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Anhui Medical University breast tissue
Breast Tissue, supplied by Anhui Medical University, 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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Stacked bar graphs showing the percentage of reads in each sample assigned to different RNA biotypes (Ensembl GRCh38 Release 93). ( A ) Major RNA biotype categories excluding rRNA. ( B ) sncRNA categories. ( C ) Repeat-element <t>RNAs</t> categories. ( D ) Different regions of protein-coding genes, including introns, coding sequences (CDSs), and untranslated exon regions (UTRs). ( E ) Protein-coding gene antisense and sense strands. Sample types (FFPE tumors, frozen neighboring healthy breast tissue, <t>frozen</t> <t>non-IBC</t> tumors, PBMCs, or plasma), with disease status (healthy, non-IBC, or IBC), are indicated above. Sample names corresponding to healthy donor or patient ID numbers are indicated below (H, healthy; B, non-IBC; I, IBC). Paired Wilcoxon signed-rank test results for differences in biotype read distributions between sample types can be found in the data file S2.
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Overexpression of DNPH1 in human breast tumors (A) DNPH1 mRNA expression in various breast cancer subtypes was analyzed in published <t>microarray</t> data. Mean with standard deviation and statistical significance compared to normal breast tissue are indicated; ∗∗∗∗, p < 0.0001 (one-way ANOVA, Tukey’s multiple comparisons test). (B) High (top quartile) DNPH1 mRNA levels predict reduced survival. Data derived from published microarray experiments ; p < 0.0001 (log rank test). (C) DNPH1 protein expression in human breast cell lines assayed by Western blotting. (D) Examples of immunohistochemical staining with DNPH1 antibodies on matching normal and cancerous breast tissue. Scale bars, 0.1 mm. (E) DNPH1 protein expression was measured by immunohistochemistry in 20 matching normal and cancerous human breast tissues; two-tailed, paired t test.
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Overexpression of DNPH1 in human breast tumors (A) DNPH1 mRNA expression in various breast cancer subtypes was analyzed in published <t>microarray</t> data. Mean with standard deviation and statistical significance compared to normal breast tissue are indicated; ∗∗∗∗, p < 0.0001 (one-way ANOVA, Tukey’s multiple comparisons test). (B) High (top quartile) DNPH1 mRNA levels predict reduced survival. Data derived from published microarray experiments ; p < 0.0001 (log rank test). (C) DNPH1 protein expression in human breast cell lines assayed by Western blotting. (D) Examples of immunohistochemical staining with DNPH1 antibodies on matching normal and cancerous breast tissue. Scale bars, 0.1 mm. (E) DNPH1 protein expression was measured by immunohistochemistry in 20 matching normal and cancerous human breast tissues; two-tailed, paired t test.
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ARTS is predominantly expressed in resistant <t>breast</t> <t>cancer</t> <t>tissues</t> and promotes chemoresistance in breast cancer cells. (A) Screening workflow for chemoresistance-related genes in breast cancer. DEGs from GSE288073 are shown in a volcano plot, followed by overlap with apoptosis-related and mitochondria-related gene sets, yielding 12 DEGs; ARTS was prioritized and evaluated by Kaplan–Meier survival analysis for postchemotherapy prognosis. FPKM, fragments per kilobase of transcript per million mapped reads. (B) Representative hematoxylin and eosin (H&E) and IHC images of ARTS in paired pre- and post-NAC samples from NAC-sensitive and NAC-resistant patients. The black arrow indicates a residual small cluster of tumor cells. Scale bar, 50 μm. (C) Association of ARTS protein with MPG score and Ki-67 in pre- and post-NAC samples. (D) Kaplan–Meier analyses of OS and RFS stratified by ARTS protein (low versus high). (E and F) MTT and (G and H) colony formation assays in sh-Ctrl versus sh-ARTS MDA-MB-231 and Flag versus Flag–ARTS MCF-7 cells under the indicated treatments. * P < 0.05; *** P < 0.001. ns, not significant.
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Stacked bar graphs showing the percentage of reads in each sample assigned to different RNA biotypes (Ensembl GRCh38 Release 93). ( A ) Major RNA biotype categories excluding rRNA. ( B ) sncRNA categories. ( C ) Repeat-element RNAs categories. ( D ) Different regions of protein-coding genes, including introns, coding sequences (CDSs), and untranslated exon regions (UTRs). ( E ) Protein-coding gene antisense and sense strands. Sample types (FFPE tumors, frozen neighboring healthy breast tissue, frozen non-IBC tumors, PBMCs, or plasma), with disease status (healthy, non-IBC, or IBC), are indicated above. Sample names corresponding to healthy donor or patient ID numbers are indicated below (H, healthy; B, non-IBC; I, IBC). Paired Wilcoxon signed-rank test results for differences in biotype read distributions between sample types can be found in the data file S2.

