Biology subjects

Bui, Q. T.

Publications and source records attributed to Bui, Q. T..

7 recordsLinked to original sources

bioRxiv2026

Mono-ADP-ribosylation-driven immunosuppression and cross-resistance to therapy through cancer cell intrinsic and extrinsic mechanisms

Mono-ADP-ribosylation (MARylation) is emerging as an important regulator of anti-cancer immunity and immunosuppressive tumor microenvironment (TME). Our previous studies showed that PARP11, one of several enzymes that facilitate MARylation, regulates the activities of intratumoral cytotoxic T lymphocytes (CTLs) and regulatory T cells (Tregs). Here, we demonstrate that stimuli such as adenosine, epinephrine, or glucagon-like peptide-1 (GLP1) induced PARP11 in cancer cells. Upregulation of PARP11 in cancer cells led to PARP11-mediated MARylation, ubiquitination, and accelerated degradation of MHC-I through the autophagy-lysosomal pathway. Induction of PARP11 protected cancer cells from killing by specific CTLs and stimulated tumor growth and progression. Genetic ablation of PARP11 attenuated MHC-I MARylation, ubiquitination, and interaction with autophagy receptors. Pharmacologic inhibition of PARP11 in pancreatic ductal adenocarcinoma (PDAC) cells restored their MHC-I levels, sensitized them to killing by CTLs, inhibited tumor growth, and impeded their initial resistance to chemotherapy and their acquired resistance to targeted therapy with RAS inhibitors. Moreover, inhibition of PARP11 prevented hyperprogressive disease in a mouse melanoma model treated with immune checkpoint inhibitors (ICBs), suggesting that PARP11 is a major therapeutically actionable driver of immunosuppression in tumors. SYNOPSISInduction of PARP11 in the tumor microenvironment mediates immunosuppression. This study reports that PARP11-driven MARylation and ubiquitination of MHC-I in cancer cells drives immune evasion, tumor growth and resistance to therapies.

cancer biology↗

bioRxiv2026

Insulin receptor substrate 2 (IRS2) confers resistance to PI3K pathway inhibition in PIK3CA mutant breast cancer

Activating mutations in PI3K are one of the most frequent mutations in breast cancer and are associated with worse patient outcomes in many breast cancer subtypes. Despite intense interest, cancer treatments that target the PI3K pathway have been only modestly effective due to intrinsic and acquired resistance mechanisms which reactivate PI3K signaling. Here, we characterize a feedback mechanism by which PI3K pathway inhibitors increase insulin receptor substrate 2 (IRS2) abundance and demonstrate the role of IRS2 in promoting resistance to these drugs. In PIK3CA mutant breast tumors and cell lines, there is a significant reduction in IRS2 mRNA and protein abundance which is reversed by PI3K pathway inhibition and mediated by the transcription factor FOXO3. PIK3CA mutations do not alter IRS1 expression. IRS2 confers resistance to PI3K pathway inhibition by sustaining PI3K signaling in PIK3CA mutant, but not wild-type breast cancer cells. Increased IRS2 abundance also correlates with PI3K pathway inhibitor resistance across PI3K mutant cancer cell lines from a variety of tissues. The clinical relevance of these findings is highlighted by the frequency of PI3K mutations in cancer and the identification of a new target to address the challenges associated with prior efforts to block the reactivation of PI3K signaling during PI3K inhibition.

cancer biology↗

bioRxiv2026

SPTBN2 promotes an immunosuppressive tumor microenvironment and cross-resistance to anti-cancer therapies

Immunosuppressive tumor microenvironment (TME) inactivates CD8+ cytotoxic lymphocytes (CTLs). Here, we identify SPTBN2 spectrin as a key immunosuppressive regulator induced in CTLs in response to nutritional deficit. In human pancreatic and colorectal cancers, SPTBN2 expression negatively correlated with CTL infiltration and patients survival. In TME of mouse pancreatic and colorectal adenocarcinomas, SPTBN2 inactivated intratumoral CTLs, stimulated tumor growth and conferred cross-resistance to anti-cancer therapies. SPTBN2 knockout protected CAR T-cells from trogocytosis and increased their memory state. SPTBN2 maintained levels of cell surface proteins such as BTLA that undermine CAR T-cell cytotoxicity and promote exhaustion. Re-expression of BTLA largely reversed phenotypes in SPTBN2-deficient CAR T-cells. In manufactured CAR T cells, SPTBN2 was associated with their clinical failure in pediatric patients with leukemia. Accordingly, ablation of SPTBN2 in CAR T-cells increased their cytotoxicity, in vivo persistence and therapeutic effects indicating that SPTBN2 can be targeted to increase the efficacy of anti-cancer therapies.

