Determination of community structure through deconvolution of PLFA-FAME signature of mixed population

Phospholipid fatty acids (PLFAs) as biomarkers are well established in the literature. A general method based on least square approximation (LSA) was developed for the estimation of community structure from the PLFA signature of a mixed population where biomarker PLFA signatures of the component species were known. Fatty acid methyl ester (FAME) standards were used as species analogs and mixture of the standards as representative of the mixed population. The PLFA/FAME signatures were analyzed by gas chromatographic separation, followed by detection in flame ionization detector (GC-FID). The PLFAs in the signature were quantified as relative weight percent of the total PLFA. The PLFA signatures were analyzed by the models to predict community structure of the mixture. The LSA model results were compared with the existing "functional group" approach. Both successfully predicted community structure of mixed population containing completely unrelated species with uncommon PLFAs. For slightest intersection in PLFA signatures of component species, the LSA model produced better results. This was mainly due to inability of the "functional group" approach to distinguish the relative amounts of the common PLFA coming from more than one species. The performance of the LSA model was influenced by errors in the chromatographic analyses. Suppression (or enhancement) of a component's PLFA signature in chromatographic analysis of the mixture, led to underestimation (or overestimation) of the component's proportion in the mixture by the model. In mixtures of closely related species with common PLFAs, the errors in the common components were adjusted across the species by the model.     

Cyclin-dependent kinase inhibitors sensitize tumor cells to nutlin-induced apoptosis: a potent drug combination

Current chemotherapy focuses on the use of genotoxic drugs that may induce general DNA damage in cancer cells but also high levels of toxicity in normal tissues. Nongenotoxic activation of p53 by targeting specific molecular pathways therefore provides an attractive therapeutic strategy in cancers with wild-type p53. Here, we explored the antitumor potential of cyclin-dependent kinase (CDK) inhibitors in combination with a small molecule inhibitor of p53-murine double minute 2 (MDM2) interaction. We show that low doses of CDK inhibitors roscovitine and DRB synergize with the MDM2 antagonist nutlin-3a in the induction of p53 activity and promote p53-dependent apoptosis in a dose- and time-dependent manner. Statistical measurement of the combination effects shows that the drug combination is additive on the reduction of cell viability and synergistic on inducing apoptosis, a critical end point of cytotoxic drugs. The degree of apoptosis observed 24 to 48 h after drug treatment correlated with the accumulation of p53 protein and concomitant induction of proapoptotic proteins Puma and PIG3. The antiproliferative and cytotoxic effects of this drug combination are validated in a range of tumor-derived cells including melanoma, colon carcinoma, breast adenocarcinoma, and hepatocarcinoma cells. Furthermore, this drug combination does not induce phosphorylation of Ser(15) on p53 and does not induce genotoxic stress in the cell. Given that many cytotoxic drugs rely on their ability to induce apoptosis via DNA damage-mediated activation of p53, the data presented here may provide a new therapeutic approach for the use of CDK inhibitors and MDM2 antagonists in combinatorial drug therapy.     

Evolution of chromosome number in grasshoppers (Orthoptera: Caelifera: Acrididae)

Organisms Diversity & Evolution - Orthoptera have some of the largest genomes of all insects. At the same time, the architecture of their genomes remains poorly understood. Comparative...     

Determining clinically relevant features in cytometry data using persistent homology

