Evidence map›Paper›PMID 38858414›Full record

ArticleNPJ systems biology and applications2024

interFLOW: maximum flow framework for the identification of factors mediating the signaling convergence of multiple receptors.

Ron Sheinin, Koren Salomon, Eilam Yeini, Shai Dulberg, Ayelet Kaminitz, Ronit Satchi-Fainaro, Roded Sharan, Asaf Madi

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Ron SheininBlavatnik School of Computer Science, Tel Aviv University, Tel Aviv, 6997801, Israel.ORCID http://orcid.org/0000-0001-9154-705X
Koren SalomonDepartment of Physiology and Pharmacology, Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel.ORCID http://orcid.org/0009-0008-2300-369X
Eilam YeiniDepartment of Physiology and Pharmacology, Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel.
Shai DulbergDepartment of Pathology, Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel.
Ayelet KaminitzDepartment of Pathology, Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel.
Ronit Satchi-FainaroDepartment of Physiology and Pharmacology, Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel.ORCID http://orcid.org/0000-0002-7360-7837
Roded Sharan *Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, 6997801, Israel.
Asaf Madi *Department of Pathology, Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel. asafmadi@tauex.tau.ac.il.ORCID http://orcid.org/0000-0003-3441-3228

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 835227Israel Cancer Association (ICA) 01028753Israel Cancer Research Fund (Israel Cancer Research Fund, Inc.) PROF-18-682Israel Science Foundation (ISF) 1700/21Israel Science Foundation (ISF) 1969/18Israel Science Foundation (ISF) 2417/20
6 · The paper itself

Abstract

Cell-cell crosstalk involves simultaneous interactions of multiple receptors and ligands, followed by downstream signaling cascades working through receptors converging at dominant transcription factors, which then integrate and propagate multiple signals into a cellular response. Single-cell RNAseq of multiple cell subsets isolated from a defined microenvironment provides us with a unique opportunity to learn about such interactions reflected in their gene expression levels. We developed the interFLOW framework to map the potential ligand-receptor interactions between different cell subsets based on a maximum flow computation in a network of protein-protein interactions (PPIs). The maximum flow approach further allows characterization of the intracellular downstream signal transduction from differentially expressed receptors towards dominant transcription factors, therefore, enabling the association between a set of receptors and their downstream activated pathways. Importantly, we were able to identify key transcription factors toward which the convergence of multiple receptor signaling pathways occurs. These identified factors have a unique role in the integration and propagation of signaling following specific cell-cell interactions.

Indexed as

Signal TransductionCell CommunicationComputational BiologyHumansLigandsModels, BiologicalProtein Interaction MapsSingle-Cell AnalysisTranscription FactorsLigandsTranscription Factors

Identifiers

PMID38858414
PMCPMC11164912

What OpenQuestion 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 OpenQuestion graph.