Publications by authors named "V P Garcia"

Diabetes mellitus and periodontitis share a significant, bidirectional relationship. Diabetes raises the risk of periodontitis and influences its severity, impacting tissue repair and bone metabolism. Conversely, periodontal inflammation can disrupt glycemic control, further complicating this interlinked relationship.

View Article and Find Full Text PDF

Sugar limitation has dramatic consequences on plant cells, which include cell metabolism and transcriptional reprogramming, and the recycling of cellular components to maintain fundamental cell functions. There is however no description of the contribution of epigenetic regulations to the adaptation of plant cells to limited carbon availability. We investigated this question using nonphotosynthetic grapevine cells (, cv Cabernet Sauvignon) cultured with contrasted glucose concentrations.

View Article and Find Full Text PDF

Glycosylated RNAs (glycoRNAs) have recently emerged as a new class of molecules of substantial interest owing to their potential roles in cellular processes and diseases. However, studying glycoRNAs is challenging owing to the lack of effective research tools including, but not limited to, imaging techniques to study the spatial distribution of glycoRNAs. Recently, we reported the development of a glycoRNA imaging technique, called sialic acid aptamer and RNA in situ hybridization-mediated proximity ligation assay (ARPLA), to visualize sialic acid-containing glycoRNAs with high sensitivity and specificity.

View Article and Find Full Text PDF

Understanding the process of genetic adaptation in response to human-mediated ecological change will help elucidate the eco-evolutionary impacts of human activity. In the 1930s red imported fire ants (Solenopsis invicta) were accidently introduced to the Southeastern USA, where today they are both venomous predators and toxic prey to native eastern fence lizards (Sceloporus undulatus). Here, we investigate potential lizard adaptation to invasive fire ants by generating whole-genome sequences from 420 lizards across three populations: one with long exposure to fire ants, and two unexposed populations.

View Article and Find Full Text PDF

Objective: With the increasing energy surrounding the development of artificial intelligence and machine learning (AI/ML) models, the use of the same external validation dataset by various developers allows for a direct comparison of model performance. Through our High Throughput Truthing project, we are creating a validation dataset for AI/ML models trained in the assessment of stromal tumor-infiltrating lymphocytes (sTILs) in triple negative breast cancer (TNBC).

Materials And Methods: We obtained clinical metadata for hematoxylin and eosin-stained glass slides and corresponding scanned whole slide images (WSIs) of TNBC core biopsies from two US academic medical centers.

View Article and Find Full Text PDF