cancer biology↗

bioRxiv2025

Genomic footprints of domestication in almond (Prunus dulcis)

The domestication of perennial crops in the Mediterranean Basin remains unclear, particularly regarding the genomic consequences of human-mediated demographic shifts and selection. We analyzed 8.1 million single nucleotide polymorphisms from 96 cultivated almond (Prunus dulcis) accessions from Europe, North America, Central Asia, and New Zealand, alongside four wild relatives. Population structure analyses revealed four geographically differentiated cultivated groups (Central Asian, North American, and two European) and three wild populations (P. spinosissima, P. orientalis, and P. fenzliana). Cultivated almonds retained high genetic diversity, consistent with weak domestication bottlenecks typical of outcrossing perennials. Elevated diversity and private allele counts in Central Asian cultivars, with limited gene flow, support this region as an independent cradle of domestication. In contrast, extensive wild-to-crop gene flow--especially involving P. orientalis--has shaped the genomes of European and North American almonds. Genome-wide scans for selective sweeps showed most candidate genes under selection were population-specific, though often associated with similar biological functions, including stress responses and agronomic traits. This suggests repeated targeting of comparable pathways during domestication, despite distinct selection histories. Several selected genes in cultivated populations overlapped with those in wild relatives, particularly P. orientalis. Combined with demographic inferences indicating wild populations persistence through past climate fluctuations, these findings suggest wild gene pools retain adaptive alleles--either ancestrally shared or introgressed--that contributed to cultivated diversity. Altogether, our results reveal a complex, multi-regional domestication history for almonds, shaped by gene flow and recurrent selection. This study emphasizes wild relatives as adaptive diversity sources and reveals genomic bases of perennial crop evolution.

genomics↗

bioRxiv2025

Building pangenomes for domesticated and wild tree species: genomic complexity and strategies

Long-read sequencing and pangenomics are revolutionizing crop research by providing more complete genome information and revealing crucial structural variations linked to important agricultural traits. Building on recent advances in intraspecific pangenome construction, this study addresses the challenge of creating broader, cross-taxon pangenomes, using the Armeniaca taxonomic section as a model. Leveraging a diverse panel of genome assemblies, we constructed a pangenome graph and cataloged associated single nucleotide polymorphisms (SNPs) and structural variants. We characterized the diversity of these variants and assessed the extent to which different taxa contribute to overall pangenome expansion. Additionally, we evaluated the performance of low-depth sample mapping to the graph-based reference, highlighting key technical limitations that may affect the quality of downstream analyses. We further identified specific subsets of SVs that exhibit associations with particular classes of transposable elements. As a case study illustrating the potential functional and phenotypic relevance of graph-derived SVs, we examined the genomic configuration of the DAM locus within the Armeniaca pangenome.

bioinformatics↗

bioRxiv2025

Interaction of IRS2 with PLK1 protects cells from mitotic stress

In this study we identify a role for IRS2 in the protection of cells from mitotic stress through its interaction with PLK1. IRS2 is an adaptor protein for the insulin and IGF-1 receptors that mediates their signaling functions. In this capacity, IRS2 is tyrosine phosphorylated to recruit signaling effectors that control cellular outcomes. A role for IRS2 in mitotic regulation has been reported, but the mechanism of IRS2 action in this regulation has not been determined. Here we report that IRS2 interacts with PLK1 in a CDK1-dependent manner, and they co-localize at centrosomes in mitotic cells. In response to mitotic stress, cells that lack IRS2 or express a PLK1-binding deficient mutant exhibit reduced centrosome separation and a shortened mitotic arrest that leads to reduced tumor cell viability. In contrast, cells expressing an IRS2 mutant that is not tyrosine phosphorylated display normal mitotic function. Together, our findings establish a mechanistic connection between IRS2 and mitotic regulation that is distinct from its function as a signaling adaptor protein.

cell biology↗

bioRxiv2021

Pipeline to detect the relationship between transposable elements and adjacent genes in host genome

AO_SCPLOWBSTRACTC_SCPLOWUnderstanding the relationship between transposable elements (TEs) and their closest positional genes in the host genome is a key point to explore their potential role in genome evolution. Transposable elements can regulate and affect gene expression not only because of their mobility within the genome but also because of their transcriptional activity. A comprehensive knowledge of structural organization between transposable elements and neighboring genes is important to study TE functional role in gene regulation. We implemented a pipeline to display the relationship between the distribution of TEs and adjacent genes in host genomes. Our tool is freely available here: https://github.com/marieBvr/TEs_genes_relationship_pipeline.

bioinformatics↗