Upregulation of Immune Process-Associated Genes in RAW264.7 Macrophage Cells in Response to<i>Burkholderia pseudomallei</i>Infection

Peng, Dongmei; Pang, Feng; Cao, Ruiyong; Zhu, Shu; Yang, Xinggang; Nie, Xin; Zhang, Zhenxing; Li, Baobao; Huang, Haifeng; Li, Yaying; Li, Guohua; Du, Lijun

doi:10.1155/2018/1235097

Cited by 4 publications

(3 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Increasing evidence supports that NFKBIA -mediated inflammation is linked to susceptibility to infectious and inflammatory diseases [ 24–26 ]. A report demonstrated an up-regulation of NFKBIA expression in mouse macrophages in response to B. pseudomallei infection [ 27 ] and our data confirmed that increased NFKBIA expression is associated with fatality in melioidosis patients.…”

Section: Discussionsupporting

confidence: 89%

Blood transcriptomics to characterize key biological pathways and identify biomarkers for predicting mortality in melioidosis

Yimthin

Cliff

Phunpang

et al. 2021

Emerging Microbes & Infections

View full text Add to dashboard Cite

Melioidosis is a tropical infectious disease caused by the Gram-negative bacillus, Burkholderia pseudomallei that is often lethal in many endemic areas. The objective of this study was to characterize the transcriptome in melioidosis patients and identify genes associated with outcome. RNA-seq was performed on whole blood RNA in a discovery set of 29 melioidosis patients and 3 healthy controls using Ion AmpliSeq Transcriptome. Transcriptomic profiles of patients who did not survive to 28 days were compared with patients who survived and healthy controls. RT-qPCR of 28 differentially expressed genes was performed in a validation set of 60 melioidosis patients and 20 healthy controls. In RNAseq analysis, 65 genes were significantly up-regulated and 218 were down-regulated in nonsurvivors compared to survivors. Up-regulated genes were involved in myeloid leukocyte activation, Toll-like receptor cascades and reactive oxygen species metabolic processes. Down-regulated genes were hematopoietic cell lineage, adaptive immune system and lymphocyte activation pathways. RT-qPCR in the validation set of patients confirmed differential expression of a subset of genes. IL1R2, GAS7, S100A9, IRAK3, and NFKBIA were significantly higher in non-survivors compared with survivors (P < 0.005) and healthy controls (P < 0.0001). The AUROCC of these genes for mortality discrimination ranged from 0.80-0.88. In survivors, expression of IL1R2, S100A9 and IRAK3 genes decreased significantly over 28 days (P < 0.05). Whole blood transcriptomics characterizes the host response in melioidosis. Expression levels of specific genes are potential biomarkers to predict outcomes. These findings augment our understanding of this severe infection.

show abstract

Section: Discussionsupporting

confidence: 89%

Blood transcriptomics to characterize key biological pathways and identify biomarkers for predicting mortality in melioidosis

Yimthin

Cliff

Phunpang

et al. 2021

Emerging Microbes & Infections

View full text Add to dashboard Cite

show abstract

“…The same samples were used for single-end 50 bp (SE50) small RNA sequencing using an Illumina HiSeq 2500 platform by Gene Denovo Biotechnology Co. (Guangzhou, China). The differentially expressed (DE) mRNAs were selected with |log2(fold change)| ≥ 1 and FDR ≤ 0.05 as we described previously (Peng et al, 2018). The expression levels of miRNAs were normalized based on the read counts to tags per million counts and |log2(fold change)| ≥ 1 and p ≤ 0.05 were the cutoffs to determine DE miRNAs.…”

Section: Methodsmentioning

confidence: 99%

Comprehensive analysis of differentially expressed microRNAs and mRNAs in MDBK cells expressing bovine papillomavirusE5oncogene

