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Biology subjects

Cooper, T. T.

Publications and source records attributed to Cooper, T. T..

8 recordsLinked to original sources

Cell State Chaos Underpins the Evolution of SMARCA4-Deficient Dedifferentiated Endometrial Cancer

Dedifferentiated endometrial carcinoma (DDEC) is a histologically unique cancer type, wherein well-differentiated regions lie adjacent to morphologically distinct, high-grade lesions that are histologically undifferentiated. Previous studies have determined that in nearly half of the cases dedifferentiation is associated with the genomic inactivation of SMARCA4, a catalytic subunit belonging to the SWI/SNF chromatin remodelling complex (SWI/SNF CRC), suggesting that SMARCA4 loss causes dedifferentiation. Herein, using gene editing, we reveal that when serially passaged in mice, SMARCA4-deficient endometrial cancer cells repeatably and predictably generate heterogeneous admixtures of differentiated and undifferentiated cells, resembling human DDEC. Surprisingly, despite this metamorphosis, SMARCA4 loss does not induce lineage plasticity nor reprogramming to a less differentiated fate. Rather, single-cell sequencing combined with barcoding demonstrated that SMARCA4 loss induces a dysregulated epigenome that allows cells to randomly move through cellular states that are otherwise shared with SMARCA4-expressing well-differentiated cancer cells. This finding was validated using a cohort of patient samples, such that epithelial fate markers (E-CADHERIN) can be detected in morphologically undifferentiated cells. Collectively, this work constitutes the first repeatable model of human dedifferentiated cancer and suggests that histological dedifferentiation is not due to the acquisition of a stem cell-like fate. Rather, undifferentiated tissue emerges due to epigenomic dysfunction concomitant with the arbitrary movement of cancer cells between cellular states.

cancer biology↗

Isolation of Extracellular Vesicles from Minimal Volume Ascites Fluid Using Strong Anion Exchange Magnetic Beads

Ovarian cancer (OC) remains a leading cause of gynecologic cancer mortality due to late-stage diagnosis and limited early detection strategies. Ascites fluid, a pathological hallmark of OC, is a rich source of tumor-derived extracellular vesicles (EVs) that reflect the tumor microenvironment and hold promise for biomarker discovery. However, isolating EVs from minimal ascites volumes (<100 {micro}L) poses technical challenges using conventional methods like ultracentrifugation or size-exclusion chromatography (SEC). This study explores the application of strong anion exchange (SAX) magnetic beads (Mag-Net) for efficient EV isolation from as little as 2 {micro}L of ascites fluid from both murine models and a human patient with mucinous borderline tumor. We demonstrate that SAX achieves robust EV capture at 10{micro}l of input volume, enabling comprehensive proteomic profiling and single-EV surface-enhanced Raman spectroscopy (SERS) with a >2-fold increase in proteomic depth compared to raw ascites. Notably, this study was able to identify 1000 proteins not previously annotated in Vesiclepedia for OC-derived EVs, alongside distinct SERS signatures, highlighting the potential for multiomic analysis. Comparative analysis with UC revealed enhanced proteomic depth obtained with SAX beads, albeit we also observed differential detection of canonical markers (e.g., CD9, CD81) between input volumes of ascites fluid. These findings establish SAX as a scalable, low-input platform for EV-based biomarker discovery, paving the way for improved early detection and molecular insights into OC progression.

biochemistry↗

Proteomic Signatures of Podocyte Injury Are Reflected in Urinary Extracellular Vesicles in Pediatric Nephrotic Syndrome.

Idiopathic nephrotic syndrome (NS) is a common glomerulopathy in children and presents with significant proteinuria. There are no reliable clinical or biochemical markers of disease relapse, or prognosis. Extracellular vesicles (EVs) are small, membrane-bound biological effectors released from stressed cells. We previously showed increases in podocyte-specific urinary EVs from children with disease relapse in NS, with numbers returning to near-zero in remission. Herein, we have expanded this work to evaluate puromycin aminonucleoside (PAN) injury by characterizing proteomic signatures of podocytes and their EVs in vitro. In addition, we performed data-independent proteomic analysis (DIA) to characterize changes in signatures of EVs from pediatric patients with active NS versus remission. Our key findings reveal PAN-injured podocytes increase large EV (LEV) secretion in vitro; moreover, DIA uncovered changes in cellular and LEV proteomes that were also observed in urinary LEVs from patients with active disease. Urinary LEV proteomes from children with active NS were significantly different than those in remission, highlighted by 645 and 240 unique proteins associated with disease or remission, respectively. This foundational work provides the impetus for a larger, prospective biomarker study aimed at identifying EV-specific proteins associated with relapse versus remission.

