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Biology subjects

Bartolome, R.

Publications and source records attributed to Bartolome, R..

2 recordsLinked to original sources

Modeling the acutely injured brain environment in vitro.

A major challenge to study the regenerative potential of the injured brain is the limited access to this organ in vivo. To address this, we developed an innovative gliosis model that, although established in vitro, originates from a genuine injury in vivo. The model relies on reactive glia acquiring enhanced adhesion, facilitating their rapid adaptation to in vitro conditions, where it faithfully recapitulates key features of brain injury. These include a secretome associated with injury pathways, degenerative responses like neuronal death and neuroinflammation, and regenerative processes such as progenitor proliferation, recruitment and commitment to oligodendrocytes. Moreover, the exposure of adult glial cells to this culture medium recapitulates their acquisition of multipotency observed in both mouse and human injured brains. Finally, our approach allows studying glia-to-neuron reprogramming, a process challenging to tackle in vivo. Consequently, we present a novel tool for exploring stem cell dynamics and regenerative behaviors in CNS pathology.

neuroscience↗

Genome-wide prediction of synthetic rescue mediators of resistance to targeted and immunotherapy

Most patients with advanced cancer eventually acquire resistance to targeted therapies, spurring extensive efforts to identify molecular events mediating therapy resistance. Many of these events involve synthetic rescue (SR) interactions, where the reduction in cancer cell viability caused by targeted gene inactivation is rescued by an adaptive alteration of another gene (the rescuer). Here we perform a genome-wide prediction of SR rescuer genes by analyzing tumor transcriptomics and survival data of 10,000 TCGA cancer patients. Predicted SR interactions are validated in new experimental screens. We show that SR interactions can successfully predict cancer patients response and emerging resistance. Inhibiting predicted rescuer genes sensitizes resistant cancer cells to therapies synergistically, providing initial leads for developing combinatorial approaches to overcome resistance proactively. Finally, we show that the SR analysis of melanoma patients successfully identifies known mediators of resistance to immunotherapy and predicts novel rescuers.

cancer biology↗