{"database": "metadata", "table": "run_metadata", "rows": [[38297, "SRR1647680", "SRX756915", "SRS742117", "SRP049663", "PRJNA266803", "Spring Varaemia of Carp Virus SVCV infection of adult zebrafish", "GSE63133", "Transcriptome Analysis", "During viral infection  a large number of immune response signaling molecules including the interferon regulatory IRF family and type I interferon IFN transcribe. The exact identity and expression levels of fish IRFs and type I IFNs during viral infection remains largely unknown. Here  we utilized Illumina sequencing technology to determine differential expression patterns for both zebrafish IRFs and type I IFNs during two stages of SVCV infection  i.e. 6h and 24h post infection. For 12 zebrafish IRFs  we identified DrIRF1 mRNA as one of the most abundant in normal tissues and also in SVCV infected tissues  but DrIRF11 had a very weak basal expression and was almost not induced by SVCV infection. We also identified the highly basal expression of DrIRF7  which together with DrIRF3  was highly induced by SVCV infection. For type I IFNs  zebrafish has four IFN genes  three of which  IFN1/2/3  particularly IFN 1 and IFN 3  were significantly transcribed under the same conditions. Overall design: 12 adult healthy male and female 1:1 zebrafish were infected by intraperitoneal inoculation with approximately  50 \u00b5L SVCV 10 8TCID50/mL. 6 infected fish male:female=1:1 were sacrificed at 6h post injection  and 6 male:female=1:1 were sacrificed at 24h post injection for head kidney 6K and 24K and spleen 6S and 24S. Head kidney and spleen 0K and 0S from the 6 control adult zebrafish male:female=1:1 were collected as negative control.", null, "pubmed:25535281", null, "6K", "GSM1541904", null, "source name:head kidney|tissue:head kidney|disease state:6h post SVCV infection", "6K", "Illumina Casava1.7 software used for basecalling. Sequenced reads were trimmed for adaptor sequence  and masked for low complexity or low quality sequence  then mapped to mm8 whole genome using bowtie v0.12.2 with parameters  q  p 4  e 100  y  a  m 10   best   strata Reads Per Kilobase of exon per Megabase of library size RPKM were calculated using a protocol from Chepelev et al.  Nucleic Acids Research  2009. In short  exons from all isoforms of a gene were merged to create one meta transcript. The number of reads falling in the exons of this meta transcript were counted and normalized by the size of the meta transcript and by the size of the library. Genome build: mm8 Supplementary files format and content: tab delimited text files include RPKM values for each Sample ...", "head kidney", null, "Total RNA was extracted using Trizol reagent. Illumina TruSeq RNA Sample Prep Kit Cat#FC 122 1001 was used with 5 ug of total RNA for the construction of sequencing libraries. RNA libraries were prepared for sequencing using standard Illumina protocols", null, "tissue:head kidney|disease state:6h post SVCV infection", "GSM1541904", "GSM1541904: 6K; Danio rerio; RNA Seq", "GSM1541904", null, "1", "Total RNA was extracted using Trizol reagent. Illumina TruSeq RNA Sample Prep Kit Cat#FC 122 1001 was used with 5 ug of total RNA for the construction of sequencing libraries. RNA libraries were prepared for sequencing using standard Illumina protocols", "GEO Accession:GSM1541904", "RNA-Seq", "TRANSCRIPTOMIC", "cDNA", "SINGLE", "ILLUMINA", "Illumina HiSeq 2000", null, "SRP049663", null, null, "6K_GTCCGC_L003_R1.fastq", "fastq", 929436036.0, 18224236.0, "GSM1541904 r1", "0:51", "A:242005719;C:225485975;G:219890494;T:241993975;N:59873", 51, null, null, null, 242005719, 225485975, 219890494, 241993975, 59873, "SRX756915", "SRS742117", "SRA200717", "GEO", "Institute of Hydrobiology, Chinese Academy of Sciences", 1, 0.92547, null, 0.09105, null, 0.69264, null, 0.49166, null, 51, null, "B", null, "usable mapping rate", "illumina", "hiseq_era", "unknown", "random_priming", "trueseq", "bulk", "unknown", "unknown", null, "China", "2014-11-10", "Undetermined", "Adult", "Kidney", "Renal 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": ["38297"], "units": {}, "query_ms": 9.3512519961223}