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Contribution of FOS in neutrophils to venous thromboembolism via miR‐144 based on bioinformatic prediction and validation
by
Qi, Xiaotong
, Zhang, Ruijing
, Chen, Ruihan
, Wu, Zhihui
, Hu, Jie
, Yan, Sheng
, Zhao, Wenbo
, Shi, Peilu
, Song, Liying
, Zheng, Lin
, Wang, Heng
, Shi, Yongbin
, Wang, Ping
, Dong, Honglin
, Chang, Wenkai
, Tian, Qinqin
, Xing, Miao
, Wang, Yuwen
, Jin, Haijiang
in
Arteriosclerosis
/ Bioinformatics
/ Biomarkers
/ Biomarkers - blood
/ Biomarkers - metabolism
/ Blood
/ Bone cancer
/ c-Fos protein
/ Cardiovascular diseases
/ CD46 antigen
/ Computational Biology
/ Datasets
/ differentially expressed genes
/ Down-regulation
/ Female
/ Gene expression
/ Gene Expression Profiling
/ Gene Expression Regulation
/ Gene Regulatory Networks
/ hub genes
/ Humans
/ Leptin
/ Leukocytes (neutrophilic)
/ Male
/ MicroRNAs
/ MicroRNAs - blood
/ MicroRNAs - genetics
/ MicroRNAs - metabolism
/ network analysis
/ Neutrophils
/ Neutrophils - metabolism
/ Osteosarcoma
/ Proteins
/ Proto-Oncogene Proteins c-fos - genetics
/ Proto-Oncogene Proteins c-fos - metabolism
/ Pulmonary arteries
/ Sarcoma
/ Signal transduction
/ Software packages
/ Thromboembolism
/ Thrombosis
/ venous thromboembolism
/ Venous Thromboembolism - blood
/ Venous Thromboembolism - genetics
/ Venous Thromboembolism - metabolism
/ weighted gene co‐expression network analysis
2024
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Contribution of FOS in neutrophils to venous thromboembolism via miR‐144 based on bioinformatic prediction and validation
by
Qi, Xiaotong
, Zhang, Ruijing
, Chen, Ruihan
, Wu, Zhihui
, Hu, Jie
, Yan, Sheng
, Zhao, Wenbo
, Shi, Peilu
, Song, Liying
, Zheng, Lin
, Wang, Heng
, Shi, Yongbin
, Wang, Ping
, Dong, Honglin
, Chang, Wenkai
, Tian, Qinqin
, Xing, Miao
, Wang, Yuwen
, Jin, Haijiang
in
Arteriosclerosis
/ Bioinformatics
/ Biomarkers
/ Biomarkers - blood
/ Biomarkers - metabolism
/ Blood
/ Bone cancer
/ c-Fos protein
/ Cardiovascular diseases
/ CD46 antigen
/ Computational Biology
/ Datasets
/ differentially expressed genes
/ Down-regulation
/ Female
/ Gene expression
/ Gene Expression Profiling
/ Gene Expression Regulation
/ Gene Regulatory Networks
/ hub genes
/ Humans
/ Leptin
/ Leukocytes (neutrophilic)
/ Male
/ MicroRNAs
/ MicroRNAs - blood
/ MicroRNAs - genetics
/ MicroRNAs - metabolism
/ network analysis
/ Neutrophils
/ Neutrophils - metabolism
/ Osteosarcoma
/ Proteins
/ Proto-Oncogene Proteins c-fos - genetics
/ Proto-Oncogene Proteins c-fos - metabolism
/ Pulmonary arteries
/ Sarcoma
/ Signal transduction
/ Software packages
/ Thromboembolism
/ Thrombosis
/ venous thromboembolism
/ Venous Thromboembolism - blood
/ Venous Thromboembolism - genetics
/ Venous Thromboembolism - metabolism
/ weighted gene co‐expression network analysis
2024
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Contribution of FOS in neutrophils to venous thromboembolism via miR‐144 based on bioinformatic prediction and validation
by
Qi, Xiaotong
, Zhang, Ruijing
, Chen, Ruihan
, Wu, Zhihui
, Hu, Jie
, Yan, Sheng
, Zhao, Wenbo
, Shi, Peilu
, Song, Liying
, Zheng, Lin
, Wang, Heng
