run_metadata: 24967
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 24967 | SRR25557924 | SRX21286763 | SRS18536876 | SRP453891 | PRJNA1003032 | Molecular Analyses of V0v Spinal Interneurons and Identification of Transcriptional Regulators Downstream of Evx1 and Evx2 in These Cells. [scRNA Seq] | GSE240239 | Transcriptome Analysis | Background: V0v spinal interneurons are highly conserved glutamatergic commissural neurons that function in locomotor circuits. We have previously shown that Evx1 and Evx2 are required to specify the neurotransmitter phenotype of these cells. However we still know very little about the gene regulatory networks that act downstream of these transcription factors in V0v cells. Methods: To identify candidate members of V0v gene regulatory networks we FAC sorted WT and evx1;evx2 double mutant zebrafish V0v spinal interneurons and expression profiled them using microarrays and scRNA seq. We also used in situ hybridization to compare expression of a subset of candidate genes in evx1;evx2 mutants and wild type siblings. Results: Our data reveal two molecularly distinct subtypes of V0v spinal interneurons at 48 h and suggest that by this stage of development evx1;evx2 double mutant cells transfate into either inhibitory spinal interneurons or motoneurons. Our results also identify 25 transcriptional regulator genes that require Evx1/2 for their expression in V0v interneurons plus a further 11 transcriptional regulator genes that are repressed in V0v interneurons by Evx1/2. Two of the latter genes are hmx2 and hmx3a. Intriguingly we show that Hmx2/3a repress dI2 interneuronal expression of skor1a and nefma two genes that require Evx1/2 for their expression in V0v interneurons. This suggests that Evx1/2 might regulate skor1a and nefma expression in V0v interneurons by repressing Hmx2/3a expression. Conclusions: This study identifies two molecularly distinct subsets of V0v spinal interneurons as well as multiple transcriptional regulators that are strong candidates for acting downstream of Evx1/2 to specify the essential functional characteristics of V0v interneurons. Our data further suggest that in the absence of both Evx1 and Evx2 V0v spinal interneurons initially change their neurotransmitter phenotypes from excitatory to inhibitory and then later start to express markers of distinct types of inhibitory spinal interneurons or motoneurons. Taken together our findings significantly increase our knowledge of V0v spinal development and move us closer towards the essential goal of identifying the complete gene regulatory networks that specify this crucial cell type. Overall design: Two samples were analysed in total both at 48 hpf. These two samples represent two biological replicates of all V0v spinal interneurons isolated from embryos from an incross of heterozygous evx1i232/+;evx2sa140/+;Tgevx1:EGFPSU2 parents. | parent bioproject:PRJNA1003022 | pubmed:38017520 | MUTSU2 AllGFP S5 | GSM7688796 | source name:Spinal Cord|tissue:Spinal Cord|cell line:Tgevx1:EGFPSU2|cell type:V0v spinal interneurons|genotype:evx1i232/+;evx2sa140/+ incross|treatment:N1|geo loc name:missing|collection date:missing | MUTSU2 AllGFP S5 | We performed demultiplexing and counts analysis as per the manufacturer’s instructions using Cell Ranger v4.0.0 software https://www.10xgenomics.com We analyzed the data using Partek Flow Genomic Analysis Software https://www.partek.com/partek flow/. Multiplets were removed by filtering out cells with >12 000 counts and >2 500 detected genes. Sick and/or “leaky” cells were removed by filtering out cells with <500 detected genes and >6% mitochondrial transcripts. We normalized the data using a counts per million CPM algorithm and applied a logarithmic transformation to improve data visualization. The outcome of normalisation was assessed by principal components analysis PCA graph based clustering and Uniform Manifold Approximation and Projection UMAP plotting using the NN Descent method of nearest neighbour type calculation and Euclidean distance metrics. We manually inspected UMAP plots to