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Single-cell RNA-seq of human head and neck squamous cell carcinoma (HNSCC) to compare different tissue dissociation methods

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE243359 | GEO | 2023/09/19

REPOSITORIES: GEO

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Project description:Purpose: Bulk transcriptomics analysis of Wilms tumor SIX2+CITED1+ cells to compare and identify unique nephron progenitor transcriptome profiling (RNA-seq) signature between unfavorable and favorable Wilms Tumors and against human fetal kidney Methods: Wilms tumor samples were collected and transported on ice at 4°C in RPMI-1640 and a single cell suspensions were prepared following mechanical and enzymatic dissociation as previously publication. Enzymatic dissociation was performed with 125 U/ml collagenase I in RPMI-1640 at 37 °C for 35 min. The digested cells were then passed through a 100-μm cell strainer and a 40-μm cell strainer with washes of 1x PBS. The cell suspension was than centrifuged at 1500 rpm for 5 min and erythrocytes were eliminated using a red blood cell lysis kit. WT SIX2+CITED1+ cells were isolated using SIX2-Cy5 and CITED1-Cy3 Smartflare RNA probes following manufacturer’s instructions and previous publication. Briefly, cells were incubated over night at 37 °C with both RNA probes diluted at 1:20 in PBS and 25ul/ml in RPMI-1640 supplemented with 5% FBS, and 0.2% antimicrobial agent Primocin. After 16-18 h, cells were dissociation using TrypLE 1x for 5 min, cells were centrifuged at 1500 rpm for 5 min and prepared for FACS. RNA extraction was performed immediately after FACS using the RNeasy Micro Kit following manufacturer’s recommendations. After cDNA production and construction of DNA libraries, the samples were run on an Illumina NextSep500 (Illumina). Differential gene expression was analyzed using ERCC ExFold probes with the Remove Unwanted Variation R/Bioconductor software package combined with edgeR Results: Transcriptomics analysis of Wilms Tumor SIX2+CITED1+ cells in comparison to different tumor types and human fetal kidneys confirmed the nephrogenic signature of hFK-SIX2+CITED1+ and WT-SIX2+CITED1+ cells but highlighted differences in expression of pluripotency and self renewal-related genes like OCT4, FOXO1, SALL, NANOG along with a lower expression of β-catenin, TCF, and other growth factors known to promote differentiation (BMPs, FGFs). Hierarchical clustering of gene expression showed shared similarities between Wilms tumor samples against human fetal kidney samples however, with major differences in gene expression between tumor-to-tumor type was also present. Conclusion: Our study represents the first transcriptomic characterization of Wilms Tumor cancer stem cells (SIX2+CITED1+) against human fetal kidney SIX2+CITED1+ cells. Identifying specify gene expression and signaling pathway profiles across different subtypes of Wilms Tumor and against human fetal kidney SIX2+CITED1+ cells.

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Single-cell RNA-seq of human head and neck squamous cell carcinoma (HNSCC) to compare different tissue dissociation methods

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