Evidence map›Paper›PMID 35572582›Full record

ReviewFrontiers in immunology2022

Mapping and Validation of scRNA-Seq-Derived Cell-Cell Communication Networks in the Tumor Microenvironment.

Kate Bridges, Kathryn Miller-Jensen

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

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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

2 authors.

Kate BridgesDepartment of Biomedical Engineering, Yale University, New Haven, CT, United States.
Kathryn Miller-JensenDepartment of Biomedical Engineering, Yale University, New Haven, CT, United States.

Funding

Yale SPORE in Skin CancerP50CA121974 · NCI · YALE UNIVERSITY · PI DAVID F STERN · 2006 to 2026
$43.9M
Systems analysis of cell-cell communication networks and immune activity in the melanoma tumor microenvironmentU01CA238728 · NCI · YALE UNIVERSITY · PI BOSENBERG, MARCUS W, MILLER-JENSEN, KATHRYN · 2020 to 2024
$2.9M
NCI NIH HHS P50 CA121974NCI NIH HHS U01 CA238728Wellcome Trust
6 · The paper itself

Abstract

Recent advances in single-cell technologies, particularly single-cell RNA-sequencing (scRNA-seq), have permitted high throughput transcriptional profiling of a wide variety of biological systems. As scRNA-seq supports inference of cell-cell communication, this technology has and continues to anchor groundbreaking studies into the efficacy and mechanism of novel immunotherapies for cancer treatment. In this review, we will highlight methods developed to infer inter- and intracellular signaling from scRNA-seq and discuss how they have contributed to studies of immunotherapeutic intervention in the tumor microenvironment (TME). However, a central challenge remains in validating the hypothesized cell-cell interactions. Therefore, this review will also cover strategies for integration of these scRNA-seq-derived interaction networks with existing experimental and computational approaches. Integration of these networks with imaging, protein secretion measurements, and network analysis and mathematical modeling tools addresses challenges that remain with scRNA-seq to enhance studies of immunosuppressive and immunotherapy-altered signaling in the TME.

Indexed as

Gene Expression ProfilingSingle-Cell AnalysisCell CommunicationSequence Analysis, RNATumor Microenvironmentcell-cell communication networkgraph theoryimmunotherapysingle-cell RNA-sequencing (scRNA-seq)single-cell secretomicsspatial profilingtumor microenvironment

Identifiers

PMID35572582
PMCPMC9096838

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Registered trials

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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.