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Biotechnology Information mrna expression microarray chip data
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Microarray:

Article Title: E2F1 mediated DDX11 transcriptional activation promotes hepatocellular carcinoma progression through PI3K/AKT/mTOR pathway
Article Snippet: .. Seven liver cancer mRNA microarray datasets accompanied with scientific publications were gathered and analyzed through the Gene Expression Omnibus (GEO) of the National Center for Biotechnology Information (NCBI). ..

Article Title: CTNNBIP1 modulates keratinocyte proliferation through promoting the transcription of β-catenin/TCF complex downstream genes.
Article Snippet: Background During psoriasis initiation and development, deregulations in signalling pathways and gene expression are observed.. Methods Herein, we downloaded seven sets of microarray mRNA expression profiles showing differentially expressed genes in psoriasis lesion skin and non-lesion skin tissues and three sets of RNA-seq data and analysed these online data attempting to screen for crucial genes related to keratinocyte proliferation and psoriasis development.. The expression of CTNNBIP1 in psoriasis patients and IMQ mouse model skin tissues were examined by RT-PCR, immunoblotting and IHC.

Article Title: Lipid-injured hepatocytes release sOPN to improve macrophage migration via CD44 engagement and pFak-NFκB signaling.
Article Snippet: Background: The key characteristics in the pathogenesis of nonalcoholic steatohepatitis (NASH) are hepatic lipotoxicity, inflammatory cell infiltration (activated macrophages, in part), and varying degrees of fibrosis.. The fatty acid palmitate (PA) can cause hepatocyte cellular dysfunction, but whether and how this process contributes to macrophage-associated inflammation is not well understood.. This study aimed to explore whether lipid-injured hepatocytes result in the secretion of osteopontin (sOPN), and how sOPN induces macrophage migration to steatosis hepatocytes.

Gene Expression:

Article Title: E2F1 mediated DDX11 transcriptional activation promotes hepatocellular carcinoma progression through PI3K/AKT/mTOR pathway
Article Snippet: .. Seven liver cancer mRNA microarray datasets accompanied with scientific publications were gathered and analyzed through the Gene Expression Omnibus (GEO) of the National Center for Biotechnology Information (NCBI). ..

Article Title: CTNNBIP1 modulates keratinocyte proliferation through promoting the transcription of β-catenin/TCF complex downstream genes.
Article Snippet: Background During psoriasis initiation and development, deregulations in signalling pathways and gene expression are observed.. Methods Herein, we downloaded seven sets of microarray mRNA expression profiles showing differentially expressed genes in psoriasis lesion skin and non-lesion skin tissues and three sets of RNA-seq data and analysed these online data attempting to screen for crucial genes related to keratinocyte proliferation and psoriasis development.. The expression of CTNNBIP1 in psoriasis patients and IMQ mouse model skin tissues were examined by RT-PCR, immunoblotting and IHC.

Article Title: Enhancing pathological complete response prediction in breast cancer: the role of dynamic characterization of DCE-MRI and its association with tumor heterogeneity
Article Snippet: .. To examine whether the dynamic model can reflect tumor heterogeneity and its association with gene expression, we collected paired total mRNA expression data from National Center for Biotechnology Information (NCBI) [ ]. ..

Article Title: Lipid-injured hepatocytes release sOPN to improve macrophage migration via CD44 engagement and pFak-NFκB signaling.
Article Snippet: Background: The key characteristics in the pathogenesis of nonalcoholic steatohepatitis (NASH) are hepatic lipotoxicity, inflammatory cell infiltration (activated macrophages, in part), and varying degrees of fibrosis.. The fatty acid palmitate (PA) can cause hepatocyte cellular dysfunction, but whether and how this process contributes to macrophage-associated inflammation is not well understood.. This study aimed to explore whether lipid-injured hepatocytes result in the secretion of osteopontin (sOPN), and how sOPN induces macrophage migration to steatosis hepatocytes.

