ArticleMolecular & cellular proteomics : MCP2010
A statistics-based platform for quantitative N-terminome analysis and identification of protease cleavage products.
Article in Molecular & cellular proteomics : MCP, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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.
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.
Who cites it
33 citing papers in PubMed.
- TargetSeeker-MS: A Bayesian Inference Approach for Drug-Target Discovery Using Protein Fractionation Coupled to Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2025Article
- Deep quantification of substrate turnover defines protease subsite cooperativity.Molecular systems biology · 2024Article
- N-Terminomic Identification of Intracellular MMP-2 Substrates in Cardiac Tissue.Journal of proteome research · 2024Article
- Combined genetic-pharmacologic inactivation of tightly linked ADAMTS proteases in temporally specific windows uncovers distinct roles for versican proteolysis and glypican-6 in cardiac development.Matrix biology : journal of the International Society for Matrix Biology · 2024Article
- Sensitive Plant N-Terminome Profiling with HUNTER.Methods in molecular biology (Clifton, N.J.) · 2022Article
- DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites.Bioinformatics (Oxford, England) · 2020Article
- Integration of Two In-depth Quantitative Proteomics Approaches Determines the Kallikrein-related Peptidase 7 (KLK7) Degradome in Ovarian Cancer Cell Secretome.Molecular & cellular proteomics : MCP · 2019Article
- Ssy5 is a signaling serine protease that exhibits atypical biogenesis and marked S1 specificity.The Journal of biological chemistry · 2018Article
- N-Terminomics TAILS Identifies Host Cell Substrates of Poliovirus and Coxsackievirus B3 3C Proteinases That Modulate Virus Infection.Journal of virology · 2018Article
- Quantitative proteomics and terminomics to elucidate the role of ubiquitination and proteolysis in adaptive immunity.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2016Review
- Matrix Metalloproteinase 10 Degradomics in Keratinocytes and Epidermal Tissue Identifies Bioactive Substrates With Pleiotropic Functions.Molecular & cellular proteomics : MCP · 2015Article
- High-Throughput Multiplexed Peptide-Centric Profiling Illustrates Both Substrate Cleavage Redundancy and Specificity in the MMP Family.Chemistry & biology · 2015Article
- In vivo assessment of protease dynamics in cutaneous wound healing by degradomics analysis of porcine wound exudates.Molecular & cellular proteomics : MCP · 2015Article
- Identification of secreted proteins that reflect autophagy dynamics within tumor cells.Autophagy · 2015Article
- A new transcriptional role for matrix metalloproteinase-12 in antiviral immunity.Nature medicine · 2014Article
- Annotating N termini for the human proteome project: N termini and Nα-acetylation status differentiate stable cleaved protein species from degradation remnants in the human erythrocyte proteome.Journal of proteome research · 2014Article
- Time-resolved analysis of the matrix metalloproteinase 10 substrate degradome.Molecular & cellular proteomics : MCP · 2014Article
- Proteolytic post-translational modification of proteins: proteomic tools and methodology.Molecular & cellular proteomics : MCP · 2013Review
- Cleavage entropy as quantitative measure of protease specificity.PLoS computational biology · 2013Article
- The metalloproteases meprin α and meprin β: unique enzymes in inflammation, neurodegeneration, cancer and fibrosis.The Biochemical journal · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Terminal amine isotopic labeling of substrates (TAILS), our recently introduced platform for quantitative N-terminome analysis, enables wide dynamic range identification of original mature protein N-termini and protease cleavage products. Modifying TAILS by use of isobaric tag for relative and absolute quantification (iTRAQ)-like labels for quantification together with a robust statistical classifier derived from experimental protease cleavage data, we report reliable and statistically valid identification of proteolytic events in complex biological systems in MS2 mode. The statistical classifier is supported by a novel parameter evaluating ion intensity-dependent quantification confidences of single peptide quantifications, the quantification confidence factor (QCF). Furthermore, the isoform assignment score (IAS) is introduced, a new scoring system for the evaluation of single peptide-to-protein assignments based on high confidence protein identifications in the same sample prior to negative selection enrichment of N-terminal peptides. By these approaches, we identified and validated, in addition to known substrates, low abundance novel bioactive MMP-2 targets including the plasminogen receptor S100A10 (p11) and the proinflammatory cytokine proEMAP/p43 that were previously undescribed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.