Tracing the serendipitous genesis of radiation resistance.

Free-living organisms frequently encounter unfavorable abiotic environmental factors. Those who adapt and cope with sudden changes in the external environment survive. Desiccation is one of the most common and frequently encountered stresses in nature. On the contrary, ionizing radiations are limited to high local concentrations of naturally occurring radioactive materials and related anthropogenic activities. Yet, resistance to high doses of ionizing radiation is evident across the tree of life. The evolution of desiccation resistance has been linked to the evolution of ionizing radiation resistance, although, evidence to support the idea that the evolution of desiccation tolerance is a necessary precursor to ionizing radiation resistance is lacking. Moreover, the presence of radioresistance in hyperthermophiles suggests multiple paths lead to radiation resistance. In this minireview, we focus on the molecular aspects of damage dynamics and damage response pathways comprising protective and restorative functions with a definitive survival advantage, to explore the serendipitous genesis of ionizing radiation resistance.

Application of Machine Learning in Predicting Hepatic Metastasis or Primary Site in Gastroenteropancreatic Neuroendocrine Tumors.

Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) account for 80% of gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs). GEP-NETs are well-differentiated tumors, highly heterogeneous in biology and origin, and are often diagnosed at the metastatic stage. Diagnosis is commonly through clinical symptoms, histopathology, and PET-CT imaging, while molecular markers for metastasis and the primary site are unknown. Here, we report the identification of multi-gene signatures for hepatic metastasis and primary sites through analyses on RNA-SEQ datasets of pancreatic and small intestinal NETs tissue samples. Relevant gene features, identified from the normalized RNA-SEQ data using the mRMRe algorithm, were used to develop seven Machine Learning models (LDA, RF, CART, k-NN, SVM, XGBOOST, GBM). Two multi-gene random forest (RF) models classified primary and metastatic samples with 100% accuracy in training and test cohorts and >90% accuracy in an independent validation cohort. Similarly, three multi-gene RF models identified the pancreas or small intestine as the primary site with 100% accuracy in training and test cohorts, and >95% accuracy in an independent cohort. Multi-label models for concurrent prediction of hepatic metastasis and primary site returned >98.42% and >87.42% accuracies on training and test cohorts, respectively. A robust molecular signature to predict liver metastasis or the primary site for GEP-NETs is reported for the first time and could complement the clinical management of GEP-NETs.

Deinococcus lineage and Rad52 family-related protein DR0041 is involved in DNA protection and compaction.

DR0041 ORF encodes an uncharacterized Deinococcus lineage protein. We earlier reported presence of DR0041 protein in DNA repair complexes of Ssb and RecA in Deinococcus radiodurans. Here, we systematically examined the role of DR0041 in DNA metabolism using various experimental methodologies including electrophoretic mobility assays, nuclease assays, strand exchange assays and transmission electron microscopy. Interaction between DR0041 and the C-terminal acidic tail of Ssb was assessed through co-expression and in vivo cross-linking studies. A knockout mutant was constructed to understand importance of DR0041 ORF for various physiological processes. Results highlight binding of DR0041 protein to single-stranded and double-stranded DNA, interaction with Ssb-coated single-stranded DNA without interference with RecA-mediated strand exchange, protection of DNA from exonucleases, and compaction of high molecular weight DNA molecules into tightly condensed forms. Bridging and compaction of sheared DNA by DR0041 protein might have implications in the preservation of damaged DNA templates to maintain genome integrity upon exposure to gamma irradiation. Our results suggest that DR0041 protein is dispensable for growth under standard growth conditions and following gamma irradiation but contributes to protection of DNA during transformation. We discuss the role of DR0041 protein from the perspective of protection of broken DNA templates and functional redundancy.

An in vivo Interaction Network of DNA-Repair Proteins: A Snapshot at Double Strand Break Repair in Deinococcus radiodurans.

