Combining Shapley value and statistics to the analysis of gene expression data in children exposed to air pollution

<p>Abstract</p> <p>Background</p> <p>In gene expression analysis, statistical tests for differential gene expression provide lists of candidate genes having, individually, a sufficiently low <it>p</it>-value. However, the interpretation of each single <it>p</it>-value within complex systems involving several interacting genes is problematic. In parallel, in the last sixty years, <it>game theory </it>has been applied to political and social problems to assess the power of interacting agents in forcing a decision and, more recently, to represent the relevance of genes in response to certain conditions.</p> <p>Results</p> <p>In this paper we introduce a Bootstrap procedure to test the null hypothesis that each gene has the same relevance between two conditions, where the relevance is represented by the Shapley value of a particular coalitional game defined on a microarray data-set. This method, which is called <it>Comparative Analysis of Shapley value </it>(shortly, CASh), is applied to data concerning the gene expression in children differentially exposed to air pollution. The results provided by CASh are compared with the results from a parametric statistical test for testing differential gene expression. Both lists of genes provided by CASh and t-test are informative enough to discriminate exposed subjects on the basis of their gene expression profiles. While many genes are selected in common by CASh and the parametric test, it turns out that the biological interpretation of the differences between these two selections is more interesting, suggesting a different interpretation of the main biological pathways in gene expression regulation for exposed individuals. A simulation study suggests that CASh offers more power than t-test for the detection of differential gene expression variability.</p> <p>Conclusion</p> <p>CASh is successfully applied to gene expression analysis of a data-set where the joint expression behavior of genes may be critical to characterize the expression response to air pollution. We demonstrate a synergistic effect between coalitional games and statistics that resulted in a selection of genes with a potential impact in the regulation of complex pathways.</p

Sexual dimorphism in cancer.

The incidence of many types of cancer arising in organs with non-reproductive functions is significantly higher in male populations than in female populations, with associated differences in survival. Occupational and/or behavioural factors are well-known underlying determinants. However, cellular and molecular differences between the two sexes are also likely to be important. In this Opinion article, we focus on the complex interplay that sex hormones and sex chromosomes can have in intrinsic control of cancer-initiating cell populations, the tumour microenvironment and systemic determinants of cancer development, such as the immune system and metabolism. A better appreciation of these differences between the two sexes could be of substantial value for cancer prevention as well as treatment

Search for gravitational waves associated with gamma-ray bursts detected by Fermi and Swift during the LIGO–Virgo run O3b

We search for gravitational-wave signals associated with gamma-ray bursts (GRBs) detected by the Fermi and Swift satellites during the second half of the third observing run of Advanced LIGO and Advanced Virgo (2019 November 1 15:00 UTC–2020 March 27 17:00 UTC). We conduct two independent searches: a generic gravitational-wave transients search to analyze 86 GRBs and an analysis to target binary mergers with at least one neutron star as short GRB progenitors for 17 events. We find no significant evidence for gravitational-wave signals associated with any of these GRBs. A weighted binomial test of the combined results finds no evidence for subthreshold gravitational-wave signals associated with this GRB ensemble either. We use several source types and signal morphologies during the searches, resulting in lower bounds on the estimated distance to each GRB. Finally, we constrain the population of low-luminosity short GRBs using results from the first to the third observing runs of Advanced LIGO and Advanced Virgo. The resulting population is in accordance with the local binary neutron star merger rate

Surface reengineering of RPA70N enables cocrystallization with an inhibitor of the replication protein a interaction motif of ATR interacting protein

Replication protein A (RPA) is the primary single-stranded DNA (ssDNA) binding protein in eukaryotes. The N-terminal domain of the RPA70 subunit (RPA70N) interacts via a basic cleft with a wide range of DNA processing proteins, including several that regulate DNA damage response and repair. Small molecule inhibitors that disrupt these protein-protein interactions are therefore of interest as chemical probes of these critical DNA processing pathways and as inhibitors to counter the upregulation of DNA damage response and repair associated with treatment of cancer patients with radiation or DNA-damaging agents. Determination of three-dimensional structures of protein-ligand complexes is an important step for elaboration of small molecule inhibitors. However, although crystal structures of free RPA70N and an RPA70N-peptide fusion construct have been reported, RPA70N-inhibitor complexes have been recalcitrant to crystallization. Analysis of the P6&lt;sub&gt;1&lt;/sub&gt; lattice of RPA70N crystals led us to hypothesize that the ligand-binding surface was occluded. Surface reengineering to alter key crystal lattice contacts led to the design of RPA70N E7R, E100R, and E7R/E100R mutants. These mutants crystallized in a P2&lt;sub&gt;1&lt;/sub&gt;2&lt;sub&gt;1&lt;/sub&gt;2&lt;sub&gt;1&lt;/sub&gt; lattice that clearly had significant solvent channels open to the critical basic cleft. Analysis of X-ray crystal structures, target peptide binding affinities, and &lt;sup&gt;15&lt;/sup&gt;N-&lt;sup&gt;1&lt;/sup&gt;H heteronuclear single-quantum coherence nuclear magnetic resonance spectra showed that the mutations do not result in perturbations of the RPA70N ligand-binding surface. The success of the design was demonstrated by determining the structure of RPA70N E7R soaked with a ligand discovered in a previously reported molecular fragment screen. A fluorescence anisotropy competition binding assay revealed this compound can inhibit the interaction of RPA70N with the peptide binding motif from the DNA damage response protein ATRIP. The implications of the results are discussed in the context of ongoing efforts to design RPA70N inhibitors. 2013 American Chemical Societ

Discovery of protein-protein interaction inhibitors of replication protein A

Replication protein A (RPA) is a ssDNA binding protein that is essential for DNA replication and repair. The initiation of the DNA damage response by RPA is mediated by protein-protein interactions involving the N-terminal domain of the 70 kDa subunit with partner proteins. Inhibition of these interactions increases sensitivity toward DNA damage and replication stress and may therefore be a potential strategy for cancer drug discovery. Toward this end, we have discovered two lead series of compounds, derived from hits obtained from a fragment-based screen, that bind to RPA70N with low micromolar affinity and inhibit the binding of an ATRIP-derived peptide to RPA. These compounds may offer a promising starting point for the discovery of clinically useful RPA inhibitors. 2013 American Chemical Societ

Discovery of a potent inhibitor of replication protein A protein-protein interactions using a fragment-linking approach

Replication protein A (RPA), the major eukaryotic single-stranded DNA (ssDNA)-binding protein, is involved in nearly all cellular DNA transactions. The RPA N-terminal domain (RPA70N) is a recruitment site for proteins involved in DNA-damage response and repair. Selective inhibition of these protein-protein interactions has the potential to inhibit the DNA-damage response and to sensitize cancer cells to DNA-damaging agents without affecting other functions of RPA. To discover a potent, selective inhibitor of the RPA70N protein-protein interactions to test this hypothesis, we used NMR spectroscopy to identify fragment hits that bind to two adjacent sites in the basic cleft of RPA70N. High-resolution X-ray crystal structures of RPA70N-ligand complexes revealed how these fragments bind to RPA and guided the design of linked compounds that simultaneously occupy both sites. We have synthesized linked molecules that bind to RPA70N with submicromolar affinity and minimal disruption of RPA's interaction with ssDNA. 2013 American Chemical Societ

The class of microarray games and the relevance index for genes

Coalitional game, Shapley value, Power index, Gene expression, Microarray, 91A12, 91A80, 92B15, 92C40,