Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Epigenomic landscapes of human inflammation associated macrophages [RNA-seq]

ABSTRACT: We previously demonstrated by genomic and bioinformatical approaches that human macrophage (MÎ¦) activation is best described by a spectrum model (Xue et al, Immunity, 2014). MÎ¦ integrate exogenous input signals on transcriptional level in a unique fashion to generate specific functional programs, enabling the plasticity in disease-related pathophysiologies. Such versatile responsiveness requires fast changes of transcription mediated by transcriptional regulators (TRs) or epigenomic changes. To better understand the principles of this regulation during human MÎ¦ activation, we assessed histone modifications including H3K4me1, H3K4me3, H3K27me3, and H3K27Ac by ChIP-sequencing allowing us to characterize the functional state of promoters (active, poised, repressed) and enhancers (active, inactive, intermediate). Using transcriptome data from our MÎ¦ spectrum model, we generated a co-regulation network of all TRs. Next, we overlaid epigenomic information and transcriptional changes of major TRs over time onto the TR network. We observed that input signals like IFNÎ³ or TNFÎ± induce a specific network of TRs that are transcriptionally regulated themselves, the combination of regulated TRs changes over time with a boost of transcriptional regulation of dozens of TRs 4 to 12 hrs post input signal exposure, almost all TRs within the network show active promoters, even if the TR itself is not expressed, and similar results are obtained for enhancers with open or at least intermediated states. These findings strongly suggest that in MÎ¦, the TR-defined cellular âswitch panelâ is always accessible thereby allowing MÎ¦ to quickly respond to the diverse input signal repertoire from the environment. Epigenetic analysis of promoter and enhancer sites in primary human macrophage subtypes and correlation to RNA-seq expression data

ORGANISM(S): Homo sapiens

SUBMITTER: Joachim Schultze

PROVIDER: E-GEOD-66593 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

The transcriptional regulator network of human inflammatory macrophages is defined by open chromatin.

Schmidt Susanne V SV Krebs Wolfgang W Ulas Thomas T Xue Jia J Baßler Kevin K Günther Patrick P Hardt Anna-Lena AL Schultze Hartmut H Sander Jil J Klee Kathrin K Theis Heidi H Kraut Michael M Beyer Marc M Schultze Joachim L JL

Cell research 20160105 2

Differentiation of inflammatory macrophages from monocytes is characterized by an orderly integration of epigenetic and transcriptional regulatory mechanisms guided by lineage-determining transcription factors such as PU.1. Further activation of macrophages leads to a stimulus- or microenvironment-specific signal integration with subsequent transcriptional control established by the action of tissue- or signal-associated transcription factors. Here, we assess four histone modifications during hu ...[more]

PMID: 26729620

Similar Datasets

Project description:In mammals, resident dermal macrophages (MÎ¦s) are subverted by Leishmania (L.) amazonensis amastigotes as host cells permissive for parasite multiplication. These Leishmania are living within a communal parasitophorous vacuole (PV) and are expected to trigger unique MÎ¦ transcriptional signatures. We performed a transcription profiling of mouse MÎ¦s harboring amastigotes to get insights into their reprogramming as host cells for parasite multiplication. BALB/c mouse bone marrow-derived MÎ¦s were either loaded or not with four amastigotes on average. Twenty four hours later, when amastigotes multiply, total RNA from MÎ¦ cultures was prepared, amplified and hybridized onto Affymetrix Mouse430_2 GeneChipsÂ®. The outcome recorded a total of 1,248 probe-sets showing significant differential expression. Comparable fold-change values for a handful of genes were obtained between Affymetrix technology and the more sensitive RTqPCR method. Ingenuity Pathway Analysis softwareÂ® pinpointed the up-regulation of the sterol biosynthesis pathway (P-value = 1.31e-02) involving several genes (1.95 to 4.30 fold-change values), and the modulation of various genes involved in polyamine synthesis and in pro/counter-inflammatory signaling. Our findings suggest that amastigotes exploit the MÎ¦ lipid and polyamine pathways to multiply efficiently, and induce a counter-inflammatory environment to expand their dermis niche. Experiment Overall Design: Mice, MÎ¦s and amastigotes: Experiment Overall Design: Swiss nu/nu and BALB/c mice were used (following National Scientific Ethics Committee guidelines) for L. amazonensis (LV79 strain, MPRO/BR/1972/M1841) amastigote propagation and to prepare bone marrow-derived MÎ¦s, respectively. Amastigotes were added at a multiplicity of 4 amastigotes per MÎ¦. Parasite-harboring MÎ¦s (>98%; samples I1, I2 and I3) and parasite-free ones (samples UI1, UI2 and UI3) were cultured at 34Â°C (LV79 permissive temperature) for 24h. Experiment Overall Design: Real-time quantitative PCR: Experiment Overall Design: Total RNA from various biological samples including those used for hybridization experiments were reverse transcribed into cDNA using random hexamers (Roche Diagnostics) and Moloney Murine Leukemia Virus Reverse Transcriptase (Invitrogen Life Technologies). RTqPCR was performed using LightCycler-480 system (Roche) with primers designed with LightCycler Probe Design 1.0 software.Target genes primer sequences, amplicon melting temperatures and amplification efficiencies are available upon request. Gene expression analysis using qBase program allowed determining the normalized relative quantities between parasite-free and parasite-harboring MÎ¦s.

Dataset Information

Epigenomic landscapes of human inflammation associated macrophages [RNA-seq]

Publications

The transcriptional regulator network of human inflammatory macrophages is defined by open chromatin.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets