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Biomedical subjects

Jonathan R Greene

Publications and source records attributed to Jonathan R Greene.

12 recordsLinked to original sources

The HTT1a protein initiates HTT aggregation in a knock-in mouse model of Huntington's disease.

The mutation that causes Huntington's disease is a CAG repeat expansion in exon 1 of the huntingtin gene (HTT) that leads to an abnormally long polyglutamine tract in the huntingtin protein (HTT). Mutant CAG repeats are unstable and increase in size in specific neurons and brain regions with age, a phenomenon that constitutes the first step in the pathogenesis of the disease. In the presence of an expanded CAG repeat, cryptic polyadenylation (polyA) sites in intron 1 of the HTT pre-mRNA can become activated leading to the polyadenylation of a prematurely terminated transcript, HTT1a. This encodes the HTT1a protein, which is known to be very aggregation-prone and highly pathogenic. Given that the longer the CAG repeat the more HTT1a is generated, could the production of HTT1a be the mechanism through which somatic CAG repeat expansion exerts its pathogenic consequences? Resolving this issue is very important for the design of therapeutic approaches to lower huntingtin levels. We have used a clustered regularly interspaced short palindromic repeats (CRISPR)-Cas9 approach to prevent the production of HTT1a in a knock-in mouse model of Huntington's disease. All potential cryptic polyA sites were deleted from Htt intron 1 in HdhQ150 mice and colonies were established that were heterozygous for the intron 1 deletion on a mutant allele (HdhQ150ΔI) and heterozygous for the deletion on a wild-type allele (WTΔI). The CAG repeat sizes in the HdhQ150 and HdhQ150ΔI colonies were well-matched at approximately 195 CAGs. As predicted, the deletion of the cryptic polyA sites from Htt intron 1 prevented the generation of the Htt1a transcript in the HdhQ150ΔI mice. However, very low levels of the HTT1a protein were detected, which resulted from a Htt readthrough product of exon 1 and exon 2, that had retained the deleted intron and terminated at a cryptic polyA site in intron 2. HdhQ150, HdhQ150ΔI, wild-type and WTΔI mice were studied until 17 months of age. Immunohistochemical and homogeneous time-resolved fluorescence analysis showed that HTT aggregation in both HdhQ150 and HdhQ150ΔI brains contained HTT1a, but the dramatic decrease in soluble HTT1a levels in HdhQ150ΔI brains delayed the appearance of aggregated HTT1a by several months. Although this delay in aggregate pathology only partially reversed transcriptional dysregulation, the biomarkers neurofilament light polypeptide (NEFL) and breast regression protein 39 (BRP39) (YKL40) remained at wild-type levels in HdhQ150ΔI mice at 17 months of age. These data demonstrate that the production of HTT1a initiates HTT aggregation and that it is important to target HTT1a in huntingtin-lowering therapeutic strategies.

Animals↗

Genome wide in silico SNP-tumor association analysis.

BACKGROUND: Carcinogenesis occurs, at least in part, due to the accumulation of mutations in critical genes that control the mechanisms of cell proliferation, differentiation and death. Publicly accessible databases contain millions of expressed sequence tag (EST) and single nucleotide polymorphism (SNP) records, which have the potential to assist in the identification of SNPs overrepresented in tumor tissue. METHODS: An in silico SNP-tumor association study was performed utilizing tissue library and SNP information available in NCBI's dbEST (release 092002) and dbSNP (build 106). RESULTS: A total of 4865 SNPs were identified which were present at higher allele frequencies in tumor compared to normal tissues. A subset of 327 (6.7%) SNPs induce amino acid changes to the protein coding sequences. This approach identified several SNPs which have been previously associated with carcinogenesis, as well as a number of SNPs that now warrant further investigation CONCLUSIONS: This novel in silico approach can assist in prioritization of genes and SNPs in the effort to elucidate the genetic mechanisms underlying the development of cancer.

Databases, Genetic↗

Posaconazole is a potent inhibitor of sterol 14alpha-demethylation in yeasts and molds.

Posaconazole (POS; SCH 56592) is a novel triazole that is active against a wide variety of fungi, including fluconazole-resistant Candida albicans isolates and fungi that are inherently less susceptible to approved azoles, such as Candida glabrata. In this study, we compared the effects of POS, itraconazole (ITZ), fluconazole (FLZ), and voriconazole (VOR) on sterol biosynthesis in strains of C. albicans (both azole-sensitive and azole-resistant strains), C. glabrata, Aspergillus fumigatus, and Aspergillus flavus. Following exposure to azoles, nonsaponifiable sterols were extracted and resolved by liquid chromatography and sterol identity was confirmed by mass spectroscopy. Ergosterol was the major sterol in all but one of the strains; C. glabrata strain C110 synthesized an unusual sterol in place of ergosterol. Exposure to POS led to a decrease in the total sterol content of all the strains tested. The decrease was accompanied by the accumulation of 14alpha-methylated sterols, supporting the contention that POS inhibits the cytochrome P450 14alpha-demethylase enzyme. The degree of sterol inhibition was dependent on both dose and the susceptibility of the strain tested. POS retained activity against C. albicans isolates with mutated forms of the 14alpha-demethylase that rendered these strains resistant to FLZ, ITZ, and VOR. In addition, POS was a more potent inhibitor of sterol synthesis in A. fumigatus and A. flavus than either ITZ or VOR.

