Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Minming Chen"'
Autor:
Quguang Li, Yifan Yan, Chunjie Wang, Ziliang Dong, Yu Hao, Minming Chen, Zhuang Liu, Liangzhu Feng
Publikováno v:
iScience, Vol 27, Iss 7, Pp 110189- (2024)
Summary: Autologous cancer vaccines represent a promising therapeutic approach against tumor relapse. Herein, a concise biomineralization strategy was developed to prepare an immunostimulatory autologous cancer vaccine through protein antigen-mediate
Externí odkaz:
https://doaj.org/article/b177be3d54d141d8be1f25dff540e40f
Autor:
Qiaohua Zhu, Lun Yang, Huiyan Zhu, Wei Kong, Ruizhi Feng, Jun Luo, Minming Chen, Dehua Wu, Qirong Yu, Ruyan Zhang, Meihua Luo
Publikováno v:
Phlebology: The Journal of Venous Disease. 37:602-609
Objective Population-based epidemiological data on left common iliac vein (LCIV) compression is scarce. This study aimed to investigate the prevalence of LCIV compression in an asymptomatic population and patients with left iliofemoral deep vein thro
Publikováno v:
Sociobiology, Vol 66, Iss 2 (2019)
PGRP-LC is a significant pattern recognition receptor of the insect innate immune system that can recognize peptidoglycans and activate immune signaling pathways regulating the expression and release of antimicrobial peptides against infection. We fo
Externí odkaz:
https://doaj.org/article/092fe405318745738885d2b2ef50cf76
Autor:
Nanhui Ye, Pei Hu, Shuli Xu, Minming Chen, Shaoyun Wang, Jing Hong, Taotao Chen, Tiantian Cai
Publikováno v:
Journal of Food Quality, Vol 2018 (2018)
Carrot is a very popular vegetable and used for culinary and cosmetic purposes. Carrot seeds can be used for treatment of hangovers and stimulating menstruation. In the present study, the carrot seed protein (CSP) extracted from carrot seed (Daucus c
Externí odkaz:
https://doaj.org/article/67b630a7f40d49239e4b34894c22e4ae
Autor:
Yu Hao, Minming Chen, Yumin Wu, Ziliang Dong, Yujie Zhu, Chunjie Wang, Quguang Li, Zhijuan Yang, Zhuang Liu, Liangzhu Feng
Publikováno v:
Chemical Engineering Journal. 462:142206
Structural and Functional Analysis of PGRP-LC Indicates Exclusive Dap-Type PGN Binding in Bumblebees
Publikováno v:
International Journal of Molecular Sciences
Volume 21
Issue 7
International Journal of Molecular Sciences, Vol 21, Iss 2441, p 2441 (2020)
Volume 21
Issue 7
International Journal of Molecular Sciences, Vol 21, Iss 2441, p 2441 (2020)
Peptidoglycan recognition proteins (PGRPs) play an important role in the defense against invading microbes via the recognition of the immunogenic substance peptidoglycan (PGN). Bees possess fewer PGRPs than Drosophila melanogaster and Anopheles gambi
Publikováno v:
Journal of immunology (Baltimore, Md. : 1950). 202(1)
The peptidoglycan recognition protein SAs (PGRP-SAs) from Bombus ignitus (Bi-PGRP-SA), Apis mellifera (Am-PGRP-SA), and Megachile rotundata PGRP-SA (Mr-PGRP-SA) exhibit an intrinsic ability to preferentially bind to Dap-type peptidoglycan (PGN) from
Publikováno v:
[Rapport de recherche] Laboratoire Aménagement Economie Transports – LAET (UMR 5593). 2017, 68 p
HAL
HAL
Les mobilités quotidiennes pour le travail ont connu de nombreux changements ces dernières décennies en France, en dépit d’un recours à la voiture toujours massif. Elles recouvrent aujourd’hui des formes multiples qui semblent liées, notamm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8f91db0f3525804e77f6e1791b5a079d
https://halshs.archives-ouvertes.fr/halshs-01702558/document
https://halshs.archives-ouvertes.fr/halshs-01702558/document
Autor:
Sheng, Lu, Min, Yan, Chen, Li, Chao, Yan, Xuexin, Yao, Minming, Chen, Runhua, Feng, Renda, Bi, Wentao, Liu, Zhenglun, Zhu, Zhenggang, Zhu
Publikováno v:
Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery. 19(5)
To investigate the clinicopathological features and postoperative short-term complications in the elderly gastric cancer patients.Clinical data of 270 elderly patients with gastric cancer who underwent gastrectomy in Department of Surgery, Ruijin Hos
Publikováno v:
2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).
This paper studies algorithms for solving the problem of recovering a low-rank matrix with a fraction of its entries arbitrarily corrupted. This problem can be viewed as a robust version of classical PCA, and arises in a number of application domains