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1.
Cell Chem Biol ; 30(10): 1235-1247.e6, 2023 10 19.
Article in English | MEDLINE | ID: mdl-37531956

ABSTRACT

Targeting transcription replication conflicts, a major source of endogenous DNA double-stranded breaks and genomic instability could have important anticancer therapeutic implications. Proliferating cell nuclear antigen (PCNA) is critical to DNA replication and repair processes. Through a rational drug design approach, we identified a small molecule PCNA inhibitor, AOH1996, which selectively kills cancer cells. AOH1996 enhances the interaction between PCNA and the largest subunit of RNA polymerase II, RPB1, and dissociates PCNA from actively transcribed chromatin regions, while inducing DNA double-stranded breaks in a transcription-dependent manner. Attenuation of RPB1 interaction with PCNA, by a point mutation in RPB1's PCNA-binding region, confers resistance to AOH1996. Orally administrable and metabolically stable, AOH1996 suppresses tumor growth as a monotherapy or as a combination treatment but causes no discernable side effects. Inhibitors of transcription replication conflict resolution may provide a new and unique therapeutic avenue for exploiting this cancer-selective vulnerability.


Subject(s)
Chromatin , Neoplasms , Humans , Proliferating Cell Nuclear Antigen/genetics , Proliferating Cell Nuclear Antigen/chemistry , Proliferating Cell Nuclear Antigen/metabolism , Protein Binding , Neoplasms/drug therapy , DNA , DNA Replication
2.
Cells ; 10(11)2021 10 27.
Article in English | MEDLINE | ID: mdl-34831131

ABSTRACT

Peptides are increasingly being developed for use as therapeutics to treat many ailments, including cancer. Therapeutic peptides have the advantages of target specificity and low toxicity. The anticancer effects of a peptide can be the direct result of the peptide binding its intended target, or the peptide may be conjugated to a chemotherapy drug or radionuclide and used to target the agent to cancer cells. Peptides can be targeted to proteins on the cell surface, where the peptide-protein interaction can initiate internalization of the complex, or the peptide can be designed to directly cross the cell membrane. Peptides can induce cell death by numerous mechanisms including membrane disruption and subsequent necrosis, apoptosis, tumor angiogenesis inhibition, immune regulation, disruption of cell signaling pathways, cell cycle regulation, DNA repair pathways, or cell death pathways. Although using peptides as therapeutics has many advantages, peptides have the disadvantage of being easily degraded by proteases once administered and, depending on the mode of administration, often have difficulty being adsorbed into the blood stream. In this review, we discuss strategies recently developed to overcome these obstacles of peptide delivery and bioavailability. In addition, we present many examples of peptides developed to fight cancer.


Subject(s)
Neoplasms/drug therapy , Peptides/therapeutic use , Cell-Penetrating Peptides/pharmacology , Humans , Models, Biological , Nanoparticles/chemistry , Peptides/pharmacology , Proliferating Cell Nuclear Antigen/metabolism
3.
Mol Ther Oncolytics ; 17: 250-256, 2020 Jun 26.
Article in English | MEDLINE | ID: mdl-32368614

ABSTRACT

Pancreatic ductal adenocarcinoma is a particularly difficult cancer to treat due to a lack of effective screening or treatment. Pancreatic cancer cells exhibit high proliferating cell nuclear antigen (PCNA) expression, which is associated with poor prognosis. PCNA, an important nuclear DNA replication and repair protein, regulates a myriad of proteins via the interdomain connector loop. Within this region, amino acids 126-133 are critical for PCNA interactions in cancer cells. Here, we investigate the ability of a decoy cell-penetrating peptide, R9-caPeptide, that mimics the interdomain connector loop region of PCNA to disrupt PCNA-protein interactions in pancreatic cancer cells. Our data suggest that R9-caPeptide causes dose-dependent toxicity in a panel of pancreatic cancer cell lines by inhibiting DNA replication fork progression and PCNA-regulated DNA repair, ultimately causing lethal DNA damage. Overall, these studies lay the foundation for novel therapeutic strategies that target PCNA in pancreatic cancer.

