False discoveries and models for gene discovery

In the search for genes underlying complex traits, there is a tendency to impose increasingly stringent criteria to avoid false discoveries. These stringent criteria make it hard to find true effects, and we argue that it might be better to optimize our procedures for eliminating and controlling false discoveries. Focusing on achieving an acceptable ratio of true- and false-positives, we show that false discoveries could be eliminated much more efficiently using a stepwise approach. To avoid a relatively high false discovery rate, corrections for 'multiple testing' might also be needed in candidate gene studies. If the appropriate methods are used, detecting the proportion of true effects appears to be a more important determinant of the genotyping burden than the desired false discovery rate. This raises the question of whether current models for gene discovery are shaped excessively by a fear of false discoveries.     

Temporal graphical models for cross-species gene regulatory network discovery

Many genes and biological processes function in similar ways across different species. Cross-species gene expression analysis, as a powerful tool to characterize the dynamical properties of the cell, has found a number of applications, such as identifying a conserved core set of cell cycle genes. However, to the best of our knowledge, there is limited effort on developing appropriate techniques to capture the causality relations between genes from time-series microarray data across species. In this paper, we present hidden Markov random field regression with L(1) penalty to uncover the regulatory network structure for different species. The algorithm provides a framework for sharing information across species via hidden component graphs and is able to incorporate domain knowledge across species easily. We demonstrate our method on two synthetic datasets and apply it to discover causal graphs from innate immune response data.     

Amyotrophic lateral sclerosis: an emerging era of collaborative gene discovery

Amyotrophic lateral sclerosis (ALS) is the most common form of motor neuron disease (MND). It is currently incurable and treatment is largely limited to supportive care. Family history is associated with an increased risk of ALS, and many Mendelian causes have been discovered. However, most forms of the disease are not obviously familial. Recent advances in human genetics have enabled genome-wide analyses of single nucleotide polymorphisms (SNPs) that make it possible to study complex genetic contributions to human disease. Genome-wide SNP analyses require a large sample size and thus depend upon collaborative efforts to collect and manage the biological samples and corresponding data. Public availability of biological samples (such as DNA), phenotypic and genotypic data further enhances research endeavors. Here we discuss a large collaboration among academic investigators, government, and non-government organizations which has created a public repository of human DNA, immortalized cell lines, and clinical data to further gene discovery in ALS. This resource currently maintains samples and associated phenotypic data from 2332 MND subjects and 4692 controls. This resource should facilitate genetic discoveries which we anticipate will ultimately provide a better understanding of the biological mechanisms of neurodegeneration in ALS.     

The role of phenotype in gene discovery in the whole genome sequencing era

As whole genome sequence becomes a routine component of gene discovery studies in humans, we will have an exhaustive catalog of genetic variation and the challenge becomes understanding the phenotypic consequences of these variants. Statistical genetic methods and analytical approaches that are concerned with optimizing phenotypes for gene discovery for complex traits offer two general categories of advantages. They may increase power to localize genes of interest and also aid in interpreting associations between genetic variants and disease outcomes by suggesting potential mechanisms and pathways through which genes may affect outcomes. Such phenotype optimization approaches include use of allied phenotypes such as symptoms or ages of onset to reduce genetic heterogeneity within a set of cases, study of quantitative risk factors or endophenotypes, joint analyses of related phenotypes, and derivation of new phenotypes designed to extract independent measures underlying the correlations among a set of related phenotypes through approaches such as principal components. New opportunities are also presented by technological advances that permit efficient collection of hundreds or thousands of phenotypes on an individual, including phenotypes more proximal to the level of gene action such as levels of gene expression, microRNAs, or metabolic and proteomic profiles.     

The discovery and role of ADAM33, a new candidate gene for asthma

Asthma is a complex disorder in which major genetic and environmental factors interact to initiate the disease and propagate it as a chronic relapsing disorder. Until recently, genetic factors implicated in the disease pathogenesis have been restricted to variants in known molecules involved in the inflammatory or remodelling pathways. This review discusses evidence for a new susceptibility gene for asthma, ADAM33, which was identified by positional cloning and shown to be selectively expressed in mesenchymal but not immune or inflammatory cells. ADAM33 belongs to a family of membrane-anchored metalloproteinases that also have fusagenic, adhesion and intracellular signalling properties. ADAM33 might play a key role in predisposing to the reduced lung function characteristic of asthma, possibly by influencing airway wall remodelling.     

The emerging role of microRNAs in asthma

Asthma is a common chronic airways disease that worldwide affects people from all ethnic backgrounds. MicroRNAs (miRNAs) are small non-coding RNAs of 18-25 nucleotides that have been shown to regulate gene expression via the RNA interference pathway and found to play fundamental roles in diverse biological and pathological processes. Intriguingly, changes in the expression of several miRNAs are associated with development of asthma. In this review, we summarize the current understanding of the role of miRNAs in asthma to both better understand the pathogenesis of this disease and aid in the formulation of more effective therapeutic strategies.     