Antifungal Agents↗

Quantification of single nucleotide polymorphisms by automated DNA sequencing.

Single nucleotide polymorphisms (SNPs) are linked to phenotypes associated with diseases and drug responses. Many techniques are now available to identify and quantify such SNPs in DNA or RNA pools, although the information on the latter is limited. The majority of these methodologies require prior knowledge of target sequences, normally obtained through DNA sequencing. Direct quantitation of SNPs from DNA sequencing raw data will save time and money for large amount sample analysis. A high throughput DNA sequencing assay, in combination with a SNP quantitative algorithm, was developed for the quantitation of a SNP present in HCV RNA sequences. For a side-by-side comparison, a Pyrosequencing assay was also developed. Quantitation performance was evaluated for both methods. The direct DNA sequencing quantitation method was shown to be more linear, accurate, sensitive, and reproducible than the Pyrosequencing method for the quantitation of the SNP present in HCV RNA molecules.

Algorithms↗

Global transcriptional program of p53 target genes during the process of apoptosis and cell cycle progression.

The temporal gene expression profile during the entire process of apoptosis and cell cycle progression in response to p53 in human ovarian cancer cells was explored with cDNA microarrays representing 33 615 individual human genes. A total of 1501 genes (4.4%) were found to respond to p53 (approximately 80% of these were repressed by p53) using 2.5-fold change as a cutoff. It was anticipated that most of p53 responsive genes resulted from the secondary effect of p53 expression at late stage of apoptosis. To delineate potential p53 direct and indirect target genes during the process of apoptosis and cell cycle progression, microarray data were combined with global p53 DNA-binding site analysis. Here we showed that 361 out of 1501 p53 responsive genes contained p53 consensus DNA-binding sequence(s) in their regulatory region, approximately 80% of which were repressed by p53. This is the first time that a large number of p53-repressed genes have been identified to contain p53 consensus DNA-binding sequence(s) in their regulatory region. Hierarchical cluster analysis of these genes revealed distinct temporal expression patterns of transcriptional activation and repression by p53. More genes were activated at early time points, while more repressed genes were found after the onset of apoptosis. A small-scale quantitative chromatin immunoprecipitation analysis indicated that in vivo p53-DNA interaction was detected in eight out of 10 genes, most of which were repressed by p53 at the early onset of apoptosis, suggesting that a portion of p53 target genes in the human genome could be negatively regulated by p53 via sequence-specific DNA binding. The approaches and genes described here should aid the understanding of global gene regulatory network of p53.

Adenoviridae↗

Comparative promoter analysis and its application in analysis of PTH-regulated gene expression.

Taking advantage of the "working draft" of the human genome and the MIT shotgun assembly of the mouse genome, we performed a comparative promoter analysis of human RefSeq mRNA (sequences from GenBank's RefSeq database). By combining this analysis with a transcription factor (TF) binding site analysis using a TRANSFAC position weight matrix (PWM) search, 86% of non-specific TF sites were removed. Using a set of genes that are regulated by parathyroid hormone (PTH), a statistical analysis was performed on the conserved TF binding sites among a set of eight human and mouse genes. From among the eight genes tested, we obtained a set of 31 TFs, suggesting possible roles for associated genes in PTH-mediated pathways. All three known PTH-responsive TFs (AP1, RUNX2, CREB) were correctly predicted by this analysis as well as two other potential TFs (VDR and CEBP Delta). Additionally, a model was made to describe the TF site characteristic module of PTH-regulated genes. This model was then used to search all human RefSeq gene promoters with established human-mouse ortholog relationships to identify other PTH-regulated genes. This comparative approach combined with statistical analysis proved to be sufficiently specific to decipher critical TFs involved in PTH-regulated pathways.

Algorithms↗

PepPat, a pattern-based oligopeptide homology search method and the identification of a novel tachykinin-like peptide.

UNLABELLED: PepPat, a hybrid method that combines pattern matching with similarity scoring, is described. We also report PepPat's application in the identification of a novel tachykinin-like peptide. PepPat takes as input a query peptide and a user-specified regular expression pattern within the peptide. It first performs a database pattern match and then ranks candidates on the basis of their similarity to the query peptide. PepPat calculates similarity over the pattern spanning region, enhancing PepPat's sensitivity for short query peptides. PepPat can also search for a user-specified number of occurrences of a repeated pattern within the target sequence. We illustrate PepPat's application in short peptide ligand mining. As a validation example, we report the identification of a novel tachykinin-like peptide, C14TKL-1, and show it is an NK1 (neuokinin receptor 1) agonist whose message is widely expressed in human periphery. AVAILABILITY: PepPat is offered online at: http://peppat.cbi.pku.edu.cn.

