Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

37 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Integrative analysis of differentially expressed microRNAs in pulmonary alveolar macrophages from pigs infected with H1N1 swine influenza A virus at different time points

ABSTRACT: Purpose: The goals of this study is to analyze differentially expressed microRNAs in pulmonary alveolar macrophages from pigs infected with H1N1 swine influenza A virus at different time points. Methods: miRNA profiles in PAMs from pigs infected with H1N1 SwIV at three time points were generated by deep sequencing. Differentially expressed miRNAs were then identified and their targets were predicted. For these targets, GO and KEGG analyses were performed and protein-protein interaction networks regulated by DE miRNAs were constructed. Results: Comparing to control group, 70 and 16 DE miRNAs were respectively identified on post-infection day (PID) 4 and PID 7. 56 DE miRNAs were identified between PID4 and PID7. GO and KEGG analyses indicated that most of targets for these DE miRNAs were related to immune and inflammatory responses. Conclusions: Our study represents the first integrative analysis of DE miRNAs in PAMs infected with H1N1 SwIV at different time points. The results in this study would enable us to better understand the underlying pathogenesis of H1N1 SwIV infection in pigs. Furthermore, these data would be very useful for investigating the functions and regulatory mechanisms of miRNAs in human inM-oM-,M-^Buenza because pig serves as an excellent animal model to study human diseases. miRNA profiles in PAMs from pigs infected with H1N1 SwIV at three time points were generated by deep sequencing.

ORGANISM(S): Sus scrofa

SUBMITTER: Zhao Xing

PROVIDER: E-GEOD-49249 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Integrative analysis of differentially expressed microRNAs in pulmonary alveolar macrophages from pigs infected with H1N1 swine influenza A virus at different time points

Project description:Purpose: The goals of this study is to analyze differentially expressed microRNAs in pulmonary alveolar macrophages from pigs infected with H1N1 swine influenza A virus at different time points. Methods: miRNA profiles in PAMs from pigs infected with H1N1 SwIV at three time points were generated by deep sequencing. Differentially expressed miRNAs were then identified and their targets were predicted. For these targets, GO and KEGG analyses were performed and protein-protein interaction networks regulated by DE miRNAs were constructed. Results: Comparing to control group, 70 and 16 DE miRNAs were respectively identified on post-infection day (PID) 4 and PID 7. 56 DE miRNAs were identified between PID4 and PID7. GO and KEGG analyses indicated that most of targets for these DE miRNAs were related to immune and inflammatory responses. Conclusions: Our study represents the first integrative analysis of DE miRNAs in PAMs infected with H1N1 SwIV at different time points. The results in this study would enable us to better understand the underlying pathogenesis of H1N1 SwIV infection in pigs. Furthermore, these data would be very useful for investigating the functions and regulatory mechanisms of miRNAs in human inﬂuenza because pig serves as an excellent animal model to study human diseases.

2014-07-17 | GSE49249 | GEO

Expression data from Porcine alveolar macrophages of piglets experimentally infected with Streptococcus suis serotype 2 (SS2) for 7 days

Project description:Porcine alveolar macrophages (PAMs) play an important role in innate immunity. Streptococcus suis serotype 2 is a pathogen responsible for several diseases in both pigs and humans. We used microarrays to study the transcriptome of PAMs infected with SS2. Healthy pigs were inoculated intranasally with 2 ml of 4.84×10^6 colony-forming units of SS2 strain SC19. The PAMs were isolated at 7 dpi. RNA was extracted from PAMs obtained from infected pigs and control pigs, and hybridized on Affymetrix microarrays.

2011-07-14 | E-GEOD-30696 | biostudies-arrayexpress

ICL010 - Infection of Calu-3 cells with H1N1 influenza virus A/Netherlands/602/2009

Project description:Differential expression was determined in Calu-3 cells between mock infected and infected with H1N1 influenza virus A/Netherlands/602/2009 at nine time points post-infection. As a comparison, cells were also infected with A/CA/04/2009 H1N1 influenza virus at 4 time points post-infection.

2012-09-13 | GSE40844 | GEO

PRRSV-infection of porcine alveolar macrophages

Project description:The goal of this study was to produce a deep, global analysis of gene expression changes that occured following infection of normal porcine alveolar macrophages (PAMs) with PRRSV. The goal was to examine the gene expression changes to help determine the mechanisms that result in reduced function and immunosuppression observed in PRRSV-infected pigs. Keywords: time course of infection The PAMs were infected in culture at an MOI of 10 with PRRSV strains VR-2332 and incubated at 37C until 6, 12, 16 or 24 hours post infection. Total cellular RNA was collected from each at the appropriate time. SAGE libraries were prepared from each infected time point as well as from noninfected PAMs. The SAGE libraries were sequenced to at least 95,000 tags each.

