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Mengjia Qian

Researcher at Fudan University

Publications -  16
Citations -  732

Mengjia Qian is an academic researcher from Fudan University. The author has contributed to research in topics: Mesenchymal stem cell & Precision medicine. The author has an hindex of 11, co-authored 16 publications receiving 591 citations. Previous affiliations of Mengjia Qian include Fudan University Shanghai Medical College.

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Autophagy and inflammation.

TL;DR: Recent advances in investigating the roles of autophagy in inflammation as well as inflammatory diseases are highlighted.
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Genetic comparison of mouse lung telocytes with mesenchymal stem cells and fibroblasts

TL;DR: Gene expression profile of murine lung TCs demonstrates that TCs are functionally distinct interstitial cells with specific roles in cell signalling, tissue remodelling and angiogenesis.
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Differences in the expression of chromosome 1 genes between lung telocytes and other cells: mesenchymal stem cells, fibroblasts, alveolar type II cells, airway epithelial cells and lymphocytes.

TL;DR: In this article, the authors explored patterns of mouse TC-specific gene profiles on chromosome 1 and investigated the network of main genes and the potential functional correlations, showing that TCs are distinct from fibroblasts (Fbs) and mesenchymal stem cells (MSCs) as concerns gene expression and proteomics.
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Variations of chromosomes 2 and 3 gene expression profiles among pulmonary telocytes, pneumocytes, airway cells, mesenchymal stem cells and lymphocytes

TL;DR: The identification of characters and patterns of TC‐specific or TC‐dominated gene expression profiles in chromosome 2 and 3, the network of principle genes and potential functional association indicates that biological functions of TCs are mainly associated with tissue/organ injury and ageing, while down‐expression of Pltp implies that TCs may be associated with inhibition or reduction of inflammation in the lung.
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Selection of disease-specific biomarkers by integrating inflammatory mediators with clinical informatics in AECOPD patients: a preliminary study.

TL;DR: It is suggested that integration of proteomics with clinical informatics can be a new way to validate and optimize disease‐special biomarkers in AECOPD patients.