Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

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Transcriptome wide analysis of classically and alternatively activated macrophages


ABSTRACT: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived human M1- and M2-like macrophage profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to establish a high resolution transcriptome of human macrophages. Total RNA was isolated from classically and aternative activated human macrophages.mRNA profiles were generated by deep sequencing og M1 and M2 macrophages from 3 donors using Illumina HiSeqSQ. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Casava1.8 and TopHat followed by Cufflinks. qRT–PCR validation was performed using LightCycler and SYBR Green assays. mRNA profiles were generated by deep sequencing og M1 and M2 macrophages from 3 donors using Illumina HiSeqSQ.

ORGANISM(S): Homo sapiens

SUBMITTER: Andrea Nino Castro 

PROVIDER: E-GEOD-36952 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications


Macrophages are dynamic cells integrating signals from their microenvironment to develop specific functional responses. Although, microarray-based transcriptional profiling has established transcriptional reprogramming as an important mechanism for signal integration and cell function of macrophages, current knowledge on transcriptional regulation of human macrophages is far from complete. To discover novel marker genes, an area of great need particularly in human macrophage biology but also to  ...[more]

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