Evidence map›Paper›PMID 32846122›Full record

ArticleCell reports2020

Transite: A Computational Motif-Based Analysis Platform That Identifies RNA-Binding Proteins Modulating Changes in Gene Expression.

Konstantin Krismer, Molly A Bird, Shohreh Varmeh, Erika D Handly, Anna Gattinger, Thomas Bernwinkler, Daniel A Anderson, Andreas Heinzel, Brian A Joughin, Yi Wen Kong and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 11% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 59 citations in OpenAlex.

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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 5 institutions in 3 countries.

Konstantin KrismerComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA; Center for Precision Cancer Medicine, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02142, USA; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02142, USA; Department of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA; Department for Medical and Bioinformatics, University of Applied Sciences Upper Austria, Softwarepark 11, 4232 Hagenberg, Austria.
Molly A BirdCenter for Precision Cancer Medicine, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02142, USA; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02142, USA; Department of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.
Shohreh VarmehCenter for Precision Cancer Medicine, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02142, USA; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02142, USA.
Erika D HandlyCenter for Precision Cancer Medicine, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02142, USA; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02142, USA; Department of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.
Anna GattingerKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02142, USA; Department for Medical and Bioinformatics, University of Applied Sciences Upper Austria, Softwarepark 11, 4232 Hagenberg, Austria.
Thomas BernwinklerCenter for Precision Cancer Medicine, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02142, USA; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02142, USA; Department for Medical and Bioinformatics, University of Applied Sciences Upper Austria, Softwarepark 11, 4232 Hagenberg, Austria.
Daniel A AndersonSynthetic Biology Center, Massachusetts Institute of Technology, 500 Technology Square, Cambridge, MA 02139, USA; Department of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.
Andreas HeinzelDepartment for Medical and Bioinformatics, University of Applied Sciences Upper Austria, Softwarepark 11, 4232 Hagenberg, Austria.
Brian A JoughinCenter for Precision Cancer Medicine, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02142, USA; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02142, USA; Department of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.
Yi Wen KongCenter for Precision Cancer Medicine, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02142, USA; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02142, USA. Electronic address: ywkong@mit.edu.
Ian G CannellCenter for Precision Cancer Medicine, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02142, USA; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02142, USA; Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK. Electronic address: ian.cannell@cruk.cam.ac.uk.
Michael B YaffeCenter for Precision Cancer Medicine, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02142, USA; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02142, USA; Department of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA; Broad Institute of MIT and Harvard, 415 Main Street, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA; Divisions of Acute Care Surgery, Trauma and Surgical Critical Care, and Surgical Oncology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA 02215, USA. Electronic address: myaffe@mit.edu.
Massachusetts Institute of Technology · USBroad Institute · USCancer Research UK · GBUniversity of Applied Sciences Upper Austria · ATVassar College · US

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Paula T Hammond · 1985 to 2026
$93.9M
Tumor Cell Networks CenterU54CA112967 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LAUFFENBURGER, DOUGLAS A · 2004 to 2015
$26.2M
Protein Kinase Signaling and Cell Cycle ControlR01ES015339 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI YAFFE, MICHAEL B · 2007 to 2017
$4.3M
Protein Kinase Signaling in the Genotoxic Stress ResponseR35ES028374 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI YAFFE, MICHAEL B · 2017 to 2024
$3.9M
RNA-Binding Proteins as Molecular Integrators that Control the Response of HGSOC to Ant-Cancer TherapiesR01CA226898 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BURGE, CHRISTOPHER B, HEMANN, MICHAEL · 2019 to 2023
$2.7M
Identifying and targeting evolutionary trajectories in cancerR01CA233477 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HEMANN, MICHAEL · 2019 to 2023
$1.7M
NCI NIH HHS P30 CA014051NCI NIH HHS R01 CA226898NCI NIH HHS R01 CA233477NCI NIH HHS U54 CA112967NIEHS NIH HHS R01 ES015339NIEHS NIH HHS R35 ES028374
6 · The paper itself

Abstract

RNA-binding proteins (RBPs) play critical roles in regulating gene expression by modulating splicing, RNA stability, and protein translation. Stimulus-induced alterations in RBP function contribute to global changes in gene expression, but identifying which RBPs are responsible for the observed changes remains an unmet need. Here, we present Transite, a computational approach that systematically infers RBPs influencing gene expression through changes in RNA stability and degradation. As a proof of principle, we apply Transite to RNA expression data from human patients with non-small-cell lung cancer whose tumors were sampled at diagnosis or after recurrence following treatment with platinum-based chemotherapy. Transite implicates known RBP regulators of the DNA damage response and identifies hnRNPC as a new modulator of chemotherapeutic resistance, which we subsequently validated experimentally. Transite serves as a framework for the identification of RBPs that drive cell-state transitions and adds additional value to the vast collection of publicly available gene expression datasets.

Indexed as

DNA DamageGene ExpressionHumansRNA-Binding ProteinsRNA-Binding ProteinschemotherapyDNA damage responsepost-transcriptional regulationRNA-binding proteinssequence motifs

Identifiers

PMID32846122
PMCPMC8204639
OpenAlexW3080570440

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.