Functional Proteomics Research Articles

Sodium Dodecyl Sulfate Analogs as a Potential Molecular Biology Reagent.

In this study, we review the properties of three anionic detergents, sodium dodecyl sulfate (SDS), Sarkosyl, and sodium lauroylglutamate (SLG), as they play a critical role in molecular biology research. SDS is widely used in electrophoresis and cell lysis for proteomics. Sarkosyl and, more frequently, SDS are used for the characterization of neuropathological protein fibrils and the solubilization of proteins. Many amyloid fibrils are resistant to SDS or Sarkosyl to different degrees and, thus, can be readily isolated from detergent-sensitive proteins. SLG is milder than the above two detergents and has been used in the solubilization and refolding of proteins isolated from inclusion bodies. Here, we show that both Sarkosyl and SLG have been used for protein refolding, that the effects of SLG on the native protein structure are weaker for SLG, and that SLG readily dissociates from the native proteins. We propose that SLG may be effective in cell lysis for functional proteomics due to no or weaker binding of SLG to the native proteins.

Pilotins are mobile T3SS components involved in assembly and substrate specificity of the bacterial type III secretion system.

In animal pathogens, assembly of the type III secretion system injectisome requires the presence of so-called pilotins, small lipoproteins that assist the formation of the secretin ring in the outer membrane. Using a combination of functional assays, interaction studies, proteomics, and live-cell microscopy, we determined the contribution of the pilotin to the assembly, function, and substrate selectivity of the T3SS and identified potential new downstream roles of pilotin proteins. In absence of its pilotin SctG, Yersinia enterocolitica forms few, largely polar injectisome sorting platforms and needles. Accordingly, most export apparatus subcomplexes are mobile in these strains, suggesting the absence of fully assembled injectisomes. Remarkably, while absence of the pilotin all but prevents export of early T3SS substrates, such as the needle subunits, it has little effect on secretion of late T3SS substrates, including the virulence effectors. We found that although pilotins interact with other injectisome components such as the secretin in the outer membrane, they mostly localize in transient mobile clusters in the bacterial membrane. Together, these findings provide a new view on the role of pilotins in the assembly and function of type III secretion injectisomes.

A computational pipeline elucidating functions of conserved hypothetical Trypanosoma cruzi proteins based on public proteomic data.

The proteome is complex, dynamic, and functionally diverse. Functional proteomics aims to characterize the functions of proteins in biological systems. However, there is a delay in annotating the function of proteins, even in model organisms. This gap is even greater in other organisms, including Trypanosoma cruzi, the causative agent of the parasitic, systemic, and sometimes fatal disease called Chagas disease. About 99.8% of Trypanosoma cruzi proteome is not manually annotated (unreviewed), among which>25% are conserved hypothetical proteins (CHPs), calling attention to the knowledge gap on the protein content of this organism. CHPs are conserved proteins among different species of various evolutionary lineages; however, they lack functional validation. This study describes a bioinformatics pipeline applied to public proteomic data to infer possible biological functions of conserved hypothetical Trypanosoma cruzi proteins. Here, the adopted strategy consisted of collecting differentially expressed proteins between the epimastigote and metacyclic trypomastigotes stages of Trypanosoma cruzi; followed by the functional characterization of these CHPs applying a manifold learning technique for dimension reduction and 3D structure homology analysis (Spalog). We found a panel of 25 and 26 upregulated proteins in the epimastigote and metacyclic trypomastigote stages, respectively; among these, 18 CHPs (8 in the epimastigote stage and 10 in the metacyclic stage) were characterized. The data generated corroborate the literature and complement the functional analyses of differentially regulated proteins at each stage, as they attribute potential functions to CHPs, which are frequently identified in Trypanosoma cruzi proteomics studies. However, it is important to point out that experimental validation is required to deepen our understanding of the CHPs.

