Jianqiang Wu

Dr. Jianqiang Wu

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 October 2015 in Expert Review of Proteomics
Verified
Journal Article
Closed access
JWJianqiang Wu
Jianqiang Wu
YGYouhe Gao
Youhe Gao
(2015). Physiological conditions can be reflected in human urine proteome and metabolome. Expert Review of Proteomics: Vol. 12, No. 6, pp. 623-636. doi: 10.1586/14789450.2015.1094380

19 January 2023 in Neuro-Oncology
Verified
Journal Article
Open access
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ZWZihao Wang
Zihao Wang
YWYaning Wang
Yaning Wang
MCMengqi Chang
Mengqi Chang
YWYuekun Wang
Yuekun Wang
PLPeng Liu
Peng Liu
WMWenbin Ma
Wenbin Ma
Background: Brain metastasis (BM) is the most common intracranial malignancy causing significant mortality, and lung cancer is the most common origin of BM. However, the cellular origins and drivers of BM from lung adenocarcinoma (LUAD) have yet to be defined. Methods: The cellular constitutions were characterized by single-cell transcriptomic profiles of 11 LUAD primary tumor (PT) and 10 BM samples (GSE131907). Copy number variation (CNV) and clonality analysis were applied to illustrate the cellular origins of BM tumors. Brain metastasis-associated epithelial cells (BMAECs) were identified by pseudotime trajectory analysis. By using machine-learning algorithms, we developed the BM-index representing the relative abundance of BMAECs in the bulk RNA-seq data indicating a high risk of BM. Therapeutic drugs targeting BMAECs were predicted based on the drug sensitivity data of cancer cell lines. Results: Differences in macrophages and T cells between PTs and BMs were investigated by single-cell RNA (scRNA) and immunohistochemistry and immunofluorescence data. CNV analysis demonstrated BM was derived from subclones of PT with a gain of chromosome 7. We then identified BMAECs and their biomarker, S100A9. Immunofluorescence indicated strong correlations of BMAECs with metastasis and prognosis evaluated by the paired PT and BM samples from Peking Union Medical College Hospital. We further evaluated the clinical significance of the BM-index and identified 7 drugs that potentially target BMAECs. Conclusions: This study clarified possible cellular origins and drivers of metastatic LUAD at the single-cell level and laid a foundation for early detection of LUAD patients with a high risk of BM.

4 October 2017 in Cancer Medicine
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Journal Article
Open access
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JWJianqiang Wu
Jianqiang Wu
ZGZhengguang Guo
Zhengguang Guo
YGYouhe Gao
Youhe Gao
Despite advances in cancer treatments, early diagnosis of cancer is still the most promising way to improve outcomes. Without homeostatic control, urine reflects systemic changes in the body and can potentially be used for early detection of cancer. In this study, a tumor‐bearing rat model was established by subcutaneous injection of Walker 256 cells. Urine samples from tumor‐bearing rats were collected at five time points during cancer development. Dynamic urine proteomes were profiled using liquid chromatography coupled with tandem mass spectrometry (LC‐MS/MS). Several urine proteins that changed at multiple time points were selected as candidate cancer biomarkers and were further validated by multiple reaction monitoring (MRM) analysis. It was found that the urinary protein patterns changed significantly with cancer development in a tumor‐bearing rat model. A total of 10 urinary proteins (HPT, APOA4, CO4, B2MG, A1AG, CATC, VCAM1, CALB1, CSPG4, and VTDB) changed significantly even before a tumor mass was palpable, and these early changes in urine could also be identified with differential abundance at late stages of cancer. Our results indicate that urine proteins could enable early detection of cancer at an early onset of tumor growth and monitoring of cancer progression.

20 March 2015 in Scientific Reports
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Journal Article
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YYYuan Yuan
Yuan Yuan
FZFanshuang Zhang
Fanshuang Zhang
JWJianqiang Wu
Jianqiang Wu
CSChen Shao
Chen Shao
YGYouhe Gao
Youhe Gao
Urine has the potential to become a better source of biomarkers. Urinary proteins are affected by many factors; therefore, differentiating between the variables associated with any particular pathophysiological condition in clinical samples is challenging. To circumvent these problems, simpler systems, such as animal models, should be used to establish a direct relationship between disease progression and urine changes. In this study, a unilateral ureteral obstruction (UUO) model was used to observe tubular injury and the eventual development of renal fibrosis, as well as to identify differential urinary proteins in this process. Urine samples were collected from the residuary ureter linked to the kidney at 1 and 3 weeks after UUO. Five hundred proteins were identified and quantified by LC-MS/MS, out of which 7 and 19 significantly changed in the UUO 1- and 3-week groups, respectively, compared with the sham-operation group. Validation by western blot showed increased levels of Alpha-actinin-1 and Moesin in the UUO 1-week group, indicating that they may serve as candidate biomarkers of renal tubular injury and significantly increased levels of Vimentin, Annexin A1 and Clusterin in the UUO 3-week group, indicating that they may serve as candidate biomarkers of interstitial fibrosis.

1 May 2018 in Journal of Proteomics
Verified
Journal Article
Closed access
MZMindi Zhao
Mindi Zhao
JWJianqiang Wu
Jianqiang Wu
XLXundou Li
Xundou Li
YGYouhe Gao
Youhe Gao

20 November 2017 in Proteomics – Clinical Applications
Verified
Journal Article
Closed access
PDF file
JWJianqiang Wu
Jianqiang Wu
XLXundou Li
Xundou Li
MZMindi Zhao
Mindi Zhao
HHHe Huang
He Huang
WSWei Sun
Wei Sun
YGYouhe Gao
Youhe Gao