{"database": "metadata", "table": "run_metadata", "rows": [[24802, "SRR25509954", "SRX21240523", "SRS18495446", "SRP453227", "PRJNA1001940", "Determinants of Motor Neuron Functional Subtypes Important for Locomotor Speed", "GSE240026", "Transcriptome Analysis", "Locomotion requires precise control of the strength and speed of muscle contraction and is achieved by recruiting functionally distinct subtypes of motor neurons MNs. MNs are essential to movement and differentially susceptible in disease  but little is known about how MNs acquire functional subtype specific features during development. Using single cell RNA profiling in embryonic and larval zebrafish  we identify novel and conserved molecular signatures for MN functional subtypes  and identify genes expressed in both early post mitotic and mature MNs. Assessing MN development in genetic mutants  we define a molecular program essential for MN functional subtype specification. Two evolutionarily conserved transcription factors  Prdm16 and Mecom  are both functional subtype specific determinants integral for fast MN development. Loss of prdm16 or mecom causes fast MNs to develop transcriptional profiles and innervation similar to slow MNs. These results reveal the molecular diversity of vertebrate axial MNs and demonstrate that functional subtypes are specified through intrinsic transcriptional codes. Overall design: Spinal cord MNs of WT  prdm16 /   and mecom  /  zebrafish embryos at two developmental timepoints 2dpf and 5dpf were isolated by fluorescence activated cell sorting FACS according to the presence of dsRed and GFP signal  then analyzed using scRNAseq.", null, "pubmed:37676768", null, "Spinal cord MNs  olig2dsRed  prdm16:gal4UASGFP   mecom  /   5dpf  scRNAseq", "GSM7680088", null, "source name:tail|tissue:tail|genotype:olig2dsRed  mecom /   prdm16:gal4UASGFP|age:5dpf|cell type:Spinal cord MNs|geo loc name:missing|collection date:missing", "Spinal cord MNs  olig2dsRed  prdm16:gal4UASGFP   mecom  /   5dpf  scRNAseq", "The demultiplexing  barcoded processing  gene counting and aggregation were made using the Cell Ranger software v5.0.1 https://support.10xgenomics.com/single cell gene expression/software/pipelines/latest/what is cell ranger Assembly: build GRCz11 Supplementary files format and content: h5 files", "tail", null, "DsRed positive cells were isolated from 2 dpf or 5 dpf control  mecom mutant  or prdm16 mutant zebrafish embryos on an Tgolig2:DsRed2 or Tgprdm16::GFP;Tgolig2:DsRed2 background. Trunk and tail tissue were separated from cranial tissue. Tissue was then finely chopped using a razor blade  dissociated using papain  filtered  and resuspended for sorting. Cells were sorted using the Sony SH800 FACS Cell Sorter. GFP   DsRed2   and single fluorophore control embryos were also included as controls for the FACS setup. DAPI was used for a live/dead marker. Sorted cells were then counted using a hemocytometer and spun down to resuspend at a higher concentration. Cells were then processed using the standard 10x Genomics and CellRangerv5.0.1 pipeline 89. Raw sequencing reads were mapped to the zebrafish reference genome build GRCz11. Library was performed according to the manufacter\u2019s instructions single cell 3\u2019 v2 protocol  10x Genomics.", null, "tissue:tail|genotype:olig2dsRed  mecom /   prdm16:gal4UASGFP|age:5dpf|cell type:Spinal cord MNs", "GSM7680088", "GSM7680088: Spinal cord MNs  olig2dsRed  prdm16:gal4UASGFP   mecom  /   5dpf  scRNAseq; Danio rerio; RNA Seq", "GSM7680088 r1", "GSM7680088", "1", "DsRed positive cells were isolated from 2 dpf or 5 dpf control  mecom mutant  or prdm16 mutant zebrafish embryos on an Tgolig2:DsRed2 or Tgprdm16::GFP;Tgolig2:DsRed2 background. Trunk and tail tissue were separated from cranial tissue. Tissue was then finely chopped using a razor blade  dissociated using papain  filtered  and resuspended for sorting. Cells were sorted using the Sony SH800 FACS Cell Sorter. GFP   DsRed2   and single fluorophore control embryos were also included as controls for the FACS setup. DAPI was used for a live/dead marker. Sorted cells were then counted using a hemocytometer and spun down to resuspend at a higher concentration. Cells were then processed using the standard 10x Genomics and CellRangerv5.0.1 pipeline 89. Raw sequencing reads were mapped to the zebrafish reference genome build GRCz11. Library was performed according to the manufacter's instructions single cell three prime v2 protocol  10x Genomics.", null, "RNA-Seq", "TRANSCRIPTOMIC SINGLE CELL", "cDNA", "PAIRED", "ILLUMINA", "Illumina NovaSeq 6000", null, "SRP453227", null, "loader:fastq load.py", "MECOM_minus_S31_L001_I1_001.fastq.gz MECOM_minus_S31_L001_R1_001.fastq.gz MECOM_minus_S31_L001_R2_001.fastq.gz", "fastq fastq fastq", 5279309101.0, 41569363.0, "GSM7680088 r5", "0:8 1:28 2:91", "A:1122213686;C:789300425;G:868235888;T:1002988275;N:73759", 8, 28, 91, null, 1122213686, 789300425, 868235888, 1002988275, 73759, "SRX21240523", "SRS18495446", "SRA1686067", "Dasen, Neuroscience Institute, New York University Grossman School of Medicine", "Dasen, Neuroscience Institute, New York University Grossman School of Medicine", 1, 0.91638, null, 0.23107, null, 0.75795, null, 0.51508, null, 91, null, "B", null, "usable mapping rate", "illumina", "novaseq_era", "unknown", "cdna_unspecified", "unknown", "sc", "single_cell_droplet", "10x", null, "United States", "2023-08-03", "Larval", "Larval", "Tail", "Multi-system"]], "columns": ["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"], "primary_keys": ["rowid"], "primary_key_values": ["24802"], "units": {}, "query_ms": 6.920603002072312}