ReviewMutation research2011
Recent developments in quantitative proteomics.
Review in Mutation research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed, 63 citations in OpenAlex.
- Heart-brain signaling in patent foramen ovale-related stroke: differential plasma proteomic expression patterns revealed with a 2-pass liquid chromatography-tandem mass spectrometry discovery workflow.Journal of investigative medicine : the official publication of the American Federation for Clinical Research · 2012Trial
- Combined transcriptomics and proteomics analysis reveals mechanisms underlying refractory lupus nephritis in children.Clinical rheumatology · 2025Article
- Comparative Label-Free Liquid Chromatography-Mass Spectrometry Milk Proteomic Profiles Highlight Putative Differences between the Autochthon Teramana and Saanen Goat Breeds.Animals : an open access journal from MDPI · 2023Article
- Differential Proteomics Analysis Unraveled Mechanisms ofInsects · 2022Article
- Comparative Phosphoproteomic Analysis of Sporulated Oocysts and Tachyzoites ofMolecules (Basel, Switzerland) · 2022Article
- Proteome Analyses RevealACS omega · 2020Article
- Differential proteomic analysis reveals the mechanism of Musa paradisiaca responding to salt stress.Molecular biology reports · 2019Article
- iTRAQ-Based Global Phosphoproteomics Reveals Novel Molecular Differences BetweenFrontiers in cellular and infection microbiology · 2019Article
- Integrated Chemometrics and Statistics to Drive Successful Proteomics Biomarker Discovery.Proteomes · 2018Review
- Differential Proteomic Analysis by iTRAQ Reveals the Mechanism of Pyropia haitanensis Responding to High Temperature Stress.Scientific reports · 2017Article
- Label-free LC-MS analysis of HER2+ breast cancer cell line response to HER2 inhibitor treatment.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2015Article
- Article
- Review
- Protein-centric N-glycoproteomics analysis of membrane and plasma membrane proteins.Journal of proteome research · 2014Review
- Semi-quantitative analysis of changes in the plasma peptidome of Manduca sexta larvae and their correlation with the transcriptome variations upon immune challenge.Insect biochemistry and molecular biology · 2014Article
- Effects of column and gradient lengths on peak capacity and peptide identification in nanoflow LC-MS/MS of complex proteomic samples.Journal of the American Society for Mass Spectrometry · 2013Article
- Current challenges in software solutions for mass spectrometry-based quantitative proteomics.Amino acids · 2012Review
- Interlaboratory reproducibility of selective reaction monitoring assays using multiple upfront analyte enrichment strategies.Journal of proteome research · 2012Article
- Using extracellular matrix proteomics to understand left ventricular remodeling.Circulation. Cardiovascular genetics · 2012Review
- Investigating the secretome: lessons about the cells that comprise the heart.Circulation. Cardiovascular genetics · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
Abstract
Proteomics is the study of proteins on a large scale, encompassing the many interests scientists and physicians have in their expression and physical properties. Proteomics continues to be a rapidly expanding field, with a wealth of reports regularly appearing on technology enhancements and scientific studies using these new tools. This review focuses primarily on the quantitative aspect of protein expression and the associated computational machinery for making large-scale identifications of proteins and their post-translational modifications. The primary emphasis is on the combination of liquid chromatography-mass spectrometry (LC-MS) methods and associated tandem mass spectrometry (LC-MS/MS). Tandem mass spectrometry, or MS/MS, involves a second analysis within the instrument after a molecular dissociative event in order to obtain structural information including but not limited to sequence information. This review further focuses primarily on the study of in vitro digested proteins known as bottom-up or shotgun proteomics. A brief discussion of recent instrumental improvements precedes a discussion on affinity enrichment and depletion of proteins, followed by a review of the major approaches (label-free and isotope-labeling) to making protein expression measurements quantitative, especially in the context of profiling large numbers of proteins. Then a discussion follows on the various computational techniques used to identify peptides and proteins from LC-MS/MS data. This review article then includes a short discussion of LC-MS approaches to three-dimensional structure determination and concludes with a section on statistics and data mining for proteomics, including comments on properly powering clinical studies and avoiding over-fitting with large data sets.
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.