Metatranscriptomic analysis of host response and vaginal microbiome of patients with severe COVID-19

Meng Xiao; Bo Lu; Rui Ding; Xia Liu; Xian Wu; Yaqian Li; Xudong Liu; Lin Qiu; Zhibo Zhang; Jing Xie; Yu Chen; Dong Zhang; Liting Dong; Meiling Zhang; Jinying Peng; Hua Yang; Timothy Kudihna; Yingchun Xu; Taisheng Li; Chengqi Yi; Lan Zhu

doi:10.1007/s11427-021-2091-0

Metatranscriptomic analysis of host response and vaginal microbiome of patients with severe COVID-19

Meng Xiao, Bo Lu, Rui Ding, Xia Liu, Xian Wu, Yaqian Li, Xudong Liu, Lin Qiu, Zhibo Zhang, Jing Xie, Yu Chen, Dong Zhang, Liting Dong, Meiling Zhang, Jinying Peng, Hua Yang, Timothy Kudihna, Yingchun Xu, Taisheng Li, Chengqi YiLan Zhu

Research output: Contribution to journal › Letter › peer-review

5 Citations (Scopus)

Original language	English
Pages (from-to)	1473-1476
Number of pages	4
Journal	Science China Life Sciences
Volume	65
Issue number	7
Early online date	14 Apr 2022
DOIs	https://doi.org/10.1007/s11427-021-2091-0
Publication status	Published - Jul 2022
Externally published	Yes

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10.1007/s11427-021-2091-0

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Xiao, M., Lu, B., Ding, R., Liu, X., Wu, X., Li, Y., Liu, X., Qiu, L., Zhang, Z., Xie, J., Chen, Y., Zhang, D., Dong, L., Zhang, M., Peng, J., Yang, H., Kudihna, T., Xu, Y., Li, T., ... Zhu, L. (2022). Metatranscriptomic analysis of host response and vaginal microbiome of patients with severe COVID-19. Science China Life Sciences, 65(7), 1473-1476. https://doi.org/10.1007/s11427-021-2091-0

@article{e0f0c30d4cda4b20bb3264c5f8f64bd7,

title = "Metatranscriptomic analysis of host response and vaginal microbiome of patients with severe COVID-19",

author = "Meng Xiao and Bo Lu and Rui Ding and Xia Liu and Xian Wu and Yaqian Li and Xudong Liu and Lin Qiu and Zhibo Zhang and Jing Xie and Yu Chen and Dong Zhang and Liting Dong and Meiling Zhang and Jinying Peng and Hua Yang and Timothy Kudihna and Yingchun Xu and Taisheng Li and Chengqi Yi and Lan Zhu",

note = "Funding Information: This work was supported by the National Key Research and Development Program of China (2020YFC0861000), Beijing Nova Program (Z201100006820127), International Innovation Resource Cooperation Project, Beijing Municipal Science and Technology Commission (Z201100008320024), the National Natural Science Foundation of China (31861143026, 91940304 and 21825701) and Epidemic Prevention and Control Special Project, Peking University. The funders played no role in study design, data collection, analysis, interpretation, report writing, or decision to submit the paper for publication. The authors would like to thank Vazyme Biotech in Nanjing, China, for assisting in library procedure optimization and providing library preparation kits. In addition, the authors would like to thank National Center for Protein Sciences at Peking University in Beijing, China, for assistance with experiments. Part of the analysis was performed on the High Performance Computing Platform of the Center for Life Science (Peking University). Funding Information: This work was supported by the National Key Research and Development Program of China (2020YFC0861000), Beijing Nova Program (Z201100006820127), International Innovation Resource Cooperation Project, Beijing Municipal Science and Technology Commission (Z201100008320024), the National Natural Science Foundation of China (31861143026, 91940304 and 21825701) and Epidemic Prevention and Control Special Project, Peking University. The funders played no role in study design, data collection, analysis, interpretation, report writing, or decision to submit the paper for publication. The authors would like to thank Vazyme Biotech in Nanjing, China, for assisting in library procedure optimization and providing library preparation kits. In addition, the authors would like to thank National Center for Protein Sciences at Peking University in Beijing, China, for assistance with experiments. Part of the analysis was performed on the High Performance Computing Platform of the Center for Life Science (Peking University).",

