{"database": "metadata", "table": "run_metadata", "rows": [[70091, "SRR19445949", "SRX15499111", "SRS13213995", "SRP377632", "PRJNA843695", "Loss of Glo2 alters the glucose metabolism in zebrafish", "GSE205085", "Transcriptome Analysis", "Glyoxalase 2 is the second enzyme of the glyoxalase system  catalyzing the detoxification of methylglyoxal to D lactate via SD Lactoylglutathione. Recent studies have suggested Glo2 as a regulator of glycolysis  but the physiological functions of Glo2 in vivo and organ specific functions of the enzyme have not yet been evaluated. Therefore  a CRISPR/Cas9 knockout of glo2 in zebrafish was created and analyzed. Consistent with its function in methylglyoxal detoxification  SD Lactoylglutathione  but not methylglyoxal accumulated in glo2 /  larvae  with no change in longevity. Adult glo2 /  livers developed an impaired insulin signaling  indicated by a reduced hepatic P70 S6 kinase activation and reduced hepatic hexose concentration. In contrast  glo2 /  skeletal muscle remained functionally intact  compensating for the dysfunctional liver through increased glucose uptake  thereby maintaining euglycemia and preventing damage of the retina and kidney. In conclusion  the data identified Glo2 to fulfill similar but unique functions compared to Glo1 and established Glo2 as a novel target in diabetes research  regulating hepatic insulin signaling. Overall design: A CRISPR based knockout of Glyoxalase 2 was created in zebrafish. The development of the fish was analyzed  as well as organ specific glucose metabolism in skeletal muscle and liver. Imaging studies of Retina  kidney  liver and skeletal muscle were conducted. RNA sequencing was performed on adult liver tissue of glo2+/+ and glo2 /  fish by BGI in collaboration with the NGS Core facility in Mannheim  University of Heidelberg.", null, "pubmed:36535130", null, "Glo2 +/+ 1", "GSM6205018", null, "source name:Tgfli1:EGFP|tissue:whole liver|trained:no|genotype:WT", "Glo2 +/+ 1", "trimmed with trim galore version 0.6.4. Parameters:   length 26   phred33 Get raw counts with kallisto quant version 0.4.6. TPM abundance estimates  generated with kallisto quant 0.4.6 Assembly: GRCz11 Supplementary files format and content: TPM abundance estimates and raw counts generated with kallisto.", "Tgfli1:EGFP", null, "Total RNA was extracted using TRIzol method RNA libraries were prepared for sequencing using standard BGISeq 500 protocols", null, "tissue:whole liver|trained:no|genotype:WT", "GSM6205018", "GSM6205018: Glo2 +/+ 1; Danio rerio; RNA Seq", "GSM6205018 r1", "GSM6205018", "1", "Total RNA was extracted using TRIzol method RNA libraries were prepared for sequencing using standard BGISeq 500 protocols", null, "RNA-Seq", "TRANSCRIPTOMIC", "cDNA", "PAIRED", "BGISEQ", "BGISEQ-500", null, "SRP377632", null, null, "1.1_1.fq.gz 1.1_2.fq.gz", "fastq fastq", 4155343800.0, 41553438.0, "GSM6205018 r1", "0:100 1:100", "A:1072547817;C:985284919;G:1008557411;T:1088953653;N:0", 100, 100, null, null, 1072547817, 985284919, 1008557411, 1088953653, 0, "SRX15499111", "SRS13213995", "SRA1428824", "ZMF, University Heidelberg", "ZMF, University Heidelberg", 1, 0.96135, null, 0.04666, null, 0.80543, null, 0.51213, null, 100, null, "B", null, "usable mapping rate", "bgi", "bgi", "unknown", "cdna_unspecified", "unknown", "bulk", "unknown", "unknown", null, "Germany", "2022-05-30", "Undetermined", "Larval", "Liver", "Liver and Biliary 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": ["70091"], "units": {}, "query_ms": 8.716595002624672}