DAC
DAC for patient-derived cell line samples
Dac ID | Contact Person | Access Information | |
---|---|---|---|
EGAC00001000594 | Christian Conrad | christian [dot] conrad [at] bihealth [dot] de | No additional information is available |
This DAC controls 4 datasets:
Dataset ID | Description | Technology | Samples |
---|---|---|---|
EGAD00001003146 | We performed whole genome sequencing of nine OC patient-derived cell lines and one normal cell line (HOSEpiC) to analyze if the cell lines harbor OC-typical genomic aberrations absent in normal cells and to relate genomic features to drug sensitivities. | 10 | |
EGAD00001004131 | Pheno-seq is a new approach that integrates high-throughput imaging and transcriptomic profiling of clonal spheroids/organoids to dissect functional tumor cell heterogeneity in 3D cell culture systems. The method is based on the iCELL8 technology (TakaraBio) that uses barcoded nanowells and a micro-solenoid valve dispenser. The CRC_spheroid dataset contains demultiplexed RNA-sequencing profiles (FASTQ file format, NextSeq 500) of 95 clonal tumor spheroids derived from a patient with colorectal cancer. | NextSeq 500 | 1 |
EGAD00001005315 | NA | NextSeq 500 | 9 |
EGAD00001006185 | ALI culture bronchial cells and alveolar lung surgical resection scRNA-Seq | Illumina HiSeq 4000 | 16 |