Evidence map›Paper›PMID 31617572›Full record

ArticleIntegrative biology : quantitative biosciences from nano to macro2019

Substrate-based kinase activity inference identifies MK2 as driver of colitis.

Samantha Dale Strasser, Phaedra C Ghazi, Alina Starchenko, Myriam Boukhali, Amanda Edwards, Lucia Suarez-Lopez, Jesse Lyons, Paul S Changelian, Joseph B Monahan, Jon Jacobsen and 6 more

Open access · greenAbstract read
In one paragraph

Article in Integrative biology : quantitative biosciences from nano to macro, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

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  15. Bioinformatics Methods for Mass Spectrometry-Based Proteomics Data Analysis.International journal of molecular sciences · 2020
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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

16 authors at 7 institutions in 1 country.

Samantha Dale StrasserDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.
Phaedra C GhaziCancer Research Institute and Division of Genetics, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA 02215, USA.
Alina StarchenkoDepartment of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.
Myriam BoukhaliDepartment of Medicine, Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA.
Amanda EdwardsDepartment of Medicine, Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA.
Lucia Suarez-LopezCancer Research Institute and Division of Genetics, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA 02215, USA.
Jesse LyonsDepartment of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.
Paul S ChangelianAclaris Therapeutics, Inc., 4320 Forest Park Avenue, St. Louis, MO 63108, USA.
Joseph B MonahanAclaris Therapeutics, Inc., 4320 Forest Park Avenue, St. Louis, MO 63108, USA.
Jon JacobsenAclaris Therapeutics, Inc., 4320 Forest Park Avenue, St. Louis, MO 63108, USA.
Douglas K BrubakerDepartment of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.
Brian A JoughinDepartment of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.
Michael B YaffeDepartment of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.
Wilhelm HaasDepartment of Medicine, Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA.
Douglas A LauffenburgerDepartment of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.
Kevin M HaigisCancer Research Institute and Division of Genetics, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA 02215, USA.
Massachusetts Institute of Technology · USAclaris Therapeutics (United States) · USHarvard University · USBeth Israel Deaconess Medical Center · USCancer Research Institute · USCenter for Cancer Research · USMassachusetts General Hospital · US

Funding

STRUCTURE-FUNCTION RELATIONSHIPS IN THE ALIMENTARY TRACTP30DK034854 · NIDDK · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI JONATHAN C KAGAN · 1986 to 2026
$32.4M
A multi-faceted approach to identifying K-Ras synthetic lethal relationshipsU01CA199252 · NCI · DANA-FARBER CANCER INST · PI ELLEDGE, STEPHEN J, HAIGIS, KEVIN · 2015 to 2019
$4.7M
Protein Kinase Signaling in the Genotoxic Stress ResponseR35ES028374 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI YAFFE, MICHAEL B · 2017 to 2024
$3.9M
Systems approaches to understanding the relationships between genotype, signaling, and therapeutic efficacyU01CA215798 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HAAS, WILHELM, HAIGIS, KEVIN · 2017 to 2021
$3.7M
Modeling KRAS genetic heterogeneity in mouse modelsR01CA195744 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI HAIGIS, KEVIN · 2016 to 2018
$1.7M
NCI NIH HHS R01 CA195744NCI NIH HHS U01 CA199252NCI NIH HHS U01 CA215798NIDDK NIH HHS P30 DK034854NIEHS NIH HHS R35 ES028374
6 · The paper itself

Abstract

Inflammatory bowel disease (IBD) is a chronic and debilitating disorder that has few treatment options due to a lack of comprehensive understanding of its molecular pathogenesis. We used multiplexed mass spectrometry to collect high-content information on protein phosphorylation in two different mouse models of IBD. Because the biological function of the vast majority of phosphorylation sites remains unknown, we developed Substrate-based Kinase Activity Inference (SKAI), a methodology to infer kinase activity from phosphoproteomic data. This approach draws upon prior knowledge of kinase-substrate interactions to construct custom lists of kinases and their respective substrate sites, termed kinase-substrate sets that employ prior knowledge across organisms. This expansion as much as triples the amount of prior knowledge available. We then used these sets within the Gene Set Enrichment Analysis framework to infer kinase activity based on increased or decreased phosphorylation of its substrates in a dataset. When applied to the phosphoproteomic datasets from the two mouse models, SKAI predicted largely non-overlapping kinase activation profiles. These results suggest that chronic inflammation may arise through activation of largely divergent signaling networks. However, the one kinase inferred to be activated in both mouse models was mitogen-activated protein kinase-activated protein kinase 2 (MAPKAPK2 or MK2), a serine/threonine kinase that functions downstream of p38 stress-activated mitogen-activated protein kinase. Treatment of mice with active colitis with ATI450, an orally bioavailable small molecule inhibitor of the MK2 pathway, reduced inflammatory signaling in the colon and alleviated the clinical and histological features of inflammation. These studies establish MK2 as a therapeutic target in IBD and identify ATI450 as a potential therapy for the disease.

Indexed as

Administration, OralAnimalsCluster AnalysisColitisDisease Models, AnimalFemaleGene Expression ProfilingInflammationIntracellular Signaling Peptides and ProteinsMAP-Kinase-Activated Kinase 2Mass SpectrometryMiceMice, Inbred C57BLp38 Mitogen-Activated Protein KinasesPhosphorylationPrincipal Component AnalysisIntracellular Signaling Peptides and ProteinsMAP-Kinase-Activated Kinase 2p38 Mitogen-Activated Protein KinasesProtein Serine-Threonine Kinasesgene set enrichment analysisinflammationkinasesmouse modelproteomics

Identifiers

PMID31617572
PMCPMC7208439
OpenAlexW2980480015

What OpenQuestion holds

Textmetadata
LicenceTDM
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.