{"database":"biostudies-arrayexpress","file_versions":[],"scores":null,"additional":{"submitter":["Kohei Kumegawa"],"organism":["Homo sapiens"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/E-MTAB-16177"],"description":["Organoids were collected and signle cells were prepared in TrypLE. 10x Genomics Chromium was used for single cell capture and cDNA preparations according to the Single Cell 3' v3 Protocol recommended by the manufacturer."],"repository":["biostudies-arrayexpress"],"sample_protocol":["Sample Collection - Organoids were colected and signle cells were prepared in TrypLE.","Sequencing - Fastq files were generated by RTA in Illumina NextSeq 550.","Nucleic Acid Extraction - 10x Genomics Chromium was used for single cell capture and cDNA preparations according to the Single Cell 3' v3 Protocol recommended by the manufacturer.","Library Construction - 10x Genomics Chromium was used for single cell capture and cDNA preparations according to the Single Cell 3' v3 Protocol recommended by the manufacturer."],"figure_sub":["Organization","MINSEQE Score","Assays and Data","Processed Data","MAGE-TAB Files"],"data_protocol":["Data Transformation - 10X CellRanger was used for generating precessed data."],"omics_type":["Metabolomics","Unknown","Transcriptomics","Genomics","Proteomics"],"instrument_platform":["NextSeq 550"],"study_type":["RNA-seq of coding RNA from single cells"],"species":["Homo sapiens"],"pubmed_authors":["Kohei Kumegawa"],"additional_accession":[]},"is_claimable":false,"name":"Single-cell RNA-seq analysis of patient derived organoids from colorectal cancers","description":"Organoids were collected and signle cells were prepared in TrypLE. 10x Genomics Chromium was used for single cell capture and cDNA preparations according to the Single Cell 3' v3 Protocol recommended by the manufacturer.","dates":{"release":"2025-11-20T00:00:00Z","modification":"2026-05-27T15:34:24.553Z","creation":"2025-11-18T17:16:44.219Z"},"accession":"E-MTAB-16177","cross_references":{"ENA":["ERP185265"],"EFO":["EFO_0002944","EFO_0004170","EFO_0005684","EFO_0005518","EFO_0003816","EFO_0004184"]}}