An extremophile Deinococcus radiodurans survives massive DNA damage by efficiently mending hundreds of double strand breaks through homology-dependent DNA repair pathways. Although DNA repair proteins that contribute to its impressive DNA repair capacity are fairly known, interactions among them or with proteins related to other relevant pathways remain unexplored. Here, we report in vivo cross-linking of the interactomes of key DNA repair proteins DdrA, DdrB, RecA, and Ssb (baits) in D. radiodurans cells recovering from gamma irradiation. The protein-protein interactions were systematically investigated through co-immunoprecipitation experiments coupled to mass spectrometry. From a total of 399 proteins co-eluted with the baits, we recovered interactions among diverse biological pathways such as DNA repair, transcription, translation, chromosome partitioning, cell division, antioxidation, protein folding/turnover, metabolism, cell wall architecture, membrane transporters, and uncharacterized proteins. Among these, about 80 proteins were relevant to the DNA damage resistance of the organism based on integration of data on inducible expression following DNA damage, radiation sensitive phenotype of deletion mutant, etc. Further, we cloned ORFs of 23 interactors in heterologous E. coli and expressed corresponding proteins with N-terminal His-tag, which were used for pull-down assays. A total of 95 interactions were assayed, in which we confirmed 25 previously unknown binary interactions between the proteins associated with radiation resistance, and 2 known interactions between DdrB and Ssb or DR_1245. Among these, five interactions were positive even under non-stress conditions. The confirmed interactions cover a wide range of biological processes such as DNA repair, negative regulation of cell division, chromosome partitioning, membrane anchorage, etc., and their functional relevance is discussed from the perspective of DNA repair. Overall, the study substantially advances our understanding on the cross-talk between different homology-dependent DNA repair pathways and other relevant biological processes that essentially contribute to the extraordinary DNA damage repair capability of D. radiodurans. The data sets generated and analyzed in this study have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the data set identifier PXD021822.

Pleiotropic effects of a cold shock protein homolog PprM on the proteome of Deinococcus radiodurans.

An extremophile D. radiodurans encodes a non-cold shock inducible cold shock protein homolog DR_0907 (also known as PprM). The DR_0907 ORF was deleted by knockout mutagenesis and the resultant deletion mutant (ΔpprM D. radiodurans) displayed growth defect as well as gamma-radiation sensitivity (D10 values = ΔpprM D. radiodurans: 12.1 kGy versus wild type (WT) D. radiodurans: 14 kGy). 2D gel based comparative proteomics revealed a comparable induction of DNA repair proteins in ΔpprM D. radiodurans and WT D. radiodurans recovering from 5 kGy gamma irradiation (60Co gamma source, dose rate: 2 kGy/h), suggesting that pprM does not cause radiation sensitivity through modulation of DdrO-regulated DNA repair genes. However, deletion of pprM did result in repression of several proteins that belonged to vital housekeeping pathways such as metabolism and protein homeostasis that might contribute to slow growth phenotype. These deficiencies intrinsic to ΔpprM D. radiodurans might also contribute to its radiation sensitivity.

Proteome dynamics during post-desiccation recovery reveal convergence of desiccation and gamma radiation stress response pathways in Deinococcus radiodurans.

Deinococcus radiodurans is inherently resistant to both ionizing radiation and desiccation. Fifteen months of desiccation was found to be the LD50 dose for D. radiodurans. Desiccated cells of D. radiodurans entered 6h of growth arrest during post-desiccation recovery (PDR). Proteome dynamics during PDR were mapped by resolving cellular proteins by 2-dimensional gel electrophoresis coupled with mass spectrometry. At least 41 proteins, represented by 51 spots on proteome profiles, were differentially expressed throughout PDR. High upregulation in expression was observed for DNA repair proteins involved in single strand annealing (DdrA and DdrB), nucleotide excision repair (UvrA and UvrB), homologous recombination (RecA) and other vital proteins that contribute to DNA replication, recombination and repair (Ssb, GyrA and GyrB). Expression of CRP/FNR family transcriptional regulator (Crp) remained high throughout PDR. Other pathways such as cellular detoxification, protein homeostasis and metabolism displayed both, moderately induced and repressed proteins. Functional relevance of proteomic modulations to surviving desiccation stress is discussed in detail. Comparison of our data with the published literature revealed convergence of radiation and desiccation stress responses of D. radiodurans. This is the first report that substantiates the hypothesis that the radiation stress resistance of D. radiodurans is incidental to its desiccation stress resistance.

