Xiangfu Zhong

The human RNA-DNA interactome is cell type-specific and dynamic

The paper maps RNA-DNA interactions in 16 human cell types, showing cell-type-specific and dynamic networks that correlate with gene regulation and disease traits.

Plasma proteome screen of individuals with elevated blood counts to identify diagnostic signatures and biomarkers inherent to patients with myeloproliferative neoplasms

The paper identifies plasma proteome biomarkers distinguishing myeloproliferative neoplasms from non-MPN individuals with elevated blood counts, finding TFRC as a specific marker for polycythemia vera.

The cellular state space of AML unveils novel NPM1 subtypes with distinct clinical outcomes and immune evasion properties

This study uses single-cell RNA sequencing to identify novel NPM1 subtypes in AML with distinct clinical outcomes and immune evasion properties.

An extension to: Systematic assessment of commercially available low-input miRNA library preparation kits

The paper evaluates two additional miRNA library preparation kits, confirming that miRNA abundance biases are kit-specific and affect dataset comparability.

Systematic assessment of commercially available low-input miRNA library preparation kits

This study evaluates six commercial low-input miRNA library prep kits, finding differences in detection sensitivity and differential expression but no kit fully captures all expected miRNAs.

miRAW: A deep learning approach to predict miRNA targets by analyzing whole miRNA transcripts

The paper introduces a deep learning method for miRNA target prediction that analyzes the entire miRNA and 3UTR mRNA, outperforming existing methods by considering non-seed region interactions.