Publications by authors named "Xitong Jia"

Article Synopsis
  • The study focuses on understanding the molecular mechanisms behind Plasmodium sexual development to aid in malaria eradication efforts through the use of phosphatase inhibitors.
  • Researchers investigated how a specific phosphatase inhibitor, BVT-948, impacted protein phosphorylation in Plasmodium gametocytes, leading to insights on their development.
  • Findings revealed that seven proteins affect sexual development in Plasmodium berghei, indicating that phosphatase inhibitors can be effective tools for identifying essential proteins in the lifecycle of malaria parasites.
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Antigens expressed during the sexual development of malaria parasites are transmission-blocking vaccine (TBV) targets. Pb22, a protein expressed and localized to the plasma membrane of gametes and ookinetes in Plasmodium berghei, is an excellent TBV candidate. Here, we evaluated the TB potential of the Plasmodium vivax ortholog Pv22 using a transgenic P.

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Background: With the emergence of resistance to front-line antimalarials, there is an urgent need to develop new medicines, including those targeting sexual development. This study aimed to assess the activity of a panel of phosphatase inhibitors against the sexual development of Plasmodium berghei and evaluate their potential as transmission-blocking agents.

Methods: Twenty-five compounds were screened for transmission-blocking activity in vitro using the P.

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Background: Plasmodium vivax transmission-blocking vaccines (TBVs) are receiving increasing attention. Based on excellent transmission-blocking activities of the PbPH (PBANKA_0417200) and PbSOP26 (PBANKA_1457700) antigens in Plasmodium berghei, their orthologs in P. vivax, PVX_098655 (PvPH) and PVX_101120 (PvSOP26), were selected for the evaluation of their potential as TBVs.

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Gait recognition has attracted growing attention in recent years as the gait of humans has a strong discriminative ability even under low resolution at a distance. Unfortunately, the performance of gait recognition can be largely affected by view change. To address this problem, we propose a Coupled Patch Alignment (CPA) algorithm that effectively matches a pair of gaits across different views.

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