Molecular profiling of sponge deflation reveals an ancient relaxant-inflammatory response

A hallmark of animals is the coordination of whole-body movement. Neurons and muscles are central to this, yet coordinated movements also exist in sponges that lack these cell types. Sponges are sessile animals with a complex canal system for filter-feeding. They undergo whole-body movements resembling "contractions" that lead to canal closure and water expulsion. Here, we combine live 3D optical coherence microscopy, pharmacology, and functional proteomics to elucidate the sequence and detail of shape changes, the tissues and molecular physiology involved, and the control of these movements. Morphometric analysis and targeted perturbation suggest that the movement is driven by the relaxation of actomyosin stress fibers in epithelial canal cells, which leads to whole-body deflation via collapse of the incurrent and expansion of the excurrent canal system. Thermal proteome profiling and quantitative phosphoproteomics confirm the control of cellular relaxation by an Akt/NO/PKG/PKA pathway. Agitation-induced deflation leads to differential phosphorylation of proteins forming epithelial cell junctions, implying their mechanosensitive role. Unexpectedly, untargeted metabolomics detect a concomitant decrease in antioxidant molecules during deflation, reflecting an increase in reactive oxygen species. Together with the secretion of proteinases, cytokines, and granulin, this indicates an inflammation-like state of the deflating sponge reminiscent of vascular endothelial cells experiencing oscillatory shear stress. These results suggest the conservation of an ancient relaxant-inflammatory response of perturbed fluid-carrying systems in animals and offer a possible mechanism for whole-body coordination through diffusible paracrine signals and mechanotransduction.

Functional proteomics based on protein microarray technology for biomedical research.

This chapter traces a route through Proteomics from its origins to the present day. The different proteomics applications are discussed with a focus on microarray technology. Analytical microarrays, functional microarrays and reverse phase microarrays and their different applications are discussed. Several studies are mentioned where the great versatility of this approach is shown. Finally, the advantages and future challenges of microarray technology are outlined.

Gelatin Zymography of Major Proteases in Exosomes of Leishmania major Promastigotes.

Enzymatic digestion of extra cellular matrix proteins by proteinases of Leishmania promastigotes is a complex process. Hence, studies on functional proteomics of these enzymes can help select these enzymes as possible vaccine candidates or selecting candidates for chemotherapy and immunotherapy. Several proteolytic enzymes are involved in virulence of Leishmania spp. These enzymes are mostly serine, cysteine and metalloproteases. We aimed to detect proteases in Leishmania promastigote exosomes. Serine, cysteine and metalloproteases were investigated in exosomes and lysate of L. major promastigote using gelatin zymography. The study was carried out in the Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran, in 2021. Zymography findings of metalloproteinases showed transparent bands, including a 63-kDa glycoprotein (GP63). This glycoprotein is a major surface metalloproteinase. In addition, transparent bands belonged to serin proteases and cathepsin were demonstrated in gels associated to Leishmania promastigote lysate and exosomes. Several metalloproteases, serin proteases and cathepsins were shown in promastigote lysate and exosomes of L. major, which could purified and used as fractions for immunodiagnostic.

Integrating Proteomics and Functional Genomics to Identify Targets for Improving Glucocorticoid-Based Treatment of B-Lymphoblastic Leukemia