Journal: Science Advances

Article Title: Pervasive enhanced transcription in inflammatory breast cancer tumors and PBMCs impacts RNA splicing and intronic RNAs in plasma

doi: 10.1126/sciadv.adu0031

Figure Lengend Snippet: Stacked bar graphs showing the percentage of reads in each sample assigned to different RNA biotypes (Ensembl GRCh38 Release 93). ( A ) Major RNA biotype categories excluding rRNA. ( B ) sncRNA categories. ( C ) Repeat-element RNAs categories. ( D ) Different regions of protein-coding genes, including introns, coding sequences (CDSs), and untranslated exon regions (UTRs). ( E ) Protein-coding gene antisense and sense strands. Sample types (FFPE tumors, frozen neighboring healthy breast tissue, frozen non-IBC tumors, PBMCs, or plasma), with disease status (healthy, non-IBC, or IBC), are indicated above. Sample names corresponding to healthy donor or patient ID numbers are indicated below (H, healthy; B, non-IBC; I, IBC). Paired Wilcoxon signed-rank test results for differences in biotype read distributions between sample types can be found in the data file S2.

Article Snippet: Frozen-matched tumor and normal breast tissue RNAs from four deidentified patients with non-IBC were purchased from OriGene ( CR525106 , CR560146 , CR520829 , and CR561033 ).

Techniques: Clinical Proteomics

( A ) IDR analysis. Each point indicates the fraction of intron-derived reads for a protein-coding gene in IBC FFPE tumor samples [ y axis, −log 10 (1 − y ) scaling] compared to that of intronic bases in its genomic annotation [ x axis, −log 10 (1 − x ) scaling]. Points are colored by their log 10 -transformed length in base pairs of the genomic interval encoding the gene (exons plus introns): Longer genomic intervals tend to be associated with relatively high genomic intron fractions, evident from the color gradient from left to right. The black line indicates equality y = x , corresponding to the set of points representing genes with IDR = 1; points above or below this line represent genes with IDRs greater or less than 1, respectively. The red trend line plots the solution to the IDR equation (Materials and Methods) when applied to data for all genes, yielding a typical IDR value of ~0.19. ( B ) Upset plots showing the number of genes with IDRs between 0.5 and 1 (top) and IDRs ≥ 1 (bottom) in combined datasets indicated to the right of the plots. ( C ) IGV plots for representative protein-coding genes from combined IBC FFPE tumor datasets. Horizontal arrows for gene maps above the IGV plots indicate the 5′ to 3′ orientation of the gene. Tracks of Ensembl-annotated protein-coding gene exons (short vertical lines) and introns (horizontal lines) and RepBase-annotated Repeat-element RNAs (Rep) are shown on the top. The numbers of reads that mapped to the top (T) or bottom (B) strands are indicated to the right of the IGV plots for each strand. Type I to IV genes are defined in Results and classified into different categories as described in Materials and Methods. Density plots for skewness of intron body coverage are shown as red dashed lines. Asterisks indicate protein-coding genes with IDR > 0.5. Percentages of intron nucleotides corresponding to Repeat-element RNAs are indicated by the arrowhead pointing up to the Rep element track. Percentages of intron reads mapped to Repeat-element RNAs are indicated by the arrowhead pointing down to the IGV plot of mapped reads.