, Shi, Yongbin
, Wang, Ping
, Dong, Honglin
, Chang, Wenkai
, Tian, Qinqin
, Xing, Miao
, Wang, Yuwen
, Jin, Haijiang
in
Arteriosclerosis
/ Bioinformatics
/ Biomarkers
/ Biomarkers - blood
/ Biomarkers - metabolism
/ Blood
/ Bone cancer
/ c-Fos protein
/ Cardiovascular diseases
/ CD46 antigen
/ Computational Biology
/ Datasets
/ differentially expressed genes
/ Down-regulation
/ Female
/ Gene expression
/ Gene Expression Profiling
/ Gene Expression Regulation
/ Gene Regulatory Networks
/ hub genes
/ Humans
/ Leptin
/ Leukocytes (neutrophilic)
/ Male
/ MicroRNAs
/ MicroRNAs - blood
/ MicroRNAs - genetics
/ MicroRNAs - metabolism
/ network analysis
/ Neutrophils
/ Neutrophils - metabolism
/ Osteosarcoma
/ Proteins
/ Proto-Oncogene Proteins c-fos - genetics
/ Proto-Oncogene Proteins c-fos - metabolism
/ Pulmonary arteries
/ Sarcoma
/ Signal transduction
/ Software packages
/ Thromboembolism
/ Thrombosis
/ venous thromboembolism
/ Venous Thromboembolism - blood
/ Venous Thromboembolism - genetics
/ Venous Thromboembolism - metabolism
/ weighted gene co‐expression network analysis
2024
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Contribution of FOS in neutrophils to venous thromboembolism via miR‐144 based on bioinformatic prediction and validation
Journal Article
Contribution of FOS in neutrophils to venous thromboembolism via miR‐144 based on bioinformatic prediction and validation
2024
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Overview
The Finkel‐Biskis‐Jinkins Osteosarcoma (c‐Fos; encoded by FOS) plays an important role in several cardiovascular diseases, including atherosclerosis and stroke. However, the relationship between FOS and venous thromboembolism (VTE) remains unknown. We identified differentially expressed genes in Gene Expression Omnibus dataset, GSE48000, comprising VTE patients and healthy individuals, and analysed them using CIBERSORT and weighted co‐expression network analysis (WGCNA). FOS and CD46 expressions were significantly downregulated (FOS p = 2.26E‐05, CD64 p = 8.83E‐05) and strongly linked to neutrophil activity in VTE. We used GSE19151 and performed PCR to confirm that FOS and CD46 had diagnostic potential for VTE; however, only FOS showed differential expression by PCR and ELISA in whole blood samples. Moreover, we found that hsa‐miR‐144 which regulates FOS expression was significantly upregulated in VTE. Furthermore, FOS expression was significantly downregulated in neutrophils of VTE patients (p = 0.03). RNA sequencing performed on whole blood samples of VTE patients showed that FOS exerted its effects in VTE via the leptin‐mediated adipokine signalling pathway. Our results suggest that FOS and related genes or proteins can outperform traditional clinical markers and may be used as diagnostic biomarkers for VTE.
Publisher
John Wiley & Sons, Inc
Subject
/ Blood
/ Datasets
/ differentially expressed genes
/ Female
/ Humans
/ Leptin
/ Male
/ Proteins
/ Proto-Oncogene Proteins c-fos - genetics
/ Proto-Oncogene Proteins c-fos - metabolism
/ Sarcoma
/ Venous Thromboembolism - blood
/ Venous Thromboembolism - genetics
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