Evidence map›Paper›PMID 34179843›Full record

ArticlePatterns (New York, N.Y.)2021

Causal interactions from proteomic profiles: Molecular data meet pathway knowledge.

Özgün Babur, Augustin Luna, Anil Korkut, Funda Durupinar, Metin Can Siper, Ugur Dogrusoz, Alvaro Sebastian Vaca Jacome, Ryan Peckner, Karen E Christianson, Jacob D Jaffe and 4 more

Abstract read
In one paragraph

Article in Patterns (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
–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

58 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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  7. PU.1 inhibition sensitizes stem-monocytic AML to BCL2 blockade.bioRxiv : the preprint server for biology · 2026
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  18. Memory effects of prior subculture may impact the quality of multiomic perturbation profiles.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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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.

Özgün BaburComputer Science Department, University of Massachusetts Boston, 100 William T. Morrissey Boulevard, Boston, MA 02125, USA.
Augustin LunacBio Center for Computational and Systems Biology, Dana-Farber Cancer Institute and Department of Cell Biology, Harvard Medical School, Boston, MA 02215, USA.
Anil KorkutDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Funda DurupinarComputer Science Department, University of Massachusetts Boston, 100 William T. Morrissey Boulevard, Boston, MA 02125, USA.
Metin Can SiperComputational Biology Program, Oregon Health and Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA.
Ugur DogrusozComputer Engineering Department, Bilkent University, Ankara 06800, Turkey.
Alvaro Sebastian Vaca JacomeThe Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Ryan PecknerThe Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Karen E ChristiansonThe Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Jacob D JaffeThe Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Paul T SpellmanComputational Biology Program, Oregon Health and Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA.
Joseph E AslanKnight Cardiovascular Institute, Oregon Health and Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA.
Chris SandercBio Center for Computational and Systems Biology, Dana-Farber Cancer Institute and Department of Cell Biology, Harvard Medical School, Boston, MA 02215, USA.
Emek DemirComputational Biology Program, Oregon Health and Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
TR&D 3 - Network Guided Machine LearningP41GM103504 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2012 to 2024
$17.3M
Pathway Commons: Research Resource for Biological PathwaysU41HG006623 · NHGRI · SLOAN-KETTERING INST CAN RESEARCH · PI SANDER, CHRIS · 2012 to 2017
$5.7M
Pathway Maps of Platelet Phenotype and FunctionR01HL146549 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI ASLAN, JOSEPH E · 2019 to 2023
$2.5M
NCI NIH HHS P30 CA016672NHGRI NIH HHS U41 HG006623NHLBI NIH HHS R01 HL146549NIGMS NIH HHS P41 GM103504
6 · The paper itself

Abstract

We present a computational method to infer causal mechanisms in cell biology by analyzing changes in high-throughput proteomic profiles on the background of prior knowledge captured in biochemical reaction knowledge bases. The method mimics a biologist's traditional approach of explaining changes in data using prior knowledge but does this at the scale of hundreds of thousands of reactions. This is a specific example of how to automate scientific reasoning processes and illustrates the power of mapping from experimental data to prior knowledge via logic programming. The identified mechanisms can explain how experimental and physiological perturbations, propagating in a network of reactions, affect cellular responses and their phenotypic consequences. Causal pathway analysis is a powerful and flexible discovery tool for a wide range of cellular profiling data types and biological questions. The automated causation inference tool, as well as the source code, are freely available at http://causalpath.org.

Indexed as

cancercausal pathway analysisproteomics

Identifiers

PMID34179843
PMCPMC8212145

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.