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1.
Clin Pharmacol Ther ; 101(5): 613-615, 2017 May.
Article in English | MEDLINE | ID: mdl-28139831

ABSTRACT

The Cancer Moonshot emphasizes the need to learn from the experiences of cancer patients to positively impact their outcomes, experiences, and qualities of life. To realize this vision, there has been a concerted effort to identify the fundamental building blocks required to establish a National Learning Healthcare System for Cancer, such that relevant data on all cancer patients is accessible, shareable, and contributing to the current state of knowledge of cancer care and outcomes.


Subject(s)
Delivery of Health Care/organization & administration , Medical Oncology/trends , Neoplasms/drug therapy , Computational Biology , Data Interpretation, Statistical , Databases, Factual , Delivery of Health Care/trends , Humans , National Cancer Institute (U.S.) , United States
2.
Nucleic Acids Res ; 41(Database issue): D530-5, 2013 Jan.
Article in English | MEDLINE | ID: mdl-23161678

ABSTRACT

The Gene Ontology (GO) Consortium (GOC, http://www.geneontology.org) is a community-based bioinformatics resource that classifies gene product function through the use of structured, controlled vocabularies. Over the past year, the GOC has implemented several processes to increase the quantity, quality and specificity of GO annotations. First, the number of manual, literature-based annotations has grown at an increasing rate. Second, as a result of a new 'phylogenetic annotation' process, manually reviewed, homology-based annotations are becoming available for a broad range of species. Third, the quality of GO annotations has been improved through a streamlined process for, and automated quality checks of, GO annotations deposited by different annotation groups. Fourth, the consistency and correctness of the ontology itself has increased by using automated reasoning tools. Finally, the GO has been expanded not only to cover new areas of biology through focused interaction with experts, but also to capture greater specificity in all areas of the ontology using tools for adding new combinatorial terms. The GOC works closely with other ontology developers to support integrated use of terminologies. The GOC supports its user community through the use of e-mail lists, social media and web-based resources.


Subject(s)
Databases, Genetic , Genes , Molecular Sequence Annotation , Vocabulary, Controlled , Internet , Phylogeny
3.
J Biol Chem ; 266(32): 21362-7, 1991 Nov 15.
Article in English | MEDLINE | ID: mdl-1657962

ABSTRACT

Our previous studies showed that the AP-1 recognition element (ARE) present within the SV40 72-base pair (bp) enhancer will activate transcription in yeast when placed upstream of a truncated CYC1 promoter. However, the AP-2/AP-3 recognition element (also known as the core sequence TGTGGAAAG) from the SV40 enhancer was not able to activate CYC1-dependent transcription. In this report, we show that the core sequence, when cloned next to a yeast UAS (upstream activation sequence), can inhibit the transcriptional stimulatory activity of the UAS. We refer to this sequence as the upstream repressor element (URE) in yeast. Repression occurs in an orientation-independent fashion and irrespective of the placement of the URE between the UAS and TATA box or upstream of both of these elements. Furthermore, repression is seen when the URE is separated from the UAS by up to 214 bp. Interestingly, multiple copies of an activator site can overcome this repression. Gel-shift analysis and URE-probed proteins blots indicate the presence of two polypeptide chains capable of binding the URE in yeast. The experimental evidence suggests that either the repression associated with the URE sequence is mediated by a direct, one-to-one interaction between the proteins recognizing the URE and GCRE, or alternatively, that there is a direct interaction between the activator and repressor for a general transcription factor.


Subject(s)
Enhancer Elements, Genetic , Proto-Oncogene Proteins c-jun/metabolism , Repressor Proteins/metabolism , Saccharomyces cerevisiae/genetics , Simian virus 40/genetics , Base Sequence , Cloning, Molecular , Deoxyribonuclease I , Molecular Sequence Data , Oligodeoxyribonucleotides , Plasmids , Promoter Regions, Genetic , Proto-Oncogene Proteins c-jun/genetics , Repressor Proteins/genetics , Transcription, Genetic , Transcriptional Activation , beta-Galactosidase/genetics , beta-Galactosidase/metabolism
4.
Cell ; 48(3): 507-15, 1987 Feb 13.
Article in English | MEDLINE | ID: mdl-3100052

ABSTRACT

The heat shock transcription factor (HSTF) has been purified to apparent homogeneity from S. cerevisiae and D. melanogaster by sequence-specific DNA-affinity chromatography. A synthetic oligonucleotide containing an hsp83-like heat shock element (HSE) was prepared and ligated into concatamers and covalently coupled to Sepharose. This DNA-affinity resin allowed the rapid isolation of a yeast and a Drosophila protein with the same apparent molecular weight (70 kd). The yeast HSTF will bind to both its own and the Drosophila HSEs. Similarly, the Drosophila HSTF will bind to both its own and the yeast HSEs. The yeast and Drosophila HSTFs were subjected to preparative SDS gel electrophoresis, and the 70 kd polypeptides were eluted, renatured, and observed to generate the identical footprint pattern as the native HSTFs. Affinity-purified Drosophila HSTF was further shown to stimulate specific HSE-dependent transcription from a Drosophila hsp70 gene in vitro.


Subject(s)
Drosophila melanogaster/genetics , Heat-Shock Proteins/genetics , Saccharomyces cerevisiae/genetics , Transcription Factors/analysis , Animals , Chromatography, Affinity , DNA/metabolism , DNA, Fungal/metabolism , Electrophoresis, Polyacrylamide Gel , Transcription Factors/genetics , Transcription Factors/isolation & purification , Transcription Factors/metabolism , Transcription, Genetic
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