ENAapplication/xmlftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR136/000/SRR1363480/SRR1363480.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR136/002/SRR1363482/SRR1363482.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR136/009/SRR1363489/SRR1363489.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR136/003/SRR1363493/SRR1363493.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR136/008/SRR1363478/SRR1363478.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR136/000/SRR1363490/SRR1363490.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR136/007/SRR1363487/SRR1363487.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR136/004/SRR1363484/SRR1363484.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR136/001/SRR1363481/SRR1363481.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR136/004/SRR1363494/SRR1363494.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR136/009/SRR1363479/SRR1363479.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR136/007/SRR1363477/SRR1363477.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR136/002/SRR1363492/SRR1363492.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR136/005/SRR1363485/SRR1363485.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR136/006/SRR1363486/SRR1363486.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR136/001/SRR1363491/SRR1363491.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR136/008/SRR1363488/SRR1363488.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR136/003/SRR1363483/SRR1363483.fastq.gzprimaryOK200GenomicsMultiomicsCenter for Computational Biology and Bioinformatics, UCSDhttps://www.ebi.ac.uk/ena/browser/view/PRJNA251989Mus musculusxref:PubMed:27179037xref:PubMed:27642729Purpose: The goals of this study were to identify quantitative gene expression differences between macrophages derived from wild type and PI3Kgamma null macrophages Methods: mRNA profiles of MCSF, IL4 and IFNg/LPS stimulated macrophage wild-type (WT) and PI3Kinase gamma knockout (p110g-/-) mice were generated by single read deep sequencing, in triplicate, using Illumina HiSeq2000. The sequence reads that passed quality filters were aligned to mouse transcriptome using the bowtie2 aligner. Gene-level summaries were normalized and analyzed for differential expression using DESeq. qRT–PCR validation was performed using SYBR Green assays. Conclusions: Our study represents the first detailed analysis of the role of p110g in the control of the macrophage immune response, with biological replicates, generated by RNA-seq technology. Overall design: mRNA profiles of wild type (WT) and p110g-/- macrophages were generated by deep sequencing, in triplicate, using Illumina HiSeq2000.ENAMus musculus, Laboratory Mice., House, Mus, Laboratory, Swiss, Mus domesticus, mouse, Mus musculus domesticus, Swiss Mouse, mouse <Mus musculus>, Mouse, House Mice, Swiss Mice, house mouse, Mice, Laboratory Mouse, House Mouse, mice C57BL/6xCBA/CaJ hybrid, domesticus, Mus muscaris5-bisphosphate 3-kinase 110 kDa catalytic subunit gamma, DMDA1, determination, Monocyte Derived Macrophages, Macrophages, 2.7.1.153, number, A4, PI3K, Bone Marrow Derived Macrophages, Bone Marrow-Derived Macrophage, Phosphoinositide-3-kinase catalytic gamma polypeptide, PtdIns-3-kinase subunit p110-gamma, Monocyte Derived, p110gamma, PtdIns-3-kinase subunit gamma, presence, PI3Kgamma, TYPE, LGMD2C, DAGA4, PI3-kinase subunit gamma, Bone Marrow-Derived, Monocyte-Derived Macrophage., 5830428L06Rik, PI3K-gamma, count in organism, PIK3, 2.7.11.1, Monocyte-Derived, DMDA, Phosphatidylinositol 4, chemical analysis, SCARMD2, Bone Marrow-Derived Macrophages, assay, p120-PI3K, PI3CG, MAM, SCG3, Serine|threonine protein kinase PIK3CG, Monocyte-Derived Macrophages, MacrophagefalseMus musculusNext Generation Sequencing and Quantitative Analysis of Wild Type and p110gamma-/- macrophages2025-09-242016-10-10PRJNA251989GSE58318100902717903727642729