Journal: Science Advances

Article Title: Pervasive enhanced transcription in inflammatory breast cancer tumors and PBMCs impacts RNA splicing and intronic RNAs in plasma

doi: 10.1126/sciadv.adu0031

Figure Lengend Snippet: ( A ) IDR analysis. Each point indicates the fraction of intron-derived reads for a protein-coding gene in IBC FFPE tumor samples [ y axis, −log 10 (1 − y ) scaling] compared to that of intronic bases in its genomic annotation [ x axis, −log 10 (1 − x ) scaling]. Points are colored by their log 10 -transformed length in base pairs of the genomic interval encoding the gene (exons plus introns): Longer genomic intervals tend to be associated with relatively high genomic intron fractions, evident from the color gradient from left to right. The black line indicates equality y = x , corresponding to the set of points representing genes with IDR = 1; points above or below this line represent genes with IDRs greater or less than 1, respectively. The red trend line plots the solution to the IDR equation (Materials and Methods) when applied to data for all genes, yielding a typical IDR value of ~0.19. ( B ) Upset plots showing the number of genes with IDRs between 0.5 and 1 (top) and IDRs ≥ 1 (bottom) in combined datasets indicated to the right of the plots. ( C ) IGV plots for representative protein-coding genes from combined IBC FFPE tumor datasets. Horizontal arrows for gene maps above the IGV plots indicate the 5′ to 3′ orientation of the gene. Tracks of Ensembl-annotated protein-coding gene exons (short vertical lines) and introns (horizontal lines) and RepBase-annotated Repeat-element RNAs (Rep) are shown on the top. The numbers of reads that mapped to the top (T) or bottom (B) strands are indicated to the right of the IGV plots for each strand. Type I to IV genes are defined in Results and classified into different categories as described in Materials and Methods. Density plots for skewness of intron body coverage are shown as red dashed lines. Asterisks indicate protein-coding genes with IDR > 0.5. Percentages of intron nucleotides corresponding to Repeat-element RNAs are indicated by the arrowhead pointing up to the Rep element track. Percentages of intron reads mapped to Repeat-element RNAs are indicated by the arrowhead pointing down to the IGV plot of mapped reads.

Article Snippet: Frozen-matched tumor and normal breast tissue RNAs from four deidentified patients with non-IBC were purchased from OriGene ( CR525106 , CR560146 , CR520829 , and CR561033 ).

Techniques: Derivative Assay, Transformation Assay

Tiles are colored by expression difference relative to the gene-wise mean taken across all PBMC samples, as in above. The significantly overexpressed genes shown in the heatmap (adj. P ≤ 0.001 and LFC ≥ 2) are limited to those detected in half or more of the IBC samples. Lanes are labeled at the bottom according to healthy donor and patient ID numbers (table S1). miRNAs mapping to the hairpin miRNA reference were categorized as: m, mature miRNAs, if reads were ≤ 2 nucleotides shorter or longer than the annotated mature miRNA sequence; pre, pre-miRNAs if reads were derived from pre-miRNA only, including relatively long RNAs that were derived from pre-miRNA but shorter than the annotated hairpin sequence; or m + pre, if reads were derived from both mature and pre-miRNAs. Examples of reads for different categories of miRNAs are shown in IGV alignments in fig. S7, D and E. Protein-coding and lncRNA genes with IDR > 0.5 are marked with an asterisk.

