run_metadata: 15625
This data as json
| rowid | run.accession | experiment.accession | sample.accession | study.accession | bioproject | study.title | study.alias | study.type | study.abstract | study.attributes | study.PMIDs | sample.description | sample.title | sample.alias | sample.centername | sample.attributes | GEOsample.title | GEOsample.dataprocessing | GEOsample.source | GEOsample.treatmentprotocol | GEOsample.extractprotocol | GEOsample.growthprotocol | GEOsample.characteristics | GEOsample.accession | experiment.title | experiment.alias | experiment.library_name | experiment.design_description | experiment.library_construction_protocol | experiment.attributes | experiment.library_strategy | experiment.library_source | experiment.library_selection | experiment.library_layout | experiment.platform | experiment.instrument_model | experiment.spot_descriptor | experiment.study_ref | run.title | run.attributes | run.filename | run.semantic_name | run.total_bases | run.total_spots | run.alias | run.read_lengths | run.base_counts | run.r1_length | run.r2_length | run.r3_length | run.r4_length | run.Acount | run.Ccount | run.Gcount | run.Tcount | run.Ncount | run.experiment | run.pool_member | submission.accession | submission.srasource | submission.bioprojectsource | seqdetective.n_mates | seqdetective.mapping_rate.mate1 | seqdetective.mapping_rate.mate2 | seqdetective.nofeature_rate.mate1 | seqdetective.nofeature_rate.mate2 | seqdetective.sparsity.mate1 | seqdetective.sparsity.mate2 | seqdetective.pos_strand_rate.mate1 | seqdetective.pos_strand_rate.mate2 | seqdetective.readlen.mate1 | seqdetective.readlen.mate2 | seqdetective.judgement.mate1 | seqdetective.judgement.mate2 | seqdetective.judgement.reason | platform_family | instrument_generation | read_bias | selection_class | prep_kit | sc_or_bulk | tech_class | technology | tech_variant | submission.bioprojectsource.country | earliest_date | devstage_curation | devstage_curation_coarse | tissue_curation | tissue_curation_coarse |
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| 15625 | ERR13109739 | ERX12481363 | ERS19896180 | ERP160330 | PRJEB75769 | Single cell omics sequencing of kidney marrow cells from heterozygous gata2b mutated and wild type zebrafish | E-MTAB-14075 | Transcriptome Analysis | The transcription factor GATA2 plays a major role in the generation and maintenance of the hematopoietic system. In humans heterozygous germline mutations in GATA2 often lead to a loss of function of one allele causing GATA2 haploinsufficiency. In mice Gata2 has an essential regulatory function in hematopoietic stem cell HSC generation and maintenance. However whereas Gata2 null mice are lethal at embryonic day E 10.53 Gata2 heterozygous Gata2+/ mice survive to maturity with normal blood values. However mouse models thus emerged as a useful source to identify the function of GATA2 in HSC generation and fitness they leave the mechanisms causing the different aspects of GATA2 deficiency syndrome largely undiscovered. Zebrafish have the advantage of having two GATA2 orthologues; Gata2a and Gata2b. Gata2a is expressed predominantly in the vasculature and is required for programming of the hemogenic endothelium. Gata2b is expressed in hematopoietic stem/progenitor cells HSPCs and homozygous deletion gata2b / redirects HSPCs differentiation bias thus mimicking one of the GATA2 haploinsufficiency phenotypes found in patients. But patients carry heterozygous rather than homozygous GATA2 mutations we specifically focused on how heterozygous Gata2b mutations could be mechanistically linked to erythro myelodysplasia a major clinical hallmark of GATA2 patients. To investigate the mechanisms of heterozygous GATA2 mutation caused GATA2 deficiency syndrome we created a heterozygous gata2b mutation zebrafish model and sorted the entire progenitor and HSPC population including the lymphoid population from kidney marrow KM of WT and mutated zebrafish based on the scatter profile of flow cytometry for single cell RNA scRNA sequencing. | ENA FIRST PUBLIC:2024 11 05|ENA LAST UPDATE:2024 11 05 | Protocols: Adult zebrafish were euthanized kidney marrow was isolated and dissociated by pipetting in PBS/10% FCS. 7 AAD 7 amino actinomycin D 0.5mg/L BD biosciences was used for live/dead discrimination. Sorting was performed using FACSAriaIII BD. 70.000 single viable cells were sorted from 2 pooled kidney marrow of female TgCD41:GFP zebrafish and supplemented with 114 1607 CD41:GFPlow expressing cells. cDNA was prepared using the manufacturers protocol 10x Chromium V3. Library was prepared using the manufacturers protocol 10x Chromium V3. | Het aged | SAMEA115618600 | Department of Hematology cancer institute ErasmusMC | ENA first public:2024 11 05|INSDC center name:Department of Hematology cancer institute ErasmusMC|INSDC status:public|Submitter Id:E MTAB 14075:Het aged|age:18|broker name:ArrayExpress|cell type:hematopoietic cell|collection date:not collected|common name:zebrafish|developmental stage:adult|genotype:Gata2bHet|geographic location country and/or sea:not collected|individual:pools of 2 fish|isolate:not applicable|organism part:kidney marrow|sample name:E MTAB 14075:Het aged|scientific name:Danio rerio|sex:mixed|strain:TgCD41:GFP; runx1:DsRed Gata2b KO | Single cell omics sequencing of kidney marrow cells from heterozygous gata2b mutated and wild type zebrafish | E MTAB 14075:Het aged p | Het aged p | Single cell omics sequencing of kidney marrow cells from heterozygous gata2b mutated and wild type zebrafish | Adult zebrafish were euthanized kidney marrow was isolated and dissociated by pipetting in PBS/10% FCS. 7 AAD 7 amino actinomycin D 0.5mg/L BD biosciences was used for live/dead discrimination. Sorting was performed using FACSAriaIII BD. 70.000 single viable cells were sorted from 2 pooled kidney marrow of female TgCD41:GFP zebrafish and supplemented with 114 1607 CD41:GFPlow expressing cells. cDNA was prepared using the manufacturers protocol 10x Chromium V3. Library was prepared using the manufacturers protocol 10x Chromium V3. | RNA-Seq | TRANSCRIPTOMIC SINGLE CELL | RANDOM | PAIRED | ILLUMINA | Illumina NovaSeq 6000 | ERP160330 | Illumina NovaSeq 6000 paired end sequencing; Single cell omics sequencing of kidney marrow cells from heterozygous gata2b mutated and wild type zebrafish | ENA FIRST PUBLIC:2024 11 05|ENA LAST UPDATE:2024 11 05 | Het_aged_S13_L002_I1_001.fastq.gz Het_aged_S13_L002_R1_001.fastq.gz Het_aged_S13_L002_R2_001.fastq.gz | fastq fastq fastq | 2430576292.0 | 19138396.0 | E MTAB 14075:Het aged S13 L002 | 0:8 1:28 2:91 | A:476457271;C:411953563;G:422659830;T:430445714;N:77658 | 8 | 28 | 91 | 476457271 | 411953563 | 422659830 | 430445714 | 77658 | ERX12481363 | ERS19896180 | ERA30396266 | European Bioinformatics Institute|European Nucleotide Archive | European Bioinformatics Institute|European Nucleotide Archive | B | usable mapping rate | illumina | novaseq_era | unknown | random_priming | unknown | sc | single_cell_droplet | 10x | United Kingdom | 2024-11-05 | Adult | Adult | Multi-tissue | Multi-system |