Automated Author Profile

Zeng, Yi-Xin

Current S-Index

8.8

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.8

Average Dataset Index per dataset

Total Datasets

11

Total datasets for this author

Average FAIR Score

84.6%

Average FAIR Score per dataset

Total Citations

8

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

HLA-Bw4 in association with KIR3DL1 favors natural killer cell-mediated protection against severe COVID-19

Replicating SARS-CoV-2 has been shown to degrade HLA class I on target cells to evade the cytotoxic T-cell (CTL) response. HLA-I downregulation can be sensed by NK cells to unleash killer cell immunoglobulin-like receptor (KIR)-mediated self-inhibition by the cognate HLA-I ligands. Here, we investigated the impact of HLA and KIR genotypes and HLA-KIR combinations on COVID-19 outcome. We found that the peptide affinities of HLA alleles were not correlated with COVID-19 severity. The predicted poor binders for SARS-CoV-2 peptides belong to HLA-B subtypes that encode KIR ligands, including Bw4 and C1 (introduced by B*46:01), which have a small F pocket and cannot accommodate SARS-CoV-2 CTL epitopes. However, HLA-Bw4 weak binders were beneficial for COVID-19 outcome, and individuals lacking the HLA-Bw4 motif were at higher risk for serious illness from COVID-19. The presence of the HLA-Bw4 and KIR3DL1 combination had a 58.8% lower risk of developing severe COVID-19 (OR = 0.412, 95% CI = 0.187-0.904, p = 0.02). This suggests that HLA-Bw4 alleles that impair their ability to load SARS-CoV-2 peptides will become targets for NK-mediated destruction. Thus, we proposed that the synergistic responsiveness of CTLs and NK cells can efficiently control SARS-CoV-2 infection and replication, and NK-cell-mediated anti-SARS-CoV-2 immune responses being mostly involved in severe infection when the level of ORF8 is high enough to degrade HLA-I. The HLA-Bw4/KIR3DL1 genotype may be particularly important for East Asians undergoing COVID-19 who are enriched in HLA-Bw4-inhibitory KIR interactions and carry a high frequency of HLA-Bw4 alleles that bind poorly to coronavirus peptides.

Authors

  • Wang, Ruihua ;
  • Sun, Ying ;
  • Kuang, Bo-Hua ;
  • Yan, Xiao ;
  • Lei, Jinju ;
  • Lin, Yu-Xin ;
  • Tian, Jinxiu ;
  • Li, Yating ;
  • Xie, Xiaoduo ;
  • Chen, Tao ;
  • Zhang, Hui ;
  • Zeng, Yi-Xin ;
  • Zhao, Jincun ;
  • Feng, Lin
1 Citation0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.22187218.v22023

HLA-Bw4 in association with KIR3DL1 favors natural killer cell-mediated protection against severe COVID-19

Replicating SARS-CoV-2 has been shown to degrade HLA class I on target cells to evade the cytotoxic T-cell (CTL) response. HLA-I downregulation can be sensed by NK cells to unleash killer cell immunoglobulin-like receptor (KIR)-mediated self-inhibition by the cognate HLA-I ligands. Here, we investigated the impact of HLA and KIR genotypes and HLA-KIR combinations on COVID-19 outcome. We found that the peptide affinities of HLA alleles were not correlated with COVID-19 severity. The predicted poor binders for SARS-CoV-2 peptides belong to HLA-B subtypes that encode KIR ligands, including Bw4 and C1 (introduced by B*46:01), which have a small F pocket and cannot accommodate SARS-CoV-2 CTL epitopes. However, HLA-Bw4 weak binders were beneficial for COVID-19 outcome, and individuals lacking the HLA-Bw4 motif were at higher risk for serious illness from COVID-19. The presence of the HLA-Bw4 and KIR3DL1 combination had a 58.8% lower risk of developing severe COVID-19 (OR = 0.412, 95% CI = 0.187-0.904, p = 0.02). This suggests that HLA-Bw4 alleles that impair their ability to load SARS-CoV-2 peptides will become targets for NK-mediated destruction. Thus, we proposed that the synergistic responsiveness of CTLs and NK cells can efficiently control SARS-CoV-2 infection and replication, and NK-cell-mediated anti-SARS-CoV-2 immune responses being mostly involved in severe infection when the level of ORF8 is high enough to degrade HLA-I. The HLA-Bw4/KIR3DL1 genotype may be particularly important for East Asians undergoing COVID-19 who are enriched in HLA-Bw4-inhibitory KIR interactions and carry a high frequency of HLA-Bw4 alleles that bind poorly to coronavirus peptides.

