Alejandro Sweet-Cordero

Tabular foundation model predicts alternative lengthening of telomeres (ALT) and identifies SMARCAL1 as a target in ALT-driven cancers

The paper develops ALTitude, a machine learning model to predict ALT status from whole genome sequencing data, identifies SMARCAL1 as a therapeutic target in ALT-driven cancers.

STING activation reshapes the tumor microenvironment leading to tumor regression in osteosarcoma

This study shows that activating the STING pathway in osteosarcoma leads to tumor regression and immune memory, suggesting it as a therapeutic target.

Interrupting ELMSAN1 repression of nuclear Acetyl-CoA production therapeutically reprograms cancer cells

The paper identifies ELMSAN1 as a repressor of nuclear acetyl-CoA production and shows that inhibiting this interaction reprograms cancer cells to a postmitotic state, improving survival in multiple cancer models.

Targeting Osteosarcoma heterogeneity to improve therapeutic response

The paper identifies transcription factors that drive osteosarcoma cell states and shows that modulating them can increase sensitivity to targeted therapy.

Sensitive multimodal profiling of native DNA by transposase-mediated single-molecule sequencing

SMRT-Tag enables low-input, single-molecule sequencing for simultaneous detection of genetic and epigenetic variations in human samples.

Systematic Elucidation and Validation of OncoProtein-Centric Molecular Interaction Maps

The paper introduces an algorithm to reconstruct context-specific molecular interaction maps centered on oncoproteins, validating it with KRAS in lung adenocarcinoma and identifying novel synthetic lethal proteins.