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Biotechnology Information mitochondrial protein coding gene sequences
Mitochondrial Protein Coding Gene Sequences, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Article Title: One Action and Multiple Results: Influenza A Virus and SARS-CoV-2 Poly-Epitope-Based Hybrid Vaccine Exploration by Reverse Vaccinology and Immunoinformatic Methods.
Article Snippet: Introduction: Influenza A virus (IAV) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) coinfection have been shown to intensify symptoms and, therefore, could be considered a significant threat to susceptible populations.. Although vaccination is an effective and safe strategy to be used against viruses, large amounts of mutations in these two viruses remain an issue for vaccine design, as some strains of the IAV and SARS-CoV-2 are still present worldwide, regardless of the introduction of various vaccines to protect against the

Article Title: Mechanisms Driving Ground‐Dwelling Animal Diversity Responses to Urbanization Gradients: A Case Study From the Chuhe River Riparian Zone in Nanjing, China
Article Snippet: To assess phylogenetic diversity, we obtained mitochondrial protein‐coding gene sequences of cytochrome c oxidase subunit III (COX3) for all target species from the National Center for Biotechnology Information (NCBI, ; https://www.ncbi.nlm.nih.gov/ ).

Membrane:

Article Title: Exploring thylakoid emergence: evolution of membrane biogenesis and photosystem II assembly in early-diverging cyanobacteria.
Article Snippet: .. Protein-coding sequences were obtained directly from the National Center for Biotechnology Information (NCBI) Fig. 1 Proposed mechanisms of thylakoid membrane (TM) biogenesis. ..

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Article Title: Complete Chloroplast Genome of Fokienia hodginsii (Dunn) Henry et Thomas: Insights into Repeat Regions Variation and Phylogenetic Relationships in Cupressophyta
Article Snippet: .. In order to construct a phylogenetic tree, which shows the evolutionary relationships between candidates in a clear tree-like map, we selected 21 species (Table S1) and downloaded the sequences of their cp protein-coding genes from the National Center for Biotechnology Information (https: //www.ncbi.nlm.nih.gov/). ..



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<t>TRAF3</t> is positively correlated with favorable prognosis in breast cancer. ( a ) High TRAF3 mRNA expression levels are associated with better OS (Living vs. Diseased, Mann–Whitney U test), lower disease stage (Bonferroni correction), lower lymph node stage (N) (N0 vs. N1: p = 0.004, Bonferroni correction) and lower tumor stage (T) (T1 vs. T3: p = 0.019, Bonferroni correction) in the TCGA-BRCA cohort. ( b ) High TRAF3 mRNA expression presents with a statistically significant better OS ( p = 0.00405) and DMFS ( p = 0.00729) in the ER-negative breast cancer cohort employed by GOBO, with ER-positive disease presenting a similar association despite not reaching statistical significance.
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<t>TRAF3</t> is positively correlated with favorable prognosis in breast cancer. ( a ) High TRAF3 mRNA expression levels are associated with better OS (Living vs. Diseased, Mann–Whitney U test), lower disease stage (Bonferroni correction), lower lymph node stage (N) (N0 vs. N1: p = 0.004, Bonferroni correction) and lower tumor stage (T) (T1 vs. T3: p = 0.019, Bonferroni correction) in the TCGA-BRCA cohort. ( b ) High TRAF3 mRNA expression presents with a statistically significant better OS ( p = 0.00405) and DMFS ( p = 0.00729) in the ER-negative breast cancer cohort employed by GOBO, with ER-positive disease presenting a similar association despite not reaching statistical significance.
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<t>TRAF3</t> is positively correlated with favorable prognosis in breast cancer. ( a ) High TRAF3 mRNA expression levels are associated with better OS (Living vs. Diseased, Mann–Whitney U test), lower disease stage (Bonferroni correction), lower lymph node stage (N) (N0 vs. N1: p = 0.004, Bonferroni correction) and lower tumor stage (T) (T1 vs. T3: p = 0.019, Bonferroni correction) in the TCGA-BRCA cohort. ( b ) High TRAF3 mRNA expression presents with a statistically significant better OS ( p = 0.00405) and DMFS ( p = 0.00729) in the ER-negative breast cancer cohort employed by GOBO, with ER-positive disease presenting a similar association despite not reaching statistical significance.
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TRAF3 is positively correlated with favorable prognosis in breast cancer. ( a ) High TRAF3 mRNA expression levels are associated with better OS (Living vs. Diseased, Mann–Whitney U test), lower disease stage (Bonferroni correction), lower lymph node stage (N) (N0 vs. N1: p = 0.004, Bonferroni correction) and lower tumor stage (T) (T1 vs. T3: p = 0.019, Bonferroni correction) in the TCGA-BRCA cohort. ( b ) High TRAF3 mRNA expression presents with a statistically significant better OS ( p = 0.00405) and DMFS ( p = 0.00729) in the ER-negative breast cancer cohort employed by GOBO, with ER-positive disease presenting a similar association despite not reaching statistical significance.

