Diako Ebrahimi

CODMA-A3: A Competitive Oligo-based DNA Modification Assay Applied to APOBEC Enzymes

CODMA-A3 is a high-throughput assay for screening APOBEC3 variants, detecting substrate competition and activity changes without protein purification.

Deciphering the Network Architecture of APOBEC3-Driven Mutagenesis in HPV-Positive Head and Neck Cancers

The paper identifies APOBEC3A and APOBEC3B mutagenic effects in HPV-positive HNSCC by analyzing single-cell data, showing distinct mutational signatures linked to tumor stages and vaccine targets.

Deconvolution of HIV-1 Mutational Signatures Reveals Dominant and Donor-Specific APOBEC3-Associated Mutagenesis Across Anatomical Compartments

The paper deconvolves HIV-1 mutational signatures across anatomical compartments and identifies APOBEC3-associated mutagenesis as a major contributor, showing donor-specific patterns.

APOBEC3G Splicing Defects in Nonhuman Primate Models Result in Disparate Viral Mutational Profiles Relative to Humans

This study identifies APOBEC3G splicing defects in nonhuman primates that lead to different viral mutation profiles compared to humans.

HIV-1 Vpr drives epigenetic remodeling to enhance virus transcription and latency reactivation

This study identifies Vpr's role in epigenetic remodeling through DDR signaling to enhance HIV-1 transcription and latency reactivation.

Molecular mechanism for regulating APOBEC3G DNA editing function by the non-catalytic domain

This study identifies how AA/GA dinucleotides downstream of target-C sites enhance APOBEC3G DNA editing through structural and biochemical analysis of rhesus macaque A3G.

Insight into the origin of 5UTR and source of CpG reduction in SARS-CoV-2 genome

The paper investigates the origin of SARS-CoV-2 genome and the source of its low CpG content, finding evidence of recombination between bat and pangolin coronaviruses and ruling out ZAP as the cause of CpG reduction.

CANCERSIGN: a user-friendly and robust tool for identification and classification of mutational signatures and patterns in cancer genomes

CANCERSIGN identifies and classifies mutational signatures in cancer genomes using raw mutation data, enabling clustering and analysis of ICGC datasets to discover novel signatures.