvistNovo Nordisk Foundation Center for Stem Cell Medicine, reNEW, University of Copenhagen, Copenhagen, Denmark.
António M PalmaMassey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA.
Patrick MartinDepartment of Computational Biomedicine, Cedars-Sinai Medical Center, Hollywood, CA, USA.ORCID 0000-0002-4093-8277
Junil KimSchool of Systems Biomedical Science, Soongsil University, Seoul, Korea.ORCID 0000-0002-1202-1808
Praveen BhoopathiMassey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA.
Jose TrevinoMassey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA.
Paul FisherMassey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0002-0085-4546
Esha MadanMassey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA.
Rajan GognaMassey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA.
Kyoung Jae WonDepartment of Computational Biomedicine, Cedars-Sinai Medical Center, Hollywood, CA, USA.ORCID 0000-0002-2924-9630
Virginia Commonwealth University · USUniversity of Copenhagen · DKSoongsil University · KRUniversity of Lisbon · PT

Funding

Tissue Modeling & Drug Development Shared Resources CoreU54CA233444 · NCI · UNIVERSITY OF FLORIDA · PI FERN Jureidini WEBB · 2018 to 2026
$12.1M
United for Health Excellence - Living PDX Program (U4HELPP)U54CA283762 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Jose G. Trevino · 2023 to 2026
$5.0M
Use of BCL-xL Proteolysis targeting chimeras to treat pancreatic cancerR01CA242003 · NCI · UNIVERSITY OF FLORIDA · PI TREVINO, JOSE G., ZHENG, GUANGRONG · 2019 to 2023
$2.6M
NCI NIH HHS R01 CA242003NCI NIH HHS U54 CA233444NCI NIH HHS U54 CA283762
6 · The paper itself

Abstract

Cells have evolved their communication methods to sense their microenvironments and send biological signals. In addition to communication using ligands and receptors, cells use diverse channels including gap junctions to communicate with their immediate neighbors. Current approaches, however, cannot effectively capture the influence of various microenvironments. Here, we propose a novel approach to investigate cell neighbor-dependent gene expression (CellNeighborEX) in spatial transcriptomics (ST) data. To categorize cells based on their microenvironment, CellNeighborEX uses direct cell location or the mixture of transcriptome from multiple cells depending on ST technologies. For each cell type, CellNeighborEX identifies diverse gene sets associated with partnering cell types, providing further insight. We found that cells express different genes depending on their neighboring cell types in various tissues including mouse embryos, brain, and liver cancer. Those genes are associated with critical biological processes such as development or metastases. We further validated that gene expression is induced by neighboring partners via spatial visualization. The neighbor-dependent gene expression suggests new potential genes involved in cell-cell interactions beyond what ligand-receptor co-expression can discover.

Indexed as

Liver NeoplasmsTranscriptomeAnimalsBrainCell CommunicationGene Expression ProfilingMiceTumor Microenvironmentcell-cell interactionscellular communicationneighbor-dependent genesspatial transcriptomics

Identifiers

PMID37815040
PMCPMC10632736
OpenAlexW4387473262

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.