J
Jiang-Fan Chen
Researcher at Boston University
Publications - 126
Citations - 11679
Jiang-Fan Chen is an academic researcher from Boston University. The author has contributed to research in topics: Adenosine A2A receptor & Adenosine. The author has an hindex of 55, co-authored 122 publications receiving 10298 citations. Previous affiliations of Jiang-Fan Chen include Wenzhou Medical College & Chinese Ministry of Health.
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Journal ArticleDOI
Adenosine receptors as drug targets — what are the challenges?
TL;DR: The biology of adenosine signalling is focused on to identify hurdles in the development of additional pharmacological compounds targeting adenoine receptors and discuss strategies to overcome these challenges.
Journal ArticleDOI
Adenosine A1 receptors mediate local anti-nociceptive effects of acupuncture
Nanna Goldman,Michael Chen,Takumi Fujita,Qiwu Xu,Weiguo Peng,Wei Liu,Tina K Jensen,Yong Pei,Fushun Wang,Xiaoning Han,Jiang-Fan Chen,Jurgen Schnermann,Takahiro Takano,Lane K. Bekar,Kim Tieu +14 more
TL;DR: Observations indicate that adenosine mediates the effects of acupuncture and that interfering withAdenosine metabolism may prolong the clinical benefit of acupuncture.
Book ChapterDOI
Adenosine and Brain Function
TL;DR: Much additional work is needed to pinpoint the sites and mechanisms of action, as well as the roles in chronic pain states of adenosine A 2A receptors in neurodegenerative disorders and ARs in psychiatric disorders.
Journal ArticleDOI
Adenosine A2A, but not A1, receptors mediate the arousal effect of caffeine
Zhi-Li Huang,Wei-Min Qu,Naomi Eguchi,Jiang-Fan Chen,Michael A. Schwarzschild,Bertil B. Fredholm,Yoshihiro Urade,Osamu Hayaishi +7 more
TL;DR: It is reported that caffeine at 5, 10 and 15 mg kg−1 increased wakefulness in both wild-type mice and A1 receptor knockout mice, but not in A2A receptor knockout mouse, indicating that caffeine-induced wakefulness depends on adenosine A2a receptors.
Journal ArticleDOI
Detection of functional DNA motifs via statistical over-representation.
TL;DR: Clover has the potential to greatly accelerate characterization of signals that regulate transcription, and compares favorably with an ab initio motif discovery algorithm based on sequence alignment, when the motif library includes only a homolog of the factor that actually regulates the sequences.