Journal: International Journal of Molecular Sciences

Article Title: Dual Role of Cancer Epithelial-Specific TRAF3 in Regulating Breast Cancer Cell Survival and Lymphocyte Activity

doi: 10.3390/ijms27104414

Figure Lengend Snippet: TRAF3 is positively correlated with favorable prognosis in breast cancer. ( a ) High TRAF3 mRNA expression levels are associated with better OS (Living vs. Diseased, Mann–Whitney U test), lower disease stage (Bonferroni correction), lower lymph node stage (N) (N0 vs. N1: p = 0.004, Bonferroni correction) and lower tumor stage (T) (T1 vs. T3: p = 0.019, Bonferroni correction) in the TCGA-BRCA cohort. ( b ) High TRAF3 mRNA expression presents with a statistically significant better OS ( p = 0.00405) and DMFS ( p = 0.00729) in the ER-negative breast cancer cohort employed by GOBO, with ER-positive disease presenting a similar association despite not reaching statistical significance.

Article Snippet: The TRAF3 coding sequence was amplified from a pCMV6-TRAF3-GFP (RG210417, Origene, Rockville, MD, USA) vector and cloned into pLenti-EF1a-GFP-2A-Puro (LV067, ABM Inc, Richmond, BC, Canada).

Techniques: Expressing, MANN-WHITNEY

Forced TRAF3 expression in breast cancer cell lines induces partial EMT and affects cell proliferation. ( a ) Invasion, migration and colony formation assays depicting an opposing phenotype between migratory and proliferative states of MCF7-TRAF3 cells. ( b ) Western blot analyses for the indicated proteins in MDA-MB-231 and MCF-7 cells (control and TRAF3 expressing). ( c ) ICC for the indicated proteins in MCF-7 cells, indicating significant downregulation of key molecules upon TRAF3 expression (ns: no significance; *** p < 0.001 Student’s t -test).

Journal: International Journal of Molecular Sciences

Article Title: Dual Role of Cancer Epithelial-Specific TRAF3 in Regulating Breast Cancer Cell Survival and Lymphocyte Activity

doi: 10.3390/ijms27104414

Figure Lengend Snippet: Forced TRAF3 expression in breast cancer cell lines induces partial EMT and affects cell proliferation. ( a ) Invasion, migration and colony formation assays depicting an opposing phenotype between migratory and proliferative states of MCF7-TRAF3 cells. ( b ) Western blot analyses for the indicated proteins in MDA-MB-231 and MCF-7 cells (control and TRAF3 expressing). ( c ) ICC for the indicated proteins in MCF-7 cells, indicating significant downregulation of key molecules upon TRAF3 expression (ns: no significance; *** p < 0.001 Student’s t -test).

Article Snippet: The TRAF3 coding sequence was amplified from a pCMV6-TRAF3-GFP (RG210417, Origene, Rockville, MD, USA) vector and cloned into pLenti-EF1a-GFP-2A-Puro (LV067, ABM Inc, Richmond, BC, Canada).

Techniques: Expressing, Migration, Western Blot, Control

Identification of interactors, pathways and processes of TRAF3 in breast cancer. ( a ) Volcano plot of significant TRAF3 interactions in MCF-7 cells (FDR < 0.05). ( b ) Top 20 enriched pathways (Metascape) among proteins that interact with TRAF3 in MCF-7 cells with −log10(Padj) > 10 −20 . ( c ) Significantly enriched pathways among genes co-expressed with TRAF3 in the TCGA BRCA cohort. ( d ) Representative BRCA cases from the TCGA cohort presenting with High and Low TILs (upper panel). High TRAF3 mRNA expression is correlated ( p = 0.02, Mann–Whitney U Test) with High stromal TILs in the TCGA BRCA cohort ( n = 200).

Journal: International Journal of Molecular Sciences

Article Title: Dual Role of Cancer Epithelial-Specific TRAF3 in Regulating Breast Cancer Cell Survival and Lymphocyte Activity

doi: 10.3390/ijms27104414

Figure Lengend Snippet: Identification of interactors, pathways and processes of TRAF3 in breast cancer. ( a ) Volcano plot of significant TRAF3 interactions in MCF-7 cells (FDR < 0.05). ( b ) Top 20 enriched pathways (Metascape) among proteins that interact with TRAF3 in MCF-7 cells with −log10(Padj) > 10 −20 . ( c ) Significantly enriched pathways among genes co-expressed with TRAF3 in the TCGA BRCA cohort. ( d ) Representative BRCA cases from the TCGA cohort presenting with High and Low TILs (upper panel). High TRAF3 mRNA expression is correlated ( p = 0.02, Mann–Whitney U Test) with High stromal TILs in the TCGA BRCA cohort ( n = 200).

