56 research outputs found

    Inorganic phosphate, arsenate, and vanadate enhance exonuclease transcript cleavage by RNA polymerase by 2000-fold

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    Inorganic Pi is involved in all major biochemical pathways. Here we describe a previously unreported activity of Pi. We show that Pi and its structural mimics, vanadate and arsenate, enhance nascent transcript cleavage by RNA polymerase (RNAP). They engage an Mg2+ ion in catalysis and activate an attacking water molecule. Pi, vanadate, and arsenate stimulate the intrinsic exonuclease activity of the enzyme nearly 2,000-fold at saturating concentrations of the reactant anions and Mg2+. This enhancement is comparable to that of specialized transcript cleavage protein factors Gre and TFIIS (3,000- to 4,000-fold). Unlike these protein factors, Pi and its analogs do not stimulate endonuclease transcript cleavage. Conversely, the protein factors only marginally enhance exonucleolytic cleavage. Pi thus complements cellular protein factors in assisting hydrolytic RNA cleavage by extending the repertoire of RNAP transcript degradation modes

    Identifying water stress-response mechanisms in citrus by in silico transcriptome analysis

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    The genetic architecture of type 2 diabetes

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    The genetic architecture of common traits, including the number, frequency, and effect sizes of inherited variants that contribute to individual risk, has been long debated. Genome-wide association studies have identified scores of common variants associated with type 2 diabetes, but in aggregate, these explain only a fraction of heritability. To test the hypothesis that lower-frequency variants explain much of the remainder, the GoT2D and T2D-GENES consortia performed whole genome sequencing in 2,657 Europeans with and without diabetes, and exome sequencing in a total of 12,940 subjects from five ancestral groups. To increase statistical power, we expanded sample size via genotyping and imputation in a further 111,548 subjects. Variants associated with type 2 diabetes after sequencing were overwhelmingly common and most fell within regions previously identified by genome-wide association studies. Comprehensive enumeration of sequence variation is necessary to identify functional alleles that provide important clues to disease pathophysiology, but large-scale sequencing does not support a major role for lower-frequency variants in predisposition to type 2 diabetes

    Structure and nucleic acid binding properties of KOW domains 4 and 6–7 of human transcription elongation factor DSIF

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    The human transcription elongation factor DSIF is highly conserved throughout all kingdoms of life and plays multiple roles during transcription. DSIF is a heterodimer, consisting of Spt4 and Spt5 that interacts with RNA polymerase II (RNAP II). DSIF binds to the elongation complex and induces promoter-proximal pausing of RNAP II. Human Spt5 consists of a NusG N-terminal (NGN) domain motif, which is followed by several KOW domains. We determined the solution structures of the human Spt5 KOW4 and the C-terminal domain by nuclear magnetic resonance spectroscopy. In addition to the typical KOW fold, the solution structure of KOW4 revealed an N-terminal four-stranded β-sheet, previously designated as the KOW3-KOW4 linker. In solution, the C-terminus of Spt5 consists of two β-barrel folds typical for KOW domains, designated KOW6 and KOW7. We also analysed the nucleic acid and RNAP II binding properties of the KOW domains. KOW4 variants interacted with nucleic acids, preferentially single stranded RNA, whereas no nucleic acid binding could be detected for KOW6-7. Weak binding of KOW4 to the RNAP II stalk, which is comprised of Rpb4/7, was also detected, consistent with transient interactions between Spt5 and these RNAP II subunits

    Quantitative genetic analysis of anxiety trait in bipolar disorder

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    Background:Bipolar disorder type I (BPI) affects approximately 1% of the world population. Although geneticinfluences on bipolar disorder are well established, identification of genes that predispose to the illness has beendifficult. Most genetic studies are based on categorical diagnosis. One strategy to overcome this obstacle is theuse of quantitative endophenotypes, as has been done for other medical disorders.Methods:We studied 619 individuals, 568 participants from 61 extended families and 51 unrelated healthycontrols. The sample was 55% female and had a mean age of 43.25 (SD 13.90; range 18–78).Heritability and genetic correlation of the trait scale from the Anxiety State and Trait Inventory (STAI) wascomputed by using the general linear model (SOLAR package software).Results:we observed that anxiety trait meets the following criteria for an endophenotype of bipolar disorder typeI (BPI): 1) association with BPI (individuals with BPI showed the highest trait score (F = 15.20 [5,24], p =0.009), 2) state-independence confirmed after conducting a test-retest in 321 subjects, 3) co-segregation withinfamilies 4) heritability of 0.70 (SE: 0.060), p = 2.33 × 10–14and 5) genetic correlation with BPI was 0.20, (SE= 0.17, p = 3.12 × 10−5).Limitations:Confounding factors such as comorbid disorders and pharmacological treatment could affect theclinical relationship between BPI and anxiety trait. Further research is needed to evaluate if anxiety traits arespecially related to BPI in comparison with other traits such as anger, attention or response inhibition deficit,pathological impulsivity or low self-directedness.Conclusions:Anxiety trait is a heritable phenotype that follows a normal distribution when measured not only insubjects with BPI but also in unrelated healthy controls. It could be used as an endophenotype in BPI for theidentification of genomic regions with susceptibility genes for this disorderNational Institute of Mental Health/[1R01TW008290-01A]/NIMH/Estados UnidosUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigación en Biología Celular y Molecular (CIBCM)UCR::Vicerrectoría de Docencia::Ciencias Básicas::Facultad de Ciencias::Escuela de Biologí
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