Authors

  • Wang, Ruihua ;
  • Sun, Ying ;
  • Kuang, Bo-Hua ;
  • Yan, Xiao ;
  • Lei, Jinju ;
  • Lin, Yu-Xin ;
  • Tian, Jinxiu ;
  • Li, Yating ;
  • Xie, Xiaoduo ;
  • Chen, Tao ;
  • Zhang, Hui ;
  • Zeng, Yi-Xin ;
  • Zhao, Jincun ;
  • Feng, Lin
1 Citation0 Mentions85% FAIR1.0 Dataset Index
10.6084/m9.figshare.221872182023

NHL GWAS summary statistics in Chinese population

Summary statistics of all genotyped SNPs in discovery stage GWAS. Data includes SNP, CHR, BP.B37, TestAllele, TAF_Cases, TAF_Controls, MajorAlelle, OR, SE, P. TAF: Test allele frequency, BP: position (build 37), OR: Odds ratio, SE: standard error and P: pvalue.

Authors

  • Tan, Dennis E K ;
  • Foo, Jia Nee ;
  • Bei, Jin-Xin ;
  • Chang, Jiang ;
  • Peng, Roujun ;
  • Zheng, Xiaohui ;
  • Wei, Lixuan ;
  • Huang, Ying ;
  • Lim, Wei Yen ;
  • Li, Juan ;
  • Cui, Qian ;
  • Chew, Soo Hong ;
  • Ebstein, Richard P ;
  • Kuperan, Ponnudurai ;
  • Lim, Soon Thye ;
  • Tao, Miriam ;
  • Tan, Suat Hoon ;
  • Wong, Alvin ;
  • Wong, Gee Chuan ;
  • Tan, Soo Yong ;
  • Ng, Siok Bian ;
  • Zeng, Yi-Xin ;
  • Khor, Chiea Chuen ;
  • Lin, Dongxin ;
  • Seow, Adeline L H ;
  • Jia, Wei-Hua ;
  • Liu, Jianjun
0 Citations0 Mentions85% FAIR0.4 Dataset Index
10.6084/m9.figshare.82607542019

NHL GWAS summary statistics in Chinese population

Summary statistics of all genotyped SNPs in discovery stage GWAS. Data includes SNP, CHR, BP.B37, TestAllele, TAF_Cases, TAF_Controls, MajorAlelle, OR, SE, P. TAF: Test allele frequency, BP: position (build 37), OR: Odds ratio, SE: standard error and P: pvalue.

Authors

  • Tan, Dennis E K ;
  • Foo, Jia Nee ;
  • Bei, Jin-Xin ;
  • Chang, Jiang ;
  • Roujun Peng ;
  • Xiaohui Zheng ;
  • Lixuan Wei ;
  • Huang, Ying ;
  • Lim, Wei Yen ;
  • Li, Juan ;
  • Cui, Qian ;
  • Chew, Soo Hong ;
  • Ebstein, Richard P ;
  • Kuperan, Ponnudurai ;
  • Lim, Soon Thye ;
  • Tao, Miriam ;
  • Tan, Suat Hoon ;
  • Wong, Alvin ;
  • Wong, Gee Chuan ;
  • Tan, Soo Yong ;
  • Siok Bian Ng ;
  • Zeng, Yi-Xin ;
  • Chiea Chuen Khor ;
  • Dongxin Lin ;
  • Seow, Adeline L H ;
  • Jia, Wei-Hua ;
  • Jianjun Liu
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.8260754.v12019

Supplementary tables Chang from Region-specific RNA m<sup>6</sup>A methylation represents a new layer of control in the gene regulatory network in the mouse brain.