Expressing:

Article Title: A chronotherapeutics-applicable multi-target therapeutics based on AI: Example of therapeutic hypothermia
Article Snippet: .. We retrieved the original data of mRNA expression under hypothermia treatment from the website of the National Center for Biotechnology Information (GSE54229). ..

Article Title: CTNNBIP1 modulates keratinocyte proliferation through promoting the transcription of β-catenin/TCF complex downstream genes.
Article Snippet: Background During psoriasis initiation and development, deregulations in signalling pathways and gene expression are observed.. Methods Herein, we downloaded seven sets of microarray mRNA expression profiles showing differentially expressed genes in psoriasis lesion skin and non-lesion skin tissues and three sets of RNA-seq data and analysed these online data attempting to screen for crucial genes related to keratinocyte proliferation and psoriasis development.. The expression of CTNNBIP1 in psoriasis patients and IMQ mouse model skin tissues were examined by RT-PCR, immunoblotting and IHC.

Article Title: Enhancing pathological complete response prediction in breast cancer: the role of dynamic characterization of DCE-MRI and its association with tumor heterogeneity
Article Snippet: .. To examine whether the dynamic model can reflect tumor heterogeneity and its association with gene expression, we collected paired total mRNA expression data from National Center for Biotechnology Information (NCBI) [ ]. ..

Control:

Article Title: CTNNBIP1 modulates keratinocyte proliferation through promoting the transcription of β-catenin/TCF complex downstream genes.
Article Snippet: Background During psoriasis initiation and development, deregulations in signalling pathways and gene expression are observed.. Methods Herein, we downloaded seven sets of microarray mRNA expression profiles showing differentially expressed genes in psoriasis lesion skin and non-lesion skin tissues and three sets of RNA-seq data and analysed these online data attempting to screen for crucial genes related to keratinocyte proliferation and psoriasis development.. The expression of CTNNBIP1 in psoriasis patients and IMQ mouse model skin tissues were examined by RT-PCR, immunoblotting and IHC.

RNA Sequencing:

Article Title: CTNNBIP1 modulates keratinocyte proliferation through promoting the transcription of β-catenin/TCF complex downstream genes.
Article Snippet: Background During psoriasis initiation and development, deregulations in signalling pathways and gene expression are observed.. Methods Herein, we downloaded seven sets of microarray mRNA expression profiles showing differentially expressed genes in psoriasis lesion skin and non-lesion skin tissues and three sets of RNA-seq data and analysed these online data attempting to screen for crucial genes related to keratinocyte proliferation and psoriasis development.. The expression of CTNNBIP1 in psoriasis patients and IMQ mouse model skin tissues were examined by RT-PCR, immunoblotting and IHC.

Sequencing:

Article Title: CTNNBIP1 modulates keratinocyte proliferation through promoting the transcription of β-catenin/TCF complex downstream genes.
Article Snippet: Background During psoriasis initiation and development, deregulations in signalling pathways and gene expression are observed.. Methods Herein, we downloaded seven sets of microarray mRNA expression profiles showing differentially expressed genes in psoriasis lesion skin and non-lesion skin tissues and three sets of RNA-seq data and analysed these online data attempting to screen for crucial genes related to keratinocyte proliferation and psoriasis development.. The expression of CTNNBIP1 in psoriasis patients and IMQ mouse model skin tissues were examined by RT-PCR, immunoblotting and IHC.

other:

Article Title: Epigenetic inactivation of hydroxymethylglutaryl CoA synthase reduces ketogenesis and facilitates tumor cell motility in clear cell renal carcinoma.
Article Snippet: Previously, we have reported that the dysregulation of ketogenesis plays an important role in the carcinogenesis of clear cell renal cell carcinoma (ccRCC).. Here, we demonstrate decreased expression of the HMGCS2 gene in ccRCC, a critical enzyme for the synthesis of the ketone body β-hydroxybutyrate (β-OHB).. We found that the reduced transcription of the HMGCS2 gene in ccRCC cells was significantly correlated to a higher relative methylation rate in its promotor region.

