Francisco J. Sánchez Rivera

Tumor cell-intrinsic stress states drive sensitivity to CAR T cell-therapy in pancreatic cancer

This study identifies tumor-intrinsic stress states as modulators of CAR T cell therapy response in pancreatic cancer using CRISPR screens and single-cell genomics.

Epigenetic Reactivation of Lineage Differentiation to Target Leukemia

This study identifies TRIM28 as a critical regulator in acute leukemia, showing its depletion promotes neutrophil differentiation and reduces leukemic potential, with a small-molecule inhibitor developed to target it.

Multiomic screening platform uncovers the impact of histone mutations on chromatin and cell fate

This study develops CHANCLA, a multiomic platform to screen oncohistones, revealing their impact on chromatin and cell fate through functional and structural analyses.

Programmable nanobody circuits for cell selection

This paper introduces DASIT, a protein-based circuit for antigen-specific cell selection, demonstrating its utility in genome engineering, CRISPR screening, and cell therapy manufacturing.

Site of breast cancer metastasis is independent of single nutrient levels

This study shows that single nutrients do not determine breast cancer metastasis sites, and identifies purine synthesis as a key factor across multiple tissues.

Dominant-negative TP53 mutations potentiated by the HSF1-regulatedproteostasis network

The paper shows that HSF1 activation supports the emergence of cancer-associated p53 mutations by enhancing their fitness under nutlin-3 pressure.

A functional map of CDK-drug interactions at single amino acid resolution

The paper maps CDK-drug interactions at single amino acid resolution using genome editing and computational analysis, identifying critical residues and resistance mechanisms.

Genome-wide CRISPR guide RNA design and specificity analysis with GuideScan2

GuideScan2 constructs high-specificity CRISPR gRNA databases and enables design of allele-specific gRNAs, reducing off-target effects in gene essentiality screens.

Computational modeling of human genetic variants in mice

H2M is a computational pipeline that models human genetic variants in mice by predicting equivalent mutations and creating a database of mutation pairs for functional studies.

Multiplexed in vivo base editing identifies functional gene-variant-context interactions

The paper uses in vivo base editing to systematically analyze the functional impact of genetic variants in cancer models, revealing context-dependent effects and limitations of CRISPR-Cas9.

High throughput evaluation of genetic variants with prime editing sensor libraries

This study evaluates the functional impact of genetic variants using a high-throughput prime editing sensor strategy, identifying both known and novel TP53 variants with diverse effects on p53 function.