PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “Bioinformatics”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 991 records · Page 55Linked to original sources
PubMed2006

Bioinformatic, genetic, and biochemical evidence that some glycoside hydrolase family 42 beta-galactosidases are arabinogalactan type I oligomer hydrolases.

Glycoside hydrolases are organized into glycoside hydrolase families (GHFs) and within this larger group, the beta-galactosidases are members of four families: 1, 2, 35, and 42. Most genes encoding GHF 42 enzymes are from prokaryotes unlikely to encounter lactose, suggesting a different substrate for these enzymes. In search of this substrate, we analyzed genes neighboring GHF 42 genes in databases and detected an arrangement implying that these enzymes might hydrolyze oligosaccharides released by GHF 53 enzymes from arabinogalactan type I, a pectic plant polysaccharide. Because Bacillus subtilis has adjacent GHF 42 and GHF 53 genes, we used it to test the hypothesis that a GHF 42 enzyme (LacA) could act on the oligosaccharides released by a GHF 53 enzyme (GalA) from galactan. We cloned these genes, plus a second GHF 42 gene from B. subtilis, yesZ, into Escherichia coli and demonstrated that cells expressing LacA with GalA gained the ability to use galactan as a carbon source. We constructed B. subtilis mutants and showed that the increased beta-galactosidase activity generated in response to the addition of galactan was eliminated by inactivating lacA or galA but unaffected by the inactivation of yesZ. As further demonstration, we overexpressed the LacA and GalA proteins in E. coli and demonstrated that these enzymes degrade galactan in vitro as assayed by thin-layer chromatography. Our work provides the first in vivo evidence for a function of some GHF 42 beta-galactosidases. Similar functions for other beta-galactosidases in both GHFs 2 and 42 are suggested by genomic data.

Bacillus subtilis↗
PubMed2001

Definition of the Bacillus subtilis PurR operator using genetic and bioinformatic tools and expansion of the PurR regulon with glyA, guaC, pbuG, xpt-pbuX, yqhZ-folD, and pbuO.

The expression of the pur operon, which encodes enzymes of the purine biosynthetic pathway in Bacillus subtilis, is subject to control by the purR gene product (PurR) and phosphoribosylpyrophosphate. This control is also exerted on the purA and purR genes. A consensus sequence for the binding of PurR, named the PurBox, has been suggested (M. Kilstrup, S. G. Jessing, S. B. Wichmand-Jørgensen, M. Madsen, and D. Nilsson, J. Bacteriol. 180:3900-3906, 1998). To determine whether the expression of other genes might be regulated by PurR, we performed a search for PurBox sequences in the B. subtilis genome sequence and found several candidate PurBoxes. By the use of transcriptional lacZ fusions, five selected genes or operons (glyA, yumD, yebB, xpt-pbuX, and yqhZ-folD), all having a putative PurBox in their upstream regulatory regions, were found to be regulated by PurR. Using a machine-learning algorithm developed for sequence pattern finding, we found that all of the genes identified as being PurR regulated have two PurBoxes in their upstream control regions. The two boxes are divergently oriented, forming a palindromic sequence with the inverted repeats separated by 16 or 17 nucleotides. A computerized search revealed one additional PurR-regulated gene, ytiP. The significance of the tandem PurBox motifs was demonstrated in vivo by deletion analysis and site-directed mutagenesis of the two PurBox sequences located upstream of glyA. All six genes or operons encode enzymes or transporters playing a role in purine nucleotide metabolism. Functional analysis showed that yebB encodes the previously characterized hypoxanthine-guanine permease PbuG and that ytiP encodes another guanine-hypoxanthine permease and is now named pbuO. yumD encodes a GMP reductase and is now named guaC.

Bacillus subtilis↗
PubMed2003

BIBI, a bioinformatics bacterial identification tool.

BIBI was designed to automate DNA sequence analysis for bacterial identification in the clinical field. BIBI relies on the use of BLAST and CLUSTAL W programs applied to different subsets of sequences extracted from GenBank. These sequences are filtered and stored in a new database, which is adapted to bacterial identification.

Bacteria↗
PubMed2003

DNA and the revolutions of molecular evolution, computational biology, and bioinformatics.

The discovery of the structure of DNA was a necessary prerequisite for determining the sequence of DNA molecules. Technological advances have now made it possible to sequence DNA rapidly and has resulted in public databases with over 30 billion nucleotides of known sequence. The analysis of these data has lead to new fields of science and to amazing advances in our understanding of evolution.

Animals↗
PubMed2005

Comparative bioinformatic analysis of genes expressed in common bean (Phaseolus vulgaris L.) seedlings.

To rapidly and cost-effectively generate gene expression data, we developed an annotated unigene database of common bean (Phaseolus vulgaris L.). In this study, 3 cDNA libraries were constructed from the bean breeding line SEL1308, 1 from young leaf and 2 from seedlings inoculated or not inoculated with the fungal pathogen Colletotrichum lindemuthianum (Sacc. & Magnus) Briosi & Cavara, which causes anthracnose in common bean. To this date, 5255 single-pass sequences have been included in the database after selection based on sequence quality. These ESTs were trimmed and clustered using the computer programs Phred and CAP3 to form a unigene collection of 3126 unique sequences. Within clusters, 318 single nucleotide polymorphisms (SNPs) and 68 insertions-deletions (indels) were found, indicating the presence of paralogous gene families in our database. Each unigene sequence was analyzed for possible function using their similarity to known genes represented in the GenBank database and classified into 14 categories. Only 314 unigenes showed significant similarities to Phaseolus genomic sequences and P. vulgaris ESTs, which indicates that 90% (2818 unigenes) of our database represent newly discovered common bean genes. In addition, 12% (387 unigenes) were shown to be specific to common bean. This study represents a first step towards the discovery of novel genes in beans and a valuable source of molecular markers for expressed gene tagging and mapping.

Computational Biology↗
PubMed2004

Dissecting the human spliceosome through bioinformatics and proteomics approaches.

The precise excision of introns from mRNAs is executed by the spliceosome, a cellular machinery composed by five small nuclear RNAs and hundreds of proteins. In the last few years, several groups have used proteomics and computational biology tools to characterize the components of the human spliceosome. These reports have identified basically all known splicing factors and several new proteins. The composition of the human spliceosome confirms the link between splicing and other steps in gene expression. Here we comment on these reports and discuss the perspectives for the coming years.

Alternative Splicing↗