HAT: Hypergeometric Analysis of Tiling-arrays with application to promoter-GeneChip data

Background  

Tiling-arrays are applicable to multiple types of biological research questions. Due to its advantages (high sensitivity, resolution, unbiased), the technology is often employed in genome-wide investigations. A major challenge in the analysis of tiling-array data is to define regions-of-interest, i.e., contiguous probes with increased signal intensity (as a result of hybridization of labeled DNA) in a region. Currently, no standard criteria are available to define these regions-of-interest as there is no single probe intensity cut-off level, different regions-of-interest can contain various numbers of probes, and can vary in genomic width. Furthermore, the chromosomal distance between neighboring probes can vary across the genome among different arrays.     

Genetic markers of ovarian follicle number and menopause in women of multiple ethnicities

Oocyte loss has a significant impact on fertility and somatic health. Yet, we know little about factors that impact this process. We sought to identify genetic variants associated with ovarian reserve (oocyte number as measured by antral follicle count, AFC). Based on recently published genome-wide scans that identified loci associated with age of menopause, we also sought to test our hypothesis that follicle number and menopausal age share underlying genetic associations. We analyzed menopause-related variants for association with follicle number in an independent population of approximately 450 reproductive-aged women of European and African ancestry; these women were assessed for AFC, anthropometric, clinical, and lifestyle factors. One SNP strongly associated with later menopausal age in Caucasian women (+1.07?±?0.11?years) in previous work was also associated with higher follicle counts in Caucasians (+2.79?±?1.67 follicles) in our study. This variant is within the Minichromosome Maintenance Complex Component 8 (MCM8) gene, which we found was expressed within oocytes in follicles of the human ovary. In genome-wide scans of AFC, we also identified one marginally genome-wide and several nominally significant SNPs within several other genes associated with follicle number in both ethnic groups. Further, there were overlapping variants associated with multiple ovarian reserve markers (AFC, serum hormone levels, menopausal age). This study provides the first evidence for direct genetic associations underlying both follicle number and menopause and identifies novel candidate genes. Genetic variants associated with ovarian reserve may facilitate discovery of genetic markers to predict reproductive health and lifespan in women.     

Detection of amino acids in artificial nectars by two tropical ants,Leptothorax and Monomorium

Summary Many ants forage at extrafloral nectar on plants and provide the plant with some measure of protection from herbivory. These nectars contain sugars, amino acids and, often, other compounds. The role of amino acids in attracting ants to extrafloral nectars was studied by baiting with Karo-syrup-based solutions. Control (without amino acids) and experimental (with amino acids) solutions were placed in second growth forest in Trinidad, W.I. The number of ants visiting the solutions was counted at fiveminute intervals for 45 min. In tests of solutions with only one amino acid, both Leptothorax sp. and Monomorium sp. visited solutions with alanine, arginine, serine, cysteine, methionine or aspartic acid more frequently than sugaronly controls. Monomorium preferred control solutions to tyrosine solutions; Leptothorax preferred control solutions to histidine solutions. Leptothorax did not discriminate between control and tyrosine solutions; Monomorium did not discriminate between control and histidine solutions. However, in six of eight tests of combinations of amino acids, ants visited control solutions more frequently than experimental solutions. These results suggest that ants can act as selective agents, favoring plants with particular amino acids in their nectars.     

The carbohydrate-binding domain of overexpressed STBD1 is important for its stability and protein–protein interactions

STBD1 (starch-binding domain-containing protein 1) belongs to the CBM20 (family 20 carbohydrate binding module) group of proteins, and is implicated in glycogen metabolism and autophagy. However, very little is known about its regulation or interacting partners. Here, we show that the CBM20 of STBD1 is crucial for its stability and ability to interact with glycogen-associated proteins. Mutation of a conserved tryptophan residue (W293) in this domain abolished the ability of STBD1 to bind to the carbohydrate amylose. Compared with the WT (wild-type) protein, this mutant exhibited rapid degradation that was rescued upon inhibition of the proteasome. Furthermore, STBD1 undergoes ubiquitination when expressed in COS cells, and requires the N-terminus for this process. In contrast, inhibition of autophagy did not significantly affect protein stability. In overexpression experiments, we discovered that STBD1 interacts with several glycogen-associated proteins, such as GS (glycogen synthase), GDE (glycogen debranching enzyme) and Laforin. Importantly, the W293 mutant of STBD1 was unable to do so, suggesting an additional role for the CBM20 domain in protein–protein interactions. In HepG2 hepatoma cells, overexpressed STBD1 could associate with endogenous GS. This binding increased during glycogenolysis, suggesting that glycogen is not required to bridge this interaction. Taken together, our results have uncovered new insights into the regulation and binding partners of STBD1.     

Nonpeptide HIV protease inhibitors designed to replace a bound water

Cyclic nonpeptide molecules were designed and synthesized with the goal of displacing the conserved flap-associated water of HIV-1 protease. Several such molecules were competitive inhibitors with micromolar inhibition constants, and their structure-activity relationships were consistent with the design hypothesis.     

Fractionation of soluble proteins in Escherichia coli using DEAE-, SP-, and phenyl sepharose chromatographies.

In an effort to simplify a complex mixture of soluble proteins from Escherichia coli, methods to fractionate the samples prior to two-dimensional (2D) gel electrophoresis were developed. These methods involve the use of DEAE-Sepharose, SP-Sepharose, and phenyl Sepharose chromatographic columns and the fractionation of the protein mixtures based on differential anionic, cationic, and hydrophobic properties of the proteins, respectively. Fractionation of the soluble proteins from an E. coli extract with DEAE-Sepharose resulted in a threefold increase in the number of detectable 2D gel spots. These gel spots were amenable to protein identification by using in-gel trypsin digestions, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry, and peptide mass fingerprinting. Significantly, the DEAE-Sepharose column fractionation effectively partitioned the soluble proteins from the cell extracts. Similarly, an SP-Sepharose column was used to fractionate the soluble proteins from E. coli and resulted in over a twofold increase in the number of detectable gel spots. Lastly, fractionation of the cell extract with the phenyl Sepharose column resulted in a threefold increase in the number of detectable 2D gel spots. This work describes an easy, inexpensive way to fractionate the soluble proteins in E. coli and a way to better profile the E. coli proteome.