run_metadata: 76725
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| 76725 | SRR25288287 | SRX21031898 | SRS18304344 | SRP449631 | PRJNA994919 | Diverse Epithelial Lymphocytes in Zebrafish Revealed Using a Novel Scale Biopsy Method | GSE237417 | Transcriptome Analysis | Zebrafish Danio rerio are a compelling model to study lymphocytes because zebrafish and humans have similar adaptive immune systems including their lymphocytes. Antibodies that recognize zebrafish proteins are sparse so many investigators utilize transgenic lymphocyte specific fluorophore labeled lines. Human and zebrafish lymphocyte types are conserved but many aspects of zebrafish lymphocyte biology remain uninvestigated including lymphocytes in peripheral tissues like epidermis. Here we report the first study focused on zebrafish epidermal lymphocytes using scales. Obtaining zebrafish blood via non lethal methods is difficult; scales represent a source to longitudinally sample live fish. We developed a novel biopsy technique collecting scales to analyze epithelial lymphocytes from several fluorescently labeled lines. We imaged scales via confocal microscopy and demonstrated multiple lymphocyte types in scales/epidermis quantifying them flow cytometrically. We profiled gene expression of scale thymic and marrow lymphocytes from the same animals revealing B and T lineage signatures. Single cell qRT PCR and RNA sequencing scRNA seq show not only canonical B and T cells but also novel lymphocyte populations not described previously. To validate longitudinal scale biopsies we serially sampled scales from fish treated with dexamethasone DXM demonstrating epidermal lymphocyte responses. To analyze cells functionally we employed a bead ingestion assay showing thymic marrow and epidermal lymphocytes have phagocytic activity. In summary we establish a novel non lethal technique to obtain zebrafish lymphocytes providing the first quantification expression profiling and functional data DXM responses and phagocytosis from epidermal lymphocytes in the zebrafish model. Overall design: This experimental study aimed to investigate the gene expression profiles of individual lymphocytes from the zebrafish lck:GFP transgenic line by using single cell RNA sequencing scRNA seq analysis. We performed scRNA seq on GFPhi thymocytes and GFPlo scale/marrow cells from lck:GFP fish which mark different lymphocyte populations. scRNA seq data reveal diverse thymic scale and marrow lymphocyte populations for subsequent transcriptomic analysis and isolation of specific cell types. | pubmed:39503619 | Kidney Marrow S2 | GSM7611260 | source name:Kidney Marrow|tissue:Kidney Marrow|cell line:NA|cell type:Lymphocytes|genotype:lck:GFP|geo loc name:missing|collection date:missing | Kidney Marrow S2 | post conversion to fastq files reads for each sample were processed and aggregated using the 10x Genomics Cell Ranger v.6.0.0 pipeline no normalization default settings and processed in the Seurat R package v.4.3.0. We obtained transcriptomes for 6 359 cells post Cell Ranger processing. SoupX v.1.6.2 was used to model and remove ambient RNA contamination per sample and scDblFinder v.1.12.0 was used to detect potential multiplets default settings per individual tissue type. Additional QC filtering was performed to remove potential dead or dying cells along with cells exhibiting abnormal read/gene counts and high levels of mitochondrial transcripts resulting in 1 890 usable cells for our analysis. Using fastMNN cells were normalized and integrated and then clustered within Seurat Leiden algorithm. Clustering resolution was optimized using the clustree package v.0.5.0. Cluster boundaries were manually examined and fine tuned to optimize biological interpretation. Collective diagnostic gene signatures corresponding to published gene lists and our own sc qRT PCR results were explored using Seurat and UCell v.2.2.0. Preferential gene markers were determined for each distinct population using the FindAllMarkers function within Seurat to aid in cell type assignment p.adj ≤ 0.05 min.pct = 0.25. Assembly: GRCz11 Supplementary files format and content: Tab delimited value files and matrices. | Kidney Marrow | For procedures zebrafish subjects were anesthetized with 0.02% tricaine methanesulfonate. Thymus kidney marrow and scale samples were dissected and placed in 500 ul cell media RPMI + 1% FBS + 1% Pen/Strep. Single cell suspensions were prepped by dissociating tissues using a pestle and passed through 35 um filters. Various fluorescent populations were sorted from the lymphoid and precursor gates using a BD FACSJazz Instrument analysis performed in FlowJo softare. Following creation of single cell emulsions uniquely identifiable 1st strand template single cell cDNA libraries were generated from each cell by emulsion PCR. 2nd strand cDNA was generated and ligated to compatible Illumina adapters. Libraries were loaded onto single NovaSeq 6000 lanes and sequenced using read lengths of 28 bp for the first read 120 bp for the second read and 8 base index reads. | tissue:Kidney Marrow|cell line:NA|cell type:Lymphocytes|genotype:lck:GFP | GSM7611260 | GSM7611260: Kidney Marrow S2; Danio rerio; RNA Seq | GSM7611260 r1 | GSM7611260 | 1 | For procedures zebrafish subjects were anesthetized with 0.02% tricaine methanesulfonate. Thymus kidney marrow and scale samples were dissected and placed in 500 ul cell media RPMI + 1% FBS + 1% Pen/Strep. Single cell suspensions were prepped by dissociating tissues using a pestle and passed through 35 um filters. Various fluorescent populations were sorted from the lymphoid and precursor gates using a BD FACSJazz Instrument analysis performed in FlowJo softare. Following creation of single cell emulsions uniquely identifiable 1st strand template single cell cDNA libraries were generated from each cell by emulsion PCR. 2nd strand cDNA was generated and ligated to compatible Illumina adapters. Libraries were loaded onto single NovaSeq 6000 lanes and sequenced using read lengths of 28 bp for the first read 120 bp for the second read and 8 base index reads. | RNA-Seq | TRANSCRIPTOMIC SINGLE CELL | cDNA | PAIRED | ILLUMINA | Illumina NovaSeq 6000 | SRP449631 | loader:fastq load.py | 3_Mo_1ck_KM_S2_L001_I1_001.fastq.gz 3_Mo_1ck_KM_S2_L001_R1_001.fastq.gz 3_Mo_1ck_KM_S2_L001_R2_001.fastq.gz | fastq fastq fastq | 14406058368.0 | 92346528.0 | GSM7611260 r1 | 0:8 1:28 2:120 | A:3212551102;C:2439333260;G:2665663309;T:2763896751;N:138938 | 8 | 28 | 120 | 3212551102 | 2439333260 | 2665663309 | 2763896751 | 138938 | SRX21031898 | SRS18304344 | SRA1673435 | Pediatrics, University of Oklahoma Health Sciences Center | Pediatrics, University of Oklahoma Health Sciences Center | 1 | 0.92665 | 0.1896 | 0.8268 | 0.56354 | 120 | B | usable mapping rate | illumina | novaseq_era | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2023-07-14 | Undetermined | Undetermined | Multi-tissue | Multi-system |