Glucocorticoids are a critical component of successful combination chemotherapy regimens for B-lymphoblastic leukemia (B-ALL). Despite advances in immunotherapies, glucocorticoid-based chemotherapy continues to be the essential frontline treatment of patients with B-ALL. This approach has led to high cure rates but at the risk of both acute, potentially life-threatening complications and chronic toxicities. Additionally, glucocorticoids remain ineffective for some patients with B-ALL, which predicts poor outcomes. To achieve better outcomes and reduce the toxicity of treatment, we take a functional genomics approach to understand how glucocorticoids induce cell death and identify strategies to make them more effective. Glucocorticoids work through the glucocorticoid receptor (GR), a ligand-activated transcription factor, to induce cell death in B-ALL. By integrating gene expression and RNA interference screening, we have identified both effector genes (genes whose regulation by glucocorticoids contributes to B-ALL cell death) and sources of resistance that can be targeted to improve treatment (Kruth et al Blood 2017). This identified the network of BCL-2 family proteins (e.g., BCL2, BCL2L11, BMF), whose regulation contributes to apoptosis in B-ALL. Surprisingly, it also showed that suppression of B-cell development genes (e.g., EBF1, PAX5, IL7R) contributes to B-ALL cell death. However, only a fraction of the genes that affect the glucocorticoid sensitivity of B-ALL are effector genes. We therefore sought to identify functional interaction partners of GR, defined as proteins that physically interact with GR and influence glucocorticoid sensitivity. To identify proteins that physically interact with GR, we used proximity labeling. We fused an ascorbate peroxidase domain (APEX2) to the N-terminus of GR and expressed it REH cells, a B-ALL cell line that does not express GR protein. After verifying that APEX2-GR restored glucocorticoid sensitivity in the REH cells, we performed proximity labeling in the presence and absence of dexamethasone. After optimizing these reactions, cells were lysed and labeled proteins were isolated using magnetic streptavidin beads and identified by mass spectrometry. We were able to detect more than 4,000 proteins that interact with GR, including hundreds that are enriched upon addition of dexamethasone. To identify functional interaction, we intersected the proteins enriched upon addition of dexamethasone with proteins shown by us to modulate glucocorticoid sensitivity in B-ALL (Kruth et al Blood 2017). Supporting our working model, we found functional interaction partners that are involved in B-cell development and apoptosis. We found that GR interacts with EBF1 and MEF2C, B-cell development transcription factors that restrain glucocorticoid-induced cell death. This indicates that GR activity and glucocorticoid sensitivity is directly blunted by B-cell development, and further supports the model that glucocorticoids restrain B-cell development. The mechanism of how these interactions influence glucocorticoid sensitivity will guide rational targeting to improve treatment of B-ALL both in general and in different B-ALL subtypes. Additionally, the mitochondrial voltage dependent anion channel 2 (VDAC2) also interacts with GR in a dexamethasone-dependent manner and is integral to glucocorticoid-induced cell death. VDAC2 is important for nucleating and perhaps triggering pore formation through BAK and BAX. How GR influences this activity is not known but suggests a non-genomic role of GR in glucocorticoid-induced cell death. In summary, integration of functional genomics and proteomics provides rich data sets that will help understand the mechanism of glucocorticoid-induced B-ALL cell death. Targeting of non-canonical (B-cell development) and non-genomic (VDAC2) functions of GR will allow for optimization of glucocorticoid-based chemotherapy regimens.

Characterisation of Wild Strains of Lactic Acid Bacteria Isolated from Legumes and Their Biocontrol Potential against Fusarium spp.

Legumes are indispensable crops in sustainable agricultural systems because of their capability for biological nitrogen fixation owing to symbiosis with rhizobia and soil fertility restoration. Fungal pathogens from the genera Fusarium cause rotting and wilting and produce mycotoxins in plant tissues. The use of fungicides in sustainable agricultural systems is limited; therefore, the application of biological agents with antifungal activity against Fusarium spp. is desirable. Lactic acid bacteria (LAB) are promising control agents that produce a wide spectrum of functional metabolites. Lactiplantibacillus plantarum and other lactobacilli are the most intensively studied genera of LAB in relation to antifungal activity against Fusarium spp. However, LAB strains belonging to the lactobacilli and lactococci genera have not yet been isolated and characterised from legumes. Therefore, we aimed to obtain wild strains of LAB from legumes, screen them for functional characteristics with respect to their antifungal activity, and compare their antifungal activity against isolates of Fusarium spp. from legumes. Consequently, 31 LAB isolates belonging to 10 species were obtained and identified from legumes. Their functional properties, including genetics and proteomics, short-chain organic acid production, and antifungal activity against five Fusarium spp., of Lactiplantibacillus plantarum, Lacticaseibacillus paracasei, and Lactiplantibacillus pentosus isolates, were studied. Cell-free supernatants of L. plantarum and L. pentosus showed significant suppression of mycelial growth and conidial germination.