assess clustering quality based on expression of known V0v spinal interneuron markers. We then fine tuned the clustering by manually deducing and extrapolating cell fate assignments by comparing expression profiles of 48 hpf single cell clusters with the molecular phenotypes of V0v spinal interneurons in 24 hpf and 30 hpf wild type evx1i232 and evx2sa140 single mutant and evx1i232;evx2sa140 double mutant embryos. To perform differential expression analysis in Partek Flow we used the statistically robust Hurdle Model two part model with default parameters. We initially analyzed the two libraries separately. We then combined the data from these two libraries using the Counts Aggregation pipeline in Cell Ranger v4.0.0 and reanalyzed the data as described above. Assembly: Lawson Lab zebrafish transcriptome V4.3.2 https://www.umassmed.edu/lawson lab/reagents/zebrafish transcriptome/ Supplementary files format and content: Tab separated and matrix files. | Spinal Cord | Embryos were screened for fluorescence from 30 hpf onwards using a fluorescent dissecting microscope. Only EGFP positive embryos were used for dissections and FACS at 48 hpf. Embryos were deyolked dissected and dissociated as described in GSE145916 with the following modifications: Trunk tissue was dissected anteriorly at the boundary between the hindbrain and spinal cord and posteriorly immediately above the end of the yolk extension. To ensure complete dissociation of trunk tissue with the Papain Dissociation System Worthington Biochemical Corporation LK003150 trunks were incubated in 1 ml Papain/DNase mix with gentle rocking at 28.5oC for 40 minutes. The digested tissue was then allowed to settle for 10 seconds before the Papain/DNase mix was carefully decanted until approximately 500 µl remained. Immediately post homogenising the digested tissue mixture with a sterile p200 tip we passed each sample through a 40 µm Flowmi cell strainer Merck BAH136800040 into a sterile microcentrifuge tube. post Papain inactivation samples were resuspended in 1 ml Leibovitz’s L 15 medium ThermoFisher Scientific 21083027 + 0.5% FBS and stored on ice. Immediately before FACS DAPI Merck D9542 and Draq5 BioLegend 424101 were added at a final concentration of 5 µg/ml and 5 µM respectively. FACS was performed using a Becton Dickinson FACS Aria III Cell Sorter at the SUNY Upstate Medical University Research Flow Core using the parameters described by Cerda et al. 2008 with the following modifications. Ice cold samples were filtered through 35 µm mesh strainers in to 5 ml round bottomed polystyrene tubes Corning Falcon 352235. All FAC sorting and collection steps were performed at +4oC using a 100 µm nozzle and 20 psi sort pressure. Successive doublet exclusion gates forward scatter height x forward scatter width followed by side scatter height x side scatter width were used to finesse capture of real single cells. Accurate live/dead filtering was performed by selecting for DAPI negative sick cells are DAPI permeant and excluded and Draq 5 positive only healthy nuclei are Draq 5 permeant cells. EGFP positive cells were sorted and fixed using a methanol fixation protocol modified from the 10x Genomics Sample Preparation Demonstrated Protocol “Methanol Fixation of Cells for Single Cell RNA Sequencing” https://www.10xgenomics.com. EGFP positive cells were sorted directly in to 5 ml round bottomed tubes containing 3.5 mls of freshly made pre chilled 90% methanol for HPLC >99% Merck 34860/10% Dulbecco’s Phosphate Buffered Saline DPBS No calcium No magnesium Merck D8537 fixative. A tube of EGFP negative cells was also collected to assess fixation efficiency. Sorted cells were incubated on ice for 1 hour before assessing fixation efficiency of the EGFP negative control tube using Trypan Blue ThermoFisher Scientific 15250061 and a hemocytometer. Samples with intact fully fixed cells containing little or no cell debris were stored at +4oC for up to six days prior to rehydrating and performing single cell capture with the 10x Genomics Chromium system please see below. To rehydrate our fixed