Results 221 to 230 of about 55,687 (266)

A Methodological Approach for Evaluating the Genotypic Variation for Physiological Adaptation of Potato Wild Relatives for Heat Tolerance Breeding. [PDF]

Plants (Basel)
Bashir I, Nicolao R, Shimoia EP, do Amarante L, Castro CM, Heiden G.   +5 more
europepmc   +1 more source

Quantitative variation in finite parthenogenetic populations [PDF]

, 1990
Gabriel, Wilfried, Wagner, G. P.
core  

Burden and Correlates of Multiple Chronic Infections and Their Associations With Cancer Incidence in Chinese Adults: A Large Case‐Cohort Study

International Journal of Cancer, EarlyView.
While several oncogenic pathogens cause site‐specific cancers, uncertainties remain about many other chronic infections and combined pathogen effects, especially in non‐Western populations. Using a large case–cohort study nested within the China Kadoorie Biobank, the authors found that co‐infection was common, with a mean of 10 pathogens per individual.
Ling Yang, Jonathan Clarke, Lea Kröller, Christiana Kartsonaki, Hannah Fry, Rima Jeske, Andrew Gordon, Sarah Clark, Michael Hill, Daniel Avery, Yiping Chen, Huaidong Du, Jun Lv, Dianjianyi Sun, Canqing Yu, Liming Li, Iona Y. Millwood, Tim Waterboer, Zhengming Chen, on behalf of the China Kadoorie Biobank Collaborative Group, Junshi Chen, Zhengming Chen, Robert Clarke, Rory Collins, Liming Li, Jun Lv, Richard Peto, Robin Walters, Liming Li, Jun Lv, Canqing Yu, Dianjianyi Sun, Yuanjie Pang, Yuting Han, Can Hou, Qingmei Xia, Chao Liu, Pei Pei, Lang Pan, Xiao Han, Honglu Bian, Xinxin Chen, Daniel Avery, Maxim Barnard, Derrick Bennett, Ruth Boxall, Yiping Chen, Zhengming Chen, Jonathan Clarke, Robert Clarke, Huaidong Du, Ahmed Edris Mohamed, Hannah Fry, Prapthi Harish, Pek Kei Im, Andri Iona, Christiana Kartsonaki, Kshitij Kolhe, Hubert Lam, Kuang Lin, James Liu, Iona Millwood, Sam Morris, Qunhua Nie, Alfred Pozarickij, Maryam Rahmati, Paul Ryder, Maruf Sarder, Dan Schmidt, Becky Stevens, Iain Turnbull, Robin Walters, Baihan Wang, Lin Wang, Neil Wright, Ling Yang, Xiaoming Yang, Pang Yao, Zengchang Pang, Ruqin Gao, Kunzheng Lv, Shanpeng Li, Haiping Duan, Shaojie Wang, Yongmei Liu, Ranran Du, Liang Cheng, Xiaocao Tian, Hua Zhang, Dan Hu, Xiaoyan Zheng, Yujie Wang, Wei Sun, Shichun Yan, Chi Wang, Zhenyuan Wu, Lishun Zhai, Zhaoxi Pang, Shiwen Dong, Li Liu, Dapeng Yin, Bin He, Ying Liu, Xingren Wang, Tingting Ou, Xiangyang Zheng, Dewei Zheng, Shuai Yang, Lihui Li, Xingjiao Chen, Yan Xu, Jinyi Zhou, Ran Tao, Jian Su, Xikang Fan, Xuejia Chen, Yuxiao Huang, Yan Lu, Yujie Hua, Li Xing, Shuxian Wang, Jianrong Jin, Juping Ma, Jinchao Liu, Kaifei Zhu, Hongfu Ren, Xingfeng Shen, Ge Zhong, Wei Mao, Zhenzhen Lu, Yanxu Zhong, Lifang Zhou, Rong Pan, Jian Lan, Xiaoping Tan, Jinxue Tan, Yishan Xie, Liuping Wei, Liyuan Zhou, Sisi Wang, Xianping Wu, Ningmei Zhang, Xiaofang Chen, Xiaoyu Chang, Zhuo Wang, Yujin He, Mingqiang Yuan, Ling Wang, Xiaofang Chen, Zhaodong Wang, Qiang Sun, Yang Lin, Faqing Chen, Xiaolan Ren, Lijun Chang, Feiming Zhong, Jianjun Feng, Weijie Hu, Xiaofang Zhang, Yalin Chen, Honghong Wang, Jun Wang, Linqi Diao, Zhiwei Han, Dengjun Zhu, Kai Kang, Shixian Feng, Wenjie Yang, Huizi Tian, Yali Yan, Bing Han, Li Gao, Shaofang Li, Tianfang Xing, Wei Tang, Xiaolin Li, Huarong Sun, Xiaocong Zhao, Ying Li, Chen Hu, Pan He, Xukui Zhang, Yuanyuan Jin, Lan Luo, Min Yu, Ruying Hu, Hao Wang, Weiwei Gong, Jieming Zhong, Meng Wang, Chunxiao Xu, Keqing Gong, Hao Xu, Yuan Cao, Kaixu Xie, Lingli Chen, Xiaomei Tu, Junlong Pan, Xiaojun Li, Li Yin, Huilin Liu, Yuan Liu, Lei Yin, Xian Xie, Jing Wang, Bo Xiao, Zongwei Deng, Yuan Peng, Libo Zhang, Chan Qu, li Deng, Qili Jiang, Yanling Chen   +212 more
wiley   +1 more source

