100 research outputs found
Profiling invasive Plasmodium falciparum merozoites using an integrated omics approach
The symptoms of malaria are brought about by blood-stage parasites, which are established when merozoites invade human erythrocytes. Our understanding of the molecular events that underpin erythrocyte invasion remains hampered by the short-period of time that merozoites are invasive. To address this challenge, a Plasmodium falciparum gamma-irradiated long-lived merozoite (LLM) line was developed and investigated. Purified LLMs invaded erythrocytes by an increase of 10–300 fold compared to wild-type (WT) merozoites. Using an integrated omics approach, we investigated the basis for the phenotypic difference. Only a few single nucleotide polymorphisms within the P. falciparum genome were identified and only marginal differences were observed in the merozoite transcriptomes. By contrast, using label-free quantitative mass-spectrometry, a significant change in protein abundance was noted, of which 200 were proteins of unknown function. We determined the relative molar abundance of over 1100 proteins in LLMs and further characterized the major merozoite surface protein complex. A unique processed MSP1 intermediate was identified in LLM but not observed in WT suggesting that delayed processing may be important for the observed phenotype. This integrated approach has demonstrated the significant role of the merozoite proteome during erythrocyte invasion, while identifying numerous unknown proteins likely to be involved in invasion
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Modeling Progressive Fibrosis with Pluripotent Stem Cells Identifies an Anti-fibrotic Small Molecule.
Progressive organ fibrosis accounts for one-third of all deaths worldwide, yet preclinical models that mimic the complex, progressive nature of the disease are lacking, and hence, there are no curative therapies. Progressive fibrosis across organs shares common cellular and molecular pathways involving chronic injury, inflammation, and aberrant repair resulting in deposition of extracellular matrix, organ remodeling, and ultimately organ failure. We describe the generation and characterization of an in vitro progressive fibrosis model that uses cell types derived from induced pluripotent stem cells. Our model produces endogenous activated transforming growth factor β (TGF-β) and contains activated fibroblastic aggregates that progressively increase in size and stiffness with activation of known fibrotic molecular and cellular changes. We used this model as a phenotypic drug discovery platform for modulators of fibrosis. We validated this platform by identifying a compound that promotes resolution of fibrosis in in vivo and ex vivo models of ocular and lung fibrosis
Correction to: Differentiation of RPE cells from integration-free iPS cells and their cell biological characterization.
The original article [1] contains an error in the legend of Fig 5 whereby the descriptions for panels 5d and 5e are incorrect; as such, the corrected legend can be viewed below with its respective figure images
Dynamic regulation of canonical TGF beta signalling by endothelial transcription factor ERG protects from liver fibrogenesis
The role of the endothelium in protecting from chronic liver disease and TGFβ-mediated
fibrosis remains unclear. Here we describe how the endothelial transcription factor
ETS-related gene (ERG) promotes liver homoeostasis by controlling canonical TGFβ-SMAD
signalling, driving the SMAD1 pathway while repressing SMAD3 activity. Molecular analysis
shows that ERG binds to SMAD3, restricting its access to DNA. Ablation of ERG expression
results in endothelial-to-mesenchymal transition (EndMT) and spontaneous liver
fibrogenesis in EC-specific constitutive hemi-deficient (ErgcEC-Het) and inducible homozygous
deficient mice (ErgiEC-KO), in a SMAD3-dependent manner. Acute administration of the
TNF-α inhibitor etanercept inhibits carbon tetrachloride (CCL4)-induced fibrogenesis in an
ERG-dependent manner in mice. Decreased ERG expression also correlates with EndMT in
tissues from patients with end-stage liver fibrosis. These studies identify a pathogenic
mechanism where loss of ERG causes endothelial-dependent liver fibrogenesis via regulation
of SMAD2/3. Moreover, ERG represents a promising candidate biomarker for assessing
EndMT in liver disease
The Mitochondrial Apoptotic Effectors BAX/BAK Activate Caspase-3 and -7 to Trigger NLRP3 Inflammasome and Caspase-8 Driven IL-1beta Activation
