ArticleJournal of proteome research2022
Collision Cross Sections for Native Proteomics: Challenges and Opportunities.
Article in Journal of proteome research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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Who cites it
12 citing papers in PubMed.
- Advances in Mass Spectrometry Instrumentation and Methodology for Analysis of Alternative Protein Isoforms.Journal of mass spectrometry : JMS · 2026Review
- Assigning Peptide Structure from Ion-Mobility Mass Spectrometry Collision Cross Section Data.Journal of the American Society for Mass Spectrometry · 2025Article
- A Conformation-Specific Approach to Native Top-down Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2024Article
- Ion Mobility-Mass Spectrometry Captures the Structural Consequences of Lipid Nanoparticle Encapsulation on Ribonucleic Acid Cargo.Journal of the American Chemical Society · 2024Article
- Article
- Cyclic Ion Mobility-Mass Spectrometry and Tandem Collision Induced Unfolding for Quantification of Elusive Protein Biomarkers.Analytical chemistry · 2024Article
- The Chronic Effects of a Single Low-Intensity Blast Exposure on Phosphoproteome Networks and Cognitive Function Influenced by Mutant Tau Overexpression.International journal of molecular sciences · 2024Article
- Development of an Automated, High-Throughput Methodology for Native Mass Spectrometry and Collision-Induced Unfolding.Analytical chemistry · 2023Article
- Expedited Evaluation of Conformational Stability-Heterogeneity Associations for Crude Polyclonal Antibodies in Response to Conjugate Vaccines.Analytical chemistry · 2023Article
- Article
- Symmetry of 4-Oxalocrotonate Tautomerase Trimers Influences Unfolding and Fragmentation in the Gas Phase.Journal of the American Chemical Society · 2022Article
- Proteomic Study on the Reproductive Toxicity ofFrontiers in pharmacology · 2022Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
Recent advancements place a comprehensive catalog of protein structure, oligomeric state, sequence, and modification status tentatively within reach, thus providing an unprecedented roadmap to therapies for many human diseases. To achieve this goal, revolutionary technologies capable of bridging key gaps in our ability to simultaneously measure protein composition and structure must be developed. Much of the current progress in this area has been catalyzed by mass spectrometry (MS) tools, which have become an indispensable resource for interrogating the structural proteome. For example, methods associated with native proteomics seek to comprehensively capture and quantify the endogenous assembly states for all proteins within an organism. Such technologies have often been partnered with ion mobility (IM) separation, from which collision cross section (CCS) information can be rapidly extracted to provide protein size information. IM technologies are also being developed that utilize CCS values to enhance the confidence of protein identification workflows derived from liquid chromatography-IM-MS analyses of enzymatically produced peptide mixtures. Such parallel advancements in technology beg the question: can CCS values prove similarly useful for the identification of intact proteins and their complexes in native proteomics? In this perspective, I examine current evidence and technology trends to explore the promise and limitations of such CCS information for the comprehensive analysis of multiprotein complexes from cellular mixtures.
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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.