Non-monotonic Response to Monotonic Stimulus: Regulation of Glyoxylate Shunt Gene-Expression Dynamics in Mycobacterium tuberculosis

Understanding how dynamical responses of biological networks are constrained by underlying network topology is one of the fundamental goals of systems biology. Here we employ monotone systems theory to formulate a theorem stating necessary conditions for non-monotonic time-response of a biochemical network to a monotonic stimulus. We apply this theorem to analyze the non-monotonic dynamics of the σ^B-regulated glyoxylate shunt gene expression in Mycobacterium tuberculosis cells exposed to hypoxia. We first demonstrate that the known network structure is inconsistent with observed dynamics. To resolve this inconsistency we employ the formulated theorem, modeling simulations and optimization along with follow-up dynamic experimental measurements. We show a requirement for post-translational modulation of σ^B activity in order to reconcile the network dynamics with its topology. The results of this analysis make testable experimental predictions and demonstrate wider applicability of the developed methodology to a wide class of biological systems.     

Whole Genome Sequence Analysis Using JSpecies Tool Establishes Clonal Relationships between Listeria monocytogenes Strains from Epidemiologically Unrelated Listeriosis Outbreaks

In an effort to build a comprehensive genomic approach to food safety challenges, the FDA has implemented a whole genome sequencing effort, GenomeTrakr, which involves the sequencing and analysis of genomes of foodborne pathogens. As a part of this effort, we routinely sequence whole genomes of Listeria monocytogenes (Lm) isolates associated with human listeriosis outbreaks, as well as those isolated through other sources. To rapidly establish genetic relatedness of these genomes, we evaluated tetranucleotide frequency analysis via the JSpecies program to provide a cursory analysis of strain relatedness. The JSpecies tetranucleotide (tetra) analysis plots standardized (z-score) tetramer word frequencies of two strains against each other and uses linear regression analysis to determine similarity (r²). This tool was able to validate the close relationships between outbreak related strains from four different outbreaks. Included in this study was the analysis of Lm strains isolated during the recent caramel apple outbreak and stone fruit incident in 2014. We identified that many of the isolates from these two outbreaks shared a common 4b variant (4bV) serotype, also designated as IVb-v1, using a qPCR protocol developed in our laboratory. The 4bV serotype is characterized by the presence of a 6.3 Kb DNA segment normally found in serotype 1/2a, 3a, 1/2c and 3c strains but not in serotype 4b or 1/2b strains. We decided to compare these strains at a genomic level using the JSpecies Tetra tool. Specifically, we compared several 4bV and 4b isolates and identified a high level of similarity between the stone fruit and apple 4bV strains, but not the 4b strains co-identified in the caramel apple outbreak or other 4b or 4bV strains in our collection. This finding was further substantiated by a SNP-based analysis. Additionally, we were able to identify close relatedness between isolates from clinical cases from 1993–1994 and a single case from 2011 as well as links between two isolates from over 30 years ago. The identification of these potential links shows that JSpecies Tetra analysis can be a useful tool in rapidly assessing genetic relatedness of Lm isolates during outbreak investigations and for comparing historical isolates. Our analyses led to the identification of a highly related clonal group involved in two separate outbreaks, stone fruit and caramel apple, and suggests the possibility of a new genotype that may be better adapted for certain foods and/or environment.     

Glutamate metabolism in HIV-1 infected macrophages: Role of HIV-1 Vpr

HIV-1 infected macrophages play a significant role in the neuropathogenesis of AIDS. HIV-1 viral protein R (Vpr) not only facilitates HIV-1 infection but also contribute to long-lived persistence in macrophages. Our previous studies using SILAC-based proteomic analysis showed that the expression of critical metabolic enzymes in the glycolytic pathway and tricarboxylic acid (TCA) cycle were altered in response to Vpr expression in macrophages. We hypothesized that Vpr-induced modulation of glycolysis and TCA cycle regulates glutamate metabolism and release in HIV-1 infected macrophages.

We assessed the amount of specific metabolites induced by Vpr and HIV-1 in macrophages at the intracellular and extracellular level in a time-dependent manner utilizing multiple reaction monitoring (MRM) targeted metabolomics. In addition, stable isotope-labeled glucose and an MRM targeted metabolomics assay were used to evaluate the de novo synthesis and release of glutamate in Vpr overexpressing macrophages and HIV-1 infected macrophages, throughout the metabolic flux of glycolytic pathway and TCA cycle activation.

The metabolic flux studies demonstrated an increase in glucose uptake, glutamate release and accumulation of α-ketoglutarate (α-KG) and glutamine in the extracellular milieu in Vpr expressing and HIV-1 infected macrophages. Interestingly, glutamate pools and other intracellular intermediates (glucose-6-phosphate (G6P), fructose-6-phosphate (F6P), citrate, malate, α-KG, and glutamine) showed a decreased trend except for fumarate, in contrast to the glutamine accumulation observed in the extracellular space in Vpr overexpressing macrophages.

Our studies demonstrate that dysregulation of mitochondrial glutamate metabolism induced by Vpr in HIV-1 infected macrophages commonly seen, may contribute to neurodegeneration via excitotoxic mechanisms in the context of NeuroAIDS.     