Supplementary table S4-S12

Authors

  • Mengqi Chang ;
  • Hongyi Lv ;
  • Weilong Zhang ;
  • Chunhui Ma ;
  • He, Xue ;
  • Shunli Zhao ;
  • Zhang, Zhi-Wei ;
  • Zeng, Yi-Xin ;
  • Shuhui Song ;
  • Yamei Niu ;
  • Tong, Wei-Min
1 Citation0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.53459592017

Supplementary tables Chang from Region-specific RNA m<sup>6</sup>A methylation represents a new layer of control in the gene regulatory network in the mouse brain

Supplementary table S4-S12

Authors

  • Mengqi Chang ;
  • Hongyi Lv ;
  • Weilong Zhang ;
  • Chunhui Ma ;
  • He, Xue ;
  • Shunli Zhao ;
  • Zhang, Zhi-Wei ;
  • Zeng, Yi-Xin ;
  • Shuhui Song ;
  • Yamei Niu ;
  • Tong, Wei-Min
1 Citation0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.5345959.v12017

Supplementary tables Chang from Region-specific RNA m<sup>6</sup>A methylation represents a new layer of control in the gene regulatory network in the mouse brain.

Supplementary table S4-S12

Authors

  • Mengqi Chang ;
  • Hongyi Lv ;
  • Weilong Zhang ;
  • Chunhui Ma ;
  • He, Xue ;
  • Shunli Zhao ;
  • Zhang, Zhi-Wei ;
  • Zeng, Yi-Xin ;
  • Shuhui Song ;
  • Yamei Niu ;
  • Tong, Wei-Min
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.5345959.v22017

Additional file 2: Table S9. of Argonaute 2 and nasopharyngeal carcinoma: a genetic association study and functional analysis

Genes with significantly altered expression following AGO2 knockdown in CNE2Z cells. (XLS 208Â kb)

Authors

  • Peiyao Li ;
  • Jinfeng Meng ;
  • Zhai, Yun ;
  • Hongxing Zhang ;
  • Lixia Yu ;
  • Zhifu Wang ;
  • Xiaoai Zhang ;
  • Pengbo Cao ;
  • Chen, Xi ;
  • Yuqing Han ;
  • Zhang, Yang ;
  • Huipeng Chen ;
  • Ling, Yan ;
  • Yuxia Li ;
  • Cui, Ying ;
  • Bei, Jin-Xin ;
  • Zeng, Yi-Xin ;
  • Fuchu He ;
  • Gangqiao Zhou
1 Citation0 Mentions85% FAIR1.0 Dataset Index
10.6084/m9.figshare.c.3621731_d2.v12015

Additional file 3: Table S10. of Argonaute 2 and nasopharyngeal carcinoma: a genetic association study and functional analysis

Biological network analysis of genes with significantly altered expression following AGO2 knockdown in CNE2Z cells. (XLS 29Â kb)

Authors

  • Peiyao Li ;
  • Jinfeng Meng ;
  • Zhai, Yun ;
  • Hongxing Zhang ;
  • Lixia Yu ;
  • Zhifu Wang ;
  • Xiaoai Zhang ;
  • Pengbo Cao ;
  • Chen, Xi ;
  • Yuqing Han ;
  • Zhang, Yang ;
  • Huipeng Chen ;
  • Ling, Yan ;
  • Yuxia Li ;
  • Cui, Ying ;
  • Bei, Jin-Xin ;
  • Zeng, Yi-Xin ;
  • Fuchu He ;
  • Gangqiao Zhou
1 Citation0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.c.3621731_d32015

Additional file 3: Table S10. of Argonaute 2 and nasopharyngeal carcinoma: a genetic association study and functional analysis

Biological network analysis of genes with significantly altered expression following AGO2 knockdown in CNE2Z cells. (XLS 29Â kb)

Authors

  • Peiyao Li ;
  • Jinfeng Meng ;
  • Zhai, Yun ;
  • Hongxing Zhang ;
  • Lixia Yu ;
  • Zhifu Wang ;
  • Xiaoai Zhang ;
  • Pengbo Cao ;
  • Chen, Xi ;
  • Yuqing Han ;
  • Zhang, Yang ;
  • Huipeng Chen ;
  • Ling, Yan ;
  • Yuxia Li ;
  • Cui, Ying ;
  • Bei, Jin-Xin ;
  • Zeng, Yi-Xin ;
  • Fuchu He ;
  • Gangqiao Zhou
1 Citation0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.c.3621731_d3.v12015