differential mrna analysis Search Results


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Ribobio co ribomerip m6a transcriptome profiling kit
Ribomerip M6a Transcriptome Profiling Kit, supplied by Ribobio co, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Ribobio co merip m6a transcriptome profiling kit
Merip M6a Transcriptome Profiling Kit, supplied by Ribobio co, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Ribobio co meriptm m6a transcriptome profiling kit
Meriptm M6a Transcriptome Profiling Kit, supplied by Ribobio co, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Tanac Automation Co Ltd tanac-s-a1
Summary of wheat TaNAC genes and their associated functions.
Tanac S A1, supplied by Tanac Automation Co Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MetWare Ltd transcriptome analysis
Summary of wheat TaNAC genes and their associated functions.
Transcriptome Analysis, supplied by MetWare Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Ribobio co rna-seq based transcriptome profiling
Summary of wheat TaNAC genes and their associated functions.
Rna Seq Based Transcriptome Profiling, supplied by Ribobio co, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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AgriGenome Labs transcriptome analysis
Summary of wheat TaNAC genes and their associated functions.
Transcriptome Analysis, supplied by AgriGenome Labs, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Genometry l1000 gene-expression profiling assay
Summary schematic of experimental and analytic pipeline. a One hundred and thirty-five drugs were prioritized for screening based on connectivity with diverse aspects of SZ-related biology. b Cells used for screening comprised seven CCLs (A549, AGS, A673, HEPG2, HT29, MCF7, and VCAP) that were prioritized using LINCs datasets, one additional neural CCL (SH-SY5Y) and hiPSC NPCs from 13 SZ and 13 control individuals (12 each per drug). c Data were generated using the <t>L1000</t> platform to yield 6650 drug-perturbation transcriptomic profiles (135 drugs tested across 26 hiPSC NPCs and 8 CCLs). After data quality control, normalized expression was converted to d robust Z -scores based on comparison with isogenic DMSO-treated experiments, and used as inputs for e functional molecular enrichments, cell-type-specific (hiPSC NPCs and CCLs) trends, diagnosis-dependent (SZ and control) responses, and chemogenomics analyses. Global transcriptomic responses of two drugs were tested across hiPSC NPCs from three SZ and three control individuals by RNA-seq, as part of a validation of the L1000 results
L1000 Gene Expression Profiling Assay, supplied by Genometry, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/differential+mrna+analysis/l1000/pmc06200740-213-1-5
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MetWare Ltd transcriptome sequencing
Summary schematic of experimental and analytic pipeline. a One hundred and thirty-five drugs were prioritized for screening based on connectivity with diverse aspects of SZ-related biology. b Cells used for screening comprised seven CCLs (A549, AGS, A673, HEPG2, HT29, MCF7, and VCAP) that were prioritized using LINCs datasets, one additional neural CCL (SH-SY5Y) and hiPSC NPCs from 13 SZ and 13 control individuals (12 each per drug). c Data were generated using the <t>L1000</t> platform to yield 6650 drug-perturbation transcriptomic profiles (135 drugs tested across 26 hiPSC NPCs and 8 CCLs). After data quality control, normalized expression was converted to d robust Z -scores based on comparison with isogenic DMSO-treated experiments, and used as inputs for e functional molecular enrichments, cell-type-specific (hiPSC NPCs and CCLs) trends, diagnosis-dependent (SZ and control) responses, and chemogenomics analyses. Global transcriptomic responses of two drugs were tested across hiPSC NPCs from three SZ and three control individuals by RNA-seq, as part of a validation of the L1000 results
Transcriptome Sequencing, supplied by MetWare Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/differential+mrna+analysis/transcriptome+sequencing/10__1093_slash_fqsafe_slash_fyac009-53-3-11
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BioSpyder Technologies transcriptome analysis
Hepatocyte maturation status of four different HepG2 models. (A) Bright field pictures showing morphological differences between the different models; HepG2 cultured in 2D and normal DMEM medium, HepG2 cultured in 2D and AAGLY medium, HepG2 cultured in 3D and normal DMEM medium, HepG2 cultured in 3D and AAGLY medium from left to right. (B) <t>Gene</t> <t>expression</t> <t>profiles</t> of some hepatocyte markers ( SERPINA1 and ALB ), CYP enzymes ( 3A4 , 3A7 and 1B1 ) and transporters ( UGT1A1 and SLC10A1 ) and the housekeeping genes ( GAPDH ). Gene expression values are relative to model 1 (HepG2 cultured in 2D and normal DMEM medium) and benchmarked to a pool of 10 different donors of cryopreserved PHHs (10×). N = 6; error bars represent SD; significance levels represented as * P adj < 0.05, ** P adj < 0.01 and *** P adj < 0.001.
Transcriptome Analysis, supplied by BioSpyder Technologies, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/differential+mrna+analysis/transcriptome+analysis/pmc09071099-125-15-18
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Human Protein Atlas gene expression profiling interactive analysis gepia
Figure 3. Association of (A) ITGB1, (B) ITGB2, (C) ITGB3, (D) ITGB4, (E) ITGB5, (F) ITGB6, (G) ITGB7 and (H) ITGB8 with the tumor stage of HCC patients based on <t>GEPIA.</t> GEPIA = gene expression profiling interactive analysis, HCC <t>=</t> <t>hepatocellular</t> carcinoma, ITGB = integrin β.
Gene Expression Profiling Interactive Analysis Gepia, supplied by Human Protein Atlas, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/differential+mrna+analysis/atlas+hpa+human+protein/10__1097_slash_md__0000000000034765-0-29-35
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Medicago transcriptome analysis
Figure 3. Association of (A) ITGB1, (B) ITGB2, (C) ITGB3, (D) ITGB4, (E) ITGB5, (F) ITGB6, (G) ITGB7 and (H) ITGB8 with the tumor stage of HCC patients based on <t>GEPIA.</t> GEPIA = gene expression profiling interactive analysis, HCC <t>=</t> <t>hepatocellular</t> carcinoma, ITGB = integrin β.
Transcriptome Analysis, supplied by Medicago, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/differential+mrna+analysis/analysis+comparative+transcriptome/pm41225786-114-3-6
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Image Search Results