Biophysical factors in the regulation of asymmetric division of stem cells

Stem cells are a promising cell source for regenerative medicine due to their characteristics of self‐renewal and differentiation. The intricate balance between these two cell fates is maintained by precisely controlled symmetric and asymmetric cell divisions. Asymmetric division has a fundamental importance in maintaining tissue homeostasis and in the development of multi‐cellular organisms. For example, during development, asymmetric cell divisions are responsible for the formation of the body axis. Mechanistically, mitotic spindle dynamics determine the assembly and separation of chromosomes and regulate the orientation of cell division. Interestingly, symmetric and asymmetric cell division is not mutually exclusive and a range of factors are involved in such cell‐fate decisions, the measurement of which can provide efficient and reliable information on the regenerative potential of a cell. The balance between self‐renewal and differentiation in stem cells is controlled by various biophysical and biochemical cues. Although the role of biochemical factors in asymmetric stem cell division has been widely studied, the effect of biophysical cues in stem‐cell self‐renewal is not comprehensively understood. Herein, we review the biological relevance of stem‐cell asymmetric division to regenerative medicine and discuss the influences of various intrinsic and extrinsic biophysical cues in stem‐cell self‐renewal. This review particularly aims to inform the clinical translation of efforts to control the self‐renewal ability of stem cells through the tuning of various biophysical cues.     

In vivo functional characterization of the <Emphasis Type="Italic">Saccharomyces cerevisiae</Emphasis> 60S biogenesis GTPase Nog1

The Saccharomyces cerevisiae Nog1 GTPase is critical for assembly of the large ribosomal subunit. Mutations in conserved residues in the GTP-binding pocket cause defects in cell growth and 60S ribosome assembly but mutant proteins retain their ability to associate with the pre-60S. Association of Nog1 with the pre-60S is independent of guanine nucleotide added to cell extracts. Thus, it appears that nucleotide occupancy does not substantially affect Nog1 association with pre-60S particles. Somewhat surprisingly, neither of the conserved threonines in the G2 motif of the GTPase domain is essential for Nog1 function. Neither the steady-state rRNA levels nor the protein composition (as determined by isobaric labeling and identification by mass spectrometry of peptides) of the pre-60S particles in the nog1P176V mutant are grossly perturbed, although levels of four proteins (Nog1, Nop2, Nop15, and Tif6) are modestly reduced in pre-60S particles isolated from the mutant. Deletion analysis revealed that the C-terminal 168 amino acids are not required for function; however, the N-terminal 126 amino acids are required. Optimal association with pre-60S particles requires sequences between amino acids 347–456. Several conserved charge-to-alanine substitutions outside the GTPase domain display modest growth phenotypes indicating that these residues are not critical for function. Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Biophysical and Computational Approaches to Unravel pH-Dependent Conformational Change of PspA Assist PspA-PspF Complex Formation in Yersinia enterocolitica

The Protein Journal - In enteropathogen, Yersinia enterocolitica, the genes encoding phage shock proteins are organized in an operon (pspA-E), which is activated at the various types of cellular...     

Morphological and molecular divergence of Indian hill trout,Barilius bendelisis (Hamilton, 1822) stocks from different Rivers in Indo‐Burma biodiversity hotspot: Does river altitude and Dam play a role?

The present study explains the intraspecific variation in Indian Hill trout (Barilius bendelisis) on the basis of image based truss network system and D‐loop region of mtDNA. A total of 210 samples were collected from three different rivers (Teesta, Kameng and Myntudu River) of North East India in Indo‐Burma Biodiversity Hotspot. By using the software applications (tpsDig version 2.1 and PAST), a total of 25 morphometric measurements were generated from 10 landmarks. The Analysis of Variance (ANOVA), Factor Analysis (FA) and Discriminate Function Analysis (DFA) showed, out of the total variations, factor 1 explained 46.74% while factor 2 and factor 3 explained 27.14% and 11.92%, respectively. Using these variables 83.33% of the cross‐validated specimens were classified into distinct groups. Analysis of Molecular Variance (AMOVA) and pairwise Fst value for D‐loop region of mtDNA also showed high to medium level of genetic variation among the stocks and within the stocks. We conclude that the observed discrete stocks might be the result of changing environmental conditions in different rivers of the hotspot as the rivers are present at different altitudinal labels. It is also believed that the variation might be due to the construction of barrages across the river which hinder the mixing among the stocks.     

Structural and functional characterization of type three secretion system ATPase PscN and its regulator PscL from Pseudomonas aeruginosa

Type Three Secretion Systems (T3SS) from many gram-negative bacteria utilize ATPases for the translocation of effector proteins into the eukaryotic host cells through injectisome. Cytosolic regulators effectively control the action of these ATPases. PscN from Pseudomonas aeruginosa was an ATPase which was regulated by an uncharacterized PscL. Here we have bioinformatically, biochemically, and biophysically characterized PscN as a T3SS ATPase and PscL as its regulator. In solution, PscN exists predominantly as oligomer and hydrolyzes ATP with V_max of 3.9 ± 0.2 μmol/min/mg and K _m 0.93 ± 0.06 mM. Hexameric structure of PscN was observed under AFM and TEM in the presence of ATP. PscL was dimeric in solution and interacted with PscN strongly in Ni-NTA pull-down assay and SPR analysis. PscL was shown to downregulate PscN ATPase activity up to 80% when mixed with PscN in 1:2 ratio (PscN:PscL). SEC data reconfirm the PscN–PscL interaction stoichiometry (ie, 1:2 ratio) which can also be visualized under AFM. In the present study, we have also found out the existence of an oligomeric form of the PscN–PscL heterotrimeric complex. PscL being the regulator of PscN and interacts to form this conformation, which may play an important role too in the regulation of T3SS utilized by Pseudomonas aeruginosa. For structural aspect, three dimensional in silico models of PscN, PscL, and PscN–PscL were generated. So, in short, present study tried to enlighten both the structural, functional and mechanistic insights into the action of PscN–PscL complex in T3SS mediated pathogenic pathway.