ArticleMolecular & cellular proteomics : MCP2012
Advancing cell biology through proteomics in space and time (PROSPECTS).
Article in Molecular & cellular proteomics : MCP, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed, 64 citations in OpenAlex.
- Appraisal of the Use of Proteomics Methodological Approaches and Technologies on Sheep and Goat Research and Clinical Work.Animals : an open access journal from MDPI · 2025Article
- From advanced imaging to molecular insights: the state of the art in omics for axial spondyloarthritis.Therapeutic advances in musculoskeletal disease · 2025Review
- Salivary Proteomics & Gene Expression Analysis: Applications in Orthodontics and Oral Health Care Research-A Pilot Project.Biomarker insights · 2025Article
- The New Omics Era into Systems Approaches: What Is the Importance of Separation Techniques?Advances in experimental medicine and biology · 2021Article
- Reflections on the HUPO Human Proteome Project, the Flagship Project of the Human Proteome Organization, at 10 Years.Molecular & cellular proteomics : MCP · 2021Article
- Cancer Associated Fibroblasts: The Architects of Stroma Remodeling.Proteomics · 2018Review
- Article
- Stable Isotope Labeling with Amino Acids (SILAC)-Based Proteomics of Primary Human Kidney Cells Reveals a Novel Link between Male Sex Hormones and Impaired Energy Metabolism in Diabetic Kidney Disease.Molecular & cellular proteomics : MCP · 2017Article
- Transcriptomics resources of human tissues and organs.Molecular systems biology · 2016Review
- Studying epigenetic complexes and their inhibitors with the proteomics toolbox.Clinical epigenetics · 2016Review
- A peptide resource for the analysis of Staphylococcus aureus in host-pathogen interaction studies.Proteomics · 2015Article
- Proteomics-based metabolic modeling reveals that fatty acid oxidation (FAO) controls endothelial cell (EC) permeability.Molecular & cellular proteomics : MCP · 2015Article
- PEIMAN 1.0: Post-translational modification Enrichment, Integration and Matching ANalysis.Database : the journal of biological databases and curation · 2015Article
- CIG-P: Circular Interaction Graph for Proteomics.BMC bioinformatics · 2014Article
- MALDI imaging mass spectrometry: spatial molecular analysis to enable a new age of discovery.Journal of proteomics · 2014Review
- Glycopeptide capture for cell surface proteomics.Journal of visualized experiments : JoVE · 2014Article
- Characterization of the membrane proteome and N-glycoproteome in BV-2 mouse microglia by liquid chromatography-tandem mass spectrometry.BMC genomics · 2014Article
- Post-genomics nanotechnology is gaining momentum: nanoproteomics and applications in life sciences.Omics : a journal of integrative biology · 2014Review
- A proteomic chronology of gene expression through the cell cycle in human myeloid leukemia cells.eLife · 2014Article
- SILAC-based proteomics of human primary endothelial cell morphogenesis unveils tumor angiogenic markers.Molecular & cellular proteomics : MCP · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 11 institutions in 7 countries.
Funding
Abstract
The term "proteomics" encompasses the large-scale detection and analysis of proteins and their post-translational modifications. Driven by major improvements in mass spectrometric instrumentation, methodology, and data analysis, the proteomics field has burgeoned in recent years. It now provides a range of sensitive and quantitative approaches for measuring protein structures and dynamics that promise to revolutionize our understanding of cell biology and molecular mechanisms in both human cells and model organisms. The Proteomics Specification in Time and Space (PROSPECTS) Network is a unique EU-funded project that brings together leading European research groups, spanning from instrumentation to biomedicine, in a collaborative five year initiative to develop new methods and applications for the functional analysis of cellular proteins. This special issue of Molecular and Cellular Proteomics presents 16 research papers reporting major recent progress by the PROSPECTS groups, including improvements to the resolution and sensitivity of the Orbitrap family of mass spectrometers, systematic detection of proteins using highly characterized antibody collections, and new methods for absolute as well as relative quantification of protein levels. Manuscripts in this issue exemplify approaches for performing quantitative measurements of cell proteomes and for studying their dynamic responses to perturbation, both during normal cellular responses and in disease mechanisms. Here we present a perspective on how the proteomics field is moving beyond simply identifying proteins with high sensitivity toward providing a powerful and versatile set of assay systems for characterizing proteome dynamics and thereby creating a new "third generation" proteomics strategy that offers an indispensible tool for cell biology and molecular medicine.
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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.