Summary of wheat TaNAC genes and their associated functions.

Journal: International Journal of Molecular Sciences

Article Title: Cis -Regulation by NACs : A Promising Frontier in Wheat Crop Improvement

doi: 10.3390/ijms232315431

Figure Lengend Snippet: Summary of wheat TaNAC genes and their associated functions.

Article Snippet: TaNAC-S-A1 , Grain yield, chlorophyll contents , + regulator of grain yield and chlorophyll contents , Transcriptome analysis , - , - , [ , ] .

Techniques: Functional Assay, Activation Assay, Over Expression, Knockdown, Starch, Expressing, Membrane, Stripping Membranes

Summary schematic of experimental and analytic pipeline. a One hundred and thirty-five drugs were prioritized for screening based on connectivity with diverse aspects of SZ-related biology. b Cells used for screening comprised seven CCLs (A549, AGS, A673, HEPG2, HT29, MCF7, and VCAP) that were prioritized using LINCs datasets, one additional neural CCL (SH-SY5Y) and hiPSC NPCs from 13 SZ and 13 control individuals (12 each per drug). c Data were generated using the L1000 platform to yield 6650 drug-perturbation transcriptomic profiles (135 drugs tested across 26 hiPSC NPCs and 8 CCLs). After data quality control, normalized expression was converted to d robust Z -scores based on comparison with isogenic DMSO-treated experiments, and used as inputs for e functional molecular enrichments, cell-type-specific (hiPSC NPCs and CCLs) trends, diagnosis-dependent (SZ and control) responses, and chemogenomics analyses. Global transcriptomic responses of two drugs were tested across hiPSC NPCs from three SZ and three control individuals by RNA-seq, as part of a validation of the L1000 results

