Author

W. Rao

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 2 Biochemistry· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Approach:experimental assay· 2 Organism:human· 2 Assay:metagenomics· 2 Research Focus:differential expression· 1 Assay:imaging· 1 Organism:mouse· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Y. Wang· 3 shared D. Zhou· 2 shared F. Li· 2 shared H. Jia· 2 shared H. Lian· 2 shared H. Lu· 2 shared H. Yang· 2 shared H. Zhou· 2 shared

Activity by Year

2019-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersMicrobiology

Y. Wang

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Visualising Cholesterol in Brain by On-Tissue Derivatisation and Quantitative Mass Spectrometry Imaging

R. Angelini, E. Yutuc, M. F. Wyatt, J. Newton, F. A. Yusuf, L. Griffiths, B. J. Cooze, D. El Assad, G. Frache, W. Rao, L. B. Allen, Z. Korade, T. T. Nguyen, R. A. Rathnayake, S. M. Cologna, , W. J. Griffiths

This study uses mass spectrometry imaging to visualize cholesterol distribution in mouse brain tissue, showing reduced cholesterol in specific regions of NPC1 disease models and during development.

bioRxiv · Nov 6, 2020 · PreprintBiochemistry

A multi-omic cohort as a reference point for promoting a healthy human gut microbiome

Z. Jie, S. Liang, Q. Ding, F. Li, S. Tang, D. Wang, Y. Lin, P. Chen, K. Cai, X. Qiu, Q. Li, Y. Liao, D. Zhou, H. Lian, Y. Zuo, , X. Xu

The paper presents a large multi-omic cohort of 2,183 adults to identify correlations between gut microbiome features and various health-related factors, validated in an additional cohort.

bioRxiv · Nov 8, 2019Microbiology

Life history recorded in the vagino-cervical microbiome

Z. Jie, C. Chen, L. Hao, F. Li, L. Song, X. Zhang, J. Zhu, L. Tian, X. Tong, K. Cai, Y. Ju, X. Yu, Y. Li, H. Zhou, H. Lu, , H. Jia

This study analyzes the vagino-cervical microbiome of 516 women using metagenomic shotgun sequencing to explore how pregnancy, delivery, and contraception influence microbiome composition.

bioRxiv · Sep 4, 2019Microbiology