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Series GSE225161 Query DataSets for GSE225161
Status Public on Mar 22, 2023
Title Pancreatic stellate and cancer cell transcriptomes from heterocellular, 3D invasive, cultures
Organisms Homo sapiens; Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary When combined into spheres and embedded in extracellular matrix, hetero-cellular cultures of pancreatic cancer and stellate cells produce invasive, stellate-led, projections. In order to establish what cancer and stellate cells are expressing in this context we generated chimeric spheres of mouse and human cells. Invasive spheroids could then be processed for RNA sequencing, with reads mapped back to parent species and thus cell type.
 
Overall design Two sets of human (Miapaca2 and Panc1) and mouse (DT6066, R254) pancreatic cancer cells were combined with mouse and human pancreatic stellate cells, respectively, and formed into hetero-cellular spheres. Spheres were then embedded in collagen : matrigel hydrogels and cultured for 72 hours at which point invasive projections are evident. Total RNA was obtained through Trizol extraction and processed for sequencing. Cell type specific information was then extracted my matching reads to host species and therefore cell type.
 
Contributor(s) Carter EP, Grose RP
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Submission date Feb 13, 2023
Last update date Mar 22, 2023
Contact name Ed Carter
E-mail(s) [email protected]
Organization name Barts Cancer Institute
Street address John Vane Science Centre
City London
ZIP/Postal code EC1M6BQ
Country United Kingdom
 
Platforms (1)
GPL19415 Illumina NextSeq 500 (Homo sapiens; Mus musculus)
Samples (10)
GSM7040256 Mouse cancer cells : Human stellate cells [Sample_1_DT1]
GSM7040257 Mouse cancer cells : Human stellate cells [Sample_2_DT3]
GSM7040258 Human cancer cells : Mouse stellate cells [Sample_3_M1]
Relations
BioProject PRJNA934273

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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE225161_Human_Chimera_Counts.xlsx 2.3 Mb (ftp)(http) XLSX
GSE225161_Mouse_Chimera_Counts.xlsx 4.3 Mb (ftp)(http) XLSX
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Raw data are available in SRA
Processed data are available on Series record

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