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Keyi LI

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Articles

A spatial multi-omics atlas of immunosenescence reveals germinal-center B cell alteration in human lymph nodes

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By Negin Farzad, Archibald Enninful, Yao Lu Verified, Fabio Parisi, Anthony Fung, Yumi Kwon, yajuan Li, Mingyu Yang, Francesco Strino, Liang Chen, Junchen Yang, Mei Zhong, Fu Gao, Bo Tao, Joseph Cunningham, Zhiliang Bai, Haikuo Li, Fang Wang, Michael C Stankewich, Dongjoo Kim, Mingze Dong, Lisa M. Bramer, Keyi LI, Meera Bhat, Joseph Craft, Ljiljana Paša-Tolić, Stephanie Halene, Lingyan Shi, Yuval Kluger, Mina L. Xu, Rong Fan, Margaux Labrosse, Evan J. Loe
| Cell Press Verified
To investigate senescence-associated and age-related changes in human LNs, we analyzed whole LN resections or needle biopsy tissue blocks from 65 donors (41 males and 24 females; 108 total samples) obtained through the Yale Pathology Tissue Service. LN tissue samples were stratified into three age groups: group 1 (<50 years, n = 26), group 2 (50–69 years, n = 15), and group 3 (≥70 years, n = 10), with median ages of 32, 56, and 75 years, respectively (Figures 1 and S1; Table S1).
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Spatially decoding genotype-associated epigenetic landscapes in human lymphoma FFPE tissues via epi-Patho-DBiT

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By Haikuo Li, Bo Tao, Archibald Enninful, Dingyao Zhang, Yi Dai, Fiona Oh, Negin Farzad, Keyi LI, Zhiliang Bai, Xiaoyu Qin, Mingyu Yang, Emily Hwang, Jun Lu, Mark Gerstein, Jingtian Zhou, Mina L. Xu, Rong Fan
| Nature Verified
Abstract While formalin-fixed paraffin-embedded (FFPE) samples are invaluable for human non-Hodgkin B-cell lymphoma translational research, effective methods for spatial profiling of chromatin accessibility and histone modifications in these tissues remain limited.
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Nonlinear association between physical activity and bone mineral density in adolescents

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By Keyi LI, Jianmin Qu, Chunhong Guo
| Nature Verified
Abstract This study aimed to examine the association between physical activity (PA) and bone mineral density (BMD) and to explore potential non-linear and threshold relationships in adolescents aged 12–19 years. Data from the National Health and Nutrition Examination Survey 2005–2010 were used for this cross-sectional analysis. Statistical analyses included weighted multivariate linear regression, restricted cubic spline (RCS) analysis, threshold effect evaluation, and sensitivity analyses.
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