Journal: Science Advances

Article Title: Pervasive enhanced transcription in inflammatory breast cancer tumors and PBMCs impacts RNA splicing and intronic RNAs in plasma

doi: 10.1126/sciadv.adu0031

Figure Lengend Snippet: Tiles are colored by expression difference relative to the gene-wise mean taken across all PBMC samples, as in above. The significantly overexpressed genes shown in the heatmap (adj. P ≤ 0.001 and LFC ≥ 2) are limited to those detected in half or more of the IBC samples. Lanes are labeled at the bottom according to healthy donor and patient ID numbers (table S1). miRNAs mapping to the hairpin miRNA reference were categorized as: m, mature miRNAs, if reads were ≤ 2 nucleotides shorter or longer than the annotated mature miRNA sequence; pre, pre-miRNAs if reads were derived from pre-miRNA only, including relatively long RNAs that were derived from pre-miRNA but shorter than the annotated hairpin sequence; or m + pre, if reads were derived from both mature and pre-miRNAs. Examples of reads for different categories of miRNAs are shown in IGV alignments in fig. S7, D and E. Protein-coding and lncRNA genes with IDR > 0.5 are marked with an asterisk.

Article Snippet: Frozen-matched tumor and normal breast tissue RNAs from four deidentified patients with non-IBC were purchased from OriGene ( CR525106 , CR560146 , CR520829 , and CR561033 ).

Techniques: Expressing, Labeling, Sequencing, Derivative Assay

( A to C ) Heatmaps for the indicated sample and RNA comparisons. Tiles are colored by expression differences relative to the corresponding gene-wise means taken across all plasma samples. Lanes are labeled at the bottom according to the healthy donor and patient ID numbers (table S1). miRNAs mapping to the hairpin miRNA reference were categorized as: m, mature miRNAs, if reads were 1 or 2 nucleotides shorter or longer than the annotated mature miRNA sequence. ( D ) IGV plots of overrepresented genes in healthy or non-IBC plasma compared to IBC plasma. T and B, top and bottom DNA strands, respectively. The number of reads for RNAs in each IGV plot is indicated to the right. ( E ) Stacked bar graphs showing the percentage of bases in reads mapped to CDSs, UTRs, introns, or intergenic regions for all protein-coding genes detected in the indicated plasma samples (left three bars) or for significantly overrepresented protein-coding genes (adj. P ≤ 0.001 and LFC ≥ 2) detected in ≥50% of the indicated plasma samples (right four bars).

Journal: Science Advances

Article Title: Pervasive enhanced transcription in inflammatory breast cancer tumors and PBMCs impacts RNA splicing and intronic RNAs in plasma

doi: 10.1126/sciadv.adu0031

Figure Lengend Snippet: ( A to C ) Heatmaps for the indicated sample and RNA comparisons. Tiles are colored by expression differences relative to the corresponding gene-wise means taken across all plasma samples. Lanes are labeled at the bottom according to the healthy donor and patient ID numbers (table S1). miRNAs mapping to the hairpin miRNA reference were categorized as: m, mature miRNAs, if reads were 1 or 2 nucleotides shorter or longer than the annotated mature miRNA sequence. ( D ) IGV plots of overrepresented genes in healthy or non-IBC plasma compared to IBC plasma. T and B, top and bottom DNA strands, respectively. The number of reads for RNAs in each IGV plot is indicated to the right. ( E ) Stacked bar graphs showing the percentage of bases in reads mapped to CDSs, UTRs, introns, or intergenic regions for all protein-coding genes detected in the indicated plasma samples (left three bars) or for significantly overrepresented protein-coding genes (adj. P ≤ 0.001 and LFC ≥ 2) detected in ≥50% of the indicated plasma samples (right four bars).

Article Snippet: Frozen-matched tumor and normal breast tissue RNAs from four deidentified patients with non-IBC were purchased from OriGene ( CR525106 , CR560146 , CR520829 , and CR561033 ).

