Maria Secrier

This study shows BDNF enhances axonal regeneration in human motor neurons by regulating RNA metabolism and cytoskeletal dynamics through kinase pathways.

The paper maps oxidative stress response in TNBC using single-cell and spatial data, identifying GCLC+ mesenchymal tumor cells linked to better patient outcomes.

The paper introduces a framework combining graph neural networks and geostatistics to predict and explain cell state variation in spatial transcriptomics data, showing mesenchymal states are stabilized by genetic and environmental factors while hybrid states remain plastic.

EnrichMap improves spatial coherence in gene set enrichment analysis for spatial transcriptomics by integrating batch correction, smoothing, and spatial confounder adjustment.

The paper quantifies G0 arrest and proliferation in breast cancer using single-cell and spatial data, identifying a prolonged G0 state and its spatial organization within an immunosuppressive niche.

The paper investigates how CDKN2A and other 9p21 gene losses influence oesophageal cancer progression, finding context-dependent effects on survival and immune infiltration.

This study shows that p21Cip1/Waf1 promotes survival and relapse in TP53 wild-type NSCLC by enabling quiescence and protecting cells from chemotherapy.

This study evaluates single-cell foundation models for modeling cellular plasticity, finding they can improve state resolution but are limited by domain shifts and complexity.

The paper shows that loss of TDP-43 function leads to the expression of de novo proteins from mis-spliced mRNA transcripts in ALS/FTD.

The paper identifies novel cryptic polyadenylation events induced by TDP-43 loss in ALS/FTD using bioinformatic methods and shows their potential disease relevance and impact on protein translation.

SpottedPy identifies spatial transcriptomic hotspots and reveals environmental cues linked to epithelial-mesenchymal plasticity in breast cancer.

The paper develops methods to classify homologous recombination deficiency in breast cancer using mutational and transcriptional signatures, showing heterogeneity and single-cell microenvironment interactions.

The paper identifies differences in driver gene selection and mutational landscapes between immune-escaped and non-escaped tumors using TCGA data.

The paper compares TDP-43's transcriptional and splicing effects in muscle and neuronal cells, showing tissue-specific roles in disease.

NMJ-Analyser quantifies neuromuscular junction morphology and innervation status in mouse models, identifying structural changes in ALS and peripheral neuropathy with high accuracy.

The paper shows that ALS/FTD risk variants in UNC13A increase sensitivity to TDP-43 depletion by promoting cryptic exon inclusion and protein loss.

This study identifies genomic features associated with response to neoadjuvant chemotherapy in esophageal adenocarcinoma, finding lower mutation burden and specific copy number alterations linked to resistance.

The paper uses whole genome sequencing and phylogenetic analysis to show that metastases in esophageal adenocarcinoma spread rapidly through a clonal diaspora model.

The paper introduces conliga, a method for inferring high-resolution SCNA profiles from a low-cost and simple assay, addressing the need for affordable SCNA analysis in clinical settings.