2008-09-01 | E-GEOD-10346 | biostudies-arrayexpress

Expression data from Porcine alveolar macrophages of piglets experimentally infected with Streptococcus suis serotype 2 (SS2) for 7 days

2011-07-15 | GSE30696 | GEO

A comprehensive microRNA expression profile related to hypoxic adaptation in Tibetan pig

Project description:In this study, miRNA-seq technique was used to identify differentially expressed miRNAs (DE miRNAs) in cardiac muscle of the Tibetan pig (TP) and Yorkshire pig (YP), which were both raised in highland environments. We obtained 108 M clean reads and 372 unique miRNAs that included 210 known pre-miRNAs and 162 novel pre-miRNAs. In addition, 20 DE miRNAs, including 10 upregulated and 10 downregulated miRNAs, were identified by comparing TP and YP. Based on the expression abundance and differentiation between the two populations, we predicted their targets, and KEGG pathway analyses suggested that DE miRNAs between the Tibetan pigs and Yorkshire pigs are involved in hypoxia-related pathways, such as the MAPK, mTOR, and VEGF signaling pathways, cancer-related signaling pathways, etc. Five DE miRNAs were randomly selected to validate the veracity of miRNA-seq using real-time PCR. The results showed that the expression corresponds to the trend in miRNA-seq, hence the deep-sequencing methods were feasible and efficient. This study expanded the number of hypoxic-adaptation-related miRNAs in pig and indicated that the expression patterns of hypoxia-related miRNAs are significantly altered in the Tibetan pig. DE miRNAs may play important roles in hypoxic adaptation after migration to hypoxic environments. mRNA profiles of 6-month old Tibetan pig (TP) and Yorkshire pig (YP) were generated by deep sequencing, in duplicate, using Hiseq 2000.

2015-07-31 | E-GEOD-71550 | biostudies-arrayexpress

PRRSV-infection of porcine alveolar macrophages

2008-09-01 | GSE10346 | GEO

Response of swine lung to H1N1 swine influenza virus infection revealed by transcription analysis

Project description:As a mild, highly contagious, respiratory disease, swine influenza always damages the innate immune systems, and increases susceptibility to secondary infections which results in considerable morbidity and mortality in pigs. Nevertheless, the systematical host response of pigs to swine influenza virus infection remains largely unknown. To explore these, a time-course gene expression profiling was performed to detect comprehensive analysis of the global host response induced by H1N1 swine influenza virus in pigs. At the age of day 35, 15 pigs were randomly allocated to the non-infected group and 15 to the infected group. Each piglet of the infected group was intranasaly challenged with A/swine/Hubei/101/2009(H1N1) strain and Each piglet of the non-infected group was treated similarly with an identical volume of PBS as control.

2011-04-27 | E-GEOD-28871 | biostudies-arrayexpress

Expression data from Porcine alveolar macrophages infection with Haemophilus parasuis (HPS)

Project description:Porcine alveolar macrophages (PAMs) play impoartant role in innate immunity. Haemophilus parasuis is the etiological agent of Glasser’s disease in pigs. We used microarrays to study the transcriptome of PAMs infection with Haemophilus parasuis. Healthy Pigs were intratracheally challenged with H.parasuis strain 0165. And the PAMs were isolated at 6 dpi. RNA extraction were extracted from PAMs that obtained from infection pigs and control pigs and hybridization on Affymetrix microarrays. We sought to obtain the differently expressed genes that related to H.parasuis infection to understand the mechanism of PAMs against H.parasuis.

2011-06-28 | E-GEOD-30172 | biostudies-arrayexpress

Expression data from Porcine alveolar macrophages of piglets experimentally infected with Haemophilus parasuis serotype 4 (HPS4) for 28 days

Project description:Porcine alveolar macrophages (PAMs) play impoartant role in innate immunity. Haemophilus parasuis is the etiological agent of Glasser’s disease in pigs. Haemophilus parasuis is the etiological agent of Glasser’s disease in pigs. We used microarrays to study the transcriptome of PAMs infection with HPS4. Healthy Pigs were inoculated intranasally with 2 ml of 4.5×108CFU/ml colony forming units of HPS4 strain MD0322. And the PAMs were isolated at 28 dpi. RNA extraction were extracted from PAMs that obtained from infection pigs and control pigs and hybridization on Affymetrix microarrays.

2011-12-20 | E-GEOD-34544 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data