Genome Wide:

Article Title: Lipid-injured hepatocytes release sOPN to improve macrophage migration via CD44 engagement and pFak-NFκB signaling.
Article Snippet: Background: The key characteristics in the pathogenesis of nonalcoholic steatohepatitis (NASH) are hepatic lipotoxicity, inflammatory cell infiltration (activated macrophages, in part), and varying degrees of fibrosis.. The fatty acid palmitate (PA) can cause hepatocyte cellular dysfunction, but whether and how this process contributes to macrophage-associated inflammation is not well understood.. This study aimed to explore whether lipid-injured hepatocytes result in the secretion of osteopontin (sOPN), and how sOPN induces macrophage migration to steatosis hepatocytes.



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Dutasteride, a 5α-reductase inhibitor, reverses the increase in growth and proliferation of bladder cancer cell lines induced by testosterone treatment A <t>mRNA</t> expression analysis of androgen receptor (AR) and SLC39A9 (mAR) in normal bladder and cancer cell lines. The relative expression level was normalized against the housekeeping gene GAPDH. N = 3. B , C Proliferation of T24 and J82 bladder cancer cells with or without 10 nM testosterone (T) and 1 μM dutasteride was analyzed by counting the number of cells every 24 h for 3 days with trypan blue exclusion. Two-way ANOVA followed by Tukey's multiple comparison tests. N = 3. D – G Bladder cancer cell colonies were cultured with or without 10 nM testosterone and 1 μM dutasteride and the number of colonies after 2 weeks was quantified. N = 3. One-way ANOVA followed by Tukey’s post-hoc test. All values are shown as mean ± SD of three independent experiments. *p < 0.05, **p < 0.01, ***p < 0.001
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Identification of Lnc-DIF, which was associated with bone formation reduction (A) Selected area of <t>mRNA</t> array (up) and LncRNA array (bottom) heatmap for MACF1-knockdown MC3T3-E1 cell (KD1–KD3) and negative control (C1–C3). (B) Result of Gene Co-expression Networks analysis for LncRNA array and osteogenic mRNA array data. (C) Expression levels of LncRNA in BMSCs of 6- and 18-month-old male C57BL/6 mice, as detected by RT-PCR (mean ± SD, ∗∗p < 0.01, ∗∗∗p < 0.001, N = 3). (D) Expression levels of LncRNA in BMSCs of OVX C57BL/6 mice, as detected by RT-PCR (mean ± SD, ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, N = 3). Sham: sham OVX operation group. OVX: OVX group. (E–H) Correlation analysis between Lnc-DIF levels and Col Iα1 , Runx2 , Alp, and Ocn mRNA levels in femur tissues from C57BL/6 mice, as detected by RT-PCR.
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Identification of Lnc-DIF, which was associated with bone formation reduction (A) Selected area of <t>mRNA</t> array (up) and LncRNA array (bottom) heatmap for MACF1-knockdown MC3T3-E1 cell (KD1–KD3) and negative control (C1–C3). (B) Result of Gene Co-expression Networks analysis for LncRNA array and osteogenic mRNA array data. (C) Expression levels of LncRNA in BMSCs of 6- and 18-month-old male C57BL/6 mice, as detected by RT-PCR (mean ± SD, ∗∗p < 0.01, ∗∗∗p < 0.001, N = 3). (D) Expression levels of LncRNA in BMSCs of OVX C57BL/6 mice, as detected by RT-PCR (mean ± SD, ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, N = 3). Sham: sham OVX operation group. OVX: OVX group. (E–H) Correlation analysis between Lnc-DIF levels and Col Iα1 , Runx2 , Alp, and Ocn mRNA levels in femur tissues from C57BL/6 mice, as detected by RT-PCR.
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Identification of Lnc-DIF, which was associated with bone formation reduction (A) Selected area of <t>mRNA</t> array (up) and LncRNA array (bottom) heatmap for MACF1-knockdown MC3T3-E1 cell (KD1–KD3) and negative control (C1–C3). (B) Result of Gene Co-expression Networks analysis for LncRNA array and osteogenic mRNA array data. (C) Expression levels of LncRNA in BMSCs of 6- and 18-month-old male C57BL/6 mice, as detected by RT-PCR (mean ± SD, ∗∗p < 0.01, ∗∗∗p < 0.001, N = 3). (D) Expression levels of LncRNA in BMSCs of OVX C57BL/6 mice, as detected by RT-PCR (mean ± SD, ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, N = 3). Sham: sham OVX operation group. OVX: OVX group. (E–H) Correlation analysis between Lnc-DIF levels and Col Iα1 , Runx2 , Alp, and Ocn mRNA levels in femur tissues from C57BL/6 mice, as detected by RT-PCR.
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Dutasteride, a 5α-reductase inhibitor, reverses the increase in growth and proliferation of bladder cancer cell lines induced by testosterone treatment A mRNA expression analysis of androgen receptor (AR) and SLC39A9 (mAR) in normal bladder and cancer cell lines. The relative expression level was normalized against the housekeeping gene GAPDH. N = 3. B , C Proliferation of T24 and J82 bladder cancer cells with or without 10 nM testosterone (T) and 1 μM dutasteride was analyzed by counting the number of cells every 24 h for 3 days with trypan blue exclusion. Two-way ANOVA followed by Tukey's multiple comparison tests. N = 3. D – G Bladder cancer cell colonies were cultured with or without 10 nM testosterone and 1 μM dutasteride and the number of colonies after 2 weeks was quantified. N = 3. One-way ANOVA followed by Tukey’s post-hoc test. All values are shown as mean ± SD of three independent experiments. *p < 0.05, **p < 0.01, ***p < 0.001

