<HashMap><database>biostudies-arrayexpress</database><scores/><additional><submitter>Elisa Balmas</submitter><organism>Homo sapiens</organism><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/E-MTAB-15308</full_dataset_link><description>iPS2-10X-seq on Neural organoid differentiation after 35days of differentiation. This experiment is a proof of principle that iPS2seq can be applied to different differentiation strategies without risk of silencing. This experiment also showed how neuro-iPSC clones differentiate preferentially towards specific neuronal lineages, which are essential to detect and exclude from the analysis to avoid misleading results.</description><repository>biostudies-arrayexpress</repository><sample_protocol>Library Construction - CG000388 Rev B (with cell multiplexing oligos). hPS-2seq barcode enrichment protocol was performed with custom primers binding on the TET repressor.</sample_protocol><sample_protocol>Sample Collection - Human neural organoids were cultured for 30 days following the protocol outlined by Velasco et al. (2019) PMID: 31168097. iPS2seq transfection pools were differentiated separately, and tetracycline was added to the treated organoids throughout the culture. Organoids were dissociated into single-cell suspensions using papain-based enzymatic digestion as described in Protocol Exchange (https://protocolexchange.researchsquare.com/article/pex-258/v1). Cell counts and live cell estimation were determined using a hemocytometer, and suspensions were adjusted to 2 million cells per tube. Then cells were labeled with CMO, sorted for vital cells and then loaded on the 10X controller.</sample_protocol><sample_protocol>Nucleic Acid Extraction - Cell Multiplexing Oligo (CMO) labeling was performed according to the manufacturer’s protocol (CG000391) with an additional washing step. Cells were pooled in equal quantities, and the cell-pooled suspension was counted to ensure a final concentration of 1,600 cells/μL to obtain a final cell recovery of 30000 cells. Single-cell libraries were prepared using the Chromium Next GEM Single Cell 3' v3.1 protocol (CG000388 Rev C). Cells were loaded on a chip G.</sample_protocol><sample_protocol>Sequencing - Nextseq 1000 P2 100 cycles with cycle allocation suggested by 10X in the user guide. Cell multiplexing barcodes were pulled in molar ratio compared to the gen expression library 1:6. iPS2seq barcodes were pulled in molar ratio compared to the gen expression library 1:20. Sequencing as 650pM loading concentration on an Illumina P2 xleap NextSeq 1000 platform using the recommended cycle configuration (R1: 28 cycles; i7: 10 cycles; i5: 10 cycles; R2: 90 cycles) with a 1% PhiX spike-in.</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 - shRNA information is atached in rc_barcodes_genes.csv to allow running CatcheR.</data_protocol><data_protocol>Data Transformation - Data provided are row. Use the atached aggregation.csv and config.csv files to run cell ranger aggr (aggregation.csv) and then cell ranger multi (config.csv)</data_protocol><data_protocol>Data Transformation - an RData file is atached with the full processed data. Data can be read in R and then it can be read and used with monocle 3. Additional txt files with data annotation and count data are  provided to be analyzed with different platforms.</data_protocol><omics_type>Unknown</omics_type><omics_type>Transcriptomics</omics_type><omics_type>Genomics</omics_type><omics_type>Proteomics</omics_type><instrument_platform>NextSeq 1000</instrument_platform><study_type>RNA-seq of coding RNA from single cells</study_type><species>Homo sapiens</species><pubmed_authors>Elisa Balmas</pubmed_authors></additional><is_claimable>false</is_claimable><name>iPS2-10X-seq Neural organoid differentiation</name><description>iPS2-10X-seq on Neural organoid differentiation after 35days of differentiation. This experiment is a proof of principle that iPS2seq can be applied to different differentiation strategies without risk of silencing. This experiment also showed how neuro-iPSC clones differentiate preferentially towards specific neuronal lineages, which are essential to detect and exclude from the analysis to avoid misleading results.</description><dates><release>2025-10-27T00:00:00Z</release><modification>2025-10-27T08:43:10.28Z</modification><creation>2025-07-03T16:16:36.517Z</creation></dates><accession>E-MTAB-15308</accession><cross_references><ENA>ERP174607</ENA><Biostudies>E-MTAB-15307</Biostudies><EFO>EFO_0002944</EFO><EFO>EFO_0004170</EFO><EFO>EFO_0005684</EFO><EFO>EFO_0005518</EFO><EFO>EFO_0003816</EFO><EFO>EFO_0004184</EFO></cross_references></HashMap>