Article Snippet: The TRAF3 coding sequence was amplified from a pCMV6-TRAF3-GFP (RG210417, Origene, Rockville, MD, USA) vector and cloned into pLenti-EF1a-GFP-2A-Puro (LV067, ABM Inc, Richmond, BC, Canada).

Techniques: Expressing, MANN-WHITNEY

TRAF3 expression across cell populations in the scRNA human breast cancer dataset. ( a ) UMAP visualization of 81,389 quality-filtered single cells derived from the Breast Cancer Atlas, colored by cell type annotation. ( b ) Feature plot showing log-normalized TRAF3 expression projected onto the UMAP embedding. ( c ) Violin plots depicting log-normalized TRAF3 expression across each of the cell types. Statistical comparisons were performed using Wilcoxon rank-sum tests, comparing each cell type against all remaining cells, followed by Benjamini–Hochberg correction for multiple testing. Asterisks (*) indicate adj p -values < 0.05. ( d ) Volcano Plot of Differential expression of TRAF3 -positive ( TRAF3 +) vs. negative ( TRAF3 -) Cancer Epithelial (CE) cells. The x-axis represents the log 2 fold change of expression in TRAF3 -positive versus TRAF3 -negative cells, and the y-axis shows the −log 10 adjusted p -value (FDR). Points are colored according to FDR significance, while labels highlight specific immunologically relevant genes, colored according to the following categories: (i) Immunogenicity—Immunogenicity/Antigen Presentation; (ii) MHC-I—MHC class I pathway (CD8 + T-cell recognition); (iii) MHC-II—MHC class II (tumor-intrinsic or antigen-presenting cell mediated); (iv) Checkpoint—Checkpoint blockade/Immune Modulation; (v) Infiltration—Increase immune infiltration into tumors; and (vi) Non-self—Promote tumor cell recognition as “non-self”. Selected genes of interest not in the above categories are colored black (‘Other’ category). ( e ) Gene Ontology (GO) Enrichment Analysis of the filtered top DE genes (FDR < 0.05 & |log2FC| > 0.1) identified via differential expression analysis between TRAF3 + and TRAF3 -cancer epithelial (CE) cells. X-axis represents the Fold Enrichment, and y-axis represents the immune-related Biological Process and Molecular Function GO terms, grouped into clusters based on functional similarity (for the full GO term graph with all the immune and non-immune related GO terms, see ). Dot size is analogous to the number of specific genes associated with each GO term, while their color gradient corresponds to the FDR-adjusted p -value (Q value). Abbreviations used include the following: CE (Cancer Epithelial cells), NE (Normal Epithelial cells), PVL (PeriVascular-Like cells), CAFs (Cancer-Associated Fibroblasts), PR (Positive Regulation), R (Regulation), prd (production), MM (Molecular Mediator), MBP (Macromolecule Biosynthetic Process), MMP (Macromolecule Metabolic Process), CR (Cellular Response), env/tal (environmental), RSP (receptor signaling pathway), SP (signaling pathway), resp. (response), ext. (external), and If-M (interferon-mediated).

Journal: International Journal of Molecular Sciences

Article Title: Dual Role of Cancer Epithelial-Specific TRAF3 in Regulating Breast Cancer Cell Survival and Lymphocyte Activity

