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Workflow, proteins identified, gene ontology, tumour purity, Pearson correlation, staining controls and tissue microarray scoring, Q Exactive Plus results, and HGSC molecular subtype comparison

Purpose:Ovarian carcinomas are a group of distinct diseases classified by histotypes. As histotype-specific treatment evolves, accurate classification will become critical for optimal precision medicine approaches.Experimental Design:To uncover differences between the two most common histotypes, high-grade serous (HGSC) and endometrioid carcinoma, we performed label-free quantitative proteomics on freshly frozen tumor tissues (HGSC, n = 10; endometrioid carcinoma, n = 10). Eight candidate protein biomarkers specific to endometrioid carcinoma were validated by IHC using tissue microarrays representing 361 cases of either endometrioid carcinoma or HGSC.Results:More than 500 proteins were differentially expressed (P < 0.05) between endometrioid carcinoma and HGSC tumor proteomes. A ranked set of 106 proteins was sufficient to correctly discriminate 90% of samples. IHC validated KIAA1324 as the most discriminatory novel biomarker for endometrioid carcinoma. An 8-marker panel was found to exhibit superior performance for discriminating endometrioid carcinoma from HGSC compared with the current standard of WT1 plus TP53 alone, improving the classification rate for HGSC from 90.7% to 99.2%. Endometrioid carcinoma–specific diagnostic markers such as PLCB1, KIAA1324, and SCGB2A1 were also significantly associated with favorable prognosis within endometrioid carcinoma suggesting biological heterogeneity within this histotype. Pathway analysis of proteomic data revealed differences between endometrioid carcinoma and HGSC pertaining to estrogen and interferon signalling.Conclusions:In summary, these findings support the use of multi-marker panels for the differential diagnosis of difficult cases resembling endometrioid carcinoma and HGSC.

Patient characteristics, instrument settings, protein identifications, staining information, and pathway analysis.

Metabolism plays a crucial role for cell survival and function; however, recent evidence has implicated it in regulating embryonic development. In the embryo, the inner cell mass undergoes orchestrated cellular divisions resulting in the formation of pluripotent epiblast stem cells and primitive endoderm cells. However, both lineages can be captured in vitro as embryonic stem (ES) 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-omic analysis of these features in XEN cells remains lacking. We observed that mouse XEN cells exhibited high sensitivity to glycolytic inhibition in addition to maintaining elevated intra- and extracellular lactate levels in vitro. Extraembryonic endoderm cells maintain high lactate levels by increased LDHA activity, and re-routing pyruvate away from the mitochondria resulting in reduced mitochondrial activity due to disruptions in electron transport chain stoichiometry. Importantly, exogenous lactate supplementation or promoting intracellular lactate accumulation enhances XEN differentiation in vitro. These results highlight how lactate contributes to XEN differentiation in vitro and may serve to enhance reprogramming efficiency of cells used for regenerative medicine.

The CTLH complex is a multi-subunit ubiquitin ligase complex that recognizes substrates with Pro/N-degrons via the substrate receptor GID4. Recently, focus has turned to this complex as a potential mediator of targeted protein degradation, but the role GID4-mediated substrate ubiquitylation and proteasomal degradation plays in humans has thus far remained unclear. Here, we report PFI-7, a potent, selective, and cell-active chemical probe that antagonizes Pro/N-degron binding to human GID4. Use of PFI-7 in proximity-dependent biotinylation enabled the identification of dozens of endogenous GID4-interacting proteins that bind via the GID4 substrate binding pocket, only a subset of which possess canonical Pro/N-degron sequences. GID4 interactors are enriched for nuclear and nucleolar proteins including RNA helicases. GID4 antagonism by PFI-7 altered protein levels of several proteins including RNA helicases as measured by label-free quantitative proteomics, defining proteins that are regulated by GID4 and the CTLH complex in humans. Interactions with GID4 via Pro/N-degron pathway did not result in proteasomal degradation, demonstrating that CTLH interactors are regulated through a combination of degradative and non-degradative functions. The lack of degradation of GID4 interactors highlights potential challenges in utilizing GID4-recruiting bifunctional molecules for targeted protein degradation. Going forward, PFI-7 will be a valuable research tool for defining CTLH complex biology and honing targeted protein degradation strategies.