Techniques: Expressing, Clinical Proteomics, Labeling, Sequencing

( A ) Average abundance based on DESeq2 normalized counts for each gene whose RNAs were detected in plasma samples plotted against its average normalized expression level for RNAs in non-IBC or IBC patient FFPE tumors samples (left two columns) or healthy donor, non-IBC patient, or IBC patient PBMC samples (right three columns) for reads mapped to exons + introns (top row), exons only (middle row), or introns only (bottom row). Each point represents a single gene, colored according to its binned IDR values in FFPE tumor or PBMC samples, with color codes shown on the top right plot. Generalized additive model trendlines are fit for each group of IDR-binned genes, with 95% confidence intervals based on SE estimates indicated by the ribbons around the trendlines. The trendlines show separation of gene sets with different IDRs and particularly for the region around 5 on the x axis in each panel, with high-IDR genes (red points and trendlines) tending to show higher average plasma enrichment than lower-IDR genes with similar FFPE tumor or PBMC expression levels. Solid lines represent trends calculated from genes ≤100 kb and dashed lines for genes >100 kb. ( B ) Same comparisons as in (A) with points colored according to selected Hallmark gene sets with color codes shown on the top right plot. Generalized additive model trendlines are fit for each group of IDR-binned genes, with 95% confidence intervals based on SE estimates indicated by the ribbons around the trendlines.

Journal: Science Advances

Article Title: Pervasive enhanced transcription in inflammatory breast cancer tumors and PBMCs impacts RNA splicing and intronic RNAs in plasma

doi: 10.1126/sciadv.adu0031

Figure Lengend Snippet: ( A ) Average abundance based on DESeq2 normalized counts for each gene whose RNAs were detected in plasma samples plotted against its average normalized expression level for RNAs in non-IBC or IBC patient FFPE tumors samples (left two columns) or healthy donor, non-IBC patient, or IBC patient PBMC samples (right three columns) for reads mapped to exons + introns (top row), exons only (middle row), or introns only (bottom row). Each point represents a single gene, colored according to its binned IDR values in FFPE tumor or PBMC samples, with color codes shown on the top right plot. Generalized additive model trendlines are fit for each group of IDR-binned genes, with 95% confidence intervals based on SE estimates indicated by the ribbons around the trendlines. The trendlines show separation of gene sets with different IDRs and particularly for the region around 5 on the x axis in each panel, with high-IDR genes (red points and trendlines) tending to show higher average plasma enrichment than lower-IDR genes with similar FFPE tumor or PBMC expression levels. Solid lines represent trends calculated from genes ≤100 kb and dashed lines for genes >100 kb. ( B ) Same comparisons as in (A) with points colored according to selected Hallmark gene sets with color codes shown on the top right plot. Generalized additive model trendlines are fit for each group of IDR-binned genes, with 95% confidence intervals based on SE estimates indicated by the ribbons around the trendlines.

Article Snippet: Frozen-matched tumor and normal breast tissue RNAs from four deidentified patients with non-IBC were purchased from OriGene ( CR525106 , CR560146 , CR520829 , and CR561033 ).

Techniques: Clinical Proteomics, Expressing

Overexpression of DNPH1 in human breast tumors (A) DNPH1 mRNA expression in various breast cancer subtypes was analyzed in published microarray data. Mean with standard deviation and statistical significance compared to normal breast tissue are indicated; ∗∗∗∗, p < 0.0001 (one-way ANOVA, Tukey’s multiple comparisons test). (B) High (top quartile) DNPH1 mRNA levels predict reduced survival. Data derived from published microarray experiments ; p < 0.0001 (log rank test). (C) DNPH1 protein expression in human breast cell lines assayed by Western blotting. (D) Examples of immunohistochemical staining with DNPH1 antibodies on matching normal and cancerous breast tissue. Scale bars, 0.1 mm. (E) DNPH1 protein expression was measured by immunohistochemistry in 20 matching normal and cancerous human breast tissues; two-tailed, paired t test.