Pang

Chen

Wang

et al. 2019

PeerJ

Self Cite

View full text Add to dashboard Cite

Delta bovine papillomaviruses (δBPVs) causes fibropapillomas or bladder cancer in cattle. E5 is the major oncogene of δBPVs; however, the influence that E5 oncogene has on host microRNA (miRNA) and mRNA expression profiles remains little elucidated. In the present study, small RNA sequencing and RNA sequencing were used to explore alterations in miRNAs and mRNAs in E5 over-expressing Madin-Darby bovine kidney (MDBK) cells compared with controls. In total, 77 miRNAs (including 30 bovine-derived miRNAs) and 223 genes were differentially expressed (DE) following E5 overexpression. The dysregulated genes were mainly involved in metabolic and biosynthetic processes. We constructed a potential miRNA-gene regulatory network from the differentially expressed genes (DEGs) and DE miRNAs. Finally, 22 DEGs and nine DE miRNAs were selected for RT-qPCR validation. Of these, downregulation of six miRNAs, bta-miR-34c, bta-miR-122, bta-miR-195, bta-miR-449b, bta-miR-2425-5p, and bta-miR-2428-3p were confirmed; In addition, upregulation of 16 genes, ACSS2, DDIT4, INHBE, INSIG1, PNRC1, PSAT1, PSPH, PYCR1, SC4MOL, SLC34A2, SCD, SPARC, IDI1, PCK2, HMGCS1, and SMIM14 and downregulation of two genes, BATF3 and WFDC2 were confirmed. Specially, bta-miR-34c and bta-miR-449b potentially regulated PYCR1 and DDIT4, which were involved in cancer progression and angiogenesis. Our study presented for the first time the comprehensive miRNA and mRNA alterations in MDBK cells expressing the BPV E5 oncogene, providing new insights into the tumorigenesis induced by BPV E5.

show abstract

“…Given that RAW264.7 cells have been widely used for modeling B. pseudomallei in vitro 16 – 18 , in this study we aimed to establish the B. pseudomallei HNBP001 infection model of RAW264.7 cells ( Bp ) and utilize this model to investigate the host-cell responses. For this purpose, we performed high-resolution liquid chromatography-tandem MS (LC–MS/MS) in the Bp group and negative control (NC) group 19 .…”

Section: Introductionmentioning

confidence: 99%

Glycometabolism change during Burkholderia pseudomallei infection in RAW264.7 cells by proteomic analysis

Zeng

Guo

et al. 2022

Sci Rep

View full text Add to dashboard Cite

Burkholderia pseudomallei is a Gram-negative intracellular bacterium that causes melioidosis, a life-threatening disease. The interaction of B. pseudomallei with its host is complicated, and cellular response to B. pseudomallei infection is still largely unknown. In this study, we aimed to determine host-cell responses to B. pseudomallei at the proteomics level. We performed proteomic profiling of B. pseudomallei HNBP001-infected mouse macrophage RAW264.7 cells to characterize the cellular response dynamics during infection. Western blot analysis was utilized for the validation of changes in protein expression. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were conducted using the clusterProfiler R package. Compared with the negative control (NC) group, 811 common proteins varied over time, with a cut-off level of two fold change and an adjusted P-value less than 0.05. The bioinformatics analysis revealed that the proteins significantly changed in the B. pseudomallei HNBP001 infection group (Bp group) were enriched in glycometabolism pathways, including glycolysis, fructose and mannose metabolism, pentose phosphate pathway, galactose metabolism, and carbon metabolism. Western blot analysis verified three selected proteins involved in glycometabolism pathways, namely PGM1, PKM, and PGK1 were increase over time post the infection. Furthermore, in vitro functional analysis revealed an increased glucose uptake and decreased ATP production and O-GlcNAcylation in the Bp group compared with control group, suggesting that B. pseudomallei HNBP001 infection induces changes in glycometabolism in RAW264.7 cells. These results indicate that glycometabolism pathways change in RAW264.7 cells post B. pseudomallei HNBP001 infection, providing important insights into the intimate interaction between B. pseudomallei and macrophages.

show abstract

Upregulation of Immune Process-Associated Genes in RAW264.7 Macrophage Cells in Response toBurkholderia pseudomalleiInfection

Cited by 4 publications

References 42 publications

Blood transcriptomics to characterize key biological pathways and identify biomarkers for predicting mortality in melioidosis

Blood transcriptomics to characterize key biological pathways and identify biomarkers for predicting mortality in melioidosis

Comprehensive analysis of differentially expressed microRNAs and mRNAs in MDBK cells expressing bovine papillomavirusE5oncogene

Glycometabolism change during Burkholderia pseudomallei infection in RAW264.7 cells by proteomic analysis

Contact Info

Product

Resources

About