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Biology subjects

Valdes Mora, F.

Publications and source records attributed to Valdes Mora, F..

2 recordsLinked to original sources

PI3K/mTOR is a therapeutically targetable genetic dependency in diffuse intrinsic pontine glioma

Diffuse midline glioma (DMG), including tumors diagnosed in the brainstem (diffuse intrinsic pontine glioma - DIPG), are uniformly fatal brain tumors that lack effective pharmacological treatment. Analysis of pooled CRISPR-Cas9 loss-of-function gene deletion screen datasets, identified PIK3CA and MTOR as targetable molecular dependencies across DIPG patient derived models, highlighting the therapeutic potential of the blood-brain barrier penetrant PI3K/Akt/mTOR inhibitor paxalisib. At the human equivalent maximum tolerated dose, mice treated with paxalisib experienced systemic feedback resulting in increased blood glucose and insulin levels, commensurate with DIPG patients in Phase 1b clinical trials who experienced hyperglycemia/hyperinsulinemia. To exploit genetic dependences, but maintain compliance and benefit, we optimized a paxalisib treatment regimen that employed reduced dosing more frequently, in combination with the anti-hyperglycemic drug, metformin. Combining optimized dosing with metformin restored glucose homeostasis and decreased phosphorylation of the insulin receptor in vivo, a common mechanism of PI3K-inhibitor resistance, extending the survival of DIPG xenograft models. RNA sequencing and phosphoproteomic profiling of DIPG models treated with paxalisib identified increased calcium-activated PKC signaling. Using the brain penetrant PKC inhibitor, enzastaurin in combination with paxalisib, we synergistically extended the survival of orthotopic xenograft models, benefits further promoted by metformin; thus, identifying a clinically relevant DIPG combinatorial approach. Brief SummaryDiffuse intrinsic pontine glioma is a lethal childhood brain tumor. Here we identify PIK3CA as a genetic dependency targeted by the brain penetrant pan-PI3K-inhibitor paxalisib.

cancer biology↗

Systematic comparison of high throughput Single-Cell RNA-Seq platforms in complex tissues

Single-cell transcriptomics has emerged as the preferred tool to define cell identity through the analysis of gene expression signatures. However, there are limited studies that have comprehensively compared the performance of different scRNAseq systems in complex tissues. Here, we present a systematic comparison of two well-established high throughput 3-scRNAseq platforms: 10x Chromium and BD Rhapsody, using tumours that present high cell diversity. Our experimental design includes both fresh and artificially damaged samples from the same tumours, which also provides a comparable dataset to examine their performance under challenging conditions. The performance metrics used in this study consist of gene sensitivity, mitochondrial content, reproducibility, clustering capabilities, cell type representation and ambient RNA contamination. These analyses showed that BD Rhapsody and 10x Chromium have similar gene sensitivity, while BD Rhapsody has the highest mitochondrial content. Interestingly, we found cell type detection biases between platforms, including a lower proportion of endothelial and myofibroblast cells in BD Rhapsody and lower gene sensitivity in granulocytes for 10x Chromium. Moreover, the source of the ambient noise was different between plate-based and droplet-based platforms. In conclusion, our reported platform differential performance should be considered for the selection of the scRNAseq method during the study experimental designs.

genomics↗