The Ku70/80 heterodimer is a key player in non-homologous end-joining DNA repair but has also been involved in other cellular functions like telomere regulation and maintenance, in which Ku’s role is not fully characterized. It was previously reported that knockout of Ku80 in a human cell line results in lethality, but the underlying cause of Ku essentiality in human cells has yet to be fully explored. Here, we established conditional Ku70 knockout cells to study the essentiality of Ku70 function. Endogenous Ku70 knockout was achieved using CRISPR/Cas9 editing in cells where Ku70 expression was maintained through integration of an HA-tagged Ku70 cDNA under the control of a doxycycline-inducible promoter. Ku70 conditional knockout cell lines were identified via western blotting, and edits were validated by Sanger sequencing. We visually observed cell death in Ku70 knockout cells 8-10 days post Ku70-HA depletion, and loss of viability following Ku depletion was quantified using crystal violet assays. Interestingly, assessment of telomere length in Ku70 knockout cells using telomere restriction fragment analyses did not reveal any changes in average telomere length following Ku70-HA depletion. Immunofluorescence analysis used to assess γH2AX foci accumulation as a measure of double-stranded DNA breaks following Ku70-HA depletion allowed us to conclude that increased DNA damage is not the driving cause of loss of cell viability. Finally, quantitative proteome analysis of Ku70 knockout cells following Ku70-HA depletion identified a number of pathways and proteins that are significantly dysregulated following the loss of Ku70, including processes which Ku function has been previously associated with such as cell cycle/mitosis, RNA related processes, and translation/ribosome biogenesis. Overall, this conditional Ku70 knockout system reveals that loss of Ku affects multiple cellular processes and pathways and suggests that Ku plays critical roles in other cellular processes beyond DNA repair and telomere maintenance to maintain cell viability.Author SummaryThe Ku70/80 heterodimer is a key player in non-homologous end-joining DNA repair, where it acts as a scaffold for other repair factors needed to process double-stranded DNA breaks. Ku has also been involved in other cellular functions like telomere regulation and maintenance, in which Ku’s role is not fully characterized. Previous data suggest that while loss of Ku70/80 can be tolerated in other species, Ku is essential to humans. We have established a conditional Ku70 knockout in HEK293 cells to evaluate the basis of Ku essentiality in human cells. While we observed loss of cell viability upon Ku depletion, we did not observe significant changes in telomere length nor did we record lethal levels of DNA damage upon loss of Ku, suggesting that the reasons for the loss of viability is not linked to the functions of Ku in DNA repair or at telomeres. Analysis of global proteome changes following Ku70 depletion revealed dysregulations of several cellular pathways including cell cycle/mitosis, RNA related processes, and translation/ribosome biogenesis. Our study reveals that loss of Ku affects multiple cellular processes and pathways and suggests that Ku plays critical roles in cellular processes beyond DNA repair and telomere maintenance to maintain cell viability.

Recognizing the cell-instructive capacity of the extracellular matrix (ECM), this study investigated the effects of expanding human adipose-derived stromal cells (hASCs) on ECM-derived microcarriers fabricated from decellularized adipose tissue (DAT) or decellularized cartilage tissue (DCT) within spinner flask bioreactors. Protocols were established for decellularizing porcine auricular cartilage and electrospraying methods were used to generate microcarriers comprised exclusively of DAT or DCT, which were compositionally distinct, but had matching Young's moduli. Both microcarrier types supported hASC attachment and growth over 14 days within a low-shear spinner culture system, with a significantly higher cell density observed on the DCT microcarriers at 7 and 14 days. Irrespective of the ECM source, dynamic culture on the microcarriers altered the expression of genes and proteins associated with cell adhesion and ECM remodeling. Label-free mass spectrometry analysis showed upregulation of proteins associated with cartilage development and ECM in the hASCs expanded on the DCT microcarriers. Based on Luminex analysis, the hASCs expanded on the DCT microcarriers secreted significantly higher levels of IL-8 and PDGFAA, supporting that the ECM source can modulate hASC paracrine factor secretion. Finally, the hASCs expanded on the microcarriers were extracted for analysis of adipogenic and chondrogenic differentiation relative to baseline controls. The microcarrier-cultured hASCs showed enhanced intracellular lipid accumulation at 7 days post-induction of adipogenic differentiation. In the chondrogenic studies, a low level of differentiation was observed in all groups. Future studies are warranted using alternative cell sources with greater chondrogenic potential to further assess the chondro-inductive properties of the DCT microcarriers.

1.AbstractWnt and Hh are known signalling pathways involved in neural differentiation and recent work has shown the cell cycle regulator, Never in Mitosis Kinase 2 (Nek2) is able to regulate both pathways. Despite its known function in pathway regulation, few studies have explored Nek2 within embryonic development. The P19 embryonal carcinoma cell model was used to investigate Nek2 and neural differentiation through CRISPR knockout and overexpression studies. Loss of Nek2 reduced cell proliferation in the undifferentiated state and during directed differentiation, while overexpression increased cell proliferation. Despite these changes in proliferation rates, Nek2 deficient cells maintained pluripotency markers after neural induction while Nek2 overexpressing cells lost these markers in the undifferentiated state. Nek2 deficient cells lost the ability to differentiate into both neurons and astrocytes, although Nek2 overexpressing cells enhanced neuron differentiation at the expense of astrocytes. Hh and Wnt signaling were explored, however there was no clear connection between Nek2 and these pathways causing the observed changes to differentiation phenotypes. Mass spectrometry was also used during wildtype and Nek2 knockout cell differentiation and we identified reduced electron transport chain components in the knockout population. Immunoblotting confirmed the loss of these components and additional studies showed cells lacking Nek2 were exclusively glycolytic. Interestingly, hypoxia inducible factor 1α was stabilized in these Nek2 knockout cells despite culturing them under normoxic conditions. Since neural differentiation requires a metabolic switch from glycolysis to oxidative phosphorylation, we propose a mechanism where Nek2 prevents HIF1α stabilization, thereby allowing cells to use oxidative phosphorylation to facilitate neuron and astrocyte differentiation.

The C-terminal to LisH (CTLH) complex is a newly discovered multi-subunit E3 ubiquitin ligase and its cellular functions are poorly characterized. Although some CTLH subunits have been found to localize in both the nucleus and cytoplasm of mammalian cells, differences between the compartment-specific complexes have not been explored. Here, we show that the CTLH complex forms different molecular mass complexes in nuclear and cytoplasmic fractions. Loss of WDR26 severely decreased nuclear CTLH complex subunit levels and impaired higher-order CTLH complex formation, revealing WDR26 as a critical determinant of the nuclear stability of the CTLH complex. Through affinity purification coupled to mass spectrometry of endogenous RanBPM (also called RANBP9), a CTLH complex member, from nuclear and cytoplasmic fractions, we identified over 170 compartment-specific interactors involved in various conserved biological processes, such as ribonucleoprotein biogenesis and chromatin assembly. We validated the nuclear-specific RanBPM interaction with macroH2A1 and the cytoplasm-specific interaction with tankyrase-1/2 (encoded by TNKS and TNKS2). Overall, this study provides critical insights into CTLH complex function and composition in both the cytoplasm and nucleus.