Exogenous pyruvate promotes gentamicin uptake to kill antibiotic-resistant Vibrio alginolyticus

Elucidating antibiotic resistance mechanisms is necessary for developing novel therapeutic strategies. The increasing incidence of antibiotic-resistant Vibrio alginolyticus infection threatens both human health and aquaculture, but the mechanism has not been fully elucidated. Here, an isobaric tags for relative and absolute quantification (iTRAQ) functional proteomics analysis was performed on gentamicin-resistant V. alginolyticus (VA-RGEN) and a gentamicin-sensitive strain in order to characterize the global protein expression changes upon gentamicin resistance. Then, the bacterial killing assay and bacterial gentamicin pharmacokinetics were performed. Proteomics analysis demonstrated a global metabolic downshift in VA-RGEN, where the pyruvate cycle (the P cycle) was severely compromised. Exogenous pyruvate restored the P cycle activity, disrupting the redox state and increasing the membrane potential. It thereby potentiated gentamicin-mediated killing by approximately 3000- and 150-fold in vitro and in vivo, respectively. More importantly, bacterial gentamicin pharmacokinetics indicated that pyruvate enhanced gentamicin influx to a degree that exceeded the gentamicin expelled by the bacteria, increasing the intracellular gentamicin. Thus, our study suggests a metabolism-based approach to combating gentamicin-resistant V. algonolyticus, which paves the way for combating other types of antibiotic-resistant bacterial pathogens.

Functional and spatial proteomics profiling reveals intra- and intercellular signaling crosstalk in colorectal cancer

Precision oncology approaches for patients with colorectal cancer (CRC) continue to lag behind other solid cancers. Functional precision oncology-a strategy that is based on perturbing primary tumor cells from cancer patients-could provide a road forward to personalize treatment. We extend this paradigm to measuring proteome activity landscapes by acquiring quantitative phosphoproteomic data from patient-derived organoids (PDOs). We show that kinase inhibitors induce inhibitor- and patient-specific off-target effects and pathway crosstalk. Reconstruction of the kinase networks revealed that the signaling rewiring is modestly affected by mutations. We show non-genetic heterogeneity of the PDOs and upregulation of stemness and differentiation genes by kinase inhibitors. Using imaging mass-cytometry-based profiling of the primary tumors, we characterize the tumor microenvironment (TME) and determine spatial heterocellular crosstalk and tumor-immune cell interactions. Collectively, we provide a framework for inferring tumor cell intrinsic signaling and external signaling from the TME to inform precision (immuno-) oncology in CRC.

Degradation, altered microbial community composition, and protein expression in bacterial consortium/fungus inoculated crude oil contaminated loamy soil

Accidental discharge of crude oil due to rupturing of old oil pipelines and blasts in oil refineries leads to contamination of agricultural land/adjacent areas and changes in microbial community and protein expression in the contaminated soil. Our previous study identified a bacterial consortium (Bacillus amyloliquefaciens MW532755+ Pseudomonas sp. MW444887) and a fungus (Aspergillus sydowii KY614299) with crude oil degrading ability. These microorganisms were used in the present investigation to degrade total petroleum hydrocarbon in naturally contaminated loamy soil (25% w/w) collected from the Assam region of India. The half-life of crude oil in uninoculated (T1), bacterial consortium (T2), and fungus-inoculated (T3) soils were 135.9, 47.5, and 58.2 days, respectively. The bacterial consortium and the fungus treatments altered the soil bacterial community and metabolic pathways, evidently from the analyses using metagenomics and predicted functional proteomics. The sequencing analysis using Ion Torrent showed the presence of 287 genera in the oil-polluted and treated soil samples. At the Genus level, abundances of Pseudomonas and Bacilli were observed, and the reads representing those of the Domain Bacteria for uninoculated (T1), bacterial consortium (T2), and fungus (T3) treated soils were 214525, 584054 and 489423, respectively. The predicted functional proteomics analysis for the protein-regulating genes, functional pathways, and protein families showed the presence of diversified pathways responsible for higher metabolic activities (q < 0.05). The quantitative polymerase chain reaction (qPCR) analysis showed that, compared to fungus treatment, bacterial consortium increased the abundance of 16S rRNA gene copies of Archaea, Alphaproteobacteria, and Bacteroidetes and also the gene copies of nitrogen cycling such as nifH (106 to 108) were highest, followed by nirK (104 to 108), amoA (104 to 105), and nirS (104 to 106)The present study suggested that the bacterial consortium as the hydrocarbon degraders was better than fungus and can be used in the future for oil remediation purposes.