Algorithms↗

A reference database for tumor-related genes co-expressed with interleukin-8 using genome-scale in silico analysis.

BACKGROUND: The EST database provides a rich resource for gene discovery and in silico expression analysis. We report a novel computational approach to identify co-expressed genes using EST database, and its application to IL-8. RESULTS: IL-8 is represented in 53 dbEST cDNA libraries. We calculated the frequency of occurrence of all the genes represented in these cDNA libraries, and ranked the candidates based on a Z-score. Additional analysis suggests that most IL-8 related genes are differentially expressed between non-tumor and tumor tissues. To focus on IL-8's function in tumor tissues, we further analyzed and ranked the genes in 16 IL-8 related tumor libraries. CONCLUSIONS: This method generated a reference database for genes co-expressed with IL-8 and could facilitate further characterization of functional association among genes.

Journal Article↗

Hepatitis C virus whole genome position weight matrix and robust primer design.

BACKGROUND: The high degree of sequence heterogeneity found in Hepatitis C virus (HCV) isolates, makes robust nucleic acid-based assays difficult to generate. Polymerase chain reaction based techniques, require efficient and specific sequence recognition. Generation of robust primers capable of recognizing a wide range of isolates is a difficult task. RESULTS: A position weight matrix (PWM) and a consensus sequence were built for each region of HCV and subsequently assembled into a whole genome consensus sequence and PWM. For each of the 10 regions, the number of occurrences of each base at a given position was compiled. These counts were converted to frequencies that were used to calculate log odds scores. Using over 100 complete and 14,000 partial HCV genomes from GenBank, a consensus HCV genome sequence was generated along with a PWM reflecting heterogeneity at each position. The PWM was used to identify the most conserved regions for primer design. CONCLUSIONS: This approach allows rapid identification of conserved regions for robust primer design and is broadly applicable to sets of genomes with all levels of genetic heterogeneity.

Conserved Sequence↗

Analysis of a human brain transcriptome map.

BACKGROUND: Genome wide transcriptome maps can provide tools to identify candidate genes that are over-expressed or silenced in certain disease tissue and increase our understanding of the structure and organization of the genome. Expressed Sequence Tags (ESTs) from the public dbEST and proprietary Incyte LifeSeq databases were used to derive a transcript map in conjunction with the working draft assembly of the human genome sequence. RESULTS: Examination of ESTs derived from brain tissues (excluding brain tumor tissues) suggests that these genes are distributed on chromosomes in a non-random fashion. Some regions on the genome are dense with brain-enriched genes while some regions lack brain-enriched genes, suggesting a significant correlation between distribution of genes along the chromosome and tissue type. ESTs from brain tumor tissues have also been mapped to the human genome working draft. We reveal that some regions enriched in brain genes show a significant decrease in gene expression in brain tumors, and, conversely that some regions lacking in brain genes show an increased level of gene expression in brain tumors. CONCLUSIONS: This report demonstrates a novel approach for tissue specific transcriptome mapping using EST-based quantitative assessment.

Journal Article↗

Computational analysis of composite regulatory elements.

Combinatorial regulation is a powerful mechanism for generating specificity in gene expression, and it is thought to play a pivotal role in the formation of the complex gene regulatory networks found in higher eukaryotes. The term "Composite Element" (CE) refers to a minimal functional unit where protein-DNA and protein-protein interactions contribute to a highly specific pattern of gene transcriptional regulation. Identification of composite elements will help to better understand gene regulation networks. Experimentally identified CEs are limited in number, and the currently available CE database COMPEL is based on such published information. Here, based on the statistical analysis of over-represented adjacent transcription factor binding sites, we describe a computational method to predict composite regulatory elements in genomic sequences. The algorithm proved to be efficient for extracting composite elements that had been experimentally confirmed and documented in the COMPEL database. Furthermore, putative new composite elements are predicted based on this method, and we have been able to confirm some of our predictions which are not included in the COMPEL database by searching published information.

Binding Sites↗

[IRE_FINDER-computational search of iron response element in human and mouse UTRs].

The iron response element (IRE) is a highly conserved RNA stem loop structure. It is the binding site of iron regulatory protein (IRP). IRP binding to IRE is regulated by cellular iron. When cells are derived of iron, IRP binds IRE. If IRE is located at 5'UTR, IRP binding will inhibit translation initiation, else if IRE is at 3'UTR, IRP binding will stabilize mRNA and prevent it from degradation. So far all known IREs have C at the 1 position and G at the 5 position of the loop (C1G5 type). In vitro studies suggest that the U1A5 type IRE, which has U and A at the 1 and 5 loop position respectively, binds well to IRP. However, U1A5 type's in vivo existence is still elusive. IRE-IRP binding is involved in the regulation of iron metabolism, oxidative stress and possibly aging. Here we use an improved computation method performing a comprehensive search of IRE in human and mouse genes. We try to catalog potential human and mouse IRE containing genes, at the same time identify potential U1A5 IREs.

3' Untranslated Regions↗