Exploring grain amaranth germplasm potential as a source of breeding nutritious leafy greens: insights from nutritional profiling, genetic and multivariate analysis. [PDF]

BMC Plant Biol
Priyadarsini S, Acharya GC, Singh S, Nandi A, Choudhari P, Nimje C.   +5 more
europepmc   +1 more source

Arbuscular mycorrhizal fungal community abundance, functions, and symbiotic interactions revealed by root metatranscriptomes

iMetaOmics, EarlyView.
Paradigm shift: PCR‐free methods reveal 6–15‐fold higher arbuscular mycorrhizal (AM) fungal abundance than metabarcoding, exposing systematic underestimation across decades of research. Predictive power: AM fungal abundance serves as a community‐level trait that predicts crop yield under drought conditions.
Peilin Chen, John W. Taylor, Cheng Gao
wiley   +1 more source

Evidence for the Stability Selection Mechanism in a Live Predator-Prey System. [PDF]

Ecol Lett
DeLong JP, Coblentz KE, Montooth KL, Yang Q, Thilakarathne D, Biagioli F.   +5 more
europepmc   +1 more source

Integrated high‐throughput phenomics and transcriptomics uncover the transcriptional mechanisms underlying rice responses to elevated CO2 concentration and cadmium stress

iMetaOmics, EarlyView.
Developing crop varieties with reduced cadmium (Cd) accumulation under elevated carbon dioxide (eCO2) requires hub gene identification and elucidation of its transcriptional mechanisms. Here, we acquired high‐throughput phenotyping of the rice cultivar Nipponbare across six key developmental stages under Cd stress and three eCO2 concentrations.
Weijun Guo, Hanlin Liu, Dongwei Li, Shang Xie, Yichao Mao, Liwen Yang, Cong Li, Weixuan Wang, Jian Tian, Xiaofeng Gu, Li Pu   +10 more
wiley   +1 more source

Estimating Genetic Variability and Heritability of Morpho-Agronomic Traits of M5 Cowpea (<i>Vigna unguiculata</i> (L.) Walp) Mutant Lines. [PDF]

Int J Mol Sci
Ramolekwa K, Pholo-Tait M, Parker T, Malambane G, Ngwako S, Lekgari L.   +5 more
europepmc   +1 more source

Napabucasin transforms liver microenvironment and boosts immunotherapy efficacy by converting potential metastases into “hot” tumors

Interdisciplinary Medicine, EarlyView.
Napabucasin reduces liver metastases by reprogramming the hepatic microenvironment. It induces hepatocyte secretion of CCL21 via c‐Fos activation, recruiting lymphocytes and converting “cold” metastases into immunologically “hot” tumors. This effect is liver‐specific and independent of cancer cells.
Qiongqiong Wang, Jiaqi Zhou, Hang Qiao, Yifan Jia, Ling Ye, Zeli Li, Jiahe Ouyang, Haoxian Zhou, Kangxin Zeng, Xuemeng Wang, Yixian Wang, Yang Zhang, Yupeng Zhang, Yizhou Cai, Yutao Hu, Minzhe Zhang, Wenwei Xu, Zhenzhen Wu, Xiaofang Qiu, Li Lin   +19 more
wiley   +1 more source

Deep learning‐based prediction of cervical lymph node metastasis and genetic alterations from whole‐slide images of thyroid cancer frozen sections

Interdisciplinary Medicine, EarlyView.
Deep learning models accurately predict cervical lymph node metastasis and key genetic mutations (BRAF/TERT) directly from thyroid cancer frozen sections. This AI‐driven pipeline provides a rapid real‐time tool to guide intraoperative surgical decisions, helping to optimize surgical extent and prevent both over‐ and under‐treatment without the need for
Mingxing Qiu, Jinbang Li, Shujing Guo, Danyi Li, Chengyu Lu, Chenglong Zhao, Jiankun He, Hanxi Wang, Qiao Bai, Aihetaimu Aimaier, Zhijian Cen, Rui Mao, Zimo Ye, Jiaxue Zang, Zhining Zhuo, Lijuan Qu, Yueping Liu, Jing Cui, Xiaohong Yao, Xiuwu Bian, Li Liang   +20 more
wiley   +1 more source