F. Feng

Dual-view jointly learning improves personalized drug synergy prediction

This paper introduces JointSyn, a dual-view learning method for predicting drug synergy, showing improved accuracy and generalization across datasets.

ZNF397 Loss Triggers TET2-driven Epigenetic Rewiring, Lineage Plasticity, and AR-targeted Therapy Resistance in AR-dependent Cancers

This study shows ZNF397 loss leads to TET2-driven epigenetic changes, lineage plasticity, and resistance to AR-targeted therapies in AR-dependent cancers, with TET2 inhibitors reversing resistance.

Characterizing adjuvants' effects at the murine immunoglobulin repertoire level

The paper develops improved protocols and analysis pipelines to study adjuvant effects on murine Ig repertoires, finding distinct impacts of CpG and Alum on tissue and isotype-specific IgG and IgM repertoires.

Noninvasive cancer detection by extracting and integrating multi-modal data from whole-methylome sequencing of plasma cell-free DNA

This paper develops a method to detect cancer noninvasively by integrating methylation, fragmentation, and copy number data from plasma cell-free DNA using machine learning.

Identification and calibration of ultrabright localizations to eliminate quantification error in SMLM

This paper identifies and calibrates ultrabright localizations in SMLM to improve quantification accuracy for biomolecular organization.

The CIC-ERF co-deletion underlies fusion independent activation of ETS family member, ETV1, to drive prostate cancer progression

This study identifies that the co-deletion of CIC and ERF leads to ETV1 activation, driving prostate cancer progression without fusion events.

Susceptibilities of human ACE2 genetic variants in coronavirus infection

The paper investigates how genetic variants in the ACE2 gene affect susceptibility to SARS-CoV-2 infection by analyzing their impact on viral entry.

An Aerobic Anoxygenic Phototrophic Bacterium Fixes CO2 via the Calvin-Benson-Bassham Cycle

The paper identifies a novel aerobic anoxygenic phototrophic bacterium, strain B3, capable of photoautotrophy via the Calvin-Benson-Bassham cycle using sulfite or H2 as electron donors.

Molecular basis for SPINDOC-Spindlin1 engagement and its role in transcriptional inhibition

This paper identifies the molecular mechanism by which SPIN*DOC inhibits Spindlin1's transcriptional coactivator activity through multivalent binding and competitive inhibition.

Structured illumination microscopy artifacts caused by illumination scattering

This study investigates SIM artifacts caused by light scattering in thick samples and shows how sample thickness affects 2D-SIM image reconstruction.

Role of Specialized mSWI/SNF Complexes in Prostate Cancer Lineage Plasticity

The paper investigates the role of mSWI/SNF complexes in NEPC lineage plasticity using patient data and cell models, finding deregulated subunits and SMARCA4 overexpression linked to aggressive disease.

Antimicrobial emulsifier - glycerol monolaurate impacts gut micobiome inducing distinct effects on metabolic syndrome in low-fat diet fed mice

This study investigates how different doses of glycerol monolaurate (GML) affect gut microbiota and metabolic syndrome in low-fat diet-fed mice, showing high-dose GML reduces MetS through microbiota changes.

The S1/S2 boundary of SARS-CoV-2 spike protein modulates cell entry pathways and transmission

This study shows that the S1/S2 boundary of the SARS-CoV-2 spike protein affects cell entry and transmission by altering the pathway used for viral entry.

Cell-free DNA as a biomarker for prostate cancer: elevated concentration and decreased fragment size

This study finds that higher plasma cfDNA concentrations and smaller fragment sizes are associated with more advanced prostate cancer.

Mutant ACTB mRNA 3′UTR Promotes Hepatocellular Carcinoma Development by Regulating miR-1 and miR-29a

This study shows mutant ACTB mRNA 3'UTR promotes HCC by interacting with miR-1 and miR-29a, leading to increased MET and MCL1 expression.

A Computational Solution To Improve Biomarker Reproducibility During Long-term Projects

The paper develops a computational solution to improve biomarker reproducibility across ELISA kit lots in long-term projects by modeling standard curve shifts and adjusting data accordingly.