RNA-seq of human head and neck squamous cell carcinoma (HNSCC) to compare different tissue dissociation methods [bulkRNA]
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1017886 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Tissue dissociation, mechanical and/or enzymatic, is a method of disaggregating 3D connective tissue to release cells for downstream single cell analysis. Without proper controls for tissue dissociation experiments, potential artifacts can be mistaken for baseline tissue data. We hypothesized that enzymatic (collagenase/hyaluronidase) compared to mechanical dissociation leads to dissociated related artifacts not found in endogenous tumor tissue. To distinguish artifacts between enzymatic and mechanical dissociation, we compared separate enzymatic and mechanical dissociated samples with baseline samples from healthy and tumor patient whole blood, melanoma and head and neck squamous cell carcinoma (HNSCC) tumor tissues in flow cytometry, RNA sequencing and CODEX experiments. In bulk sorted tumor tissue, there is a significant difference between enzymatic and mechanical digested samples in cell stress, heat shock proteins and cell death related genes. These genes were also significantly upregulated in enzymatic over mechanical samples in the single cell RNA sequencing HNSCC tissue data. Fibroblasts and CD39+CD103+ CD8 T cells from tumor tissue, appear to require enzymatic digestion for efficient release from tissue compared to the mechanical digested samples. CD39+CD103+ CD8 tumor infiltrating lymphocytes (TILs) show different phenotypes depending on dissociation technique and tumor tissue. In tumor tissue, CD3+CD8+CD69+ T cells and gene expression were elevated in the enzymatic samples over the mechanical and baseline frozen tissue. Tissue dissociation techniques and tissue analysis from downstream applications have the potential for dissociation related artifacts that can mislead both protein and RNA sequencing data analysis in cancer research.
2023-09-19 | GSE243360 | GEO
Project description:human head and neck squamous cell carcinoma (HNSCC) to compare different tissue dissociation methods
| PRJNA1017883 | ENA
Project description:Tissue dissociation, mechanical and/or enzymatic, is a method of disaggregating 3D connective tissue to release cells for downstream single cell analysis. Without proper controls for tissue dissociation experiments, potential artifacts can be mistaken for baseline tissue data. We hypothesized that enzymatic (collagenase/hyaluronidase) compared to mechanical dissociation leads to dissociated related artifacts not found in endogenous tumor tissue. To distinguish artifacts between enzymatic and mechanical dissociation, we compared separate enzymatic and mechanical dissociated samples with baseline samples from healthy and tumor patient whole blood, melanoma and head and neck squamous cell carcinoma (HNSCC) tumor tissues in flow cytometry, RNA sequencing and CODEX experiments. In bulk sorted tumor tissue, there is a significant difference between enzymatic and mechanical digested samples in cell stress, heat shock proteins and cell death related genes. These genes were also significantly upregulated in enzymatic over mechanical samples in the single cell RNA sequencing HNSCC tissue data. Fibroblasts and CD39+CD103+ CD8 T cells from tumor tissue, appear to require enzymatic digestion for efficient release from tissue compared to the mechanical digested samples. CD39+CD103+ CD8 tumor infiltrating lymphocytes (TILs) show different phenotypes depending on dissociation technique and tumor tissue. In tumor tissue, CD3+CD8+CD69+ T cells and gene expression were elevated in the enzymatic samples over the mechanical and baseline frozen tissue. Tissue dissociation techniques and tissue analysis from downstream applications have the potential for dissociation related artifacts that can mislead both protein and RNA sequencing data analysis in cancer research.
2023-09-19 | GSE243359 | GEO
Project description:Single-cell RNA-seq of human head and neck squamous cell carcinoma (HNSCC) to compare different tissue dissociation methods
| PRJNA1017885 | ENA
Project description:This SuperSeries is composed of the SubSeries listed below.
2023-09-19 | GSE243361 | GEO
Project description:To compare the gene expression profile in HNSCC tumor cultured under various conditions
2014-11-22 | GSE63545 | GEO
Project description:To compare the gene expression profile in HNSCC tumor cultured under various conditions Primary human HNSCC tumor was cultured for upto 72 hours in presence of Autologous Serum and combination of Autologous Serum and Tissue metalloproteinases ; angiogeneesis and tissue associated microenvironment signatures were studied
2014-11-22 | E-GEOD-63545 | biostudies-arrayexpress
Project description:The involvement of microRNAs (miRNAs) in cancer and their potential as biomarkers of diagnosis, prognosis and response to therapy is becoming increasingly appreciated. The etiology of head and neck squamous cell carcinoma (HNSCC) is predominantly associated with the synergistic effects of tobacco and alcohol use, as well as Human Papilloma Virus (HPV) infection, which embodies a distinct clinical and biological phenotype. We sought to examine whether the profile of miRNAs in HNSCC varies based on HPV status, and to identify specific miRNAs altered in head and neck carcinogenesis. Total RNA was isolated from 16 HNSCC fresh frozen primary tumors, 5 fresh frozen non-diseased head and neck epithelial tissues, and 2 HNSCC cell lines. The miRNA profile of 662 individual miRNAs in these tissues was examined by microarray. 18 miRNAs are significantly altered in their expression between normal tissues and HNSCC tumors and 5 miRNAs are identified as significantly differentially expressed between HPV-positive (HPV+) and HPV-negative (HPV-) tumors. A striking difference in expression pattern of miRNA was also observed between primary tissues and cell lines. These data suggest that the pattern of miRNA expression may be reflective of disease etiology, and may be useful in the realm of diagnostic biomarkers defining broadly responsive prevention and treatment strategies for HNSCC. These data also suggest that cultured tumor cell lines may be inappropriate for novel miRNA biomarker identification. Keywords: miRNA; Disease-state analysis Expression of 662 individual miRNA was assessed in16 HNSCC fresh frozen primary tumors, 5 fresh frozen non-diseased head and neck epithelial tissues, and 2 HNSCC cell lines were arrayed
2010-05-19 | E-GEOD-11163 | biostudies-arrayexpress
Project description:Analysis of different LncRNA expression in 4 paired metastatic HNSCC and non-metastatic HNSCC samples
2023-12-27 | GSE246104 | GEO
Project description:The involvement of microRNAs (miRNAs) in cancer and their potential as biomarkers of diagnosis, prognosis and response to therapy is becoming increasingly appreciated. The etiology of head and neck squamous cell carcinoma (HNSCC) is predominantly associated with the synergistic effects of tobacco and alcohol use, as well as Human Papilloma Virus (HPV) infection, which embodies a distinct clinical and biological phenotype. We sought to examine whether the profile of miRNAs in HNSCC varies based on HPV status, and to identify specific miRNAs altered in head and neck carcinogenesis. Total RNA was isolated from 16 HNSCC fresh frozen primary tumors, 5 fresh frozen non-diseased head and neck epithelial tissues, and 2 HNSCC cell lines. The miRNA profile of 662 individual miRNAs in these tissues was examined by microarray. 18 miRNAs are significantly altered in their expression between normal tissues and HNSCC tumors and 5 miRNAs are identified as significantly differentially expressed between HPV-positive (HPV+) and HPV-negative (HPV-) tumors. A striking difference in expression pattern of miRNA was also observed between primary tissues and cell lines. These data suggest that the pattern of miRNA expression may be reflective of disease etiology, and may be useful in the realm of diagnostic biomarkers defining broadly responsive prevention and treatment strategies for HNSCC. These data also suggest that cultured tumor cell lines may be inappropriate for novel miRNA biomarker identification. Keywords: miRNA; Disease-state analysis
2008-09-30 | GSE11163 | GEO