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Galindo-Albarran, A.

Publications and source records attributed to Galindo-Albarran, A..

3 recordsLinked to original sources

In vivo CRISPR-based screen identifies ZC3H12C as a mediator of CAR-T cell dysfunction in solid tumors

CAR-T cell therapy has shown limited efficacy in solid tumors, largely due to T cell dysfunction driven by chronic antigen exposure. To uncover mediators of this dysfunction, we developed an in vivo screening platform using an ovarian xenograft tumor model in which CD28-based CAR-T cells undergo exhaustion leading to tumor escape. Transcriptomic profiling of tumor-infiltrating CAR-T cells at different stages revealed dynamic upregulation of exhaustion-associated genes. We used this data to design a focused CRISPR/Cas9 library and performed an in vivo screen. We identified 14 significantly enriched candidate genes, among which ZC3H12C emerged as the top hit. Single-cell RNA and ATAC-seq confirmed ZC3H12C expression in CAR-T cells undergoing early exhaustion in vivo. ZC3H12C disruption enhanced CAR-T cell persistence and antitumor efficacy while reducing exhaustion, across both CD28- and 4-1BB-based CARs targeting distinct antigens. These results highlight ZC3H12C as a promising target to improve CAR-T therapy in solid tumors.

immunology↗

Enhancing spatial omics resolution by pseudo-interstitial pixels inference

MotivationSpatially resolved omics technologies are enhancing our understanding of tissues architecture. Despite major technological improvements, gaining in spatial resolution becomes experimentally expensive, while generating spatial landscapes at moderate resolution combined with computational methods for depixelating data represent a cost-effective strategy allowing to enlarge the number of experiments to be performed. ResultsWe have developed a computational strategy able to gain several-folds of resolution by inferring pseudo-interstitial pixels from their closest neighbors. This strategy has been validated in the context of public spatial transcriptomics data issued from melanoma, and human brain cortex tissue sections, by improving the identification of distinct tissue substructures. Furthermore, this methodology has been used for enhancing the resolution of consecutive sections collected from human brain organoids, as a way to demonstrate that a moderate resolution technology, combined with spatial depixelation processing allows to properly discern molecular tissue structures even in small tissues. Contactmmendoza@genoscope.cns.fr

bioinformatics↗

Decoding transcriptional identity during Neuron-Astroglia Cell Fate driven by RAR-specific agonists

How cells respond to different signals leading to defined lineages is an open question to understand physiological differentiation leading to the formation of organs and tissues. Among the various morphogens, retinoic acid signaling, via the RXR/RAR nuclear receptors activation, is a key morphogen of nervous system development and brain homeostasis. Here we analyze gene expression in [~]80,000 cells covering 16 days of monolayer mouse stem cell differentiation driven by the pan-RAR agonist all-trans retinoic acid, the RAR agonist BMS753 or the activation of both RAR{beta} and RAR{gamma} receptors (BMS641+BMS961). Furthermore, we have elucidated the role of these retinoids for driving nervous tissue formation within 90 days of brain organoid cultures, by analyzing > 8,000 distinct spatial regions over 28 brain organoids. Despite a delayed progression in BMS641+BMS961, RAR-specific agonists led to a variety of neuronal subtypes, astrocytes and oligodendrocyte precursors. Spatially-resolved transcriptomics performed in organoids revealed spatially distinct RAR isotype expression leading to specialization signatures associated to matured tissues, including a variety of neuronal subtypes, retina-like tissue structure signatures and even the presence of microglia.

systems biology↗