The role of combichem in antibiotic discovery

Combinatorial chemistry (combichem) has had a significant impact on the discovery of new antibiotics. Most of the successes have come from the use of small libraries to explore a specific pharmacophore. However, large diverse libraries are more appropriate when identifying hits by screening specific bacterial or fungal targets. Combichem has been used to optimize new azole and oxazolidinone leads. An entirely new class of antibiotics, inhibitors of bacterial peptidyl-deformylase, has been discovered by combining mechanism-based drug design and combichem. These compounds are active in vivo. The impact of combichem on discovery projects that aim to develop new antibiotics for the treatment of infectious diseases is discussed.     

The emerging role for bacteria in lignin degradation and bio-product formation

The microbial degradation of lignin has been well studied in white-rot and brown-rot fungi, but is much less well studied in bacteria. Recent published work suggests that a range of soil bacteria, often aromatic-degrading bacteria, are able to break down lignin. The enzymology of bacterial lignin breakdown is currently not well understood, but extracellular peroxidase and laccase enzymes appear to be involved. There are also reports of aromatic-degrading bacteria isolated from termite guts, though there are conflicting reports on the ability of termite gut micro-organisms to break down lignin. If biocatalytic routes for lignin breakdown could be developed, then lignin represents a potentially rich source of renewable aromatic chemicals.     

The emerging role of ICP-MS in proteomic analysis

Quantitative proteomics and absolute determination of proteins are topics of fast growing interest, since only the quantity of proteins or changes in their abundance reflect the status and extent of changes of a given biological system. Quantification of the desired proteins has been carried out by molecule specific MS techniques, but relative quantifications are commonplace so far even resorting to stable isotope labelling techniques such as ICAT and SILAC. In the last decade the idea of using element-selective mass spectrometric detection (e.g. ICP-MS instruments) to achieve absolute quantification has been realised and ICP-MS stands now as a new tool in the field of quantitative proteomics.In this review the emerging role of ICP-MS in protein and proteomic analysis is highlighted. The potential of ICP-MS methods and strategies for screening multiple heteroatoms (e.g. S, P, Se, metals) in proteins and their mixtures and extraordinary capabilities to tackle the problem of absolute protein quantifications, via heteroatom determinations, are discussed and illustrated. New avenues are also open derived from the use of ICP-MS for precise isotope abundance measurements in polyisotopic heteroatoms. The “heteroatom (isotope)-tagged proteomics” concept is focused on the use of naturally present element tags and also extended to any protein by resorting to bioconjugation reactions (i.e. labelling sought proteins and peptides with ICP-MS detectable heteroatoms). A major point of this review is displaying the possibilities of using a “hard” ion source, the ICP, to complement well-established “soft” ion sources for mass spectrometry to tackle present proteomic analysis.     

The emerging role of ferroptosis in intestinal disease

Ferroptosis is a newly recognised type of regulated cell death (RCD) characterised by iron-dependent accumulation of lipid peroxidation. It is significantly distinct from other RCDs at the morphological, biochemical, and genetic levels. Recent reports have implicated ferroptosis in multiple diseases, including neurological disorders, kidney injury, liver diseases, and cancer. Ferroptotic cell death has also been associated with dysfunction of the intestinal epithelium, which contributes to several intestinal diseases. Research on ferroptosis may provide a new understanding of intestinal disease pathogenesis that benefits clinical treatment. In this review, we provide an overview of ferroptosis and its underlying mechanisms, then describe its emerging role in intestinal diseases, including intestinal ischaemia/reperfusion (I/R) injury, inflammatory bowel disease (IBD), and colorectal cancer (CRC).Subject terms: Cell death, Intestinal diseases     

The emerging role of cystatins in Alzheimer's disease

Recently opposing effects of cysteine protease inhibitors, the human cystatins, on neurodegeneration have been reported. Human cystatin C is a risk factor for late‐onset Alzheimer's disease (AD), whereas human stefin B (cystatin B) has no direct involvement in AD. Conflicting data show that their target protease, cathepsin B, might be anti‐amyloidogenic, helping in amyloid‐beta (Aβ) clearance or, instead, might be involved in Aβ production. Some reports claim that cystatin C binds soluble Aβ, making transgenic animals healthier, others, in contrast, that deleting cystatins genes may contribute to amyloid pathology in animal models of AD.     

The emerging role of platelets in adaptive immunity

Platelets' foremost role in survival is hemostasis. However, a significant quantity of research has demonstrated that platelets are an integral part of inflammation and can also be potent effector cells of the innate immune response. CD154, a molecule of vital importance to adaptive immune responses, is expressed by activated platelets and has been implicated in platelet-mediated modulation of innate immunity and inflammatory disease states. Recent studies in mice extend the role of platelet CD154 to the adaptive immune response demonstrating that platelets can enhance antigen presentation, improve CD8 T cell responses, and play a critical function in normal T-dependent humoral immunity. The latter studies suggest that the current paradigm for the B cell germinal center response should be modified to include a role for platelets.