Cytometry experiments yield high-dimensional point cloud data that is difficult to interpret manually. Boolean gating techniques coupled with comparisons of relative abundances of cellular subsets is the current standard for cytometry data analysis. However, this approach is unable to capture more subtle topological features hidden in data, especially if those features are further masked by data transforms or significant batch effects or donor-to-donor variations in clinical data. We present that persistent homology, a mathematical structure that summarizes the topological features, can distinguish different sources of data, such as from groups of healthy donors or patients, effectively. Analysis of publicly available cytometry data describing non-naïve CD8+ T cells in COVID-19 patients and healthy controls shows that systematic structural differences exist between single cell protein expressions in COVID-19 patients and healthy controls. We identify proteins of interest by a decision-tree based classifier, sample points randomly and compute persistence diagrams from these sampled points. The resulting persistence diagrams identify regions in cytometry datasets of varying density and identify protruded structures such as ‘elbows’. We compute Wasserstein distances between these persistence diagrams for random pairs of healthy controls and COVID-19 patients and find that systematic structural differences exist between COVID-19 patients and healthy controls in the expression data for T-bet, Eomes, and Ki-67. Further analysis shows that expression of T-bet and Eomes are significantly downregulated in COVID-19 patient non-naïve CD8+ T cells compared to healthy controls. This counter-intuitive finding may indicate that canonical effector CD8+ T cells are less prevalent in COVID-19 patients than healthy controls. This method is applicable to any cytometry dataset for discovering novel insights through topological data analysis which may be difficult to ascertain otherwise with a standard gating strategy or existing bioinformatic tools.     

Acute and subchronic toxicity of aflatoxin B1 to rohu, Labeo rohita (Hamilton)

Pathological alterations in various organs of rohu (L. rohita) fingerlings following acute (0, 7.50, 11.25 and 13.75 mg/kg body weight) and subchronic (0, 1.25 and 2.50 mg/kg body weight) single i.p. aflatoxin B1 exposure for 10 and 90 days, respectively, were investigated. Mortality (dose-dependent) was marked only during acute toxicosis. The changes observed in various organs were dose and time dependent. The acute dose groups revealed toxic changes viz., necrotic and vascular changes in liver and gill lamellae; meningitis, congestion in brain, degeneration and inflammatory reaction in heart along with degenerative to necrotic changes in kidney tubules and sloughing of the intestinal mucosa. During subchronic exposure to this toxin, preneoplastic lesions in liver along with changes in spleen, intestine, gill and pancreas were recorded. With low doses of aflatoxin, the fish did not reveal any mortality or external signs other than catchexia and increased pigmentation on scales. In composite culture practice of Indian major carps, this could be of economic significance.     

Leishmanicidal activity of stearylamine-bearing liposomes in vitro

Liposomes consisting of stearylamine (SA) and egg yolk phosphatidylcholine (PC) were studied for their cytotoxic activity against freshly transformed promastigotes and intracellular amastigotes of Leishmania donovani, the causative agent of visceral leishmaniasis. More than 99% of the parasites of strain AG83 were killed within 60 min by treatment with 22 mol% SA-PC liposomes (132 microg/ml total lipids). This was further confirmed by incubating the liposome-treated promastigotes at 22 C for 96 hr. The killing activity of the liposomes progressively decreased with lowering lipid concentration. However, weak cytotoxic activity was still detected at 6.6 microg/ml lipids. Leishmanicidal activity of the liposomes became stronger with increasing SA content but was reduced with the incorporation of cholesterol in the liposomes. A similar cytotoxic effect was observed on other Indian strains of L. donovani, for example PKDL and DD8, as well as on species such as Leishmania donovani S1, Leishmania donovani infantum, Leishmania tropica, Leishmania amazonensis, and Leishmania mexicana. However, freshly transformed promastigotes appeared to be more susceptible than the ones subcultured. The strong leishmanicidal activity of SA-PC liposomes was also demonstrated toward intracellular L. donovani amastigotes. The SA-bearing vesicles could effectively inhibit the growth and multiplication of the parasites within the macrophages. The cytolytic activity of these liposomes on leishmanial parasites and low toxicity on host macrophages may, thus, find application in the therapy of leishmaniasis.     

Exploring the interaction of some N-benzyloxycarbonyl-L-phenyl alanyl-L-alanine ketones and bovine spleen cathepsin B by molecular modeling and binding free energy calculation

A semi-empirical method for estimation of binding free energy, recently proposed by Aqvist and coworkers, has been effectively tested in several protein-ligand binding cases. We have applied this linear interaction energy method to predict the binding of some N-benzyloxycarbonyl-L-phenyl alanyl-L-alanine ketones with bovine cathepsin B and computed the respective absolute binding constants from averages of molecular dynamics simulations. It is found that the computer simulation results agree well with available experimental data and make it possible to understand better the origin of tight binding and inhibitor specificity of cathepsin B.