Javascript must be enabled to continue!
Comparison of Different Approaches to Single Cell RNA Sequencing of Cancer Associated Fibroblasts
View through CrossRef
ABSTRACTBackgroundPancreatic ductal adenocarcinoma (PDAC) is a highly aggressive disease with a poor prognosis. PDAC has a high propensity for metastasis, particularly to the lungs and liver. Cancer associated fibroblasts (CAFs) represent a major stromal component of PDAC with both tumor-promoting and restraining properties. Of note, CAFs play a significant role in the creation of an immunosuppressive tumor microenvironment (TME) and the metastasis of PDAC. Studies have demonstrated functional heterogeneity among different subpopulations of CAFs, highlighting the need to identify specific subpopulations when targeting CAFs.MethodsThe orthotopic model was used for both KPC-4545 and KPC-3403 cell lines, which were derived from the primary tumors of KPC mice with liver metastases and lung metastases only, respectively. In brief, 2x106KPC cells were injected subcutaneously into the flanks of synergic female C57BI6 mice. Tumors were harvested and cut into 2-3 mm3pieces before being implanted into the pancreas of new 6–8-week-old syngeneic female C57Bl/6 mice. Murine orthotopic tumors were dissected, mechanically and enzymatically processed with Miltenyi Tumor Dissociation Kit (Miltenyi Biotec) thirteen days after tumor implantation. Samples were filtered with a 100 µm strainer, washed with T cell media, and centrifuged twice.Two different samples underwent single cell RNA-sequencing (scRNA-seq) for each cell line: an unenriched sample, which represents all cells following dissociation of the tumor, and a CAF-enriched sample. To further obtain the CAF-enriched sample, cells were then stained with CD45-AF657 (BioLegend clone 30-F11, 1:20), CD31-AF647 (BioLegend clone 390, 1:20), EPCAM-AF647 (BioLegend, clone G8.8, 1:20), and TER119-AF647 (BioLegend clone TER-119 1:20) for 30 minutes on ice. After two washes, CD45-, CD31-, EPCAM-, and TER119-negative cells, representing the CAF-enriched fraction, were obtained via cell sorting. scRNA-seq of both the unenriched and CAF-enriched fractions were performed using 10X Chromium microfluidic chips and data was analyzed using CellRanger v6.1.1, mm10 transcriptome reference, and 10X Loupe Browser.ResultsWe found that scRNA-seq of the unenriched whole tumor showed only one cluster of CAFs for both cells lines, making it difficult for studying CAF heterogeneity. Enriching for CAFs prior to scRNA-seq allowed for better capture of CAFs and provided more granularity on CAF heterogeneity for both KPC-4545 and KPC-3403.ConclusionsWhile enrichment provides more information on CAF heterogeneity, the process results in the loss of other cells within the TME. The need to capture CAF heterogeneity while studying cell-cell interaction between CAFs and other cells within the TME and identifying how distinct CAF populations respond differently to treatment warrants the use of other methods such as single-nuclear RNA-seq.
Cold Spring Harbor Laboratory
Title: Comparison of Different Approaches to Single Cell RNA Sequencing of Cancer Associated Fibroblasts
Description:
ABSTRACTBackgroundPancreatic ductal adenocarcinoma (PDAC) is a highly aggressive disease with a poor prognosis.
PDAC has a high propensity for metastasis, particularly to the lungs and liver.
Cancer associated fibroblasts (CAFs) represent a major stromal component of PDAC with both tumor-promoting and restraining properties.
Of note, CAFs play a significant role in the creation of an immunosuppressive tumor microenvironment (TME) and the metastasis of PDAC.
Studies have demonstrated functional heterogeneity among different subpopulations of CAFs, highlighting the need to identify specific subpopulations when targeting CAFs.
MethodsThe orthotopic model was used for both KPC-4545 and KPC-3403 cell lines, which were derived from the primary tumors of KPC mice with liver metastases and lung metastases only, respectively.
In brief, 2x106KPC cells were injected subcutaneously into the flanks of synergic female C57BI6 mice.
Tumors were harvested and cut into 2-3 mm3pieces before being implanted into the pancreas of new 6–8-week-old syngeneic female C57Bl/6 mice.
Murine orthotopic tumors were dissected, mechanically and enzymatically processed with Miltenyi Tumor Dissociation Kit (Miltenyi Biotec) thirteen days after tumor implantation.
Samples were filtered with a 100 µm strainer, washed with T cell media, and centrifuged twice.