doi: 10.3390/ijms27104414

Figure Lengend Snippet: TRAF3 expression across cell populations in the scRNA human breast cancer dataset. ( a ) UMAP visualization of 81,389 quality-filtered single cells derived from the Breast Cancer Atlas, colored by cell type annotation. ( b ) Feature plot showing log-normalized TRAF3 expression projected onto the UMAP embedding. ( c ) Violin plots depicting log-normalized TRAF3 expression across each of the cell types. Statistical comparisons were performed using Wilcoxon rank-sum tests, comparing each cell type against all remaining cells, followed by Benjamini–Hochberg correction for multiple testing. Asterisks (*) indicate adj p -values < 0.05. ( d ) Volcano Plot of Differential expression of TRAF3 -positive ( TRAF3 +) vs. negative ( TRAF3 -) Cancer Epithelial (CE) cells. The x-axis represents the log 2 fold change of expression in TRAF3 -positive versus TRAF3 -negative cells, and the y-axis shows the −log 10 adjusted p -value (FDR). Points are colored according to FDR significance, while labels highlight specific immunologically relevant genes, colored according to the following categories: (i) Immunogenicity—Immunogenicity/Antigen Presentation; (ii) MHC-I—MHC class I pathway (CD8 + T-cell recognition); (iii) MHC-II—MHC class II (tumor-intrinsic or antigen-presenting cell mediated); (iv) Checkpoint—Checkpoint blockade/Immune Modulation; (v) Infiltration—Increase immune infiltration into tumors; and (vi) Non-self—Promote tumor cell recognition as “non-self”. Selected genes of interest not in the above categories are colored black (‘Other’ category). ( e ) Gene Ontology (GO) Enrichment Analysis of the filtered top DE genes (FDR < 0.05 & |log2FC| > 0.1) identified via differential expression analysis between TRAF3 + and TRAF3 -cancer epithelial (CE) cells. X-axis represents the Fold Enrichment, and y-axis represents the immune-related Biological Process and Molecular Function GO terms, grouped into clusters based on functional similarity (for the full GO term graph with all the immune and non-immune related GO terms, see ). Dot size is analogous to the number of specific genes associated with each GO term, while their color gradient corresponds to the FDR-adjusted p -value (Q value). Abbreviations used include the following: CE (Cancer Epithelial cells), NE (Normal Epithelial cells), PVL (PeriVascular-Like cells), CAFs (Cancer-Associated Fibroblasts), PR (Positive Regulation), R (Regulation), prd (production), MM (Molecular Mediator), MBP (Macromolecule Biosynthetic Process), MMP (Macromolecule Metabolic Process), CR (Cellular Response), env/tal (environmental), RSP (receptor signaling pathway), SP (signaling pathway), resp. (response), ext. (external), and If-M (interferon-mediated).

Article Snippet: The TRAF3 coding sequence was amplified from a pCMV6-TRAF3-GFP (RG210417, Origene, Rockville, MD, USA) vector and cloned into pLenti-EF1a-GFP-2A-Puro (LV067, ABM Inc, Richmond, BC, Canada).

Techniques: Expressing, Derivative Assay, Quantitative Proteomics, Immunopeptidomics, Functional Assay

TRAF3 expression in cancer cells affects PBMC subpopulations and cytokine expression. ( a ) FACs analysis of PBMCs co-cultured with MCF7-TRAF3 cells indicates the downregulation of the CD25+CD127low (Tregs) subpopulation of CD4+ T cells. ( b ) FACS analysis of PBMCs co-cultured with MCF7-TRAF3 cells indicates the upregulation of the CD56+CD16- subpopulation of NK-cells. ( c ) Diagrams depicting absolute quantification of IFN-γ, TNF-α and IL-10 in the supernatants of co-cultured PBMCs/MCF7-TRAF3 cells. ( d ) FACs analysis for live/dead MCF-7 breast cancer cells co-cultured with PBMCs depicting a shift from alive to dead cells in the MCF7-TRAF3 cell population in comparison to MCF7-control cells. ( e ) IHC stain for PD-L1 (CD274) on MCF7-control and MCF7-TRAF3. Arrowheads depict PD-L1 expression only on MCF7-control cells. ( f ) Schematic illustration of a proposed model of TRAF3 action in breast cancer epithelial cells and on the surrounding tumor microenvironmental cells.

Journal: International Journal of Molecular Sciences

Article Title: Dual Role of Cancer Epithelial-Specific TRAF3 in Regulating Breast Cancer Cell Survival and Lymphocyte Activity

doi: 10.3390/ijms27104414

Figure Lengend Snippet: TRAF3 expression in cancer cells affects PBMC subpopulations and cytokine expression. ( a ) FACs analysis of PBMCs co-cultured with MCF7-TRAF3 cells indicates the downregulation of the CD25+CD127low (Tregs) subpopulation of CD4+ T cells. ( b ) FACS analysis of PBMCs co-cultured with MCF7-TRAF3 cells indicates the upregulation of the CD56+CD16- subpopulation of NK-cells. ( c ) Diagrams depicting absolute quantification of IFN-γ, TNF-α and IL-10 in the supernatants of co-cultured PBMCs/MCF7-TRAF3 cells. ( d ) FACs analysis for live/dead MCF-7 breast cancer cells co-cultured with PBMCs depicting a shift from alive to dead cells in the MCF7-TRAF3 cell population in comparison to MCF7-control cells. ( e ) IHC stain for PD-L1 (CD274) on MCF7-control and MCF7-TRAF3. Arrowheads depict PD-L1 expression only on MCF7-control cells. ( f ) Schematic illustration of a proposed model of TRAF3 action in breast cancer epithelial cells and on the surrounding tumor microenvironmental cells.

Article Snippet: The TRAF3 coding sequence was amplified from a pCMV6-TRAF3-GFP (RG210417, Origene, Rockville, MD, USA) vector and cloned into pLenti-EF1a-GFP-2A-Puro (LV067, ABM Inc, Richmond, BC, Canada).

Techniques: Expressing, Cell Culture, Quantitative Proteomics, Comparison, Control, Staining