ArticleThe annals of applied statistics2010
Liquid Chromatography Mass Spectrometry-Based Proteomics: Biological and Technological Aspects.
Article in The annals of applied statistics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04843865 (A Systemic Approach to Study the Traditional Chinese Medicine as an Adjuvant Treatment in Breast Cancer Patients), which is not on this map. Cited by 81 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.
A Systemic Approach to Study the Traditional Chinese Medicine as an Adjuvant Treatment in Breast Cancer Patients
Who cites it
81 citing papers in PubMed.
- Review
- Peptides from the Shadows: Molecular Depth Insights and Clinical Horizons of Circular RNA-encoded Peptides in Gliomas.Neuromolecular medicine · 2026Review
- An insight into comparative sex based proteomic profiling of Hilsa Tenualosa ilisha towards domestication and aquaculture.Scientific reports · 2026Article
- LCMSpector: A simple open-source viewer for targeted hyphenated mass spectrometry analysis.PLoS computational biology · 2025Article
- Review
- Review
- Non-standardized protein background in IVF media linked to serum-derived albumin supplementation.Journal of assisted reproduction and genetics · 2025Article
- Enzymatic valorization of fishery by-products: harnessing cold-adapted marine proteases for sustainable production of bioactive peptides.Archives of microbiology · 2025Review
- Evaluating inkjet dispenser/liquid vortex capture-mass spectrometry for single-cell metabolomics in Hep G2 steatosis caused by tamoxifen.Analytical and bioanalytical chemistry · 2025Article
- MultiStageSearch: An Iterative Workflow for Unbiased Taxonomic Analysis of Pathogens Using Proteogenomics.Journal of proteome research · 2025Article
- A Comprehensive Review of Deep Learning Applications with Multi-Omics Data in Cancer Research.Genes · 2025Review
- From blood drops to biomarkers: a scoping review of microsampling in mass spectrometry-based proteomics.Clinical proteomics · 2025Review
- Comparative metabolites profiling of different solvent extracts of Asparagus species cladodes using liquid chromatography-mass spectrometry-based metabolomics and molecular networking.Phytochemical analysis : PCA · 2025Article
- Green synthesis of ZnO nanoparticles usingRSC advances · 2025Article
- The cancer microbiome.Advances in clinical chemistry · 2025Review
- Proteomic Signatures of Multisystem Inflammatory Syndrome in Children (MIS-C) Associated with COVID-19: A Narrative Review.Children (Basel, Switzerland) · 2024Review
- ARID3C Acts as a Regulator of Monocyte-to-Macrophage Differentiation Interacting with NPM1.Journal of proteome research · 2024Article
- A Proteomic Approach to Determine Stem Cell Skeletal Differentiation Signature on Additive Manufactured Scaffolds.Small science · 2024Article
- A Novel Non-Destructive Rapid Tool for Estimating Amino Acid Composition and Secondary Structures of Proteins in Solution.Small methods · 2024Article
- First Insight into the Degradome ofInternational journal of molecular sciences · 2024Article
21 more citing papers are in PubMed but not listed here.
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
Mass spectrometry-based proteomics has become the tool of choice for identifying and quantifying the proteome of an organism. Though recent years have seen a tremendous improvement in instrument performance and the computational tools used, significant challenges remain, and there are many opportunities for statisticians to make important contributions. In the most widely used "bottom-up" approach to proteomics, complex mixtures of proteins are first subjected to enzymatic cleavage, the resulting peptide products are separated based on chemical or physical properties and analyzed using a mass spectrometer. The two fundamental challenges in the analysis of bottom-up MS-based proteomics are: (1) Identifying the proteins that are present in a sample, and (2) Quantifying the abundance levels of the identified proteins. Both of these challenges require knowledge of the biological and technological context that gives rise to observed data, as well as the application of sound statistical principles for estimation and inference. We present an overview of bottom-up proteomics and outline the key statistical issues that arise in protein identification and quantification.
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.