Journal: Journal of Translational Medicine

Article Title: Anti-oncogenic effects of dutasteride, a dual 5-alpha reductase inhibitor and a drug for benign prostate hyperplasia, in bladder cancer

doi: 10.1186/s12967-023-03972-4

Figure Lengend Snippet: Dutasteride, a 5α-reductase inhibitor, reverses the increase in growth and proliferation of bladder cancer cell lines induced by testosterone treatment A mRNA expression analysis of androgen receptor (AR) and SLC39A9 (mAR) in normal bladder and cancer cell lines. The relative expression level was normalized against the housekeeping gene GAPDH. N = 3. B , C Proliferation of T24 and J82 bladder cancer cells with or without 10 nM testosterone (T) and 1 μM dutasteride was analyzed by counting the number of cells every 24 h for 3 days with trypan blue exclusion. Two-way ANOVA followed by Tukey's multiple comparison tests. N = 3. D – G Bladder cancer cell colonies were cultured with or without 10 nM testosterone and 1 μM dutasteride and the number of colonies after 2 weeks was quantified. N = 3. One-way ANOVA followed by Tukey’s post-hoc test. All values are shown as mean ± SD of three independent experiments. *p < 0.05, **p < 0.01, ***p < 0.001

Article Snippet: The mRNA microarray data of steroid 5 alpha reductase 1, 2 (SRD5A1 and SRD5A2) in BCa and normal tissues were acquired from the Oncomine database version 4.5 (Thermo Fisher Scientific Inc., MI, USA) [ , ] and analyzed using the Gene Expression Profiling Interactive Analysis (GEPIA, Beijing, China) [ ].