Functional Proteomics Characterization of the Role of SPRYD7 in Colorectal Cancer Progression and Metastasis.

SPRY domain-containing protein 7 (SPRYD7) is a barely known protein identified via spatial proteomics as being upregulated in highly metastatic-to-liver KM12SM colorectal cancer (CRC) cells in comparison to its isogenic poorly metastatic KM12C CRC cells. Here, we aimed to analyze SPRYD7's role in CRC via functional proteomics. Through immunohistochemistry, the overexpression of SPRYD7 was observed to be associated with the poor survival of CRC patients and with an aggressive and metastatic phenotype. Stable SPRYD7 overexpression was performed in KM12C and SW480 poorly metastatic CRC cells and in their isogenic highly metastatic-to-liver-KM12SM-and-to-lymph-nodes SW620 CRC cells, respectively. Upon upregulation of SPRYD7, in vitro and in vivo functional assays confirmed a key role of SPRYD7 in the invasion and migration of CRC cells and in liver homing and tumor growth. Additionally, transient siRNA SPRYD7 silencing allowed us to confirm in vitro functional results. Furthermore, SPRYD7 was observed as an inductor of angiogenesis. In addition, the dysregulated SPRYD7-associated proteome and SPRYD7 interactors were elucidated via 10-plex TMT quantitative proteins, immunoproteomics, and bioinformatics. After WB validation, the biological pathways associated with the stable overexpression of SPRYD7 were visualized. In conclusion, it was demonstrated here that SPRYD7 is a novel protein associated with CRC progression and metastasis. Thus, SPRYD7 and its interactors might be of relevance in identifying novel therapeutic targets for advanced CRC.

Functional Proteomics Analysis of Norfloxacin-Resistant Edwardsiella tarda.

Multidrug-resistant Edwardsiella tarda threatens both sustainable aquaculture and human health, but the control measure is still lacking. In this study, we adopted functional proteomics to investigate the molecular mechanism underlying norfloxacin (NOR) resistance in E. tarda. We found that E. tarda had a global proteomic shift upon acquisition of NOR resistance, featured with increased expression of siderophore biosynthesis and Fe3+-hydroxamate transport. Thus, either inhibition of siderophore biosynthesis with salicyl-AMS or treatment with another antibiotic, kitasamycin (Kit), which was uptake through Fe3+-hydroxamate transport, enhanced NOR killing of NOR-resistant E. tarda both in vivo and in vitro. Moreover, the combination of NOR, salicyl-AMS, and Kit had the highest efficacy in promoting the killing effects of NOR than any drug alone. Such synergistic effect not only confirmed in vitro and in vivo bacterial killing assays but also applicable to other clinic E. tarda isolates. Thus, our data suggest a proteomic-based approach to identify potential targets to enhance antibiotic killing and propose an alternative way to control infection of multidrug-resistant E. tarda.

Implications of intrinsic disorder and functional proteomics in the merkel cell polyomavirus life cycle.

Infection with merkel cell polyomavirus (MCPyV) is implicated in the development of merkel cell carcinoma (MCC), a rare but aggressive skin cancer. MCC has a mortality rate near 50%, and incidence has been rapidly increasing in recent decades, making development of improved treatment strategies critical to addressing its growing social burden. The parallel increasing necessity for novel research to better understand MCPyV pathogenesis has prompted numerous studies in recent years, yet the role of intrinsic disorder in MCPyV proteins remains unexplored. This study carries out computational characterization of intrinsic disorder within the MCPyV proteome and suggests mechanisms that may contribute to the oncogenicity of the virus to invade and hijack host immune systems. Our analysis finds that significant levels of intrinsic disorder are present in proteins LT, ALTO, 57kT, and VP1, and suggests that regions of sT may also contain large, disordered regions. The investigation further shows correlation of disorder propensity with the outputs for functional predictors of eukaryotic linear motifs (ELMs), molecular recognition features (MoRFs), and propensity for liquid-liquid phase separation (LLPS). Our findings indicate that MCPyV may use disorder and phase condensation to alter viral function that may accentuate or provide the basis for oncogenic activities. It is intended that this study will inform future experimental validation efforts around the phase separation capacity of MCPyV and its host protein-protein interactions. Furthermore, we hope to inform other investigators on the potential role of disorder in the MCPyV life cycle toward ultimately progressing the development of novel therapeutic agents.