The secretome of mesenchymal stromal cells (MSCs) is enriched for biotherapeutic effectors contained within and independent of extracellular vesicles (EVs) that may support tissue regeneration as an injectable agent. We have demonstrated that the intrapancreatic injection of concentrated conditioned media (CM) produced by bone marrow MSC supports islet regeneration and restored glycemic control in hyperglycemic mice, ultimately providing a platform to elucidate components of the MSC secretome. Herein, we extend these findings using human pancreas-derived MSC (Panc-MSC) as "biofactories" to enrich for tissue regenerative stimuli housed within distinct compartments of the secretome. Specifically, we utilized 100 kDa ultrafiltration as a simple method to debulk protein mass and to enrich for EVs while concentrating the MSC secretome into an injectable volume for preclinical assessments in murine models of blood vessel and islet regeneration. EV enrichment (EV+) was validated using nanoscale flow cytometry and atomic force microscopy, in addition to the detection of classical EV markers CD9, CD81, and CD63 using label-free mass spectrometry. EV+ CM was predominately enriched with mediators of wound healing and epithelial-to-mesenchymal transition that supported functional regeneration in mesenchymal and nonmesenchymal tissues. For example, EV+ CM supported human microvascular endothelial cell tubule formation in vitro and enhanced the recovery of blood perfusion following intramuscular injection in nonobese diabetic/severe combined immunodeficiency mice with unilateral hind limb ischemia. Furthermore, EV+ CM increased islet number and β cell mass, elevated circulating insulin, and improved glycemic control following intrapancreatic injection in streptozotocin-treated mice. Collectively, this study provides foundational evidence that Panc-MSC, readily propagated from the subculture of human islets, may be utilized for regenerative medicine applications.

Ovarian cancer is the most lethal gynecological malignancy, owing to the fact that most cases are diagnosed at a late stage. To improve prognosis and reduce mortality, we must develop methods for the early diagnosis of ovarian cancer. A step towards early and non-invasive cancer diagnosis is through the utilization of extracellular vesicles (EVs), which are nanoscale, membrane-bound vesicles that contain proteins and genetic material reflective of their parent cell. Thus, EVs secreted by cancer cells can be thought of as cancer biomarkers. In this paper, we present gold nanohole arrays for the capture of ovarian cancer (OvCa)-derived EVs and their characterization by surface-enhanced Raman spectroscopy (SERS). For the first time, we have characterized EVs isolated from two established OvCa cell lines (OV-90, OVCAR3), two primary OvCa cell lines (EOC6, EOC18), and one human immortalized ovarian surface epithelial cell line (hIOSE) by SERS. We subsequently determined their main compositional differences by principal component analysis and were able to discriminate the groups by a logistic regression-based machine learning method with ∼99% accuracy, sensitivity, and specificity. The results presented here are a great step towards quick, facile, and non-invasive cancer diagnosis.

Fluorescent-activated cell sorting (FACS) remains a powerful tool to enrich blood-derived progenitor cells for the establishment of highly proliferative endothelial colony-forming cells (ECFC). Further investigation remains necessary to determine whether the retention of progenitor cell phenotypes after expansion can identify ECFC with enhanced proangiogenic and regenerative functions. This study employed FACS purification to segregate umbilical cord blood-derived ECFC using conserved provascular progenitor cell markers CD34 or aldehyde dehydrogenase (ALDH) activity. ECFC FACS purified for high versus low ALDH activity formed single cell-derived colonies and demonstrated tubule formation in Matrigel at comparable rates. Surprisingly, FACS purification of ECFC for CD34 enriched cells with enhanced colony-forming capabilities and tubule formation within the CD34

Multipotent/mesenchymal stromal cells (MSCs) exist within a variety of postnatal tissues; however, global proteomic analyses comparing tissue-specific MSC are limited. Using human bone marrow (BM)-derived MSCs as a gold standard, we used label-free mass spectrometry and functional assays to characterize the proteome, secretome, and corresponding function of human pancreas-derived MSCs (Panc-MSCs) with a classical phenotype (CD90+/CD73+/CD105+/CD45−/CD31−). Both MSC subtypes expressed mesenchymal markers vimentin, α-SMA, and STRO-1; however, expression of nestin was increased in Panc-MSCs. Accordingly, these Vimentinhigh/Nestinhigh cells were isolated from fresh human pancreatic islet and non-islet tissues. Next, we identified expression of >60 CD markers shared between Panc-MSCs and BM-MSCs, including validated expression of CD14. An additional 19 CD markers were differentially expressed, including reduced pericyte-marker CD146 expression on Panc-MSCs. Panc-MSCs also showed reduced expression of proteins involved in lipid and retinoid metabolism. Accordingly, Panc-MSCs showed restricted responses to adipogenic stimuli in vitro, although both MSC types demonstrated trilineage differentiation. In contrast, Panc-MSCs demonstrated accelerated growth kinetics and competency to pro-neurogenic stimuli in vitro. The secretome of Panc-MSCs was highly enriched for proteins associated with vascular development, wound healing and chemotaxis. Similar to BM-MSCs, Panc-MSCs conditioned media augmented endothelial cell survival, proliferation, and tubule formation in vitro. Importantly, the secretome of both MSC types was capable of stimulating chemotactic infiltration of murine endothelial cells in vivo and reduced hyperglycemia in STZ-treated mice following intrapancreatic injection. Overall, this study provides foundational knowledge to develop Panc-MSCs as a unique MSC subtype with functional properties beneficial in regenerative medicine for diabetes and vascular disease.

