Project description:A protein pilot dataset detecting Wolbachia proteins from protein extracted from dissected infected Culex pipiens mosquito ovaries. The experiment was based of an iTRAQ experiment comparing infected and uninfected ovarian tissues and has been usefull in characterizing the wPip (Buckeye) ovarian proteome.
Project description:This SuperSeries is composed of the following subset Series: GSE30721: Profiling proteome-scale antibody responses to M. tuberculosis proteins in sera of macaques infected with M. tuberculosis GSE30722: Profiling proteome-scale antibody responses to M. tuberculosis proteins in TB suspect's sera Refer to individual Series
Project description:Arboviruses are defined by their ability to replicate in both mosquito vectors and mammalian hosts. There is good evidence that arboviruses “prime” their progeny for infection of the next host, such as differential glycosylation of their outer glycoproteins or packaging of host ribosomal subunits. We and others have previously shown that mosquito derived viruses more efficiently infect mammalian cells than mammalian derived viruses. These observations are coherent with arboviruses acquiring host-specific adaptations, and we hypothesized that virus derived from either the mammalian host or mosquito vector will elicit different responses when infecting the mammalian host. Here we perform an RNA-sequencing analysis of the transcriptional response of Human Embryonic Kidney 293 (HEK-293) cells to infection with either mosquito (Aedes albopictus, C7/10) or mammalian (Baby Hamster Kidney, BHK) derived Sindbis virus (SINV). We show that C7/10 derived virus infection leads to a more robust transcriptional response in HEK-293s as compared to infection with the BHK derived virus. Surprisingly, despite more efficient infection, we found an increase in interferon-β (IFN-β) and interferon stimulated gene (ISG) transcripts in response to C7/10 derived virus infection versus BHK derived virus infection. However, translation of interferon stimulated genes was lower in HEK-293s infected with C7/10 derived virus, starkly contrasting with the transcriptional response. This inhibition of ISG translation is reflective of a more rapid overall shut-off of host cell translation following infection with C7/10 derived virus. Finally, we show that C7/10 derived virus infection of HEK-293 cells leads to elevated levels of phosphorylated eukaryotic translation elongation factor-2 (eEF2), identifying a potential mechanism leading to the more rapid shut-off of host translation. We postulate that the rapid shut-off of host translation in mammalian cells infected with mosquito derived virus acts to counter the IFN-β stimulated transcriptional response.
Project description:The mosquito-borne chikungunya virus (CHIKV) poses a threat to human health in tropical countries throughout the world. The molecular interactions of CHIKV with its mosquito vector, Aedes aegypti are not fully understood. Following oral acquisition of CHIKV via salinemeals, we analyzed changes in the proteome of Ae. aegypti in 12 h intervals by label-free timsTOF Pro mass spectrometry. For each of the seven time points, between 2647 and 3167 proteins were identified among CHIKV infected and non-infected mosquito samples and fewer than 6% of those identified proteins were affected by the virus.
Project description:We sequenced the small RNA profiles in ZIKV-infected and non-infected Ae. aegypti mosquitoes at 2, 7 and 14 days post-infection. ZIKV induced an RNAi response in the mosquito with virus-derived short interfering RNAs dramatically increased in abundance post-infection. Further, we found 17 host miRNAs that were modulated by the ZIKV infection at all time points.
Project description:This SuperSeries is composed of the following subset Series: GSE38356: The mRNA-bound proteome and its global occupancy profile on protein-coding transcripts [RNA-seq] GSE38201: The mRNA-bound proteome and its global occupancy profile on protein-coding transcripts [PAR-CLIP] GSE38355: The mRNA-bound proteome and its global occupancy profile on protein-coding transcripts [protein occupancy profiling] Refer to individual Series
Project description:Defining the subcellular distribution of all human proteins and its remodeling across cellular states remains a central goal in cell biology. Here, we present a high-resolution strategy to map subcellular organization using organelle immuno-capture coupled to mass spectrometry. We apply this workflow to a cell-wide collection of membranous and membrane-less compartments. A graph-based analysis reveals the subcellular localization of over 7,600 proteins, defines spatial networks, and uncovers interconnections between cellular compartments. Our approach can be deployed to comprehensively profile proteome remodeling during cellular perturbation. By characterizing the cellular landscape following hCoV-OC43 viral infection, we discover that many proteins are regulated by changes in their spatial distribution rather than by changes in abundance. Our results establish that proteome-wide analysis of subcellular remodeling provides unique insights for the elucidation of cellular responses, uncovering an essential role for ferroptosis in OC43 infection. Our dataset can be explored at organelles.czbiohub.org.
Project description:Prokaryotes are, due to their moderate complexity, particularly amenable to the comprehensive identification of the protein repertoire expressed under different conditions. We applied a generic strategy to identify a complete expressed prokaryotic proteome, which is based on the analysis of RNA and proteins extracted from matched samples. Saturated transcriptome profiling by RNA-seq provided an endpoint estimate of the protein-coding genes expressed under two conditions which mimic the interaction of Bartonella henselae with its mammalian host. Directed shotgun proteomics experiments were carried out on four subcellular fractions. By specifically targeting proteins which are short, basic, low abundant and membrane localized, we could eliminate their initial under-representation compared to the estimated endpoint. A total of 1,250 proteins were identified with an estimated false discovery rate below 1%. This represents 85% of all distinct annotated proteins and around 90% of the expressed protein-coding genes. Genes, whose transcripts were detected, but not their corresponding protein products, were found highly enriched in several genomic islands. Additionally, genes that lacked an ortholog and a functional annotation were not detected at the protein level, and possibly include over-predicted genes in genome annotations. Furthermore, a dramatic membrane proteome re-organization was observed including differential regulation of autotransporters, adhesins and hemin binding proteins. Particularly noteworthy was the complete membrane proteome coverage which included expression of all members of the VirB/D4 type IV secretion system, a key virulence factor. Transcriptome and proteome analysis of B.henselae in two conditions and duplicates: uninduced and induced for host invasion.
Project description:The availability of human genome sequence has transformed biomedical research over the past decade. However, an equivalent map for the human proteome with direct measurements of proteins and peptides was lacking. To this end, Akhilesh Pandey's lab reported a draft map of the human proteome based on high resolution Fourier transform mass spectrometry-based proteomics technology, which included an in-depth proteomic profiling of 30 histologically normal human samples including 17 adult tissues, 7 fetal tissues and 6 purified primary hematopoietic cells ( http://dx.doi.org/10.1038/nature13302 ). The profiling resulted in identification of proteins encoded by greater than 17,000 genes accounting for ~84% of the total annotated protein-coding genes in humans. This large human proteome catalog (available as an interactive web-based resource at http://www.humanproteomemap.org) complements available human genome and transcriptome data to accelerate biomedical research in health and disease. Pandey's lab and collaborators request that those considering use of this primary dataset for commercial purposes contact pandey@jhmi.edu. The full details of this study can be found in the PRIDE database: www.ebi.ac.uk/pride/archive/projects/PXD000561/. This ArrayExpress entry represents a top level summary of the metadata only which formed the basis of the reanalysis performed by Joyti Choudhary's team ( jc4@sanger.ac.uk ), results of which are presented in the Expression Atlas at EMBL-EBI : http://www.ebi.ac.uk/gxa/experiments/E-PROT-1.