cell biology↗

Syngeneic adipose-derived stromal cells modulate the immune response but have limited persistence within decellularized adipose tissue implants in C57BL/6 mice

The delivery of adipose-derived stromal cells (ASCs) on cell-instructive decellularized adipose tissue (DAT) scaffolds is a promising strategy for stimulating host-derived soft tissue regeneration. However, a better understanding of the mechanisms through which ASCs modulate regeneration in vivo is needed to harness these cells more effectively. In this study, DAT scaffolds, both with and without seeded syngeneic DsRED+ mouse ASCs, were implanted into immunocompetent C57BL/6 mice. Downstream analyses focused on assessing donor ASC persistence and phenotype, as well as the effects of ASC seeding on host macrophage polarization and the perfused host vascular network. Notably, most donor ASCs were cleared from the scaffolds by 2 weeks. Mass spectrometry-based proteomics indicated that the transplanted ASCs maintained their pre-implantation phenotype up to 1 week in vivo, suggesting that the cells were not undergoing programmed cell death. A higher fraction of the infiltrating host macrophages expressed CD68 and Arginase-1 in the ASC-seeded implants up to 1-week post-implantation. Interestingly, a small population of phagocytic macrophages, identified by uptake of DsRED protein, was present in the DAT implants in the first 2 weeks and showed enhanced expression of CD68, Arginase-1, and CD163, along with reduced expression of iNOS. MicroCT angiography revealed a similar perfused vessel network in the seeded and unseeded groups at 4- and 8-weeks post-implantation. Overall, seeding with syngeneic ASCs modulated the host macrophage response to the DAT bioscaffolds at early timepoints, but did not impact long-term regenerative outcomes, potentially due to the rapid clearance of the donor cell population in this model.

cell biology↗

Mining the Proteome of Human Ovarian Cancer Extracellular Vesicles Using Thermolysin Proteolysis

This study investigates the utility of Thermolysin as a proteolytic enzyme to enhance the depth and coverage of proteomic analysis in ovarian cancer (OC) extracellular vesicles (EVs). EVs were isolated from OC cell lines and ascites fluid samples from women diagnosed with high-grade serous carcinoma. Proteins were digested using Thermolysin and Trypsin/LysC, followed by label-free data-dependent acquisition (DDA) and data-independent acquisition (DIA) mass spectrometry. The proteolytic efficiency, sequence coverage, peptide complexity, and proteomic depth were compared between Thermolysin and Trypsin/LysC digests. In silico analyses predicted theoretical benchmarks of these parameters using a core set of 22 proteins, and Gene set enrichment analyses (GSEA) highlighted the biological relevance of proteins identified throughout the study. Thermolysin digestion significantly increased the complexity or of peptide pools compared to Trypsin/LysC leading to limited peptide and protein identification, albeit total sequence coverage was increased through complementation to tryptic peptides. In both cell line and ascites EVs, Thermolysin identified unique proteins not detected by Trypsin/LysC that are known drivers of metastatic solid cancers, such as Ly6E. Offline strong cation exchange (SCX) fractionation improved proteomic depth and sequence coverage obtained with Thermolysin to generate a spectral library for DIA. Our DIA analysis of Thermolysin digests revealed the presence of NODAL in OC ascites EVs, a protein associated with poor clinical prognosis, which was not detected in Trypsin/LysC digests. The importance of NODAL was cross-validated in TGCA-OV and AOCS datasets by clinical cohorts by assessing RNA levels in solid tumors or ascites fluid, respectively. Collectively, we demonstrate that Thermolysin complements traditional enzymes like Trypsin/LysC to provide a more comprehensive proteomic landscape for biomarker discovery.

cancer biology↗

Targeted Proteomics and Support Vector Classification Reveal Potential Biomarkers for the Early Detection of High-grade Serous Ovarian Cancer