Ubiquitination is an essential post-translational modification that regulates protein stability or function. Its substrate specificity is dictated by various E3 ligases. The human C-terminal to LisH (CTLH) complex is a newly discovered multi-subunit really interesting new gene (RING) E3 ligase with only a few known ubiquitination targets. Here, we used mass spectrometry-based proteomic techniques to gain insight into CTLH complex function and ubiquitination substrates in HeLa cells. First, global proteomics determined proteins that were significantly increased, and thus may be substrates targeted for degradation, in cells depleted of CTLH complex member RanBPM. RanBPM-dependent ubiquitination determined using diGLY-enriched proteomics and the endogenous RanBPM interactome further revealed candidate ubiquitination targets. Three glycolysis enzymes alpha-enolase, L-lactate dehydrogenase A chain (LDHA), and pyruvate kinase M1/2 (PKM) had decreased ubiquitin sites in shRanBPM cells and were found associated with RanBPM in the interactome. Reduced polyubiquitination was validated for PKM2 and LDHA in cells depleted of RanBPM and CTLH complex RING domain subunit RMND5A. PKM2 and LDHA protein levels were unchanged, yet their activity was increased in extracts of cells with downregulated RanBPM. Finally, RanBPM deficient cells displayed enhanced glycolysis and deregulated central carbon metabolism. Overall, this study identifies potential CTLH complex ubiquitination substrates and uncovers that the CTLH complex inhibits glycolysis via non-degradative ubiquitination of PKM2 and LDHA.

Purpose: Ovarian carcinomas are a group of distinct diseases classified by histotypes. As histotype-specific treatment evolves, accurate classification will become critical for optimal precision medicine approaches. Experimental Design: To uncover differences between the two most common histotypes, high-grade serous (HGSC) and endometrioid carcinoma, we performed label-free quantitative proteomics on freshly frozen tumor tissues (HGSC, n = 10; endometrioid carcinoma, n = 10). Eight candidate protein biomarkers specific to endometrioid carcinoma were validated by IHC using tissue microarrays representing 361 cases of either endometrioid carcinoma or HGSC. Results: More than 500 proteins were differentially expressed (P < 0.05) between endometrioid carcinoma and HGSC tumor proteomes. A ranked set of 106 proteins was sufficient to correctly discriminate 90% of samples. IHC validated KIAA1324 as the most discriminatory novel biomarker for endometrioid carcinoma. An 8-marker panel was found to exhibit superior performance for discriminating endometrioid carcinoma from HGSC compared with the current standard of WT1 plus TP53 alone, improving the classification rate for HGSC from 90.7% to 99.2%. Endometrioid carcinoma–specific diagnostic markers such as PLCB1, KIAA1324, and SCGB2A1 were also significantly associated with favorable prognosis within endometrioid carcinoma suggesting biological heterogeneity within this histotype. Pathway analysis of proteomic data revealed differences between endometrioid carcinoma and HGSC pertaining to estrogen and interferon signalling. Conclusions: In summary, these findings support the use of multi-marker panels for the differential diagnosis of difficult cases resembling endometrioid carcinoma and HGSC.

The multi-subunit C-terminal to LisH (CTLH) complex is the mammalian homologue of the yeast Gid E3 ubiquitin ligase complex. In this study, we investigated the human CTLH complex and characterized its E3 ligase activity. We confirm that the complex immunoprecipitated from human cells comprises RanBPM, ARMC8 α/β, muskelin, WDR26, GID4 and the RING domain proteins RMND5A and MAEA. We find that loss of expression of individual subunits compromises the stability of other complex members and that MAEA and RMND5A protein levels are interdependent. Using in vitro ubiquitination assays, we demonstrate that the CTLH complex has E3 ligase activity which is dependent on RMND5A and MAEA. We report that the complex can pair with UBE2D1, UBE2D2 and UBE2D3 E2 enzymes and that recombinant RMND5A mediates K48 and K63 poly-ubiquitin chains. Finally, we show a proteasome-dependent increase in the protein levels of CTLH complex member muskelin in RMND5A KO cells. Furthermore, muskelin ubiquitination is dependent on RMND5A, suggesting that it may be a target of the complex. Overall, we further the characterization of the CTLH complex as an E3 ubiquitin ligase complex in human cells and reveal a potential autoregulation mechanism.

The diagnosis and prognosis of chronic kidney disease (CKD) currently relies on very few circulating small molecules, which can vary by factors unrelated to kidney function. In end-stage renal disease (ESRD), these same small molecules are used to determine dialysis dose and dialytic clearance. Therefore, we aimed to identify novel plasma biomarkers to estimate kidney function in CKD and dialytic clearance in ESRD. Untargeted metabolomics was performed on plasma samples from patients with a single kidney, non-dialysis CKD, ESRD and healthy controls. For ESRD patients, pre- and post-dialysis plasma samples were obtained from several dialysis modalities. Metabolomics analysis revealed over 400 significantly different features in non-dialysis CKD and ESRD plasma compared to controls while less than 35 features were significantly altered in patients with a single kidney. N,N,N-trimethyl-L-alanyl-L-proline betaine (TMAP, AUROC = 0.815) and pyrocatechol sulfate (AUROC = 0.888) outperformed creatinine (AUROC = 0.745) in accurately identifying patients with a single kidney. Several metabolites accurately predicted ESRD; however, when comparing pre-and post-hemodialysis, TMAP was the most robust biomarker of dialytic clearance for all modalities (AUROC = 0.993). This study describes TMAP as a novel potential biomarker of kidney function and dialytic clearance across several hemodialysis modalities.

