9 Works

Bioinformatics analysis deciphering the transcriptomic signatures associated with signalling pathways and prognosis in the myelodysplastic syndromes

Niluopaer Tuerxun, Jie Wang, Fang Zhao, Yu-ting Qin, Huan Wang, Rong Chen & Jian-ping Hao
Background: Several studies scatteredly identified the myelodysplastic syndromes’ transcriptomic profiles (MDS). However, the exploration of transcriptional signatures, key signalling pathways, and their association with prognosis and diagnosis in the integrated multiple datasets remains lacking. Methods: We integrated the GSE4619, GSE19429, GSE30195, and GSE58831 microarray datasets of CD34 + cells for identifying the differentially expressed genes (DEGs) in the MDS. The series of bioinformatics methods are applied to identify the key hub genes, gene clusters, prognostic...

Inositol 1,4,5-trisphosphate receptor type 2 is associated with the bone–vessel axis in chronic kidney disease–mineral bone disorder

Qiong Xiao, Yun Tang, Haojun Luo, Sipei Chen, Qiao Tang, Rong Chen, Lin Xiong, Jun Xiao, Daqing Hong, Li Wang, Guisen Li & Yi Li
Objective: The pathogenesis of renal osteopathy and cardiovascular disease suggests the disordered bone–vessel axis in chronic kidney disease–mineral bone disorder (CKD–MBD). However, the mechanism of the bone–vessel axis in CKD–MBD remains unclear. Methods: We established a CKD–MBD rat model to observe the pathophysiological phenotype of the bone–vessel axis and performed RNA sequencing of aortas to identify novel targets of the bone–vessel axis in CKD–MBD. Results: The microarchitecture of the femoral trabecular bone deteriorated and alveolar...

Simultaneous Decorrelation of Matrix Time Series

Yuefeng Han, Rong Chen, Cun-Hui Zhang & Qiwei Yao
We propose a contemporaneous bilinear transformation for a p × q matrix time series to alleviate the difficulties in modeling and forecasting matrix time series when p and/or q are large. The resulting transformed matrix assumes a block structure consisting of several small matrices, and those small matrix series are uncorrelated across all times. Hence, an overall parsimonious model is achieved by modeling each of those small matrix series separately without the loss of information...

Data from: Expiratory aerosol particle escape from surgical masks due to imperfect sealing

Christopher Cappa, Sima Asadi, Anthony Wexler, Santiago Barreda & Nicole Bouvier
The dataset provided here is associated with the work "Expiratory aerosol particle escape from surgical masks due to imperfect sealing," by Cappa et al, currently available as a preprint at https://doi.org/10.21203/rs.3.rs-142138/v1. This includes measurements made of the influence of surgical masks and leakage flows out the mask sides on the emission of micron-scale aerosols from various expiratory activities (coughing, speaking). The dataset provided here includes *.txt files exported from an Aerodynamic Particle Sizer that contain...

Biomarkers for combat-related PTSD: focus on molecular networks from high-dimensional data

Thomas C. Neylan, Eric E. Schadt & Rachel Yehuda
Posttraumatic stress disorder (PTSD) and other deployment-related outcomes originate from a complex interplay between constellations of changes in DNA, environmental traumatic exposures, and other biological risk factors. These factors affect not only individual genes or bio-molecules but also the entire biological networks that in turn increase or decrease the risk of illness or affect illness severity. This review focuses on recent developments in the field of systems biology which use multidimensional data to discover biological...

Biomarkers for combat-related PTSD: focus on molecular networks from high-dimensional data

Thomas C. Neylan, Eric E. Schadt & Rachel Yehuda
Posttraumatic stress disorder (PTSD) and other deployment-related outcomes originate from a complex interplay between constellations of changes in DNA, environmental traumatic exposures, and other biological risk factors. These factors affect not only individual genes or bio-molecules but also the entire biological networks that in turn increase or decrease the risk of illness or affect illness severity. This review focuses on recent developments in the field of systems biology which use multidimensional data to discover biological...

Bioinformatics analysis deciphering the transcriptomic signatures associated with signalling pathways and prognosis in the myelodysplastic syndromes

Niluopaer Tuerxun, Jie Wang, Fang Zhao, Yu-ting Qin, Huan Wang, Rong Chen & Jian-ping Hao
Background: Several studies scatteredly identified the myelodysplastic syndromes’ transcriptomic profiles (MDS). However, the exploration of transcriptional signatures, key signalling pathways, and their association with prognosis and diagnosis in the integrated multiple datasets remains lacking. Methods: We integrated the GSE4619, GSE19429, GSE30195, and GSE58831 microarray datasets of CD34 + cells for identifying the differentially expressed genes (DEGs) in the MDS. The series of bioinformatics methods are applied to identify the key hub genes, gene clusters, prognostic...

Simultaneous Decorrelation of Matrix Time Series

Yuefeng Han, Rong Chen, Cun-Hui Zhang & Qiwei Yao
We propose a contemporaneous bilinear transformation for a p × q matrix time series to alleviate the difficulties in modeling and forecasting matrix time series when p and/or q are large. The resulting transformed matrix assumes a block structure consisting of several small matrices, and those small matrix series are uncorrelated across all times. Hence, an overall parsimonious model is achieved by modeling each of those small matrix series separately without the loss of information...

Inositol 1,4,5-trisphosphate receptor type 2 is associated with the bone–vessel axis in chronic kidney disease–mineral bone disorder

Qiong Xiao, Yun Tang, Haojun Luo, Sipei Chen, Qiao Tang, Rong Chen, Lin Xiong, Jun Xiao, Daqing Hong, Li Wang, Guisen Li & Yi Li
Objective: The pathogenesis of renal osteopathy and cardiovascular disease suggests the disordered bone–vessel axis in chronic kidney disease–mineral bone disorder (CKD–MBD). However, the mechanism of the bone–vessel axis in CKD–MBD remains unclear. Methods: We established a CKD–MBD rat model to observe the pathophysiological phenotype of the bone–vessel axis and performed RNA sequencing of aortas to identify novel targets of the bone–vessel axis in CKD–MBD. Results: The microarchitecture of the femoral trabecular bone deteriorated and alveolar...

Registration Year

  • 2023
    5
  • 2022
    3
  • 2021
    1

Resource Types

  • Dataset
    9

Affiliations

  • Mount Sinai Health System
    8
  • Qinghai University Affiliated Hospital
    6
  • Jiangsu Academy of Agricultural Sciences
    6
  • Chengdu Third People's Hospital
    6
  • University Hospital of Zurich
    6
  • Hangzhou Normal University
    6
  • Zhongda Hospital Southeast University
    6
  • Colgate University
    5
  • Hunan University
    5
  • Nanjing Agricultural University
    5