Published: November 27, 2018Intrinsic apoptosis resulting from BAX/BAK-mediated mitochondrial membrane damage is regarded as immunologically silent. We show here that in macrophages, BAX/BAK activation results in inhibitor of apoptosis (IAP) protein degradation to promote caspase-8-mediated activation of IL-1β. Furthermore, BAX/BAK signaling induces a parallel pathway to NLRP3 inflammasome-mediated caspase-1-dependent IL-1β maturation that requires potassium efflux. Remarkably, following BAX/BAK activation, the apoptotic executioner caspases, caspase-3 and -7, act upstream of both caspase-8 and NLRP3-induced IL-1β maturation and secretion. Conversely, the pyroptotic cell death effectors gasdermin D and gasdermin E are not essential for BAX/BAK-induced IL-1β release. These findings highlight that innate immune cells undergoing BAX/BAK-mediated apoptosis have the capacity to generate pro-inflammatory signals and provide an explanation as to why IL-1β activation is often associated with cellular stress, such as during chemotherapy.James E. Vince, Dominic De Nardo, Wenqing Gao, Angelina J. Vince, Cathrine Hall, Kate McArthur, Daniel Simpson, Swarna Vijayaraj, Lisa M. Lindqvist, Philippe Bouillet, Mark A. Rizzacasa, Si Ming Man, John Silke, Seth L. Masters, Guillaume Lessene, David C.S. Huang, Daniel H.D. Gray, Benjamin T. Kile, Feng Shao, and Kate E. Lawlo
HSP70-binding protein HSPBP1 regulates chaperone expression at a posttranslational level and is essential for spermatogenesis
Molecular chaperones play key roles during growth, development, and stress survival. The ability to induce chaperone expression enables cells to cope with the accumulation of nonnative proteins under stress and complete developmental processes with an increased requirement for chaperone assistance. Here we generate and analyze transgenic mice that lack the cochaperone HSPBP1, a nucleotide-exchange factor of HSP70 proteins and inhibitor of chaperone-assisted protein degradation. Male HSPBP1(−/−) mice are sterile because of impaired meiosis and massive apoptosis of spermatocytes. HSPBP1 deficiency in testes strongly reduces the expression of the inducible, antiapoptotic HSP70 family members HSPA1L and HSPA2, the latter of which is essential for synaptonemal complex disassembly during meiosis. We demonstrate that HSPBP1 affects chaperone expression at a posttranslational level by inhibiting the ubiquitylation and proteasomal degradation of inducible HSP70 proteins. We further provide evidence that the cochaperone BAG2 contributes to HSP70 stabilization in tissues other than testes. Our findings reveal that chaperone expression is determined not only by regulated transcription, but also by controlled degradation, with degradation-inhibiting cochaperones exerting essential prosurvival functions
Thermal transformations of Cu–Mg (Zn)–Al(Fe) hydrotalcite-like materials into metal oxide systems and their catalytic activity in selective oxidation of ammonia to dinitrogen
Layered double hydroxides (LDHs) containing
, or cations in the positions and
and in the positions were synthesized by co-
precipitation method. Detailed studies of thermal trans-
formation of obtained LDHs into metal oxide systems were
performed using high temperature X-ray diffraction in
oxidising and reducing atmosphere, thermogravimetry
coupled with mass spectrometry and temperature-pro-
grammed reduction. The LDH samples calcined at 600 and
900 were tested in the role of catalysts for selective
oxidation of ammonia into nitrogen and water vapour. It
was shown that all copper congaing samples presented high
catalytic activity and additionally, for the Cu–Mg–Al and
Cu–Mg–Fe hydrotalcite samples calcined at 600 rela-
tively high stability and selectivity to dinitrogen was
obtained. An increase in calcination temperature to 900
resulted in a decrease of their catalytic activity, possibly
due to formation of well-crystallised metal oxide phase which are less catalytically active in the process of selective oxidation of ammonia
In silico toxicology protocols
The present publication surveys several applications of in silico (i.e., computational) toxicology approaches across different industries and institutions. It highlights the need to develop standardized protocols when conducting toxicity-related predictions. This contribution articulates the information needed for protocols to support in silico predictions for major toxicological endpoints of concern (e.g., genetic toxicity, carcinogenicity, acute toxicity, reproductive toxicity, developmental toxicity) across several industries and regulatory bodies. Such novel in silico toxicology (IST) protocols, when fully developed and implemented, will ensure in silico toxicological assessments are performed and evaluated in a consistent, reproducible, and well-documented manner across industries and regulatory bodies to support wider uptake and acceptance of the approaches. The development of IST protocols is an initiative developed through a collaboration among an international consortium to reflect the state-of-the-art in in silico toxicology for hazard identification and characterization. A general outline for describing the development of such protocols is included and it is based on in silico predictions and/or available experimental data for a defined series of relevant toxicological effects or mechanisms. The publication presents a novel approach for determining the reliability of in silico predictions alongside experimental data. In addition, we discuss how to determine the level of confidence in the assessment based on the relevance and reliability of the information
Motion Prediction Model Using Adaptive Neuro Fuzzy Network (ANFN) and Probabilistic Neural Network (PNN) Algorithm in 4-Dimensional Computed Tomography (4DCT) Images
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