SummaryMetabolism 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 differentiationin 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.HighlightsFeeder-free XEN cells exhibit high sensitivity to glycolytic inhibitionDistinct transcriptomic, proteomic and metabolomic profile exists between feeder-free ES and XEN cellsElevated intracellular and extracellular lactate is observed in feeder-free XEN cellsLactate enhances feeder-free XEN differentiationin vitro

The tumour microenvironment (TME) is an important mediator of breast cancer progression. Cancer-associated fibroblasts (CAFs) constitute a major component of the TME and may originate from tissue-associated fibroblasts or infiltrating mesenchymal stromal cells (MSCs). The mechanisms by which cancer cells activate fibroblasts and recruit MSCs to the TME are largely unknown, but likely include deposition of a pro-tumourigenic secretome. The secreted embryonic protein NODAL is clinically associated with breast cancer stage and promotes tumour growth, metastasis, and vascularization. Herein, we show that NODAL expression correlates with the presence of activated fibroblasts in human triple negative breast cancers and that it directly induces CAF phenotypes. We further show that NODAL reprograms cancer cell secretomes by simultaneously altering levels of chemokines (e.g. CXCL1), cytokines (e.g. IL-6) and growth factors (e.g. PDGFRA), leading to alterations in MSC chemotaxis. We therefore demonstrate a hitherto unappreciated mechanism underlying the dynamic regulation of the TME.

The comprehensiveness of data collected by “omics” modalities has demonstrated the ability to drastically transform our understanding of the molecular mechanisms of chronic, complex diseases such as musculoskeletal pathologies, how biomarkers are identified, and how therapeutic targets are developed. Standardization of protocols will enable comparisons between findings reported by multiple research groups and move the application of these technologies forward. Herein, we describe a protocol for parallel proteomic and metabolomic analysis of mouse intervertebral disc (IVD) tissues, building from the combined expertise of our collaborative team. This protocol covers dissection of murine IVD tissues, sample isolation, and data analysis for both proteomics and metabolomics applications. The protocol presented below was optimized to maximize the utility of a mouse model for “omics” applications, accounting for the challenges associated with the small starting quantity of sample due to small tissue size as well as the extracellular matrix‐rich nature of the tissue.

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 (*

Mass spectrometry (MS) is an analytical technique for determining the composition of a sample. Conventionally, peptide mass fingerprinting is widely used to identify proteins from MS dataset. Here, the authors developed a novel network-based inference software termed NBPMF. By analyzing peptide-protein bipartite network, they designed new peptide protein matching score functions. They present two methods: the static one, ProbS, is based on an independent probability framework; and the dynamic one, HeatS, depicts input data as dependent peptides. Moreover, they use linear regression to adjust the matching score according to the masses of proteins. In addition, they consider the order of retention time to further correct the score function. In the post processing, they design two algorithms: assignment of peaks and protein filtration. Finally, they propose two strategies to estimate the false discovery rate. The experiments on simulated, authentic, and simulated authentic dataset demonstrate that their NBPMF approaches lead to significantly improved performance compared to several state-of-the-art methods.

Mass spectrometry (MS) is an analytical technique for determining the composition of a sample. In bottom-up techniques, peptide mass fingerprinting (PMF) is widely used to identify proteins from MS dataset. In this article, the authors developed a novel network-based inference software termed NBPMF. By analyzing peptide-protein bipartite network, they designed new peptide protein matching score functions. They present two methods: the static one, ProbS, is based on an independent probability framework; and the dynamic one, HeatS, depicts input data as dependent peptides. The authors also use linear regression to adjust the matching score according to the masses of proteins. In addition, they consider the order of retention time to further correct the score function. In post processing, a peak can only be assigned to one peptide in order to reduce random matches. Finally, the authors try to filter out false positive proteins. The experiments on simulated and real data demonstrate that their NBPMF approaches lead to significantly improved performance compared to several state-of-the-art methods.

Aims/hypothesis: Novel strategies to stimulate the expansion of beta cell mass in situ are warranted for diabetes therapy. The aim of this study was to elucidate the secretome of human bone marrow (BM)-derived multipotent stromal cells (MSCs) with documented islet regenerative paracrine function. We hypothesised that regenerative MSCs will secrete a unique combination of protein factors that augment islet regeneration. Methods: Human BM-derived MSCs were examined for glucose-lowering capacity after transplantation into streptozotocin-treated NOD/severe combined immunodeficiency (SCID) mice and segregated into samples with regenerative (MSCR) vs nonregenerative (MSCNR) capacity. Secreted proteins associated with islet regenerative function were identified using stable isotope labelling with amino acids in cell culture (SILAC)-based quantitative proteomics. To functionally validate the importance of active Wnt signalling, we stimulated the Wnt-signalling pathway in MSCNR samples during ex vivo expansion using glycogen synthase kinase 3 (GSK3) inhibition (CHIR99201), and the conditioned culture media (CM) generated was tested for the capacity to support cultured human islet cell survival and proliferation in vitro. Results: MSCR showed increased secretion of proteins associated with cell growth, matrix remodelling, immunosuppressive and proangiogenic properties. In contrast, MSCNR uniquely secreted proteins known to promote inflammation and negatively regulate angiogenesis. Most notably, MSCR maintained Wnt signalling via Wnt5A/B (~2.5-fold increase) autocrine activity during ex vivo culture, while MSCNR repressed Wnt signalling via Dickkopf-related protein (DKK)1 (~2.5-fold increase) and DKK3 secretion. Inhibition of GSK3 activity in MSCNR samples increased the accumulation of nuclear β-catenin and generated CM that augmented beta cell survival (13% increases) and proliferation when exposed to cultured human islets. Conclusions/interpretation: Maintenance of active Wnt signalling within human MSCs promotes the secretion of matricellular and proangiogenic proteins that formulate a niche for islet regeneration.

