Literature DB >> 333432

Binding of synthetic lactose operator DNAs to lactose represessors.

D V Goeddel, D G Yansura, M H Caruthers.   

Abstract

The nitrocellulose filter assay was used to study the interactions of wild-type (SQ) and tight-binding (QX86) lac repressors with synthetic lac operators 21 and 26 base pairs long. The repressor binding properties of both operators were very similar, indicating that both contain the same specific repressor recognition sites. The repressor-operator association rate constants (k(a)) were more sensitive than dissociation rate constants (k(d)) to changes in ionic strength. The responses of both k(a) and k(d) to ionic strength were relatively small compared to the effects previously observed with lambdah80dlac as operator DNA. These results suggest that under natural conditions there are electrostatic interactions between lac repressor and DNA regions outside of the 26 base pair operator sequence. Association rate constants for SQ repressor with either operator are higher than have been predicted for diffusion-limited reactions. We postulate that long-range electrostatic attractions between repressor and operator accelerate the association reaction. The presence of nonoperator DNA decreased association rate constants, the effect being more noticeable at an ionic strength of 0.05 M than at 0.20 M. Nonoperator DNA reduced k(a) values for associations involving QX86 repressor to a greater extent than for those with SQ repressor. The two types of repressors also had different rate constants for interactions with synthetic operators. The values for k(a) and k(d) were both higher with SQ repressor than with QX86 repressor. However, the rate constants were more sensitive to ionic strength when the repressor used was QX86.

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Year:  1977        PMID: 333432      PMCID: PMC431535          DOI: 10.1073/pnas.74.8.3292

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  22 in total

1.  Genetic regulation: the Lac control region.

Authors:  R C Dickson; J Abelson; W M Barnes; W S Reznikoff
Journal:  Science       Date:  1975-01-10       Impact factor: 47.728

2.  Ion effects on ligand-nucleic acid interactions.

Authors:  M T Record; M L Lohman; P De Haseth
Journal:  J Mol Biol       Date:  1976-10-25       Impact factor: 5.469

3.  Studies of gene control regions. III. Binding of synthetic and modified synthetic lac operator DNAs to lactose repressor.

Authors:  D G Yansura; D V Goeddel; D L Cribbs; M H Caruthers
Journal:  Nucleic Acids Res       Date:  1977-03       Impact factor: 16.971

4.  A new method for sequencing DNA.

Authors:  A M Maxam; W Gilbert
Journal:  Proc Natl Acad Sci U S A       Date:  1977-02       Impact factor: 11.205

5.  Minimal length of the lactose operator sequence for the specific recognition by the lactose repressor.

Authors:  C P Bahl; R Wu; J Stawinsky; S A Narang
Journal:  Proc Natl Acad Sci U S A       Date:  1977-03       Impact factor: 11.205

6.  Studies on gene control regions. 1. Chemical synthesis of lactose operator deoxyribonucleic acid segments.

Authors:  D V Goeddel; D G Yansura; M H Caruthers
Journal:  Biochemistry       Date:  1977-05-03       Impact factor: 3.162

7.  Chemical and enzymatic synthesis of lactose operator of Escherichia coli and its binding to lactose repressor.

Authors:  C P Bahl; R Wu; K Itakura; N Katagiri; S A Narang
Journal:  Proc Natl Acad Sci U S A       Date:  1976-01       Impact factor: 11.205

8.  Studies on gene control regions. 2. Enzymatic joining of chemically synthesized lactose operator deoxyribonucleic acid segments.

Authors:  D G Yansura; D V Goeddel; M H Caruthers
Journal:  Biochemistry       Date:  1977-05-03       Impact factor: 3.162

9.  Tight-binding repressors of the lactose operon.

Authors:  J L Betz; J R Sadler
Journal:  J Mol Biol       Date:  1976-08-05       Impact factor: 5.469

10.  lac Repressor-operator interaction. Analysis of the X86 repressor mutant.

Authors:  M Pfahl
Journal:  J Mol Biol       Date:  1976-09-25       Impact factor: 5.469

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  19 in total

1.  Quantitative Investigation of Protein-Nucleic Acid Interactions by Biosensor Surface Plasmon Resonance.

Authors:  Shuo Wang; Gregory M K Poon; W David Wilson
Journal:  Methods Mol Biol       Date:  2015

2.  Comparison of deterministic and stochastic models of the lac operon genetic network.

Authors:  Michail Stamatakis; Nikos V Mantzaris
Journal:  Biophys J       Date:  2009-02       Impact factor: 4.033

3.  Binding studies of SV40 T-antigen to SV40 binding site II.

Authors:  P Gottlieb; M S Nasoff; E F Fisher; A M Walsh; M H Caruthers
Journal:  Nucleic Acids Res       Date:  1985-09-25       Impact factor: 16.971

4.  Probing the electrostatics and pharmacological modulation of sequence-specific binding by the DNA-binding domain of the ETS family transcription factor PU.1: a binding affinity and kinetics investigation.

Authors:  Manoj Munde; Gregory M K Poon; W David Wilson
Journal:  J Mol Biol       Date:  2013-02-14       Impact factor: 5.469

5.  How lac repressor recognizes lac operator.

Authors:  D V Goeddel; D G Yansura; M H Caruthers
Journal:  Proc Natl Acad Sci U S A       Date:  1978-08       Impact factor: 11.205

6.  Studies on gene control regions X. The effect of specific adenine-thymine transversions on the lac repressor-lac operator interaction.

Authors:  H S Sista; R T Loder; M H Caruthers
Journal:  Nucleic Acids Res       Date:  1979-06-11       Impact factor: 16.971

7.  Equilibrium and kinetic aspects of protein-DNA recognition.

Authors:  M A Livshitz; G V Gursky; A S Zasedatelev; M V Volkenstein
Journal:  Nucleic Acids Res       Date:  1979       Impact factor: 16.971

8.  Methylphosphonates as probes of protein-nucleic acid interactions.

Authors:  S A Noble; E F Fisher; M H Caruthers
Journal:  Nucleic Acids Res       Date:  1984-04-11       Impact factor: 16.971

9.  lac repressor changes conformation upon binding to poly[dA-T)].

Authors:  D E Kelsey; T C Rounds; S S York
Journal:  Proc Natl Acad Sci U S A       Date:  1979-06       Impact factor: 11.205

10.  Anomaly detection in gene expression via stochastic models of gene regulatory networks.

Authors:  Haseong Kim; Erol Gelenbe
Journal:  BMC Genomics       Date:  2009-12-03       Impact factor: 3.969

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