Adrián López García de Lomana

ATG7 function promotes pancreatic cancer progression independently of autophagy

This study identifies ATG7(2) as a driver of pancreatic cancer progression independent of autophagy, showing its role in promoting proliferation, migration, and tumor growth.

Physics-Informed Neural Networks for Parameter Recovery in the Repressilator Oscillatory Model

This study evaluates the reliability of physics-informed neural networks (PINNs) for parameter recovery in the repressilator model, showing accurate trajectory reconstruction but challenges in parameter estimation due to noise and model assumptions.

Integrating trajectory inference and gene regulatory network analysis to resolve transcriptional programs of T cell state transitions in the tumor microenvironment

This paper provides a computational workflow for analyzing T cell state transitions in the tumor microenvironment using single-cell RNA sequencing data, integrating trajectory inference and gene regulatory network analysis.

Transcriptional reprogramming of tumor-infiltrating T cells during PD-1 blockade revealed through gene regulatory network and trajectory inference in squamous cell carcinoma

This study uses gene regulatory network and trajectory inference to analyze single-cell RNA-seq data from squamous cell carcinoma, revealing how PD-1 blockade reprograms T cell states and identifies key transcriptional regulators.

MITF maintains genome stability in non-melanocytic cell lineages and suppresses Hippo pathway signaling

This study shows MITF maintains genome stability in non-melanocytic cells by suppressing Hippo pathway signaling through LATS2 and ATR.

Gene Regulatory Network topology governs resistance and treatment escape in glioma stem-like cells

The paper shows how gene regulatory network topology in glioma stem-like cells influences drug resistance and treatment escape, suggesting strategies to overcome resistance through combinatorial therapies.

A genome-scale atlas reveals complex interplay of transcription and translation in an archaeon

This study integrates omics data to reveal post-transcriptional regulation mechanisms in Halobacterium salinarum NRC-1, showing 54% of genes are regulated by multiple mechanisms and 7% show conditional regulation.

A single-cell based precision medicine approach using glioblastoma patient-specific models

The paper uses single-cell analysis of GBM patient samples and xenografts to identify regulatory networks driving treatment-induced tumor evolution and proposes a framework for precision medicine.

Genetic program activity delineates risk, relapse, and therapy responsiveness in Multiple Myeloma

The paper identifies 141 genetic programs in multiple myeloma that predict disease outcomes and reveal mechanisms of relapse and therapy response.

Quantitative prediction of conditional vulnerabilities in regulatory and metabolic networks of Mycobacterium tuberculosis

This paper introduces PRIME, a model predicting environment-specific vulnerabilities in Mtb's regulatory and metabolic networks, validated through genome-wide fitness screens.