During culture expansion, multipotent mesenchymal stromal cells (MSCs) differentially express aldehyde dehydrogenase (ALDH), an intracellular detoxification enzyme that protects long-lived cells against oxidative stress. Thus, MSC selection based on ALDH-activity may be used to reduce heterogeneity and distinguish MSC subsets with improved regenerative potency. After expansion of human bone marrow-derived MSCs, cell progeny was purified based on low versus high ALDH-activity (ALDHhi) by fluorescence-activated cell sorting, and each subset was compared for multipotent stromal and provascular regenerative functions. Both ALDHl° and ALDHhi MSC subsets demonstrated similar expression of stromal cell (>95% CD73+, CD90+, CD105+) and pericyte (>95% CD146+) surface markers and showed multipotent differentiation into bone, cartilage, and adipose cells in vitro. Conditioned media (CDM) generated by ALDHhi MSCs demonstrated a potent proliferative and prosurvival effect on human microvascular endothelial cells (HMVECs) under serum-free conditions and augmented HMVEC tube-forming capacity in growth factor-reduced matrices. After subcutaneous transplantation within directed in vivo angiogenesis assay implants into immunodeficient mice, ALDHhi MSC or CDM produced by ALDHhi MSC significantly augmented murine vascular cell recruitment and perfused vessel infiltration compared with ALDHl° MSC. Although both subsets demonstrated strikingly similar mRNA expression patterns, quantitative proteomic analyses performed on subset-specific CDM revealed the ALDHhi MSC subset uniquely secreted multiple proangiogenic cytokines (vascular endothelial growth factor beta, platelet derived growth factor alpha, and angiogenin) and actively produced multiple factors with chemoattractant (transforming growth factor-β, C-X-C motif chemokine ligand 1, 2, and 3 (GRO), C-C motif chemokine ligand 5 (RANTES), monocyte chemotactic protein 1 (MCP-1), interleukin [IL]-6, IL-8) and matrix-modifying functions (tissue inhibitor of metalloprotinase 1 & 2 (TIMP1/2)). Collectively, MSCs selected for ALDHhi demonstrated enhanced proangiogenic secretory functions and represent a purified MSC subset amenable for vascular regenerative applications.

Multipotent/mesenchymal stromal cells (MSCs) exist within a variety of postnatal tissues; however, global proteomic analyses comparing tissue-specific MSC are limited. Using human bone marrow (BM)-derived MSCs as a gold standard, we used label-free mass spectrometry and functional assays to characterize the proteome, secretome, and corresponding function of human pancreas-derived MSCs (Panc-MSCs) with a classical phenotype (CD90+/CD73+/CD105+/CD45-/CD31-). Both MSC subtypes expressed mesenchymal markers vimentin, α-SMA, and STRO-1; however, expression of nestin was increased in Panc-MSCs. Accordingly, these Vimentin

Human multipotent stromal cells (hMSC) can induce islet regeneration after transplantation via the secretion of proteins that establish an islet regenerative niche. However, the identity of hMSC-secreted signals and the mechanisms by which pancreatic islet regeneration is induced remain unknown. Recently, mammalian pancreatic α-cells have been shown to possess considerable plasticity, and differentiate into β-like cells after near complete β-cell loss or overexpression of key transcriptional regulators. These studies have generated new excitement that islet regeneration during diabetes may be possible if we can identify clinically applicable stimuli to modulate these key regulatory pathways. Herein, we demonstrate that intrapancreatic-injection of concentrated hMSC-conditioned media (CM) stimulated islet regeneration without requiring cell transfer. hMSC CM-injection significantly reduced hyperglycemia, increased circulating serum insulin concentration, and improved glucose tolerance in streptozotocin-treated mice. The rate and extent of endogenous β-cell mass recovery was dependent on total protein dose administered and was further augmented by the activation of Wnt-signaling using GSK3-inhibition during CM generation. Intrapancreatic hMSC CM-injection immediately set in motion a cascade of regenerative events that included the emergence of proliferating insulin+ clusters adjacent to ducts, NKX6.1 expression in glucagon+ cells at days 1–4 suggesting the acquisition of β-cell phenotype by α-cells, and accelerated β-cell maturation with increased MAFA-expression for >1 month postinjection. Discovery and validation of islet regenerative hMSC-secreted protein may lead to the development of cell-free regenerative therapies able to tip the balance in favor of β-cell regeneration versus destruction during diabetes. Stem Cells 2019;37:516–528