Journal: Nature Communications

Article Title: Expression-based drug screening of neural progenitor cells from individuals with schizophrenia

doi: 10.1038/s41467-018-06515-4

Figure Lengend Snippet: Summary schematic of experimental and analytic pipeline. a One hundred and thirty-five drugs were prioritized for screening based on connectivity with diverse aspects of SZ-related biology. b Cells used for screening comprised seven CCLs (A549, AGS, A673, HEPG2, HT29, MCF7, and VCAP) that were prioritized using LINCs datasets, one additional neural CCL (SH-SY5Y) and hiPSC NPCs from 13 SZ and 13 control individuals (12 each per drug). c Data were generated using the L1000 platform to yield 6650 drug-perturbation transcriptomic profiles (135 drugs tested across 26 hiPSC NPCs and 8 CCLs). After data quality control, normalized expression was converted to d robust Z -scores based on comparison with isogenic DMSO-treated experiments, and used as inputs for e functional molecular enrichments, cell-type-specific (hiPSC NPCs and CCLs) trends, diagnosis-dependent (SZ and control) responses, and chemogenomics analyses. Global transcriptomic responses of two drugs were tested across hiPSC NPCs from three SZ and three control individuals by RNA-seq, as part of a validation of the L1000 results

Article Snippet: The L1000 gene-expression profiling assay (Genometry, Inc.) was used to generate data; GCT files with intra-sample scaled, intra-batch quantile-normalized, and log2-transformed data were received and used for downstream analysis.

Techniques: Control, Generated, Expressing, Comparison, Functional Assay, Biomarker Discovery, RNA Sequencing

Loxapine-induced regulation of FMRP targets implicates NPD-associated binding motifs. a Summary of diagnosis-dependent drug-induced perturbations in FMR1 protein (FMRP) targets from L1000 drug-screening data. Red (upregulation) and blue (downregulation) points indicate drugs that induce significant (FDR < 0.1) changes in the regulation of FMRP targets in SZ hiPSC NPCs in two FMRP target sets , . b SZ sets that are most differentially regulated by methylparaben and loxapine, across L1000 and RNA-seq. Squares with enrichment FDR > 0.1 are shown as white. c Known FMRP-binding motifs in DE genes of loxapine-treated SZ and control hiPSC NPCs. d FMRP targets enriched in loxapine-treated diagnosis-dependent hiPSC NPC DE genes were tested for association with SZ, ASD, and intellectual disability (ID) rare variant gene lists. e Enrichment for ACUK FMRP-binding motif variants identified in NPD mutations. f Enrichment for ACUK FMRP-binding motif variants identified in neuropsychiatric disease mutations with essential splice sites

Journal: Nature Communications

Article Title: Expression-based drug screening of neural progenitor cells from individuals with schizophrenia

doi: 10.1038/s41467-018-06515-4

Figure Lengend Snippet: Loxapine-induced regulation of FMRP targets implicates NPD-associated binding motifs. a Summary of diagnosis-dependent drug-induced perturbations in FMR1 protein (FMRP) targets from L1000 drug-screening data. Red (upregulation) and blue (downregulation) points indicate drugs that induce significant (FDR < 0.1) changes in the regulation of FMRP targets in SZ hiPSC NPCs in two FMRP target sets , . b SZ sets that are most differentially regulated by methylparaben and loxapine, across L1000 and RNA-seq. Squares with enrichment FDR > 0.1 are shown as white. c Known FMRP-binding motifs in DE genes of loxapine-treated SZ and control hiPSC NPCs. d FMRP targets enriched in loxapine-treated diagnosis-dependent hiPSC NPC DE genes were tested for association with SZ, ASD, and intellectual disability (ID) rare variant gene lists. e Enrichment for ACUK FMRP-binding motif variants identified in NPD mutations. f Enrichment for ACUK FMRP-binding motif variants identified in neuropsychiatric disease mutations with essential splice sites

Article Snippet: The L1000 gene-expression profiling assay (Genometry, Inc.) was used to generate data; GCT files with intra-sample scaled, intra-batch quantile-normalized, and log2-transformed data were received and used for downstream analysis.