Techniques: Expressing, Comparison, Cell Culture

Expression of Steroidal 5α-reductase 1 ( SRD5A1 ) and correlation with survival rate in patients with bladder cancer A Reverse transcription-polymerase chain reaction (RT-PCR) was used to measure relative SRD5A1 mRNA expression in the human urothelial cell line, SV-HUC1, and bladder cancer cell lines, T24 and J82, and relative mRNA expression was calculated against glyceraldehyde 3-phosphate dehydrogenase ( GAPDH ). N = 3. B – D mRNA expression levels of SRD5A1 in bladder cancer tissues compared with normal tissues. Data were obtained from the Gene Expression Profiling Interactive Analysis (GEPIA) and Oncomine webtool and were statistically determined as fold-change threshold > 1.5 in the Oncomine dataset and p -value < 0.05 in all databases. E – G Survival rate of patients with bladder cancer in groups with high and low SRD5A1 expression from different datasets obtained from the R2 database. p -values are shown in the graphs

Journal: Journal of Translational Medicine

Article Title: Anti-oncogenic effects of dutasteride, a dual 5-alpha reductase inhibitor and a drug for benign prostate hyperplasia, in bladder cancer

doi: 10.1186/s12967-023-03972-4

Figure Lengend Snippet: Expression of Steroidal 5α-reductase 1 ( SRD5A1 ) and correlation with survival rate in patients with bladder cancer A Reverse transcription-polymerase chain reaction (RT-PCR) was used to measure relative SRD5A1 mRNA expression in the human urothelial cell line, SV-HUC1, and bladder cancer cell lines, T24 and J82, and relative mRNA expression was calculated against glyceraldehyde 3-phosphate dehydrogenase ( GAPDH ). N = 3. B – D mRNA expression levels of SRD5A1 in bladder cancer tissues compared with normal tissues. Data were obtained from the Gene Expression Profiling Interactive Analysis (GEPIA) and Oncomine webtool and were statistically determined as fold-change threshold > 1.5 in the Oncomine dataset and p -value < 0.05 in all databases. E – G Survival rate of patients with bladder cancer in groups with high and low SRD5A1 expression from different datasets obtained from the R2 database. p -values are shown in the graphs

Article Snippet: The mRNA microarray data of steroid 5 alpha reductase 1, 2 (SRD5A1 and SRD5A2) in BCa and normal tissues were acquired from the Oncomine database version 4.5 (Thermo Fisher Scientific Inc., MI, USA) [ , ] and analyzed using the Gene Expression Profiling Interactive Analysis (GEPIA, Beijing, China) [ ].

Techniques: Expressing, Reverse Transcription, Polymerase Chain Reaction, Reverse Transcription Polymerase Chain Reaction, Gene Expression

Effects of SRD5A1 silencing in T24 and J82 bladder cancer cell lines A , B Gene expression of SRD5A1 in shSRD5A1-transduced and control (Scr) cells was analyzed using reverse transcription-polymerase chain reaction (RT-PCR). The PCR products were run in an agarose gel ( A ) and the relative mRNA expression of SRD5A1 was normalized against GAPDH ( B ). N = 3. C The number of SRD5A1 -silenced cells and control cells was counted after trypan blue exclusion for 3 days. N = 3. D Representative images from the colony forming unit assay and quantification of the number of colonies in shSRD5A1-transduced and control Scr cells. N = 3. E Cell closure analysis. The upper panels represent wound closure of control and SRD5A1- silenced cells, and the closure rates are indicated in the bottom panel. N T24 = 4. N J82 = 3 F Migration analysis in T24 and J82 control and shSRD5A1 cells using transwell. The upper panels show representative images of the migration analysis and the relative migrated area is shown in the bottom panel. N = 3. All values are expressed as mean ± SD of at least three independent experiments, and statistical significance was analyzed using ordinary one-way ANOVA and two-way ANOVA. (* p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001)

