Evidence map›Paper›PMID 27122596›Full record

ArticleMolecular & cellular proteomics : MCP2016

Identification of Protease Specificity by Combining Proteome-Derived Peptide Libraries and Quantitative Proteomics.

Martin L Biniossek, Melanie Niemer, Ken Maksimchuk, Bettina Mayer, Julian Fuchs, Pitter F Huesgen, Dewey G McCafferty, Boris Turk, Guenther Fritz, Jens Mayer and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 55 citations in OpenAlex.

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  17. Structural and functional studies ofThe Journal of biological chemistry · 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

13 authors at 7 institutions in 4 countries.

Martin L BiniossekFrom the ‡Institute of Molecular Medicine and Cell Research.
Melanie Niemer§Department of Applied Genetics and Cell Biology, University of Natural Resources and Life Sciences, Vienna, Austria;
Ken Maksimchuk¶Department of Biochemistry.
Bettina MayerFrom the ‡Institute of Molecular Medicine and Cell Research.
Julian Fuchs
Pitter F Huesgen**Central Institute for Engineering, Electronics and Analytics, ZEA-3 Analytics, Forschungszentrum Jülich, 52425 Jülich, Germany;
Dewey G McCafferty¶Department of Biochemistry.
Boris Turk‡‡Department of Chemistry, Duke University, Medical Center, Durham, NC 27708, USA; Institute of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria;
Guenther Fritz§§Department of Biochemistry and Molecular and Structural Biology, Jozef Stefan Institute, Ljubljana, Slovenia; Department of Human Genetics and Center of Human and Molecular Biology, Medical Faculty, University of Saarland Homburg, Germany;
Jens Mayer¶¶Institute of Neuropathology.
Georg Haecker***Institute for Medical Microbiology and Hygiene.
Lukas Mach§Department of Applied Genetics and Cell Biology, University of Natural Resources and Life Sciences, Vienna, Austria;
Oliver SchillingFrom the ‡Institute of Molecular Medicine and Cell Research, ‡‡‡BIOSS Centre for Biological Signaling Studies, University of Freiburg, Freiburg, Germany; §§§German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany oliver.schilling@mol-med.uni-freiburg.de.
University of Freiburg · DEBOKU University · ATDuke University Hospital · USUniversität Innsbruck · ATForschungszentrum Jülich · DEInstitute of Medical Microbiology and Hygiene · DESaarland University · DE

Funding

Enzymology of Chlamydial PathogenesisR01AI107951 · NIAID · DUKE UNIVERSITY · PI MCCAFFERTY, DEWEY G, VALDIVIA, RAPHAEL H · 2014 to 2018
$1.9M
Enzymology of Chlamydia PathogenesisR56AI107951 · NIAID · DUKE UNIVERSITY · PI MCCAFFERTY, DEWEY G · 2013 to 2013
$282k
Austrian Science Fund FWF W 1224NIAID NIH HHS R01 AI107951NIAID NIH HHS R56 AI107951
6 · The paper itself

Abstract

We present protease specificity profiling based on quantitative proteomics in combination with proteome-derived peptide libraries. Peptide libraries are generated by endoproteolytic digestion of proteomes without chemical modification of primary amines before exposure to a protease under investigation. After incubation with a test protease, treated and control libraries are differentially isotope-labeled using cost-effective reductive dimethylation. Upon analysis by liquid chromatography-tandem mass spectrometry, cleavage products of the test protease appear as semi-specific peptides that are enriched for the corresponding isotope label. We validate our workflow with two proteases with well-characterized specificity profiles: trypsin and caspase-3. We provide the first specificity profile of a protease encoded by a human endogenous retrovirus and for chlamydial protease-like activity factor (CPAF). For CPAF, we also highlight the structural basis of negative subsite cooperativity between subsites S1 and S2'. For A disintegrin and metalloproteinase with thrombospondin motifs (ADAMTS) -4, -5, and -15, we show a canonical preference profile, including glutamate in P1 and glycine in P3'. In total, we report nearly 4000 cleavage sites for seven proteases. Our protocol is fast, avoids enrichment or synthesis steps, and enables probing for lysine selectivity as well as subsite cooperativity. Due to its simplicity, we anticipate usability by most proteomic laboratories.

Indexed as

Chromatography, LiquidHumansIsotope LabelingPeptide HydrolasesPeptide LibraryProteomeProteomicsSubstrate SpecificityTandem Mass SpectrometryPeptide HydrolasesPeptide LibraryProteome

Identifiers

PMID27122596
PMCPMC4937521
OpenAlexW2343972246

What OpenQuestion holds

Textmetadata
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.