The tumour microenvironment (TME), consisting of stromal cell types including fibroblasts, endothelial, immune and mesenchymal stromal cells (MSCs), is an important mediator of breast cancer (BCa) progression. BCa cells regulate the composition of the TME by secreting a myriad of factors; however, mechanisms governing the dynamic reciprocity between BCa and TME components are largely unknown. Cancer-associated fibroblasts (CAFs) are a major stromal component in many BCa and have been shown to be activated by BCa cells. MSCs recruited to the TME are an important source of CAFs in many cancers; therefore, characterizing the factors involved in MSC recruitment could provide additional avenues for therapeutic intervention by disrupting the TME in BCa. NODAL, an embryonic morphogen belonging to the TGF-beta superfamily, is clinically associated with BCa progression, and has been shown to sustain BCa stem cells and to promote tumour growth, metastasis, and vascularization. Herein, we report that NODAL expression positively correlates with the presence of CAFs in the stroma of triple-negative human BCa tissues, as determined by NODAL and a-smooth muscle Actin (SMA) staining. Further, our in vitro studies show that NODAL directly induces primary fibroblast activation and chemotaxis. Proteomic analysis of the conditioned media of NODAL-overexpressing MDA-MB-231 and SUM149 BCa cells by mass spectrometry reveal that NODAL reprograms BCa secretomes by simultaneously altering levels of chemokines (e.g. CXCL1), growth factors (e.g. PDGFRA) and cytokines (e.g. IL-6), and that the NODAL-regulated secretome, but not NODAL directly, impacts the ability of BCa cells to affect MSC chemotaxis. We provide evidence that IL-6 promotes MSC chemotaxis, and further discuss the context-dependent effects of NODAL in BCa cell lines. Collectively, our results suggest that factors present in NODAL-regulated secretomes may induce MSC recruitment to the breast TME, where they may contribute to CAF population, therefore demonstrating a hitherto unappreciated role of NODAL as a dynamic regulator of breast TME components. Citation Format: Dylan Dieters-Castator, Paola M. Dantonio, Matt Piaseczny, Guihua Zhang, Jiahui Liu, Miljan Kuljanin, Stephen Sherman, Michael Jewer, Katherine Quesnel, Eun-Young Kang, Martin Köbel, Gabrielle M. Siegers, Andrew Leask, David Hess, Gilles Lajoie, Lynne-Marie Postovit. Embryonic protein NODAL as a potential modulator of the tumour microenvironment: Breast cancer secretome reprogramming and fibroblast activation [abstract]. In: Proceedings of the AACR Virtual Special Conference on the Evolving Tumor Microenvironment in Cancer Progression: Mechanisms and Emerging Therapeutic Opportunities; in association with the Tumor Microenvironment (TME) Working Group; 2021 Jan 11-12. Philadelphia (PA): AACR; Cancer Res 2021;81(5 Suppl):Abstract nr PO028.

Neurons within different brain regions have varying levels of vulnerability to external stress and respond differently to injury. A potential reason to explain this may lie within a key lipid class of the cell's plasma membrane called gangliosides. These glycosphingolipid species have been shown to play various roles in the maintenance of neuronal viability. The purpose of this study is to use electrospray ionization mass spectrometry (ESI-MS) and immunohistochemistry to evaluate the temporal expression profiles of gangliosides during the course of neurodegeneration in rat primary cortical neurons exposed to glutamate toxicity. Primary embryonic (E18) rat cortical neurons were cultured to DIV (days in vitro) 14. Glutamate toxicity was induced for 1, 3, 6, and 24 h to injure and kill neurons. Immunofluorescence was used to stain for GM1 and GM3 species, and ESI-MS was used to quantify the ganglioside species expressed within these injured neurons. ESI-MS data revealed that GM1, GM2, and GM3 were up-regulated in neurons exposed to glutamate. Interestingly, using immunofluorescence, we demonstrated that the GM1 increase following glutamate exposure occurred in viable neurons, possibly indicating a potential intrinsic neuroprotective response. To test this potential neuroprotective property, neurons were pretreated with GM1 for 24 h prior to glutamate exposure. Pretreatment with GM1 conferred significant neuroprotection against glutamate-induced cell death. Overall, work from this study validates the use of ESI-MS for cell-derived gangliosides and supports the further development of lipid based strategies to protect against neuron cell death.

Summary Human multipotent stromal cells (hMSCs) are one of the most versatile cell types used in regenerative medicine due to their ability to respond to injury. In the context of diabetes, it has been previously shown that the regenerative capacity of hMSCs is donor specific after transplantation into streptozotocin (STZ)-treated immunodeficient mice. However, in vivo transplantation models to determine regenerative potency of hMSCs are lengthy, costly, and low throughput. Therefore, a high-throughput quantitative proteomics assay was developed to screen β cell regenerative potency of donor-derived hMSC lines. Using proteomics, we identified 16 proteins within hMSC conditioned media that effectively identify β cell regenerative hMSCs. This protein signature was validated using human islet culture assay, ELISA, and the potency was confirmed by recovery of hyperglycemia in STZ-treated mice. Herein, we demonstrated that quantitative proteomics can determine sample-specific protein signatures that can be used to classify previously uncharacterized hMSC lines for β cell regenerative clinical applications.