Journal: Journal of Translational Medicine

Article Title: Anti-oncogenic effects of dutasteride, a dual 5-alpha reductase inhibitor and a drug for benign prostate hyperplasia, in bladder cancer

doi: 10.1186/s12967-023-03972-4

Figure Lengend Snippet: Effects of SRD5A1 silencing in T24 and J82 bladder cancer cell lines A , B Gene expression of SRD5A1 in shSRD5A1-transduced and control (Scr) cells was analyzed using reverse transcription-polymerase chain reaction (RT-PCR). The PCR products were run in an agarose gel ( A ) and the relative mRNA expression of SRD5A1 was normalized against GAPDH ( B ). N = 3. C The number of SRD5A1 -silenced cells and control cells was counted after trypan blue exclusion for 3 days. N = 3. D Representative images from the colony forming unit assay and quantification of the number of colonies in shSRD5A1-transduced and control Scr cells. N = 3. E Cell closure analysis. The upper panels represent wound closure of control and SRD5A1- silenced cells, and the closure rates are indicated in the bottom panel. N T24 = 4. N J82 = 3 F Migration analysis in T24 and J82 control and shSRD5A1 cells using transwell. The upper panels show representative images of the migration analysis and the relative migrated area is shown in the bottom panel. N = 3. All values are expressed as mean ± SD of at least three independent experiments, and statistical significance was analyzed using ordinary one-way ANOVA and two-way ANOVA. (* p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001)

Article Snippet: The mRNA microarray data of steroid 5 alpha reductase 1, 2 (SRD5A1 and SRD5A2) in BCa and normal tissues were acquired from the Oncomine database version 4.5 (Thermo Fisher Scientific Inc., MI, USA) [ , ] and analyzed using the Gene Expression Profiling Interactive Analysis (GEPIA, Beijing, China) [ ].

Techniques: Gene Expression, Control, Reverse Transcription, Polymerase Chain Reaction, Reverse Transcription Polymerase Chain Reaction, Agarose Gel Electrophoresis, Expressing, Colony-forming Unit Assay, Migration

 microRNA  and gene expression  microarray  datasets related to idiopathic pulmonary fibrosis.

Journal: Mediators of Inflammation

Article Title: Analysis of Microarray-Identified Genes and MicroRNAs Associated with Idiopathic Pulmonary Fibrosis

doi: 10.1155/2017/1804240

Figure Lengend Snippet: microRNA and gene expression microarray datasets related to idiopathic pulmonary fibrosis.

Article Snippet: Microarray data from IPF-related microRNA and mRNA expression profiles were retrieved and downloaded from the National Center for Biotechnology Information (NCBI) GEO database ( http://www.ncbi.nlmNih.gov/geo ).

Techniques: Expressing, Microarray

Identification of Lnc-DIF, which was associated with bone formation reduction (A) Selected area of mRNA array (up) and LncRNA array (bottom) heatmap for MACF1-knockdown MC3T3-E1 cell (KD1–KD3) and negative control (C1–C3). (B) Result of Gene Co-expression Networks analysis for LncRNA array and osteogenic mRNA array data. (C) Expression levels of LncRNA in BMSCs of 6- and 18-month-old male C57BL/6 mice, as detected by RT-PCR (mean ± SD, ∗∗p < 0.01, ∗∗∗p < 0.001, N = 3). (D) Expression levels of LncRNA in BMSCs of OVX C57BL/6 mice, as detected by RT-PCR (mean ± SD, ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, N = 3). Sham: sham OVX operation group. OVX: OVX group. (E–H) Correlation analysis between Lnc-DIF levels and Col Iα1 , Runx2 , Alp, and Ocn mRNA levels in femur tissues from C57BL/6 mice, as detected by RT-PCR.

