Publications by authors named "Tony S Mondala"

Elucidating how cell populations promote onset and progression of intervertebral disc degeneration (IDD) has the potential to enable more precise therapeutic targeting of cells and mechanisms. Single-cell RNA-sequencing (scRNA-seq) is performed on surgically separated annulus fibrosus (AF) (19,978; 26,983 cells) and nucleus pulposus (NP) (20,884; 24,489 cells) from healthy and diseased human intervertebral discs (IVD). In both tissue types, depletion of cell subsets involved in maintenance of healthy IVD is observed, specifically the immature cell subsets - fibroblast progenitors and stem cells - indicative of an impairment of normal tissue self-renewal.

View Article and Find Full Text PDF

Objectives: Single-cell level analysis of articular cartilage and meniscus tissues from human healthy and osteoarthritis (OA) knees.

Methods: Single-cell RNA sequencing (scRNA-seq) analyses were performed on articular cartilage and meniscus tissues from healthy (n=6, n=7) and OA (n=6, n=6) knees. Expression of genes of interest was validated using immunohistochemistry and RNA-seq and function was analysed by gene overexpression and depletion.

View Article and Find Full Text PDF

Cancer cells often display altered cell-surface glycans compared to their nontransformed counterparts. However, functional contributions of glycans to cancer initiation and progression remain poorly understood. Here, from expression-based analyses across cancer lineages, we found that melanomas exhibit significant transcriptional changes in glycosylation-related genes.

View Article and Find Full Text PDF
Article Synopsis
  • MicroRNAs (miRNAs) modulate the expression of many target genes, but it's unclear how these small changes result in specific functions.
  • An analysis of B cells from mutant mice showed that only a small fraction of target genes are suppressed by certain miRNA levels, indicating differential sensitivity among them.
  • The study reveals that miRNAs like miR-17~92 primarily regulate gene expression through translational repression, with the 5'UTR being crucial for how sensitive genes are to miRNA effects.
View Article and Find Full Text PDF
Article Synopsis
  • - The study investigates the biological basis of Fibromyalgia (FM) by analyzing gene expression in 70 FM patients compared to 70 healthy controls, aiming to create a diagnostic gene expression signature.
  • - Results revealed that FM patients showed altered expression in 421 genes linked to pain processing and inflammation, with a diagnostic model achieving high sensitivity (95%) and specificity (96%) for FM.
  • - The findings suggest new insights into FM's causes and propose further exploration to validate a blood-based molecular signature for diagnosing FM in larger patient groups.
View Article and Find Full Text PDF

In this chapter, we describe numerous methods to extract RNA, DNA, and protein from tissue, represented by kidney transplant biopsies, and from peripheral blood cells collected at various clinical sites. Gene expression profiling and SNP-based genome-wide association studies are done using various microarray platforms. In addition, protocols that enable simultaneous protein purification from these clinical samples, enable additional strategies for understanding of the molecular processes involved in organ transplantation, immunosuppressive drug regimens, and the elements determining allograft success and failure.

View Article and Find Full Text PDF

The most common cause of kidney transplant failure is the poorly characterized histopathologic entity interstitial fibrosis and tubular atrophy (IFTA). There are no known unifying mechanisms, no effective therapy, and no proven preventive strategies. Possible mechanisms include chronic immune rejection, inflammation, drug toxicity, and chronic kidney injury from secondary factors.

View Article and Find Full Text PDF

Background: Whole genome gene expression profiling has revolutionized research in the past decade especially with the advent of microarrays. Recently, there have been significant improvements in whole blood RNA isolation techniques which, through stabilization of RNA at the time of sample collection, avoid bias and artifacts introduced during sample handling. Despite these improvements, current human whole blood RNA stabilization/isolation kits are limited by the requirement of a venous blood sample of at least 2.

View Article and Find Full Text PDF

RNA integrity is a critical factor in obtaining meaningful gene expression data. Current methodologies rely on maintaining samples in cold environments during collection, transport, processing, and storage procedures, which are also extremely time-sensitive. Several RNA storage products are commercially available to help prevent degradation during the handling and storage steps; however, samples must be kept cold for optimal protection.

View Article and Find Full Text PDF
Article Synopsis
  • Chronic Allograft Nephropathy (CAN) continues to pose a significant challenge for kidney transplant patients, highlighting the need for non-invasive biomarkers to predict graft loss and manage immunosuppression.
  • The study utilized advanced techniques like DNA microarrays and proteomics to identify thousands of genomic and proteomic markers for different stages of CAN in blood samples from kidney transplant patients.
  • Findings revealed unique gene and protein profiles for mild and moderate/severe CAN, with high predictive accuracies that pave the way for future clinical validation and potential proteogenomic classification.
View Article and Find Full Text PDF

Activity-based protein profiling (ABPP) is a chemical method that utilizes active-site-directed probes to determine the functional state of enzymes in complex proteomes. Probe-labeled enzymes are typically detected by in-gel fluorescence scanning, a robust technique that nonetheless exhibits some key deficiencies, including limited sensitivity and resolution, as well as ambiguity regarding the molecular identity of the enzymes under investigation. Here, we report a microarray platform for ABPP that addresses these limitations.

View Article and Find Full Text PDF

von Willebrand disease (VWD) type 1 is difficult to diagnose because of bleeding variability and low heritability of von Willebrand factor (VWF) levels. We compared a bleeding severity score and bleeding times to candidate gene haplotypes within pedigrees of 14 index cases, using a covariance components model for multivariate traits (Mendel: QTL Association). These pedigrees included 13 affected and 40 unaffected relatives, as defined by plasma ristocetin cofactor (VWF:RCo) levels.

View Article and Find Full Text PDF