Two different samples underwent single cell RNA-sequencing (scRNA-seq) for each cell line: an unenriched sample, which represents all cells following dissociation of the tumor, and a CAF-enriched sample.
To further obtain the CAF-enriched sample, cells were then stained with CD45-AF657 (BioLegend clone 30-F11, 1:20), CD31-AF647 (BioLegend clone 390, 1:20), EPCAM-AF647 (BioLegend, clone G8.
8, 1:20), and TER119-AF647 (BioLegend clone TER-119 1:20) for 30 minutes on ice.
After two washes, CD45-, CD31-, EPCAM-, and TER119-negative cells, representing the CAF-enriched fraction, were obtained via cell sorting.
scRNA-seq of both the unenriched and CAF-enriched fractions were performed using 10X Chromium microfluidic chips and data was analyzed using CellRanger v6.
1.
1, mm10 transcriptome reference, and 10X Loupe Browser.
ResultsWe found that scRNA-seq of the unenriched whole tumor showed only one cluster of CAFs for both cells lines, making it difficult for studying CAF heterogeneity.
Enriching for CAFs prior to scRNA-seq allowed for better capture of CAFs and provided more granularity on CAF heterogeneity for both KPC-4545 and KPC-3403.
ConclusionsWhile enrichment provides more information on CAF heterogeneity, the process results in the loss of other cells within the TME.
The need to capture CAF heterogeneity while studying cell-cell interaction between CAFs and other cells within the TME and identifying how distinct CAF populations respond differently to treatment warrants the use of other methods such as single-nuclear RNA-seq.
Related Results
MARS-seq2.0: an experimental and analytical pipeline for indexed sorting combined with single-cell RNA sequencing v1
MARS-seq2.0: an experimental and analytical pipeline for indexed sorting combined with single-cell RNA sequencing v1
Human tissues comprise trillions of cells that populate a complex space of molecular phenotypes and functions and that vary in abundance by 4–9 orders of magnitude. Relying solely ...
B-247 BLADE-R: streamlined RNA extraction for clinical diagnostics and high-throughput applications
B-247 BLADE-R: streamlined RNA extraction for clinical diagnostics and high-throughput applications
Abstract
Background
Efficient nucleic acid extraction and purification are crucial for cellular and molecular biology research, ...
Are Cervical Ribs Indicators of Childhood Cancer? A Narrative Review
Are Cervical Ribs Indicators of Childhood Cancer? A Narrative Review
Abstract
A cervical rib (CR), also known as a supernumerary or extra rib, is an additional rib that forms above the first rib, resulting from the overgrowth of the transverse proce...
Abstract P1-05-23: Utilities and challenges of RNA-Seq based expression and variant calling in a clinical setting
Abstract P1-05-23: Utilities and challenges of RNA-Seq based expression and variant calling in a clinical setting
Abstract
Introduction
Variant calling based on DNA samples has been the gold standard of clinical testing since the advent of Sanger sequencing. The u...
Edoxaban and Cancer-Associated Venous Thromboembolism: A Meta-analysis of Clinical Trials
Edoxaban and Cancer-Associated Venous Thromboembolism: A Meta-analysis of Clinical Trials
Abstract
Introduction
Cancer patients face a venous thromboembolism (VTE) risk that is up to 50 times higher compared to individuals without cancer. In 2010, direct oral anticoagul...
Detection of Multiple Types of Cancer Driver Mutations Using Targeted RNA Sequencing in NSCLC
Detection of Multiple Types of Cancer Driver Mutations Using Targeted RNA Sequencing in NSCLC
ABSTRACTCurrently, DNA and RNA are used separately to capture different types of gene mutations. DNA is commonly used for the detection of SNVs, indels and CNVs; RNA is used for an...
Abstract 1633: Ets2 in tumor fibroblasts promotes angiogenesis in breast cancer.
Abstract 1633: Ets2 in tumor fibroblasts promotes angiogenesis in breast cancer.
Abstract
Objective of study
Cancer associated fibroblasts (CAFs) are often thought to acquire a modified phenotype and these ‘activated’ fibroblasts h...
Characterization of RNA in exosomes secreted by human breast cancer cell lines using next-generation sequencing
Characterization of RNA in exosomes secreted by human breast cancer cell lines using next-generation sequencing
Exosomes are nanosized (30-100 nm) membrane vesicles secreted by most cell types. Exosomes have been found to contain various RNA species including miRNA, mRNA and long non-protein...

