Shaoheng Liang

Nov 6, 2024 | digitalcommons.library.tmc.edu | Jiakai Hou |Shaoheng Liang |Chunyu Xu |Yanjun Wei

Genetic screens are widely exploited to develop novel therapeutic approaches for cancer treatment. With recent advances in single-cell technology, single-cell CRISPR screen (scCRISPR) platforms provide opportunities for target validation and mechanistic studies in a high-throughput manner. Here, we aim to establish scCRISPR platforms which are suitable for immune-related screens involving multiple cell types.

Mar 13, 2024 | nature.com | Shaoheng Liang

AbstractClustering and visualization are essential parts of single-cell gene expression data analysis. The Euclidean distance used in most distance-based methods is not optimal. The batch effect, i.e., the variability among samples gathered from different times, tissues, and patients, introduces large between-group distance and obscures the true identities of cells.

Jan 1, 2024 | nature.com | Jiakai Hou |Yanjun Wei |Long Sun |Shaoheng Liang |Ashley Guerrero |Xiaobo Mao | +7 more

AbstractHost anti-viral factors are essential for controlling SARS-CoV-2 infection but remain largely unknown due to the biases of previous large-scale studies toward pro-viral host factors. To fill in this knowledge gap, we perform a genome-wide CRISPR dropout screen and integrate analyses of the multi-omics data of the CRISPR screen, genome-wide association studies, single-cell RNA-Seq, and host-virus proteins or protein/RNA interactome.