Dataset Information

Proteo-Transcriptomic Dynamics of Cellular Response to HIV-1 Infection.

ABSTRACT: Throughout the HIV-1 replication cycle, complex host-pathogen interactions take place in the infected cell, leading to the production of new virions. The virus modulates the host cellular machinery in order to support its life cycle, while counteracting intracellular defense mechanisms. We investigated the dynamic host response to HIV-1 infection by systematically measuring transcriptomic, proteomic, and phosphoproteomic expression changes in infected and uninfected SupT1 CD4+ T cells at five time points of the viral replication process. By means of a Gaussian mixed-effects model implemented in the new R/Bioconductor package TMixClust, we clustered host genes based on their temporal expression patterns. We identified a proteo-transcriptomic gene expression signature of 388 host genes specific for HIV-1 replication. Comprehensive functional analyses of these genes confirmed the previously described roles of some of the genes and revealed novel key virus-host interactions affecting multiple molecular processes within the host cell, including signal transduction, metabolism, cell cycle, and immune system. The results of our analysis are accessible through a freely available, dedicated and user-friendly R/Shiny application, called PEACHi2.0. This resource constitutes a catalogue of dynamic host responses to HIV-1 infection that provides a basis for a more comprehensive understanding of virus-host interactions.

SUBMITTER: Golumbeanu M

PROVIDER: S-EPMC6338737 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Proteo-Transcriptomic Dynamics of Cellular Response to HIV-1 Infection.

Golumbeanu Monica M Desfarges Sébastien S Hernandez Céline C Quadroni Manfredo M Rato Sylvie S Mohammadi Pejman P Telenti Amalio A Beerenwinkel Niko N Ciuffi Angela A

Scientific reports 20190118 1

Throughout the HIV-1 replication cycle, complex host-pathogen interactions take place in the infected cell, leading to the production of new virions. The virus modulates the host cellular machinery in order to support its life cycle, while counteracting intracellular defense mechanisms. We investigated the dynamic host response to HIV-1 infection by systematically measuring transcriptomic, proteomic, and phosphoproteomic expression changes in infected and uninfected SupT1 CD4+ T cells at five ti ...[more]

PMID: 30659199

Similar Datasets

Project description:Tobacco (Nicotiana tabacum) pollen is a well-suited model for studying many fundamental biological processes owing to its well-defined and distinct development stages. It is also one of the major agents involved in the transmission of infectious viroids, which is the primary mechanism of viroid pathogenicity in plants. However, some viroids are non-transmissible and may be possibly degraded or eliminated during the gradual process of pollen development maturation. The molecular details behind the response of developing pollen against the apple fruit crinkle viroid (AFCVd) infection and viroid eradication is largely unknown. In this study, we performed an integrative analysis of the transcriptome and proteome profiles to disentangle the molecular cascade of events governing the three pollen development stages: early bicellular pollen (stage 3, S3), late bicellular pollen (stage 5, S5), and 6 h-pollen tube (PT6). The integrated analysis delivered the molecular portraits of the developing pollen against AFCVd infection, including mechanistic insights into the viroid eradication during the last steps of pollen development. The isobaric tags for label-free relative quantification (iTRAQ) with digital gene expression (DGE) experiments led us to reliably identify subsets of 5321, 5286, and 6923 proteins and 64,033, 60,597, and 46,640 expressed genes in S3, S5, and PT6, respectively. In these subsets, 2234, 2108 proteins and 9207 and 14,065 mRNAs were differentially expressed in pairwise comparisons of three stages S5 vs. S3 and PT6 vs. S5 of control pollen in tobacco. Correlation analysis between the abundance of differentially expressed mRNAs (DEGs) and differentially expressed proteins (DEPs) in pairwise comparisons of three stages of pollen revealed numerous discordant changes in mRNA/protein pairs. Only a modest correlation was observed, indicative of divergent transcription, and its regulation and importance of post-transcriptional events in the determination of the fate of early and late pollen development in tobacco. The functional and enrichment analysis of correlated DEGs/DEPs revealed the activation in pathways involved in carbohydrate metabolism, amino acid metabolism, lipid metabolism, and cofactor as well as vitamin metabolism, which points to the importance of these metabolic pathways in pollen development. Furthermore, the detailed picture of AFCVd-infected correlated DEGs/DEPs was obtained in pairwise comparisons of three stages of infected pollen. The AFCVd infection caused the modulation of several genes involved in protein degradation, nuclear transport, phytohormone signaling, defense response, and phosphorylation. Intriguingly, we also identified several factors including, DNA-dependent RNA-polymerase, ribosomal protein, Argonaute (AGO) proteins, nucleotide binding proteins, and RNA exonucleases, which may plausibly involve in viroid stabilization and eradication during the last steps of pollen development. The present study provides essential insights into the transcriptional and translational dynamics of tobacco pollen, which further strengthens our understanding of plant-viroid interactions and support for future mechanistic studies directed at delineating the functional role of candidate factors involved in viroid elimination.

