<HashMap><database>biostudies-arrayexpress</database><scores/><additional><submitter>Maria Puschhof</submitter><organism>Homo sapiens</organism><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/E-MTAB-16843</full_dataset_link><description>Human colorectal cancer organoids were treated with the TROP2-targeting antibody-drug conjugate Sacituzumab Govitecan (SG) or non-targeting control IgG1-SN-38. Samples were harvested at different time points under treatment {0h, 3h, 6h, 9h, 12h} as well as after drug washout at 12 h on the following time points {12h + 12h, 12h + 36h, 12h + 60h}. Samples were subjected to single-cell RNA-seq using sample hashtag multiplexing.</description><repository>biostudies-arrayexpress</repository><sample_protocol>Nucleic Acid Extraction - Hashtag oligo-labelled samples were pooled (up to 12,000 cells each) and processed for single-cell RNA-sequencing using the 10X Chromium Next GEM Single Cell Reagent Kit 3.1 according to the manufacturer’s instructions (Dual Index protocol). First, cells are resuspended in a master mix and loaded onto a chip. After encapsulation, cells were lysed inside their GEMs.</sample_protocol><sample_protocol>Sequencing - Next generation sequencing was performed at the German Cancer Research Center using an Illumina NovaSeq X Plus 10B instrument (paired-end, two lanes per library).</sample_protocol><sample_protocol>Sample Collection - Organoids were harvested and washed twice with cold PBS (1500 rpm, 4 °C, 5 min). Dissociation of the organoids was achieved resuspending the pellet in TrypLE (Thermo Fisher Scientific, catalog #12605036) and incubated at 37 °C in a water bath until a homogeneous cell suspension was obtained, pipetting the mix occasionally to mechanically accelerate the dissociation process. To stop the reaction, PBS + 2% FCS was added to the solution and spin down (1 500 rpm, 4 °C, 5 min). Eventually, cells were cryopreserved until all timepoints were collected for further processing.  For sample multiplexing, frozen samples were rapidly thawed in a water bath 37 °C and transferred to a conical tube with added fresh organoid medium + 2% FBS and spin down. Cell pellet was then resuspended in 100 µL of PBS + 2% FCS with 1:50 FcR Blocking Reagent (Miltenyi Biotec, catalog #130-059-901) and stained with 1µL of hashing antibodies (Total-Seq-B, BioLegend, 0.5 µg antibody) for 30 minutes at 4 °C. Afterwards, cells were washed twice with PBS + 2% FCS. Cell pellet was then resuspended in PBS + 2% FCS added with a live/dead marker (DAPI, Invitrogen catalog # 62248 or Zombie NIR, BioLegend, catalog # 423106), filtered, and multiplexed samples were sorted for live cells in a single tube.</sample_protocol><sample_protocol>Library Construction - After cell lysis inside of GEMs, mRNA is reverse transcribed to cDNA with droplet-specific barcodes. After GEM breakdown, the library is being prepared according to the protocol including cDNA amplification by PCR in 11 cycles.</sample_protocol><figure_sub>Organization</figure_sub><figure_sub>MINSEQE Score</figure_sub><figure_sub>Assays and Data</figure_sub><figure_sub>Processed Data</figure_sub><figure_sub>MAGE-TAB Files</figure_sub><data_protocol>Data Transformation - Quality control and filtering was performed at sample level. First, the fraction of mitochondrial reads (scanpy.pp.calculate_qc_metrics) and the doublet probability per cell barcode (scanpy.external.pp.scrublet) was computed. Cells were filtered for having at least 1,200 genes, while genes were filtered for being expressed in at least 3 cells. Finally, cells with a gene count exceeding the 99.5 % percentile or with a mitochondrial fraction larger than 20 % or with a doublet score larger than 0.25 were excluded. Count matrices of high quality cells were concatenated (across samples), normalized and log1p transformed for downstream analysis.</data_protocol><data_protocol>Sequence Alignment - Reads were mapped to the human reference genome assembly refdata-gex-GRCh38-2020-A and demultiplexed into their original samples using the cellranger multi pipeline with default settings of the 10X Genomics Cell Ranger (v9.0.1).</data_protocol><omics_type>Unknown</omics_type><omics_type>Transcriptomics</omics_type><instrument_platform>Illumina NovaSeq X</instrument_platform><study_type>RNA-seq of coding RNA from single cells</study_type><species>Homo sapiens</species><pubmed_title>TROP2 targeting reveals therapy-driven cell state dynamics and vulnerabilities in colorectal cancer</pubmed_title><pubmed_authors>Nuria Vaquero-Siguero, Nikolaos Georgakopoulos, Maria C Puschhof, Ioannis Chiotakakos, Jasmin Meier, Sigrid K Fey, Gabriele Diamante, Manuel Mastel, Aitana Guiseris Martinez, Guillaume Belthier, Nikolai Schleußner, Julia Volk, Carolin Artmann, Bryce Lim, Ronald Koschny, Cyrill Wehling, Kyanna S Ouyang, Michael Günther, Solveig Kuss, Paula Hoffmeister, Moritz Mall, Jens Neumann, Steffen Ormanns, Martin Schneider, Thomas Schmidt, Jens Puschhof, Andreas Trumpp, Jacco van Rheenen, Julio Saez-Rodriguez, Bruno C Köhler, Rene Jackstadt</pubmed_authors><pubmed_authors>Maria Puschhof</pubmed_authors></additional><is_claimable>false</is_claimable><name>Time course analysis of human colorectal cancer organoid treatment with Sacituzumab Govitecan (SG) or untargeted control IgG1-SN-38</name><description>Human colorectal cancer organoids were treated with the TROP2-targeting antibody-drug conjugate Sacituzumab Govitecan (SG) or non-targeting control IgG1-SN-38. Samples were harvested at different time points under treatment {0h, 3h, 6h, 9h, 12h} as well as after drug washout at 12 h on the following time points {12h + 12h, 12h + 36h, 12h + 60h}. Samples were subjected to single-cell RNA-seq using sample hashtag multiplexing.</description><dates><release>2026-04-01T00:00:00Z</release><modification>2026-04-01T11:27:06.62Z</modification><creation>2026-04-01T11:25:40.897Z</creation></dates><accession>E-MTAB-16843</accession><cross_references><ENA>ERP191666</ENA><EFO>EFO_0002944</EFO><EFO>EFO_0004170</EFO><EFO>EFO_0005684</EFO><EFO>EFO_0004917</EFO><EFO>EFO_0005518</EFO><EFO>EFO_0003816</EFO><EFO>EFO_0004184</EFO></cross_references></HashMap>