Journal: iScience

Article Title: Long noncoding RNA Lnc-DIF inhibits bone formation by sequestering miR-489-3p

doi: 10.1016/j.isci.2022.103949

Figure Lengend Snippet: Identification of Lnc-DIF, which was associated with bone formation reduction (A) Selected area of mRNA array (up) and LncRNA array (bottom) heatmap for MACF1-knockdown MC3T3-E1 cell (KD1–KD3) and negative control (C1–C3). (B) Result of Gene Co-expression Networks analysis for LncRNA array and osteogenic mRNA array data. (C) Expression levels of LncRNA in BMSCs of 6- and 18-month-old male C57BL/6 mice, as detected by RT-PCR (mean ± SD, ∗∗p < 0.01, ∗∗∗p < 0.001, N = 3). (D) Expression levels of LncRNA in BMSCs of OVX C57BL/6 mice, as detected by RT-PCR (mean ± SD, ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001, N = 3). Sham: sham OVX operation group. OVX: OVX group. (E–H) Correlation analysis between Lnc-DIF levels and Col Iα1 , Runx2 , Alp, and Ocn mRNA levels in femur tissues from C57BL/6 mice, as detected by RT-PCR.

Article Snippet: Supplemental mRNA microarray data , This paper; Mendeley Data , E-MTAB-11425.

Techniques: Knockdown, Negative Control, Expressing, Reverse Transcription Polymerase Chain Reaction

WGCNA analysis mRNA microarray data of GSE20129. a Schematic diagram of clustering analysis was shown. b Schematic diagram of soft threshold screening was shown, in which the red line in the figure was the correlation coefficient, and the first point above the red line was the soft threshold β = 5. c Schematic diagram of gene module clustering was shown, in which each color represented a module, the genes in the gray module were genes that were not clustered into any module. d The heatmap of the correlation between the gene module and the phenotype was shown, in which the color of red and blue represented the phenotypic correlation

Journal: BMC Cardiovascular Disorders

Article Title: A 2 miRNAs-based signature for the diagnosis of atherosclerosis

doi: 10.1186/s12872-021-01960-4

Figure Lengend Snippet: WGCNA analysis mRNA microarray data of GSE20129. a Schematic diagram of clustering analysis was shown. b Schematic diagram of soft threshold screening was shown, in which the red line in the figure was the correlation coefficient, and the first point above the red line was the soft threshold β = 5. c Schematic diagram of gene module clustering was shown, in which each color represented a module, the genes in the gray module were genes that were not clustered into any module. d The heatmap of the correlation between the gene module and the phenotype was shown, in which the color of red and blue represented the phenotypic correlation

Article Snippet: The cluster analysis was also conducted based on the mRNA microarray data of 119 samples from GSE20129 detected by Illumina humanRef-8 v2.0 expression beadchip platforms, in which two outlier samples were excluded in the subsequent analysis (Fig. a).

Techniques: Microarray

WGCNA analysis miRNA microarray data of GSE59421. a Schematic diagram of clustering analysis was shown. b Schematic diagram of soft threshold screening was shown, in which the red line in the figure was the correlation coefficient, and the first point above the red line was the soft threshold β = 18. c Schematic diagram of gene module clustering was shown, in which each color represented a module, the genes in the gray module were genes that were not clustered into any module. d The heatmap of the correlation between the gene module and the phenotype was shown, in which the color of red and blue represented the phenotypic correlation

Journal: BMC Cardiovascular Disorders

Article Title: A 2 miRNAs-based signature for the diagnosis of atherosclerosis

doi: 10.1186/s12872-021-01960-4

Figure Lengend Snippet: WGCNA analysis miRNA microarray data of GSE59421. a Schematic diagram of clustering analysis was shown. b Schematic diagram of soft threshold screening was shown, in which the red line in the figure was the correlation coefficient, and the first point above the red line was the soft threshold β = 18. c Schematic diagram of gene module clustering was shown, in which each color represented a module, the genes in the gray module were genes that were not clustered into any module. d The heatmap of the correlation between the gene module and the phenotype was shown, in which the color of red and blue represented the phenotypic correlation

Article Snippet: The cluster analysis was also conducted based on the mRNA microarray data of 119 samples from GSE20129 detected by Illumina humanRef-8 v2.0 expression beadchip platforms, in which two outlier samples were excluded in the subsequent analysis (Fig. a).

Techniques: Microarray