Temporal landscape of mitochondrial proteostasis governed by the UPRmt.

Breakdown of mitochondrial proteostasis activates quality control pathways including the mitochondrial unfolded protein response (UPRmt) and PINK1/Parkin mitophagy. However, beyond the up-regulation of chaperones and proteases, we have a limited understanding of how the UPRmt remodels and restores damaged mitochondrial proteomes. Here, we have developed a functional proteomics framework, termed MitoPQ (Mitochondrial Proteostasis Quantification), to dissect the UPRmt's role in maintaining proteostasis during stress. We find essential roles for the UPRmt in both protecting and repairing proteostasis, with oxidative phosphorylation metabolism being a central target of the UPRmt. Transcriptome analyses together with MitoPQ reveal that UPRmt transcription factors drive independent signaling arms that act in concert to maintain proteostasis. Unidirectional interplay between the UPRmt and PINK1/Parkin mitophagy was found to promote oxidative phosphorylation recovery when the UPRmt failed. Collectively, this study defines the network of proteostasis mediated by the UPRmt and highlights the value of functional proteomics in decoding stressed proteomes.

Camel nanobody-based B7-H3 CAR-T cells show high efficacy against large solid tumours

Rational design of chimeric antigen receptor T (CAR-T) cells based on the recognition of antigenic epitopes capable of evoking the most potent CAR activation is an important objective in optimizing immune therapy. In solid tumors, the B7-H3 transmembrane protein is an emerging target that harbours two distinct epitope motifs, IgC and IgV, in its ectodomain. Here, we generate dromedary camel nanobodies targeting B7-H3 and demonstrate that CAR-T cells, based on the nanobodies recognizing the IgC but not IgV domain, had potent antitumour activity against large tumors in female mice. These CAR-T cells are characterized by highly activated T cell signaling and significant tumor infiltration. Single-cell transcriptome RNA sequencing coupled with functional T-cell proteomics analysis uncovers the top-upregulated genes that might be critical for the persistence of polyfunctional CAR-T cells in mice. Our results highlight the importance of the specific target antigen epitope in governing optimal CAR-T activity and provide a nanobody-based B7-H3 CAR-T product for use in solid tumor therapy.

A new insight updates in diagnosis and management of acute lymphoblastic leukemia, cytogenetics, immunophenotyping, and proteomic profile

Acute lymphoblastic leukemia (ALL) is a severely invasive hematological cancer that results from the rapid increase and accumulation of lymphoid blasts in the blood, bone marrow (BM), and other organs. The pervasiveness of ALL has made it the prevalent childhood acute leukemia making up approximately 80% of leukemia in children and about 20% in adults. Due to the prevalence of ALL, more accurate diagnosis and prognostic methods are required. Proteome analysis uses a variety of analytical techniques, including protein sequencing, structural or expression proteomics, protein modification, sub-cellular protein localization, protein-protein interactions, and biological functional proteomics. Analysis of cell-signaling pathways and activation/deactivation are crucial to follow up the development, remission, or relapse of ALL. As a result, this review emphasizes cytogenetics and immunophenotyping while also highlighting the proteomic profile, clinical symptoms, diagnosis, and management of ALL. Also, it evaluates the procedures and techniques for the testing of bodily fluids (peripheral blood, cerebrospinal fluid, and BM) from ALL patients at various stages of disease, as well as the use of proteomic platforms in discovering sensitive and specific biomarkers for ALL.