year = "2022",

month = jul,

doi = "10.1007/s11427-021-2091-0",

language = "English",

volume = "65",

pages = "1473--1476",

journal = "Science China Life Sciences",

issn = "1869-1889",

publisher = "Science in China Press",

number = "7",

}

Xiao, M, Lu, B, Ding, R, Liu, X, Wu, X, Li, Y, Liu, X, Qiu, L, Zhang, Z, Xie, J, Chen, Y, Zhang, D, Dong, L, Zhang, M, Peng, J, Yang, H, Kudihna, T, Xu, Y, Li, T, Yi, C & Zhu, L 2022, 'Metatranscriptomic analysis of host response and vaginal microbiome of patients with severe COVID-19', Science China Life Sciences, vol. 65, no. 7, pp. 1473-1476. https://doi.org/10.1007/s11427-021-2091-0

TY - JOUR

T1 - Metatranscriptomic analysis of host response and vaginal microbiome of patients with severe COVID-19

AU - Xiao, Meng

AU - Lu, Bo

AU - Ding, Rui

AU - Liu, Xia

AU - Wu, Xian

AU - Li, Yaqian

AU - Liu, Xudong

AU - Qiu, Lin

AU - Zhang, Zhibo

AU - Xie, Jing

AU - Chen, Yu

AU - Zhang, Dong

AU - Dong, Liting

AU - Zhang, Meiling

AU - Peng, Jinying

AU - Yang, Hua

AU - Kudihna, Timothy

AU - Xu, Yingchun

AU - Li, Taisheng

AU - Yi, Chengqi

AU - Zhu, Lan

N1 - Funding Information: This work was supported by the National Key Research and Development Program of China (2020YFC0861000), Beijing Nova Program (Z201100006820127), International Innovation Resource Cooperation Project, Beijing Municipal Science and Technology Commission (Z201100008320024), the National Natural Science Foundation of China (31861143026, 91940304 and 21825701) and Epidemic Prevention and Control Special Project, Peking University. The funders played no role in study design, data collection, analysis, interpretation, report writing, or decision to submit the paper for publication. The authors would like to thank Vazyme Biotech in Nanjing, China, for assisting in library procedure optimization and providing library preparation kits. In addition, the authors would like to thank National Center for Protein Sciences at Peking University in Beijing, China, for assistance with experiments. Part of the analysis was performed on the High Performance Computing Platform of the Center for Life Science (Peking University). Funding Information: This work was supported by the National Key Research and Development Program of China (2020YFC0861000), Beijing Nova Program (Z201100006820127), International Innovation Resource Cooperation Project, Beijing Municipal Science and Technology Commission (Z201100008320024), the National Natural Science Foundation of China (31861143026, 91940304 and 21825701) and Epidemic Prevention and Control Special Project, Peking University. The funders played no role in study design, data collection, analysis, interpretation, report writing, or decision to submit the paper for publication. The authors would like to thank Vazyme Biotech in Nanjing, China, for assisting in library procedure optimization and providing library preparation kits. In addition, the authors would like to thank National Center for Protein Sciences at Peking University in Beijing, China, for assistance with experiments. Part of the analysis was performed on the High Performance Computing Platform of the Center for Life Science (Peking University).

PY - 2022/7

Y1 - 2022/7

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U2 - 10.1007/s11427-021-2091-0

DO - 10.1007/s11427-021-2091-0

M3 - Letter

C2 - 35441283

AN - SCOPUS:85128421004

SN - 1869-1889

VL - 65

SP - 1473

EP - 1476

JO - Science China Life Sciences

JF - Science China Life Sciences

IS - 7

ER -

Metatranscriptomic analysis of host response and vaginal microbiome of patients with severe COVID-19

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