run_metadata: 66176
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 66176 | SRR15931549 | SRX12221647 | SRS10197714 | SRP337628 | PRJNA764222 | Loss of autism candidate CHD8 perturbs neural crest development and intestinal homeostatic balance [scRNA seq] | GSE184363 | Transcriptome Analysis | Individuals with mutations in CHD8 present with gastrointestinal complaints yet the underlying mechanisms are understudied. Here utilizing a stable constitutive chd8 mutant zebrafish model we found that the loss of chd8 leads to reduced number of vagal neural crest cells NCCs enteric neural and glial progenitors emigrating from the neural tube and that their early migration capability was altered. At later stages although the intestinal colonization by the NCCs was complete we found decreased numbers of both serotonin producing enterochromaffin cells and NCC derived serotonergic neurons suggesting an intestinal hyposerotonemia in absence of chd8. Further transcriptomic analyses revealed altered expression of key receptors and enzymes in serotonin and acetylcholine signaling pathways. Tissue examination of chd8 mutants revealed thinner intestinal epithelium accompanied by accumulation of neutrophils and decreased numbers of goblet cells and eosinophils. Last single cell sequencing of whole intestines showed a global disruption of the immune balance with perturbed expression of inflammatory interleukins and changes in immune cell clusters. Our findings propose a causal developmental link between chd8 NCC development intestinal homeostasis and autism associated gastrointestinal complaints. Overall design: 2 samples were analyzed: 1 chd8+/+ wild type and 1 chd8sa19827/sa19827 homogous mutants. Each sample is comprised of dissociated cells from the mid and posterior intestine of 3 adult zebrafish. | parent bioproject:PRJNA764218 | pubmed:36375841 | chd8 KO | GSM5585126 | tissue:Intestinal cells|genotype:chd8 / | chd8 KO | Alignment barcode and UMI filtering and counting were performed with Cell Ranger 3.1.0 count using GRCz11 assembly and Ensembl release 98 annotations. Genome build: GRCz11 Supplementary files format and content: Filtered contains only detected cellular barcodes feature barcode matrix each element of the matrix is the number of UMIs associated with a feature row and a barcode column in Market Exchange Format MEX and gzipped. Supplementary files format and content: Gzipped tsv files with feature and barcode sequences corresponding respectively to row and column indices from the matrix. | Intestinal cells | chd8+/+ and homozygous chd8 sa19827/sa19827 male adult zebrafish were euthanized in 800 µg/ml tricaine solution. The fish were dissected their guts were harvested and placed in RPMI at room temperature. The guts were rolled on paper moistened with RPMI to remove the fat residue then placed in RPMI with 10% fetal calf serum and cut into small pieces that were placed in 1 ml of digestion medium 1 ml of RPMI 12 µl of activated fetal calf serum 10 mg of dispase collagenase for 15 minutes at 37 °C under agitation at 500 rpm. The cells were then filtered on a cell filter diameter 40 µm Dutscher ref 141378C using the plunger of 1 ml syringe. Cell number and viability were determined by a Trypan Blue exclusion assay on a Neubauer Chamber. Samples consisted of > 90 % viable cells were processed on the Chromium Controller from 10X Genomics Leiden The Netherlands. 10 000 total cells were loaded per well to yield approximately 6 500 captured cells into nanoliter scale Gel Beads in Emulsion GEMs. Single cell 3’ mRNA seq library were generated according to 10X Genomics User Guide for Chromium Single Cell 3’ Reagent Kits v3 Chemistry. Briefly GEMs were generated by combining barcoded gel beads a RT master mix containing cells and partitioning oil onto Chromium Chip B. Following full length cDNA synthesis and barcoding from poly adenylated mRNA GEMs were broken and pooled before cDNA amplification by PCR using 11 cycles. post enzymatic fragmentation and size selection sequencing library were constructed by adding Illumina Paris France P5 and P7 primers as well as sample index via end repair A tailing adaptor ligation and PCR with 14 cycles. Library quantification and quality control was performed using Bioanalyzer 2100 Agilent Technologies Santa Clara CA. | genotype:chd8 / | GSM5585126 | GSM5585126: chd8 KO; Danio rerio; RNA Seq | GSM5585126 | 1 | chd8+/+ and homozygous chd8 sa19827/sa19827 male adult zebrafish were euthanized in 800 µg/ml tricaine solution. The fish were dissected their guts were harvested and placed in RPMI at room temperature. The guts were rolled on paper moistened with RPMI to remove the fat residue then placed in RPMI with 10% fetal calf serum and cut into small pieces that were placed in 1 ml of digestion medium 1 ml of RPMI 12 µl of activated fetal calf serum 10 mg of dispase collagenase for 15 minutes at 37 °C under agitation at 500 rpm. The cells were then filtered on a cell filter diameter 40 µm Dutscher ref 141378C using the plunger of 1 ml syringe. Cell number and viability were determined by a Trypan Blue exclusion assay on a Neubauer Chamber. Samples consisted of > 90 % viable cells were processed on the Chromium Controller from 10X Genomics Leiden The Netherlands. 10 000 total cells were loaded per well to yield approximately 6 500 captured cells into nanoliter scale Gel Beads in Emulsion GEMs. Single cell three prime mRNA seq library were generated according to 10X Genomics User Guide for Chromium Single Cell three prime Reagent Kits v3 Chemistry. Briefly GEMs were generated by combining barcoded gel beads a RT master mix containing cells and partitioning oil onto Chromium Chip B. Following full length cDNA synthesis and barcoding from poly adenylated mRNA GEMs were broken and pooled before cDNA amplification by PCR using 11 cycles. post enzymatic fragmentation and size selection sequencing library were constructed by adding Illumina Paris France P5 and P7 primers as well as sample index via end repair A tailing adaptor ligation and PCR with 14 cycles. Library quantification and quality control was performed using Bioanalyzer 2100 Agilent Technologies Santa Clara CA. | GEO Accession:GSM5585126 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 550 | SRP337628 | GLHT10.R1.fastq.gz GLHT10.R2.fastq.gz | fastq fastq | 64945652822.0 | 391218083.0 | GSM5585126 r1 | 0:67.32 1:98.69 | A:18328460514;C:11753978727;G:12225228372;T:22573401879;N:64583330 | 67 | 98 | 18328460514 | 11753978727 | 12225228372 | 22573401879 | 64583330 | SRX12221647 | SRS10197714 | SRA1296109 | GEO | IGBMC | 2 | 0.00942 | 0.92207 | 0.00301 | 0.14877 | 0.99324 | 0.82416 | 0.42574 | 0.69119 | 28 | 96 | T | B | sc-like readlen | illumina | nextseq | 3prime | poly_a | unknown | sc | single_cell_droplet | 10x | France | 2021-09-17 | Adult | Adult | Gut | Digestive System |