Obtaining Functional Proteomics Insights From Thermal Proteome Profiling Through Optimized Melt Shift Calculation and Statistical Analysis With InflectSSP

Thermal proteome profiling (TPP) is an invaluable tool for functional proteomics studies that has been shown to discover changes associated with protein–ligand, protein–protein, and protein–RNA interaction dynamics along with changes in protein stability resulting from cellular signaling. The increasing number of reports employing this assay has not been met concomitantly with new approaches leading to advancements in the quality and sensitivity of the corresponding data analysis. The gap between data acquisition and data analysis tools is important to fill as TPP findings have reported subtle melt shift changes related to signaling events such as protein posttranslational modifications. In this study, we have improved the Inflect data analysis pipeline (now referred to as InflectSSP, available at https://CRAN.R-project.org/package=InflectSSP) to increase the sensitivity of detection for both large and subtle changes in the proteome as measured by TPP. Specifically, InflectSSP now has integrated statistical and bioinformatic functions to improve objective functional proteomics findings from the quantitative results obtained from TPP studies through increasing both the sensitivity and specificity of the data analysis pipeline. InflectSSP incorporates calculation of a “melt coefficient” into the pipeline with production of average melt curves for biological replicate studies to aid in identification of proteins with significant melts. To benchmark InflectSSP, we have reanalyzed two previously reported datasets to demonstrate the performance of our publicly available R-based program for TPP data analysis. We report new findings following temporal treatment of human cells with the small molecule thapsigargin that induces the unfolded protein response as a consequence of inhibition of sarcoplasmic/endoplasmic reticulum calcium ATPase 2A. InflectSSP analysis of our unfolded protein response study revealed highly reproducible and statistically significant target engagement over a time course of treatment while simultaneously providing new insights into the possible mechanisms of action of the small molecule thapsigargin.

Strategies for the Development of Industrial Fungal Producing Strains.

The use of microorganisms in industry has enabled the (over)production of various compounds (e.g., primary and secondary metabolites, proteins and enzymes) that are relevant for the production of antibiotics, food, beverages, cosmetics, chemicals and biofuels, among others. Industrial strains are commonly obtained by conventional (non-GMO) strain improvement strategies and random screening and selection. However, recombinant DNA technology has made it possible to improve microbial strains by adding, deleting or modifying specific genes. Techniques such as genetic engineering and genome editing are contributing to the development of industrial production strains. Nevertheless, there is still significant room for further strain improvement. In this review, we will focus on classical and recent methods, tools and technologies used for the development of fungal production strains with the potential to be applied at an industrial scale. Additionally, the use of functional genomics, transcriptomics, proteomics and metabolomics together with the implementation of genetic manipulation techniques and expression tools will be discussed.

JAK3 Y841 Autophosphorylation Is Critical for STAT5B Activation, Kinase Domain Stability and Dimer Formation.

Janus tyrosine kinase 3 (JAK3) is primarily expressed in immune cells and is needed for signaling by the common gamma chain (γc) family of cytokines. Abnormal JAK3 signal transduction can manifest as hematological disorders, e.g., leukemia, severe combined immunodeficiency (SCID) and autoimmune disease states. While regulatory JAK3 phosphosites have been well studied, here a functional proteomics approach coupling a JAK3 autokinase assay to mass spectrometry revealed ten previously unreported autophosphorylation sites (Y105, Y190, Y238, Y399, Y633, Y637, Y738, Y762, Y824, and Y841). Of interest, Y841 was determined to be evolutionarily conserved across multiple species and JAK family members, suggesting a broader role for this residue. Phospho-substitution mutants confirmed that Y841 is also required for STAT5 tyrosine phosphorylation. The homologous JAK1 residue Y894 elicited a similar response to mutagenesis, indicating the shared importance for this site in JAK family members. Phospho-specific Y841-JAK3 antibodies recognized activated kinase from various T-cell lines and transforming JAK3 mutants. Computational biophysics analysis linked Y841 phosphorylation to enhanced JAK3 JH1 domain stability across pH environments, as well as to facilitated complementary electrostatic JH1 dimer formation. Interestingly, Y841 is not limited to tyrosine kinases, suggesting it represents a conserved ubiquitous enzymatic function that may hold therapeutic potential across multiple kinase families.