PurposeThe five-year prognosis for patients with late-stage high-grade serous carcinoma (HGSC) remains dismal, underscoring the critical need for identifying early-stage biomarkers. This study explores the potential of extracellular vesicles (EVs) circulating in blood, which are believed to harbor proteomic cargo reflective of the HGSC microenvironment, as a source for biomarker discovery. Experimental DesignWe conducted a comprehensive proteomic profiling of EVs isolated from blood plasma, ascites, and cell lines of patients, employing both data-dependent (DDA) and data-independent acquisition (DIA) methods to construct a spectral library tailored for targeted proteomics. Our investigation aimed at uncovering novel biomarkers for the early detection of HGSC by comparing the proteomic signatures of EVs from women with HGSC to those with benign gynecological conditions. The initial cohort, comprising 9-10 donors, utilized DDA proteomics for spectral library development. The subsequent cohort, involving 30 HGSC patients and 30 control subjects, employed DIA proteomics for a similar purpose. Support vector machine (SVM) classification was applied in both cohorts to identify combinatorial biomarkers with high specificity and sensitivity (ROC-AUC > 0.90). ResultsNotably, MUC1 emerged as a significant biomarker in both cohorts when used in combination with additional biomarkers. Validation through an ELISA assay on a subset of benign (n=18), Stage I (n=9), and stage II (n=9) plasma samples corroborated the diagnostic utility of MUC1 in the early-stage detection of HGSC. ConclusionsThis study highlights the value of EV-based proteomic analysis in the discovery of combinatorial biomarkers for early ovarian cancer detection.

cancer biology↗

Lactate Accelerates Mouse ES Cell Differentiation Towards the XEN Lineage

Metabolism plays a crucial role for cell survival and function; however, recent evidence has implicated it in regulating embryonic development. The inner cell mass undergoes orchestrated cellular divisions resulting in the formation of embryonic stem cells and extraembryonic endoderm (XEN) cells. Concomitantly, changes in the metabolic profile occurs during development and are well-documented in the embryonic lineages. However, a comprehensive multi-omics analysis of these features in XEN cells remains lacking. We observed that feeder-free XEN cells exhibited high sensitivity to glycolytic inhibition in addition to maintaining elevated intra- and extracellular lactate levels. XEN cells maintain high lactate levels by increased LDHA activity and re-routing pyruvate away from the mitochondria. Importantly, exogenous lactate supplementation or promoting intracellular lactate accumulation enhances XEN differentiation in vitro. Our results highlight how lactate contributes to XEN differentiation in the mammalian embryo and may serve to enhance reprogramming efficiency of cells used for regenerative medicine. HighlightsO_LIFeeder-free XEN cells exhibit high sensitivity to glycolytic inhibition C_LIO_LIDistinct transcriptomic, proteomic and metabolomic profile exists between feeder-free ES and XEN cells C_LIO_LIElevated intracellular and extracellular lactate is observed in feeder-free XEN cells C_LIO_LILactate enhances feeder-free XEN differentiation in vitro C_LI

developmental biology↗

Ultrafiltration Segregates Tissue Regenerative Stimuli Harboured Within and Independent of Extracellular Vesicles

The release of extracellular vesicles (EVs) from human multipotent stromal cells (MSC) has been proposed as a mechanism by which MSC mediate regenerative functions in vivo. Our recent work has characterized MSC derived from human pancreatic tissues (Panc-MSC) that generated a tissue regenerative secretome. Despite these advancements, it remains unknown whether regenerative stimuli are released independent or within extracellular vesicles. Herein, this study demonstrates ultrafiltration is a simple method to enrich for EVs which can be injected in murine models of tissue regeneration. The enrichment of EVs from Panc-MSC conditioned media (CM) was validated using nanoscale flow cytometry and atomic force microscopy; in addition to the exclusive detection of classical EV-markers CD9, CD81, CD63 using label-free mass spectrometry. Additionally, we identified several pro-regenerative stimuli, such as WNT5A or ANGPT1, exclusive to EV-enriched CM. Endothelial cell tubule formation was enhanced in response to both Panc-MSC CM fractions in vitro yet only intramuscular injection of EV-enriched CM demonstrated vascular regenerative functions in NOD/SCID mice with unilateral hind-limb ischemia (*<p<0.05). Furthermore, both EV-depleted and EV-enriched CM reduced hyperglycemia following intrapancreatic injection in hyperglycemic mice (**p<0.01). Collectively, understanding the functional synergy between compartments of the secretome is required to advance cell-free biotherapeutics into applications of regenerative medicine.

cell biology↗