Project description:Honey bees (Apis mellifera L.) suffer from many brood pathogens, including viruses. Despite considerable research, the molecular responses and dynamics of honey bee pupae to viral pathogens remain poorly understood. Israeli Acute Paralysis Virus (IAPV) is emerging as a model virus since its association with severe colony losses. Using worker pupae, we studied the transcriptomic and methylomic consequences of IAPV infection over three distinct time points after inoculation. Contrasts of gene expression and 5 mC DNA methylation profiles between IAPV-infected and control individuals at these time points - corresponding to the pre-replicative (5 h), replicative (20 h), and terminal (48 h) phase of infection - indicate that profound immune responses and distinct manipulation of host molecular processes accompany the lethal progression of this virus. We identify the temporal dynamics of the transcriptomic response to with more genes differentially expressed in the replicative and terminal phases than in the pre-replicative phase. However, the number of differentially methylated regions decreased dramatically from the pre-replicative to the replicative and terminal phase. Several cellular pathways experienced hyper- and hypo-methylation in the pre-replicative phase and later dramatically increased in gene expression at the terminal phase, including the MAPK, Jak-STAT, Hippo, mTOR, TGF-beta signaling pathways, ubiquitin mediated proteolysis, and spliceosome. These affected biological functions suggest that adaptive host responses to combat the virus are mixed with viral manipulations of the host to increase its own reproduction, all of which are involved in anti-viral immune response, cell growth, and proliferation. Comparative genomic analyses with other studies of viral infections of honey bees and fruit flies indicated that similar immune pathways are shared. Our results further suggest that dynamic DNA methylation responds to viral infections quickly, regulating subsequent gene activities. Our study provides new insights of molecular mechanisms involved in epigenetic that can serve as foundation for the long-term goal to develop anti-viral strategies for honey bees, the most important commercial pollinator.

Project description:Leishmania (L.) are obligated intracellular protozoan parasites that develop electively in macrophages. These cells that are acting as a safe shelter for the pathogens but also as their ultimate killer, making them the alpha and the omega during leishmaniasis diseases. Macrophages are able to secrete a remarkably diverse set of regulators known to influence the physiological functions and differentiation of neighboring cells to trigger an adaptive immune response of protective Th1-type cells, whereas parasites have developed a wide range of mechanisms to circumvent the hostâs immune responses. Most of our understanding of this host-parasite conflict, in the context of macrophage invasion by L. major metacyclic promastigotes, has been gleaned from studies investigating the macrophage responses at late and unique time points after infection. To investigate the dynamics of this duel, we have analyzed the transciptomic profile of monocyte-derived human macrophages at different time points during the first 24h upon in vitro infection using high throughput microarray platform. The gene expression profile of 17,838 genes showed high expression variability between the three human donors at different time points post infection. Cross comparison between the three donors allowed the identification of a common set of expressed genes coding for inflammatory and chemotactic molecules, transcription factors, apoptosis inhibition, glucose synthesis and heme metabolism. The findings presented in this work suggest that transcriptome dynamics of macrophages early during the first 24h post infection enable to identify novel key pathways deregulated upon L. major invasion. Our reported set of expressed genes will be useful in future rounds of data mining and functional analyses. In total 27 samples from three different donors were analyzed. For each donor, samples at 0h, 3h, 6h, 12h and 24h of culture were used as controls. For each donor, samples of cells infected with metacyclic Leishmania major parasites at 3h, 6h, 12h and 24h post-infection were analyzed.

Dataset Information

Proteo-Transcriptomic Dynamics of Cellular Response to HIV-1 Infection.

Publications

Proteo-Transcriptomic Dynamics of Cellular Response to HIV-1 Infection.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets