gene exp gapdh hs02758991 g1 (Thermo Fisher)
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gene exp gapdh hs02758991 g1
Gene Exp Gapdh Hs02758991 G1, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/digital+spatial+profiling+spatial+transcriptomics+sequencing/Gene+Exp%2E+GAPDH%2C+Hs02758991_g1/pmc06940030-55-20--1
Average 99 stars, based on 1 article reviews
Gene Exp Gapdh Hs02758991 G1, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/digital+spatial+profiling+spatial+transcriptomics+sequencing/Gene+Exp%2E+GAPDH%2C+Hs02758991_g1/pmc06940030-55-20--1
Average 99 stars, based on 1 article reviews
gene exp gapdh hs02758991 g1 - by Bioz Stars,
2026-10
99/100 stars
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1) Product Images from "Identification of robust reference genes for studies of gene expression in FFPE melanoma samples and melanoma cell lines"
Article Title: Identification of robust reference genes for studies of gene expression in FFPE melanoma samples and melanoma cell lines
Journal: Melanoma Research
doi: 10.1097/CMR.0000000000000644
Figure Legend Snippet: ACTB and GAPDH mRNA expression variation in sections from 13 primary melanoma tumors. (a and c) Display the raw inter-tumor Cq variation and (b and d) display the raw intra-tumor Cq variation of ACTB and GAPDH , respectively. (e) Displays variable length of GAPDH fragments amplified by RT-PCR. Base pair (bp) markers of 100 bps and 200 bps are shown at the left. Bottom panels showing corresponding Cq values for ACTB and GAPDH in qRT-PCR. Cq, quantification cycle.
Techniques Used: Expressing, Amplification, Reverse Transcription Polymerase Chain Reaction, Quantitative RT-PCR
Figure Legend Snippet: ACTB and GAPDH expression variation in macro-dissected non-cancerous epidermal tissue samples. (a and c) Display the raw inter-tumor Cq variation and (b and d) display the raw intra-tumor Cq variation of ACTB and GAPDH , respectively. The epidermal sections were prepared from patient samples of a selected subgroup of patients in the cohort presented in Fig. (corresponding numbers between melanomas/patients and cutaneous sections are shown below each diagram). (e) Displays variable length of GAPDH fragments detected by RT-PCR. Bp markers are shown at the left. Bottom panels show corresponding Cq values for ACTB and GAPDH . The epidermal sections are from a selected group of patients from Fig. (corresponding numbers between tumors and cutaneous sections are shown). Cq, quantification cycle.
Techniques Used: Expressing, Reverse Transcription Polymerase Chain Reaction
Figure Legend Snippet: Evaluation of reference genes stability in melanoma cell lines. Expression variation of candidate reference genes in melanoma cell lines is displayed in (a–c). (a) Raw Cq values of the 24 candidate reference genes across the cultured melanoma cell lines; FM3, FM82, FM88 and FM92, measured by qRT-PCR. (b) Gene expression of the most stable genes from (a) across nine additional melanoma cell lines. (c) Differences in gene expression (ΔCq values) across all 13 melanoma cell lines. Cq, quantification cycle. For each gene, the total variation between measured Cq’s across all 13 melanoma cell lines is shown. In (d), the geNorm evaluation of reference genes is displayed. The seven candidate reference genes evaluated using the geNorm algorithm. The average stability measure M is displayed in gray for the two most stable genes, RPS2 and CASC3 , and in black for the remaining genes. Gene names are indicated below the bars. In (e), NormFinder evaluation of reference genes is displayed. Stability of the seven selected candidate reference genes across 13 melanoma cell lines without regard to genetic subgroup evaluated using the NormFinder algorithm. The most stable genes, CASC3 and RPS2 , are displayed in gray, and the remaining genes are shown in black. (f) RNAseq-based validation of qRT-PCR-based relative gene expression levels of LRP1 , ACTB and GAPDH in 31-D3 and 35-G7 melanoma cells. qRT-PCR-based gene expression levels were normalized using reference genes CASC3 and RPS2 . RNAseq reads per gene were normalized to gene length. RNAseq expression ratios were calculated as the normalized gene read for each gene in 31-D3 divided by the normalized gene read for each gene in 35-G7. qRT-PCR expression ratios equals RQ values. (g) Upper panel: qRT-PCR ΔCqs for LRP1 across 13 melanoma cell lines. Mid panel: ddPCR ratios for LRP1 across 13 melanoma cell lines. Lower panel: correlation between qRT-PCR ΔCqs and ddPCR ratios. P < 0.0001. (h) Upper panel: qRT-PCR ΔCqs for ACTB across 13 melanoma cell lines. Mid panel: ddPCR ratios for ACTB across 13 melanoma cell lines. Lower panel: correlation between qRT-PCR ΔCqs and ddPCR ratios. P < 0.0001. (i) Upper panel: qRT-PCR ΔCqs for GAPDH across 13 melanoma cell lines. Mid panel: ddPCR ratios for GAPDH across 13 melanoma cell lines. Lower panel: correlation between qRT-PCR ΔCqs and ddPCR ratios. P < 0.0001. qRT-PCR- and ddPCR-based gene expression levels were normalized using a geometric mean of the expression of reference genes CASC3 and RPS2 . ddPCR, droplet digital-PCR; RNAseq, RNA sequencing; RQ, relative quantification.
Techniques Used: Expressing, Cell Culture, Quantitative RT-PCR, Gene Expression, Biomarker Discovery, Digital PCR, RNA Sequencing, Quantitative Proteomics
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