Journal: iScience

Article Title: Promotion of breast cancer by the DNPH1 enzyme

doi: 10.1016/j.isci.2026.115227

Figure Lengend Snippet: Overexpression of DNPH1 in human breast tumors (A) DNPH1 mRNA expression in various breast cancer subtypes was analyzed in published microarray data. Mean with standard deviation and statistical significance compared to normal breast tissue are indicated; ∗∗∗∗, p < 0.0001 (one-way ANOVA, Tukey’s multiple comparisons test). (B) High (top quartile) DNPH1 mRNA levels predict reduced survival. Data derived from published microarray experiments ; p < 0.0001 (log rank test). (C) DNPH1 protein expression in human breast cell lines assayed by Western blotting. (D) Examples of immunohistochemical staining with DNPH1 antibodies on matching normal and cancerous breast tissue. Scale bars, 0.1 mm. (E) DNPH1 protein expression was measured by immunohistochemistry in 20 matching normal and cancerous human breast tissues; two-tailed, paired t test.

Article Snippet: Human breast tissue microarray , ISU Abxis , A312.

Techniques: Over Expression, Expressing, Microarray, Standard Deviation, Derivative Assay, Western Blot, Immunohistochemical staining, Staining, Immunohistochemistry, Two Tailed Test

ARTS is predominantly expressed in resistant breast cancer tissues and promotes chemoresistance in breast cancer cells. (A) Screening workflow for chemoresistance-related genes in breast cancer. DEGs from GSE288073 are shown in a volcano plot, followed by overlap with apoptosis-related and mitochondria-related gene sets, yielding 12 DEGs; ARTS was prioritized and evaluated by Kaplan–Meier survival analysis for postchemotherapy prognosis. FPKM, fragments per kilobase of transcript per million mapped reads. (B) Representative hematoxylin and eosin (H&E) and IHC images of ARTS in paired pre- and post-NAC samples from NAC-sensitive and NAC-resistant patients. The black arrow indicates a residual small cluster of tumor cells. Scale bar, 50 μm. (C) Association of ARTS protein with MPG score and Ki-67 in pre- and post-NAC samples. (D) Kaplan–Meier analyses of OS and RFS stratified by ARTS protein (low versus high). (E and F) MTT and (G and H) colony formation assays in sh-Ctrl versus sh-ARTS MDA-MB-231 and Flag versus Flag–ARTS MCF-7 cells under the indicated treatments. * P < 0.05; *** P < 0.001. ns, not significant.

Journal: Research

Article Title: ARTS Confers Chemoresistance of Breast Cancer by Inducing Apoptosis-Dependent Autophagy via Livin–MDM2–p53 Pathway

doi: 10.34133/research.1086

Figure Lengend Snippet: ARTS is predominantly expressed in resistant breast cancer tissues and promotes chemoresistance in breast cancer cells. (A) Screening workflow for chemoresistance-related genes in breast cancer. DEGs from GSE288073 are shown in a volcano plot, followed by overlap with apoptosis-related and mitochondria-related gene sets, yielding 12 DEGs; ARTS was prioritized and evaluated by Kaplan–Meier survival analysis for postchemotherapy prognosis. FPKM, fragments per kilobase of transcript per million mapped reads. (B) Representative hematoxylin and eosin (H&E) and IHC images of ARTS in paired pre- and post-NAC samples from NAC-sensitive and NAC-resistant patients. The black arrow indicates a residual small cluster of tumor cells. Scale bar, 50 μm. (C) Association of ARTS protein with MPG score and Ki-67 in pre- and post-NAC samples. (D) Kaplan–Meier analyses of OS and RFS stratified by ARTS protein (low versus high). (E and F) MTT and (G and H) colony formation assays in sh-Ctrl versus sh-ARTS MDA-MB-231 and Flag versus Flag–ARTS MCF-7 cells under the indicated treatments. * P < 0.05; *** P < 0.001. ns, not significant.

Article Snippet: Human breast cancer tissue samples were obtained from the First Affiliated Hospital of Anhui Medical University (Hefei, Anhui, China).

Techniques: