ArticleMolecular & cellular proteomics : MCP2019
Quantifying Homologous Proteins and Proteoforms.
Article in Molecular & cellular proteomics : MCP, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled 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.
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
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Initial recommendations for performing, benchmarking and reporting single-cell proteomics experiments.Nature methods · 2023Guideline
- SpliceProt 2.0: A Sequence Repository of Human, Mouse, and Rat Proteoforms.International journal of molecular sciences · 2024Article
- Article
- Putting Humpty Dumpty Back Together Again: What Does Protein Quantification Mean in Bottom-Up Proteomics?Journal of proteome research · 2022Article
- Beyond Protein Sequence: Protein Isomerization in Alzheimer's Disease.Journal of proteome research · 2022Article
- Characterising proteolysis during SARS-CoV-2 infection identifies viral cleavage sites and cellular targets with therapeutic potential.Nature communications · 2021Article
- Analyzing Ribosome Remodeling in Health and Disease.Proteomics · 2020Review
- Improving Proteoform Identifications in Complex Systems Through Integration of Bottom-Up and Top-Down Data.Journal of proteome research · 2020Article
- Deep Profiling of Cellular Heterogeneity by Emerging Single-Cell Proteomic Technologies.Proteomics · 2020Review
- Quantitative analysis of Y-Chromosome gene expression across 36 human tissues.Genome research · 2020Article
- DO-MS: Data-Driven Optimization of Mass Spectrometry Methods.Journal of proteome research · 2019Article
- Approaches for Studying Ribosome Specialization.Trends in biochemical sciences · 2019Review
- Ribosome Stoichiometry: From Form to Function.Trends in biochemical sciences · 2019Review
- Inferring Protein-Protein Interaction Networks From Mass Spectrometry-Based Proteomic Approaches: A Mini-Review.Computational and structural biotechnology journal · 2019Review
- Single cell protein analysis for systems biology.Essays in biochemistry · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Many proteoforms-arising from alternative splicing, post-translational modifications (PTM), or paralogous genes-have distinct biological functions, such as histone PTM proteoforms. However, their quantification by existing bottom-up mass-spectrometry (MS) methods is undermined by peptide-specific biases. To avoid these biases, we developed and implemented a first-principles model (HI
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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.