ArticleJournal of proteome research2014
Distinct splice variants and pathway enrichment in the cell-line models of aggressive human breast cancer subtypes.
Article in Journal of proteome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Global detection of human variants and isoforms by deep proteome sequencing.Nature biotechnology · 2023Article
- Canonical ErbB-2 isoform and ErbB-2 variant c located in the nucleus drive triple negative breast cancer growth.Oncogene · 2020Article
- Development and implementation of the SUM breast cancer cell line functional genomics knowledge base.NPJ breast cancer · 2020Article
- Cellular, transcriptomic and isoform heterogeneity of breast cancer cell line revealed by full-length single-cell RNA sequencing.Computational and structural biotechnology journal · 2020Article
- Precision Medicine: Role of Proteomics in Changing Clinical Management and Care.Journal of proteome research · 2019Article
- Splicing dysregulation as a driver of breast cancer.Endocrine-related cancer · 2018Review
- Protein biomarkers for subtyping breast cancer and implications for future research.Expert review of proteomics · 2018Review
- Exploiting differential RNA splicing patterns: a potential new group of therapeutic targets in cancer.Expert opinion on therapeutic targets · 2018Review
- Single Amino Acid Variant Profiles of Subpopulations in the MCF-7 Breast Cancer Cell Line.Journal of proteome research · 2017Article
- Proteogenomics: Integrating Next-Generation Sequencing and Mass Spectrometry to Characterize Human Proteomic Variation.Annual review of analytical chemistry (Palo Alto, Calif.) · 2016Review
- Article
- Integrated Proteomic and Genomic Analysis of Gastric Cancer Patient Tissues.Journal of proteome research · 2015Article
- MI-PVT: A Tool for Visualizing the Chromosome-Centric Human Proteome.Journal of proteome research · 2015Article
- Computational Inferences of the Functions of Alternative/Noncanonical Splice Isoforms Specific to HER2+/ER-/PR- Breast Cancers, a Chromosome 17 C-HPP Study.Journal of proteome research · 2015Article
- Mapping Splicing Quantitative Trait Loci in RNA-Seq.Cancer informatics · 2015Article
- A new class of protein cancer biomarker candidates: differentially expressed splice variants of ERBB2 (HER2/neu) and ERBB1 (EGFR) in breast cancer cell lines.Journal of proteomics · 2014Review
- Mapping Splicing Quantitative Trait Loci in RNA-Seq.Cancer informatics · 2014Article
- Novel bioinformatics method for identification of genome-wide non-canonical spliced regions using RNA-Seq data.PloS one · 2014Article
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Authors and funding
8 authors.
Funding
Abstract
This study was conducted as a part of the Chromosome-Centric Human Proteome Project (C-HPP) of the Human Proteome Organization. The United States team of C-HPP is focused on characterizing the protein-coding genes in chromosome 17. Despite its small size, chromosome 17 is rich in protein-coding genes; it contains many cancer-associated genes, including BRCA1, ERBB2, (Her2/neu), and TP53. The goal of this study was to examine the splice variants expressed in three ERBB2 expressed breast cancer cell-line models of hormone-receptor-negative breast cancers by integrating RNA-Seq and proteomic mass spectrometry data. The cell lines represent distinct phenotypic variations subtype: SKBR3 (ERBB2+ (overexpression)/ER-/PR-; adenocarcinoma), SUM190 (ERBB2+ (overexpression)/ER-/PR-; inflammatory breast cancer), and SUM149 (ERBB2 (low expression) ER-/PR-; inflammatory breast cancer). We identified more than one splice variant for 1167 genes expressed in at least one of the three cancer cell lines. We found multiple variants of genes that are in the signaling pathways downstream of ERBB2 along with variants specific to one cancer cell line compared with the other two cancer cell lines and with normal mammary cells. The overall transcript profiles based on read counts indicated more similarities between SKBR3 and SUM190. The top-ranking Gene Ontology and BioCarta pathways for the cell-line specific variants pointed to distinct key mechanisms including: amino sugar metabolism, caspase activity, and endocytosis in SKBR3; different aspects of metabolism, especially of lipids in SUM190; cell-to-cell adhesion, integrin, and ERK1/ERK2 signaling; and translational control in SUM149. The analyses indicated an enrichment in the electron transport chain processes in the ERBB2 overexpressed cell line models and an association of nucleotide binding, RNA splicing, and translation processes with the IBC models, SUM190 and SUM149. Detailed experimental studies on the distinct variants identified from each of these three breast cancer cell line models that may open opportunities for drug target discovery and help unveil their specific roles in cancer progression and metastasis.
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