Developmental proteome dynamics of silk glands in the 5th instar larval stage of Bombyx mori L (CSR2×CSR4).

UNLABELLED: Bivoltine breed of Bombyx mori (B. mori), CSR2×CSR4 is an Indian high yielding silkworm strain. Silk gland proteome of this strain was not studied till now. Methods of improving silk production by chemical approaches have reached saturation and transgenic methods are needed in further to boost silk production. An understanding of proteomic changes during silk gland development helps in designing experiments to enhance silk production by transgenic approaches. The present study reports comprehensive developmental proteomic analysis of CSR2×CSR4, 5th instar whole silk glands. Eighty six unique protein IDs were obtained from the analysis of one hundred and twenty protein spots. Among the identified proteins, majority of the proteins were involved in metabolism (41%) followed by proteins involved in protein homeostasis (30%). Sixty percent of the identified proteins showed dynamic nature by expression analysis from day 1, day 3, day 5 and day 7 gels. In comparison to the published data till now on silk gland proteomics this study reports identification of 20 new proteins from the silk glands for the first time. SIGNIFICANCE: The paper reports for the first time proteomic analysis of high yielding silkworm strain of India. The study analyzes whole silk glands to understand the tissue in total during 5th instar development. Lowering fibroin content made us to identify a large number of new proteins which were not reported till now in the silk gland proteome. Proteins which are involved in silk synthesis and release were found to be developmentally regulated. The study identified alanine, serine and glycine tRNA ligases for the first time and also showed their up-regulation on day 7 of 5th instar larval stage. The amino acid repeat of fibroin protein is enriched with the three amino acids, glycine, serine and alanine. The identified proteins could be studied further to understand their functional role in-depth.

Comprehensive logic based analyses of Toll-like receptor 4 signal transduction pathway.

Among the 13 TLRs in the vertebrate systems, only TLR4 utilizes both Myeloid differentiation factor 88 (MyD88) and Toll/Interleukin-1 receptor (TIR)-domain-containing adapter interferon-ß-inducing Factor (TRIF) adaptors to transduce signals triggering host-protective immune responses. Earlier studies on the pathway combined various experimental data in the form of one comprehensive map of TLR signaling. But in the absence of adequate kinetic parameters quantitative mathematical models that reveal emerging systems level properties and dynamic inter-regulation among the kinases/phosphatases of the TLR4 network are not yet available. So, here we used reaction stoichiometry-based and parameter independent logical modeling formalism to build the TLR4 signaling network model that captured the feedback regulations, interdependencies between signaling kinases and phosphatases and the outcome of simulated infections. The analyses of the TLR4 signaling network revealed 360 feedback loops, 157 negative and 203 positive; of which, 334 loops had the phosphatase PP1 as an essential component. The network elements' interdependency (positive or negative dependencies) in perturbation conditions such as the phosphatase knockout conditions revealed interdependencies between the dual-specific phosphatases MKP-1 and MKP-3 and the kinases in MAPK modules and the role of PP2A in the auto-regulation of Calmodulin kinase-II. Our simulations under the specific kinase or phosphatase gene-deficiency or inhibition conditions corroborated with several previously reported experimental data. The simulations to mimic Yersinia pestis and E. coli infections identified the key perturbation in the network and potential drug targets. Thus, our analyses of TLR4 signaling highlights the role of phosphatases as key regulatory factors in determining the global interdependencies among the network elements; uncovers novel signaling connections; identifies potential drug targets for infections.