Automated Author Profile

Liu, Yang

Yale University

Current S-Index

0.7

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.4

Average Dataset Index per dataset

Total Datasets

2

Total datasets for this author

Average FAIR Score

33.7%

Average FAIR Score per dataset

Total Citations

0

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

Spatial microbiome sequencing with microDBiT

Traditional microbiome studies rely on shotgun DNA sequencing, which loses all spatial context and information about functional interactions with the host. We recently developed a novel spatial sequencing technology called microDBIT (Spatial Co-profiling of Genome/Epigenome and Transcriptome) to simultaneously map the genomes, epigenomes, and transcriptomes of microbial and host cells within their spatial context. This approach can reveal the diverse states of the microbiome and brain tissue, and their interactions in gut tissue. microDBIT leverages deterministic barcoding in tissue for spatial omics profiling, allowing the identification of bacterial species and their activities by capturing their unique genomes and transcriptomes. Additionally, it can co-map host epigenomes and gene expression. microDBIT represents a flexible, multi-omics sequencing platform and will be the first to comprehensively map microbiome-brain interactions and the gut microenvironment of Parkinson’s disease.

Authors

  • Liu, Yang
0 Citations0 Mentions13% FAIR0.1 Dataset Index
10.5281/zenodo.11624312June 2024

Spatial microbiome sequencing with microDBiT

Traditional microbiome studies rely on shotgun DNA sequencing, which loses all spatial context and information about functional interactions with the host. We recently developed a novel spatial sequencing technology called microDBIT (Spatial Co-profiling of Genome/Epigenome and Transcriptome) to simultaneously map the genomes, epigenomes, and transcriptomes of microbial and host cells within their spatial context. This approach can reveal the diverse states of the microbiome and brain tissue, and their interactions in gut tissue. microDBIT leverages deterministic barcoding in tissue for spatial omics profiling, allowing the identification of bacterial species and their activities by capturing their unique genomes and transcriptomes. Additionally, it can co-map host epigenomes and gene expression. microDBIT represents a flexible, multi-omics sequencing platform and will be the first to comprehensively map microbiome-brain interactions and the gut microenvironment of Parkinson’s disease.

Authors

  • Liu, Yang
0 Citations0 Mentions54% FAIR0.6 Dataset Index
10.5281/zenodo.11624313June 2024