Techniques: Binding Assay, Biomarker Discovery, Drug discovery, RNA Sequencing, Control, Variant Assay

Hepatocyte maturation status of four different HepG2 models. (A) Bright field pictures showing morphological differences between the different models; HepG2 cultured in 2D and normal DMEM medium, HepG2 cultured in 2D and AAGLY medium, HepG2 cultured in 3D and normal DMEM medium, HepG2 cultured in 3D and AAGLY medium from left to right. (B) Gene expression profiles of some hepatocyte markers ( SERPINA1 and ALB ), CYP enzymes ( 3A4 , 3A7 and 1B1 ) and transporters ( UGT1A1 and SLC10A1 ) and the housekeeping genes ( GAPDH ). Gene expression values are relative to model 1 (HepG2 cultured in 2D and normal DMEM medium) and benchmarked to a pool of 10 different donors of cryopreserved PHHs (10×). N = 6; error bars represent SD; significance levels represented as * P adj < 0.05, ** P adj < 0.01 and *** P adj < 0.001.

Journal: Mutagenesis

Article Title: Towards an advanced testing strategy for genotoxicity using image-based 2D and 3D HepG2 DNA damage response fluorescent protein reporters

doi: 10.1093/mutage/geab031

Figure Lengend Snippet: Hepatocyte maturation status of four different HepG2 models. (A) Bright field pictures showing morphological differences between the different models; HepG2 cultured in 2D and normal DMEM medium, HepG2 cultured in 2D and AAGLY medium, HepG2 cultured in 3D and normal DMEM medium, HepG2 cultured in 3D and AAGLY medium from left to right. (B) Gene expression profiles of some hepatocyte markers ( SERPINA1 and ALB ), CYP enzymes ( 3A4 , 3A7 and 1B1 ) and transporters ( UGT1A1 and SLC10A1 ) and the housekeeping genes ( GAPDH ). Gene expression values are relative to model 1 (HepG2 cultured in 2D and normal DMEM medium) and benchmarked to a pool of 10 different donors of cryopreserved PHHs (10×). N = 6; error bars represent SD; significance levels represented as * P adj < 0.05, ** P adj < 0.01 and *** P adj < 0.001.

Article Snippet: Samples were lysed for 15 min at room temperature, stored at −80°C and shipped for transcriptome analysis by BioSpyder.

Techniques: Cell Culture, Gene Expression

Figure 3. Association of (A) ITGB1, (B) ITGB2, (C) ITGB3, (D) ITGB4, (E) ITGB5, (F) ITGB6, (G) ITGB7 and (H) ITGB8 with the tumor stage of HCC patients based on GEPIA. GEPIA = gene expression profiling interactive analysis, HCC = hepatocellular carcinoma, ITGB = integrin β.

Journal: Medicine

Article Title: Prognostic value and potential molecular mechanism of ITGB superfamily members in hepatocellular carcinoma

doi: 10.1097/md.0000000000034765

Figure Lengend Snippet: Figure 3. Association of (A) ITGB1, (B) ITGB2, (C) ITGB3, (D) ITGB4, (E) ITGB5, (F) ITGB6, (G) ITGB7 and (H) ITGB8 with the tumor stage of HCC patients based on GEPIA. GEPIA = gene expression profiling interactive analysis, HCC = hepatocellular carcinoma, ITGB = integrin β.

Article Snippet: We analyzed the prognostic value and potential molecular mechanisms of the members of integrin β (ITGB)superfamily in hepatocellular carcinoma (HCC) using data from The Cancer Genome Atlas (TCGA), cBioPortal, Gene Expression Profiling Interactive Analysis (GEPIA), Human Protein Atlas (HPA) HPA, Search Tool for the Retrieval of Interacting Genes/Proteins, GeneMANIA, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), TIMER and Gene set enrichment analysis (GSEA) databases.

Techniques: Gene Expression