EGFP positive 48 hpf evx1i232;evx2sa140;Tgevx1:EGFPSU2 cells we first centrifuged each sample at 300 rcf for 10 minutes at +4oC using a swing bucket centrifuge. Next we carefully removed the majority of the supernatant with a sterile p1000 tip until approximately 100 µl remained in the tube. Samples were kept on ice at all times. Each cell pellet was then gently resuspended by adding 2 ml of freshly made pre chilled Rehydration Buffer 1x Dulbecco’s Phosphate Buffered Saline no calcium no magnesium Merck D8537 1.0% UltraPure BSA ThermoFisher Scientific AM2616 0.5 u/µl Roche Protector RNase Inhibitor Merck 3335402001 and gently pipetting 10 times. It is important to avoid making foam. We repeated the centrifugation and resuspension in Rehydration Buffer steps as previously. post the second Rehydration step we again centrifuged at 300 rcf for 10 minutes at +4oC before carefully removing all but 30 40 µl of supernatant. Using a sterile p200 tip we carefully resuspended the cell pellet and immediately measured the cell concentration in triplicate using a Bio Rad TC20 automated cell counter Bio Rad 1450102. We also checked a small aliquot under a conventional microscope to ensure we had single cell suspensions. As described by 10x Genomics in their Sample Preparation Demonstrated Protocol “Methanol Fixation of Cells for Single Cell RNA Sequencing” https://www.10xgenomics.com we too recovered approximately 50% of the sorted cells post rehydration. We isolated single cells using a 10x Genomics Chromium system aiming for capture of 10 000 cells per well Chromium Next GEM Chip G Single Cell Kit 1000127. We prepared libraries using a 10x Genomics Chromium Next GEM Single Cell 3’ GEM Library and Gel Bead Kit v3.1 10x Genomics 1000128 and sequenced them on an Illumina NextSeq500 to a depth of at least 50 000 reads per cell Illumina NextSeq 500/500 High Output Kit v2.5 150 cycles 20024907. | Embryos obtained from crossing heterozygous evx1i232/+;evx2sa140/+;Tgevx1:EGFPSU2 parents were raised at 28.5oC until they reached the desired developmental stage of 48 hpf as confirmed by analysis of morphological criteria including head trunk angle head and eye size. | tissue:Spinal Cord|cell line:Tgevx1:EGFPSU2|cell type:V0v spinal interneurons|genotype:evx1i232/+;evx2sa140/+ incross|treatment:N1 | GSM7688796 | GSM7688796: MUTSU2 AllGFP S5; Danio rerio; RNA Seq | GSM7688796 r1 | GSM7688796 | 1 | Embryos were screened for fluorescence from 30 hpf onwards using a fluorescent dissecting microscope. Only EGFP positive embryos were used for dissections and FACS at 48 hpf. Embryos were deyolked dissected and dissociated as described in GSE145916 with the following modifications: Trunk tissue was dissected anteriorly at the boundary between the hindbrain and spinal cord and posteriorly immediately above the end of the yolk extension. To ensure complete dissociation of trunk tissue with the Papain Dissociation System Worthington Biochemical Corporation LK003150 trunks were incubated in 1 ml Papain/DNase mix with gentle rocking at 28.5oC for 40 minutes. The digested tissue was then allowed to settle for 10 seconds before the Papain/DNase mix was carefully decanted until approximately 500 µl remained. Immediately post homogenising the digested tissue mixture with a sterile p200 tip we passed each sample through a 40 µm Flowmi cell strainer Merck BAH136800040 into a sterile microcentrifuge tube. post Papain inactivation samples were resuspended in 1 ml Leibovitz's L 15 medium ThermoFisher Scientific 21083027 + 0.5% FBS and stored on ice. Immediately before FACS DAPI Merck D9542 and Draq5 BioLegend 424101 were added at a final concentration of 5 µg/ml and 5 µM respectively. FACS was performed using a Becton Dickinson FACS Aria III Cell Sorter at the SUNY Upstate Medical University Research Flow Core using the parameters described by Cerda et al. 2008 with the following modifications. Ice cold samples were filtered through 35 µm mesh strainers in to 5 ml round bottomed polystyrene tubes Corning Falcon 352235. All FAC sorting and collection steps were performed