Liu, Xin

The gut microbiome in atherosclerotic cardiovascular disease

Jie, Z., Xia, H., Zhong, S.-L., Feng, Q., Li, S., Liang, S., Zhong, H., Liu, Z., Gao, Y., Zhao, H., et al. (2017) · Nature Communications

Gut microbiota and healthOral microbiology and periodontitis research

Cited by 1,638

An atlas of the protein-coding genes in the human, pig, and mouse brain

Sjöstedt, E., Zhong, W., Fagerberg, L., Karlsson, M., Mitsios, N., Adori, C., Oksvold, P., Edfors, F., Limiszewska, A., Hikmet, F., et al. (2020) · Science

Single-cell and spatial transcriptomicsBioinformatics and Genomic Networks

Cited by 1,151

The genomic sequence of the Chinese hamster ovary (CHO)-K1 cell line

Xu, X., Nagarajan, H., Lewis, N. E., Pan, S., Cai, Z., Liu, X., Chen, W., Xie, M., Wang, W., Hammond, S., et al. (2011) · Nature Biotechnology

Viral Infectious Diseases and Gene Expression in InsectsFungal and yeast genetics research

Cited by 785

Single-Cell Exome Sequencing and Monoclonal Evolution of a JAK2-Negative Myeloproliferative Neoplasm

Hou, Y., Song, L., Zhu, P., Zhang, B., Tao, Y., Xu, X., Li, F., Wu, K., Liang, J., Shao, D., et al. (2012) · Cell

Cancer Genomics and DiagnosticsMyeloproliferative Neoplasms: Diagnosis and Treatment

Cited by 541

The sheep genome illuminates biology of the rumen and lipid metabolism

Jiang, Y., Xie, M., Chen, W., Talbot, R., Maddox, J. F., Faraut, T., Wu, C., Muzny, D. M., Li, Y., Zhang, W., et al. (2014) · Science

Genetic and phenotypic traits in livestockRuminant Nutrition and Digestive Physiology

Cited by 514

Genomic landscapes of Chinese hamster ovary cell lines as revealed by the Cricetulus griseus draft genome

Lewis, N. E., Liu, X., Li, Y., Nagarajan, H., Yerganian, G., O'Brien, E., Bordbar, A., Roth, A. M., Rosenbloom, J., Bian, C., et al. (2013) · Nature Biotechnology

Viral Infectious Diseases and Gene Expression in InsectsGenomics and Phylogenetic Studies

Cited by 380

Sodium selenate mitigates tau pathology, neurodegeneration, and functional deficits in Alzheimer’s disease models

van Eersel, J., Ke, Y. D., Liu, X., Delerue, F., Kril, J. J., Götz, J., & Ittner, L. M. (2010) · Proceedings of the National Academy of Sciences

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 284

10KP: A phylodiverse genome sequencing plan

Cheng, S., Melkonian, M., Smith, S. A., Brockington, S., Archibald, J. M., Delaux, P.-M., Li, F.-W., Melkonian, B., Mavrodiev, E. V., Sun, W., et al. (2018) · GigaScience

Genomics and Phylogenetic StudiesPlant Diversity and Evolution

Cited by 248

Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity

Liu, L., Liu, C., Quintero, A., Wu, L., Yuan, Y., Wang, M., Cheng, M., Leng, L., Xu, L., Dong, G., et al. (2019) · Nature Communications

Single-cell and spatial transcriptomicsGenomics and Chromatin Dynamics

Cited by 243

Single-cell spatial transcriptome reveals cell-type organization in the macaque cortex

Chen, A., Sun, Y., Lei, Y., Li, C., Liao, S., Meng, J., Bai, Y., Liu, Z., Liang, Z., Zhu, Z., et al. (2023) · Cell

Single-cell and spatial transcriptomicsNeuroscience and Neuropharmacology Research

Cited by 232

Enhancing CRISPR-Cas9 gRNA efficiency prediction by data integration and deep learning

Xiang, X., Corsi, G. I., Anthon, C., Qu, K., Pan, X., Liang, X., Han, P., Dong, Z., Liu, L., Zhong, J., et al. (2021) · Nature Communications

CRISPR and Genetic EngineeringRNA regulation and disease

Cited by 209

Tuning charge density of chimeric antigen receptor optimizes tonic signaling and CAR-T cell fitness

Chen, J., Qiu, S., Li, W., Wang, K., Zhang, Y., Yang, H., Liu, B., Li, G., Li, L., Chen, M., et al. (2023) · Cell Research

CAR-T cell therapy researchImmunotherapy and Immune Responses

Cited by 195

African lungfish genome sheds light on the vertebrate water-to-land transition

Wang, K., Wang, J., Zhu, C., Yang, L., Ren, Y., Ruan, J., Fan, G., Hu, J., Xu, W., Bi, X., et al. (2021) · Cell

Chromosomal and Genetic VariationsGenomics and Phylogenetic Studies

Cited by 192

Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: A retrospective, multicentre, diagnostic study

Gao, Y., Zeng, S., Xu, X., Li, H., Yao, S., Song, K., Li, X., Chen, L., Tang, J., Xing, H., et al. (2022) · The Lancet Digital Health

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 185

Polymannuronic acid prevents dopaminergic neuronal loss via brain-gut-microbiota axis in Parkinson's disease model

Dong, X.-L., Wang, X., Liu, F., Liu, X., Du, Z.-R., Li, R. W., Xue, C.-H., Wong, K.-H., Wong, W.-T., Zhao, Q., et al. (2020) · International Journal of Biological Macromolecules

Parkinson's Disease Mechanisms and TreatmentsGut microbiota and health

Cited by 75

The first chromosome‐level genome for a marine mammal as a resource to study ecology and evolution

Fan, G., Zhang, Y., Liu, X., Wang, J., Sun, Z., Sun, S., Zhang, H., Chen, J., Lv, M., Han, K., et al. (2019) · Molecular Ecology Resources

Genomics and Phylogenetic StudiesChromosomal and Genetic Variations

Cited by 45

Absolute quantification of all identified plasma proteins from SWATH data for biomarker discovery

Rice, S. J., Liu, X., Zhang, J., & Belani, C. P. (2019) · PROTEOMICS

Advanced Proteomics Techniques and ApplicationsAdvanced Biosensing Techniques and Applications

Cited by 12