Blood-derived progenitor cell transplantation holds potential for the treatment of severe vascular diseases. Human umbilical cord blood (UCB)-derived hematopoietic progenitor cells purified using high aldehyde dehydrogenase (ALDHhi) activity demonstrate pro-angiogenic functions following intramuscular (i.m.) transplantation into immunodeficient mice with hind-limb ischemia. Unfortunately, UCB ALDHhi cells are rare and prolonged ex vivo expansion leads to loss of high ALDH-activity and diminished vascular regenerative function. ALDH-activity generates retinoic acid, a potent driver of hematopoietic differentiation, creating a paradoxical challenge to expand UCB ALDHhi cells while limiting differentiation and retaining pro-angiogenic functions. We investigated whether inhibition of ALDH-activity during ex vivo expansion of UCB ALDHhi cells would prevent differentiation and expand progeny that retained pro-angiogenic functions after transplantation into non-obese diabetic/severe combined immunodeficient mice with femoral artery ligation-induced unilateral hind-limb ischemia. Human UCB ALDHhi cells were cultured under serum-free conditions for 9 days, with or without the reversible ALDH-inhibitor, diethylaminobenzaldehyde (DEAB). Although total cell numbers were increased >70-fold, the frequency of cells that retained ALDHhi/CD34+ phenotype was significantly diminished under basal conditions. In contrast, DEAB-inhibition increased total ALDHhi/CD34+ cell number by ≥ 10-fold, reduced differentiation marker (CD38) expression, and enhanced the retention of multipotent colony-forming cells in vitro. Proteomic analysis revealed that DEAB-treated cells upregulated anti-apoptotic protein expression and diminished production of proteins implicated with megakaryocyte differentiation. The i.m. transplantation of DEAB-treated cells into mice with hind-limb ischemia stimulated endothelial cell proliferation and augmented recovery of hind-limb perfusion. DEAB-inhibition of ALDH-activity delayed hematopoietic differentiation and expanded multipotent myeloid cells that accelerated vascular regeneration following i.m. transplantation in vivo.

Human multipotent stromal cells (hMSC) are one of the most versatile cell types used in regenerative medicine, due to their ability to respond to injury, combat infection and disease. In the context of diabetes, it has been previously shown that the regenerative capacity of hMSC lines is donor-specific after transplantation into streptozotocin (STZ)-treated immunodeficient mice. However, in vivo transplantation models to determine regenerative potency of hMSC are lengthy, costly and higher throughput assays are needed. Therefore, a high-throughput quantitative proteomics assay was developed to screen β-cell regenerative potency of donor-derived hMSC lines. Using quantitative proteomics, coupled with machine learning, we identified 16 proteins contained within hMSC conditioned media that effectively identify β-cell regenerative hMSC. This protein signature was validated using in vitro human islet culture assay with multiparametric flow cytometry, ELISA and the potency was confirmed by in vivo recovery of hyperglycemia in STZ-treated mice. For the first time, we demonstrated that quantitative proteomics can determine sample-specific protein signatures that can be used to classify previously uncharacterized donor-derived hMSC lines for β-cell regenerative clinical applications.

Chlamydomonas sp. UWO 241 (UWO 241) is a psychrophilic green alga isolated from Antarctica. A unique characteristic of this algal strain is its inability to undergo state transitions coupled with the absence of photosystem II (PSII) light-harvesting complex protein phosphorylation. We show that UWO 241 preferentially phosphorylates specific polypeptides associated with an approximately 1,000-kD pigment-protein supercomplex that contains components of both photosystem I (PSI) and the cytochrome b6/f (Cyt b6/f) complex. Liquid chromatography nano-tandem mass spectrometry was used to identify three major phosphorylated proteins associated with this PSI-Cyt b6/f supercomplex, two 17-kD PSII subunit P-like proteins and a 70-kD ATP-dependent zinc metalloprotease, FtsH. The PSII subunit P-like protein sequence exhibited 70.6% similarity to the authentic PSII subunit P protein associated with the oxygen-evolving complex of PSII in Chlamydomonas reinhardtii. Tyrosine-146 was identified as a unique phosphorylation site on the UWO 241 PSII subunit P-like polypeptide. Assessment of PSI cyclic electron transport by in vivo P700 photooxidation and the dark relaxation kinetics of P700+ indicated that UWO 241 exhibited PSI cyclic electron transport rates that were 3 times faster and more sensitive to antimycin A than the mesophile control, Chlamydomonas raudensis SAG 49.72. The stability of the PSI-Cyt b6/f supercomplex was dependent upon the phosphorylation status of the PsbP-like protein and the zinc metalloprotease FtsH as well as the presence of high salt. We suggest that adaptation of UWO 241 to its unique low-temperature and high-salt environment favors the phosphorylation of a PSI-Cyt b6/f supercomplex to regulate PSI cyclic electron transport rather than the regulation of state transitions through the phosphorylation of PSII light-harvesting complex proteins.

Mass spectrometry (MS) has recently become a primary tool for protein identification and quantification. Peptide mass fingerprinting (PMF) is widely used to identify proteins from MS data. Conventional PMF representatives such as probabilistic MOWSE algorithm, is based on mass distribution of tryptic peptides. In this paper we develop a novel network-based inference software termed NBPMF. By analyzing peptide-protein bipartite network, we developed new peptide protein matching score functions. We present two methods: the static one, ProbS, is based on an independent probability framework; and the dynamic one, HeatS, depicts input data from dependent perspective. We also use linear regression to adjust the matching score according to the masses of proteins. In addition, we consider the order of retention time to further correct the score function. In the post processing, we restrict that a peak can only be assigned to one peptide in order to reduce random matches. Finally, we try to filter false positive proteins for better result. The experiments on simulated and real data demonstrate that our NBPMF approaches lead to significantly improved performance compared to several state-of-the-art methods.

Mixture spectra occur quite frequently in a typical wet-lab mass spectrometry experiment, which result from the concurrent fragmentation of multiple precursors. The ability to efficiently and confidently identify mixture spectra is essential to alleviate the existent bottleneck of low mass spectra identification rate. However, most of the traditional computational methods are not suitable for interpreting mixture spectra, because they still take the assumption that the acquired spectra come from the fragmentation of a single precursor. In this manuscript, we formulate the mixture spectra de novo sequencing problem mathematically, and propose a dynamic programming algorithm for the problem. Additionally, we use both simulated and real mixture spectra data sets to verify the merits of the proposed algorithm.