at +4oC using a 100 µm nozzle and 20 psi sort pressure. Successive doublet exclusion gates forward scatter height x forward scatter width followed by side scatter height x side scatter width were used to finesse capture of real single cells. Accurate live/dead filtering was performed by selecting for DAPI negative sick cells are DAPI permeant and excluded and Draq 5 positive only healthy nuclei are Draq 5 permeant cells. EGFP positive cells were sorted and fixed using a methanol fixation protocol modified from the 10x Genomics Sample Preparation Demonstrated Protocol “Methanol Fixation of Cells for Single Cell RNA Sequencing” https://www.10xgenomics.com. EGFP positive cells were sorted directly in to 5 ml round bottomed tubes containing 3.5 mls of freshly made pre chilled 90% methanol for HPLC >99% Merck 34860/10% Dulbecco's Phosphate Buffered Saline DPBS No calcium No magnesium Merck D8537 fixative. A tube of EGFP negative cells was also collected to assess fixation efficiency. Sorted cells were incubated on ice for 1 hour before assessing fixation efficiency of the EGFP negative control tube using Trypan Blue ThermoFisher Scientific 15250061 and a hemocytometer. Samples with intact fully fixed cells containing little or no cell debris were stored at +4oC for up to six days prior to rehydrating and performing single cell capture with the 10x Genomics Chromium system please see below. To rehydrate our fixed EGFP positive 48 hpf evx1i232;evx2sa140;Tgevx1:EGFPSU2 cells we first centrifuged each sample at 300 rcf for 10 minutes at +4oC using a swing bucket centrifuge. Next we carefully removed the majority of the supernatant with a sterile p1000 tip until approximately 100 µl remained in the tube. Samples were kept on ice at all times. Each cell pellet was then gently resuspended by adding 2 ml of freshly made pre chilled Rehydration Buffer 1x Dulbecco's Phosphate Buffered Saline no calcium no magnesium Merck D8537 1.0% UltraPure BSA ThermoFisher Scientific AM2616 0.5 u/µl Roche Protector RNase Inhibitor Merck 3335402001 and gently pipetting 10 times. It is important to avoid making foam. We repeated the centrifugation and resuspension in Rehydration Buffer steps as previously. post the second Rehydration step we again centrifuged at 300 rcf for 10 minutes at +4oC before carefully removing all but 30 40 µl of supernatant. Using a sterile p200 tip we carefully resuspended the cell pellet and immediately measured the cell concentration in triplicate using a Bio Rad TC20 automated cell counter Bio Rad 1450102. We also checked a small aliquot under a conventional microscope to ensure we had single cell suspensions. As described by 10x Genomics in their Sample Preparation Demonstrated Protocol “Methanol Fixation of Cells for Single Cell RNA Sequencing” https://www.10xgenomics.com we too recovered approximately 50% of the sorted cells post rehydration. We isolated single cells using a 10x Genomics Chromium system aiming for capture of 10 000 cells per well Chromium Next GEM Chip G Single Cell Kit 1000127. We prepared libraries using a 10x Genomics Chromium Next GEM Single Cell three prime GEM Library and Gel Bead Kit v3.1 10x Genomics 1000128 and sequenced them on an Illumina NextSeq500 to a depth of at least 50 000 reads per cell Illumina NextSeq 500/500 High Output Kit v2.5 150 cycles 20024907. | RNA-Seq | TRANSCRIPTOMIC SINGLE CELL | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP453891 | loader:fastq load.py | MUTSU2_AllGFP-S5_S3_L001_I1_001.fastq.gz MUTSU2_AllGFP-S5_S3_L001_R1_001.fastq.gz MUTSU2_AllGFP-S5_S3_L001_R2_001.fastq.gz | fastq fastq fastq | 783833459.0 | 6171917.0 | GSM7688796 r1 | 0:8 1:28 2:91 | A:165863131;C:117191802;G:128146802;T:150173329;N:269383 | 8 | 28 | 91 | 165863131 | 117191802 | 128146802 | 150173329 | 269383 | SRX21286763 | SRS18536876 | SRA1688438 | Lewis Lab, Biology, Syracuse University | Lewis Lab, Biology, Syracuse University | 1 | 0.89127 | 0.221 | 0.78317 | 0.52195 | 91 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2023-08-07 | Multi-stage | Embryo | Spinal Cord | Nervous System |