ArticleProteomics2013
Proteomic snapshot of breast cancer cell cycle: G1/S transition point.
Article in Proteomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 21 citations in OpenAlex.
- Proteomic insights into breast cancer response to brain cell-secreted factors.Scientific reports · 2024Article
- Proteomic Assessment of SKBR3/HER2+ Breast Cancer Cellular Response to Lapatinib and Investigational Ipatasertib Kinase Inhibitors.bioRxiv : the preprint server for biology · 2024Article
- Proteomic assessment of SKBR3/HER2+ breast cancer cellular response to Lapatinib and investigational Ipatasertib kinase inhibitors.Frontiers in pharmacology · 2024Article
- Anti-inflammatory cytokine stimulation of HMC3 cells: Proteome dataset.Data in brief · 2023Article
- MiR-5195-3p functions as a tumor suppressor in prostate cancer via targeting CCNL1.Cellular & molecular biology letters · 2022Article
- Potential Prognostic Biomarkers of NIMA (Never in Mitosis, Gene A)-Related Kinase (NEK) Family Members in Breast Cancer.Journal of personalized medicine · 2021Article
- Signs of carcinogenicity induced by parathion, malathion, and estrogen in human breast epithelial cells (Review).Oncology reports · 2021Article
- Systems-Level Proteomics Evaluation of Microglia Response to Tumor-Supportive Anti-Inflammatory Cytokines.Frontiers in immunology · 2021Article
- Visceral obesity and cell cycle pathways serve as links in the association between bisphenol A exposure and breast cancer.Oncology letters · 2020Article
- Proteogenomic Analysis of Protein Sequence Alterations in Breast Cancer Cells.Scientific reports · 2019Article
- Cell Cycle Model System for Advancing Cancer Biomarker Research.Scientific reports · 2017Article
- Identification of breast cancer prognostic modules based on weighted protein-protein interaction networks.Oncology letters · 2017Article
- The Targeted Antitumor Effects of C- PC/CMC-CD59sp Nanoparticles on HeLa CellsJournal of Cancer · 2017Article
- Recurrent chimeric fusion RNAs in non-cancer tissues and cells.Nucleic acids research · 2016Article
- Proteolytic Digestion and TiO2 Phosphopeptide Enrichment Microreactor for Fast MS Identification of Proteins.Journal of the American Society for Mass Spectrometry · 2016Article
- Proteomic study reveals a functional network of cancer markers in the G1-Stage of the breast cancer cell cycle.BMC cancer · 2014Article
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 1 institution in 1 country.
Funding
Abstract
The biological processes that unfold during the G1-phase of the cell cycle are dependent on extracellular mitogenic factors that signal the cell to enter a state of quiescence, or commit to a cell-cycle round by passing the restriction point (R-point) and enter the S-phase. Unlike normal cells, cancer cells evolved the ability to evade the R-point and continue through the cell cycle even in the presence of extensive DNA damage or absence of mitogenic signals. The purpose of this study was to perform a quantitative proteomic evaluation of the biological processes that are responsible for driving MCF-7 breast cancer cells into division even when molecular checkpoints such as the G1/S R-point are in place. Nuclear and cytoplasmic fractions of the G1 and S cell-cycle phases were analyzed by LC-MS/MS to result in the confident identification of more than 2700 proteins. Statistical evaluation of the normalized data resulted in the selection of proteins that displayed twofold or more change in spectral counts in each cell state. Pathway mapping, functional annotation clustering, and protein interaction network analysis revealed that the top-scoring clusters that could play a role in overriding the G1/S transition point included DNA damage response, chromatin remodeling, transcription/translation regulation, and signaling proteins.
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.