{"database": "metadata", "table": "run_metadata", "rows": [[33892, "SRR30866052", "SRX26263961", "SRS22803217", "SRP536276", "PRJNA1168147", "Mgat4b mediated selective N glycosyl modification regulates melanocyte development and melanoma progression [scRNA seq]", "GSE278654", "Transcriptome Analysis", "Dysregulated melanocyte state transitions are a pivotal driver of melanoma development  highlighting the need to identify key regulators of these processes. Understanding these factors is key to know how normal melanocyte functions and shift towards initiation of melanoma. Our study identifies Mgat4b  a glycosyl transferase involved in selective N glycan branching enriched in pigment progenitors  as a key regulator of directional melanocyte migration and establishment of Melanocyte stem cell McSC pool during early development in zebrafish and mammalian melanocytes. Single cell RNA sequencing analysis in zebrafish upon targeted disruption of Mgat4b reveals that a subset of melanocytes marked by aberrant galectin expression are impaired in migration and are lost. Lectin binding proteomic analysis reveals the glycosylation of key melanocyte proteins Gpnmb  Kit  and Tyrp1 to be under the control of Mgat4b. Additionally  mislocalization of Gamma catenin Jup explains the observed defects in cell adhesion and migration to be regulated by mgat4b but not its isozyme mgat4a. Our meta analysis further revealed that melanoma patients with both the BrafV600E mutation and elevated Mgat4b levels have significantly worse survival outcomes compared to those with only the BrafV600E mutation. By leveraging the MAZERATI platform to model BrafV600E driver mutation in vivo  we show that Mgat4b mutant cells fail to aggregate and initiate tumors. Our study underscores the importance of selective N glycan branching in both melanocyte development and melanoma initiation  suggesting a Mitf controlled Mgat4b as a promising therapeutic target for melanoma treatment. Overall design: To understand how selective N glycosylation modification performed by mgat4b promote melanocyte development  we performed single cell RNA sequencing of mitfa+ve melanophores sorted from the 36hpf staged zebrafish.", null, null, null, "m4b mut", "GSM8552316", null, "tissue:melanocytes|cell type:melanocytes|age:36 hpf|genotype:mgat4b mutant|treatment:No|geo loc name:missing|collection date:missing", "m4b mut", "Cellranger mkfastq pipeline was used to generate fastq files The fastq files were then aligned with custom zebrafish reference assembly GRCz11 using cellranger. Assembly: GRCz11 Supplementary files format and content: tab delimited text file including barcodes and features  and matrix files", "melanocytes", null, "The gfp positive cells are isolated using FACS and 10x Genomics Next GEM three primereagent kit Dual Index was used for bead generation and cDNA synthesis 10x Genomics Next GEM three primereagent kit Dual Index was used for library construction", null, "cell type:melanocytes|age:36 hpf|genotype:mgat4b mutant|treatment:No", "GSM8552316", "GSM8552316: m4b mut; Danio rerio; RNA Seq", "GSM8552316 r1", "GSM8552316", "1", "The gfp positive cells are isolated using FACS and 10x Genomics Next GEM three primereagent kit Dual Index was used for bead generation and cDNA synthesis 10x Genomics Next GEM three primereagent kit Dual Index was used for library construction", null, "RNA-Seq", "TRANSCRIPTOMIC SINGLE CELL", "cDNA", "PAIRED", "ILLUMINA", "NextSeq 2000", null, "SRP536276", null, "loader:fastq load.py", "m4b_mut_S2_L001_I1_001.fastq.gz m4b_mut_S2_L001_I2_001.fastq.gz m4b_mut_S2_L001_R1_001.fastq.gz m4b_mut_S2_L001_R2_001.fastq.gz", "fastq fastq fastq fastq", 18274385040.0, 132423080.0, "GSM8552316 r1", "0:10 1:10 2:28 3:90", "A:3788703303;C:2355223955;G:2645521958;T:3126630009;N:1997975", 10, 10, 28, 90, 3788703303, 2355223955, 2645521958, 3126630009, 1997975, "SRX26263961", "SRS22803217", "SRA1984944", "Pigment Cell Biology Lab, CSIR-IGIB", "Pigment Cell Biology Lab, CSIR-IGIB", null, null, null, null, null, null, null, null, null, null, null, "B", null, "usable mapping rate", "illumina", "nextseq_v2", "unknown", "cdna_unspecified", "unknown", "sc", "single_cell_droplet", "10x", null, "India", "2024-10-02", "Pharyngula", "Embryo", "Skin", "Surface Structure"]], "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": ["33892"], "units": {}, "query_ms": 7.685158001550008}