A positive regulatory gene is required for accumulation of the functional messenger RNA for the glucose-repressible alcohol dehydrogenase from Saccharomyces cerevisiae

The amount of glucose-repressible alcohol dehydrogenase is regulated by the amount of its functional messenger RNA. ADHII² protein was detected by a radioimmune assay and differentiated from ADHI, the classical ADH isozyme, by limited proteolysis with Staphylococcus aureus protease. When yeast containing the wild-type alleles for ADR2 (the ADH II structural locus) and for ADR1 (its positive regulatory gene) were pulse-labeled with [³⁵S]methionine during derepression, radioactive label accumulated in the antibody-precipitated ADHII coterminously with the appearance of ADHII activity. The kinetics of functional ADHII mRNA appearance during derepression in this strain were shown to be the same as those for ADHII protein synthesis in vivo when RNA, extracted from derepressed cells, was translated in a wheat germ cell-free translation system.The role of the positive regulatory gene, ADR1, in ADHII expression was analyzed using two strains mutated at that locus. Yeast containing the adr1-1 allele are incapable of derepressing ADHII activity. When this strain was pulselabeled with [³⁵S]methionine during derepression, approximately one-tenth to one-twentieth the level of ADHII protein synthesis was detected as in the wild-type strain. When RNA was extracted during derepression from cells containing the udr1-1 allele and translated in a wheat germ cell-free system, little functional ADHII mRNA was found to be present.The role of the ADR1 gene was further analyzed using a strain containing the ADR1-5^c allele, which allows constitutive synthesis of ADHII activity. In this strain during glucose repression. ADHII protein synthesis and amount of functional mRNA were at levels comparable to those found for the wild-type strain after complete derepression. Similar kinetics of ADHII protein synthesis and of mRNA accumulation during derepression were observed in the strain carrying the ADR1-5^c allele when compared to that carrying the ADR1 allele, but the absolute amounts were greater by three- to fourfold in cells containing the ADR1-5^c allele. These results indicate that the ADR1 gene acts to increase the level of functional ADHII mRNA during derepression.     

Specific Endonuclease R Fragments of Bacteriophage φX174 Deoxyribonucleic Acid

The restriction enzyme from Hemophilus influenzae, endonuclease R, cleaves phiX174 replicative-form deoxyribonucleic acid (DNA) into at least 13 specific limit fragments. The molecular weights of 12 of the fragments have been estimated by gel electrophoresis and electron microscopy. Using the genetic assay for small fragments of phiX DNA, we have shown that we can salvage markers from the endonuclease R phiX-RF fragments.     

BOOK REVIEWS

Book reviewed in this article:
NORTH AND SOUTH AMERICA: The Agricultural and Hunting Methods of the Navaho Indians . W. W. H ill .
NORTH AND SOUTH AMERICA: A Brief History of Navajo Silver smithing . A rthur W oodward .
NORTH AND SOUTH AMERICA: Navaho Life of Yesterday and Today . K atharine L uomala .     

Identification of New Genes Involved in the Regulation of Yeast Alcohol Dehydrogenase II

Recessive mutations in two negative control elements, CRE1 and CRE2, have been obtained that allow the glucose-repressible alcohol dehydrogenase (ADHII) of yeast to escape repression by glucose. Both the cre1 and cre2 alleles affected ADHII synthesis irrespective of the allele of the positive effector, ADR1. However, for complete derepression of ADHII synthesis, a wild-type ADR1 gene was required. Neither the cre1 nor cre2 alleles affected the expression of several other glucose-repressible enzymes. A third locus, CCR4, was identified by recessive mutations that suppressed the cre1 and cre2 phenotypes. The ccr4 allele blocked the derepression of ADHII and several other glucose-repressible enzymes, indicating that the CCR4 gene is a positive control element. The ccr4 allele had no effect on the repression of ADHII when it was combined with the ADR1-5c allele, whereas the phenotypically similar ccr1 allele, which partially suppresses ADR1-5c, did not suppress the cre1 or cre2 phenotype. Complementation studies also indicated that ccr1 and snf1 are allelic. A model of ADHII regulation is proposed in which both ADR1 and CCR4 are required for ADHII expression. CRE1 and CRE2 negatively control CCR4, whereas CCR1 is required for ADR1 function.     

Reflecting on 20 years of breast cancer modeling in CISNET: Recommendations for future cancer systems modeling efforts

Since 2000, the National Cancer Institute’s Cancer Intervention and Surveillance Modeling Network (CISNET) modeling teams have developed and applied microsimulation and statistical models of breast cancer. Here, we illustrate the use of collaborative breast cancer multilevel systems modeling in CISNET to demonstrate the flexibility of systems modeling to address important clinical and policy-relevant questions. Challenges and opportunities of future systems modeling are also summarized. The 6 CISNET breast cancer models embody the key features of systems modeling by incorporating numerous data sources and reflecting tumor, person, and health system factors that change over time and interact to affect the burden of breast cancer. Multidisciplinary modeling teams have explored alternative representations of breast cancer to reveal insights into breast cancer natural history, including the role of overdiagnosis and race differences in tumor characteristics. The models have been used to compare strategies for improving the balance of benefits and harms of breast cancer screening based on personal risk factors, including age, breast density, polygenic risk, and history of Down syndrome or a history of childhood cancer. The models have also provided evidence to support the delivery of care by simulating outcomes following clinical decisions about breast cancer treatment and estimating the relative impact of screening and treatment on the United States population. The insights provided by the CISNET breast cancer multilevel modeling efforts have informed policy and clinical guidelines. The 20 years of CISNET modeling experience has highlighted opportunities and challenges to expanding the impact of systems modeling. Moving forward, CISNET research will continue to use systems modeling to address cancer control issues, including modeling structural inequities affecting racial disparities in the burden of breast cancer. Future work will also leverage the lessons from team science, expand resource sharing, and foster the careers of early stage modeling scientists to ensure the sustainability of these efforts.