4.
PLoS One ; 11(12): e0169259, 2016.
Article in English | MEDLINE | ID: mdl-28036377

ABSTRACT

We describe a gentle and rapid method to purify the intact multiprotein DNA replication complex using free flow electrophoresis (FFE). In particular, we applied FFE to purify the human cell DNA synthesome, which is a multiprotein complex that is fully competent to carry-out all phases of the DNA replication process in vitro using a plasmid containing the simian virus 40 (SV40) origin of DNA replication and the viral large tumor antigen (T-antigen) protein. The isolated native DNA synthesome can be of use in studying the mechanism by which mammalian DNA replication is carried-out and how anti-cancer drugs disrupt the DNA replication or repair process. Partially purified extracts from HeLa cells were fractionated in a native, liquid based separation by FFE. Dot blot analysis showed co-elution of many proteins identified as part of the DNA synthesome, including proliferating cell nuclear antigen (PCNA), DNA topoisomerase I (topo I), DNA polymerase δ (Pol δ), DNA polymerase ɛ (Pol ɛ), replication protein A (RPA) and replication factor C (RFC). Previously identified DNA synthesome proteins co-eluted with T-antigen dependent and SV40 origin-specific DNA polymerase activity at the same FFE fractions. Native gels show a multiprotein PCNA containing complex migrating with an apparent relative mobility in the megadalton range. When PCNA containing bands were excised from the native gel, mass spectrometric sequencing analysis identified 23 known DNA synthesome associated proteins or protein subunits.


Subject(s)
DNA-Directed DNA Polymerase/analysis , DNA-Directed DNA Polymerase/isolation & purification , Electrophoresis/methods , Multienzyme Complexes/analysis , Multienzyme Complexes/isolation & purification , Antigens, Viral, Tumor/genetics , Cell Extracts/chemistry , Cell Line, Tumor , DNA Polymerase I/isolation & purification , DNA Polymerase II/isolation & purification , DNA Polymerase III/isolation & purification , DNA Replication , DNA Topoisomerases, Type I/isolation & purification , HeLa Cells , Humans , Proliferating Cell Nuclear Antigen/analysis , Replication Origin/genetics , Replication Protein A/isolation & purification , Replication Protein C/isolation & purification , Simian virus 40/genetics
5.
Biochemistry ; 52(9): 1641-8, 2013 Mar 05.
Article in English | MEDLINE | ID: mdl-23379300

ABSTRACT

To describe the time course of cellular systems, we integrate ideas from thermodynamics and information theory to discuss the work needed to change the state of the cell. The biological example analyzed is experimental microarray transcription level oscillations of yeast in the different phases as characterized by oxygen consumption. Surprisal analysis was applied to identify groups of transcripts that oscillate in concert and thereby to compute changes in free energy with time. Three dominant transcript groups were identified by surprisal analysis. The groups correspond to the respiratory, early, and late reductive phases. Genes involved in ribosome biogenesis peaked at the respiratory phase. The work to prepare the state is shown to be the sum of the contributions of these groups. We paid particular attention to work requirements during ribosomal building, and the correlation with ATP levels and dissolved oxygen. The suggestion that cells in the respiratory phase likely build ribosomes, an energy intensive process, in preparation for protein production during the S phase of the cell cycle is validated by an experiment. Surprisal analysis thereby provided a useful tool for determining the synchronization of transcription events and energetics in a cell in real time.


Subject(s)
Biological Clocks , Gene Expression Regulation, Fungal , Ribosomes/genetics , Saccharomyces cerevisiae/genetics , Computer Simulation , Information Theory , Models, Biological , Oxygen Consumption , Ribosomes/metabolism , Saccharomyces cerevisiae/cytology , Saccharomyces cerevisiae/metabolism , Saccharomyces cerevisiae Proteins/genetics , Saccharomyces cerevisiae Proteins/metabolism , Thermodynamics , Transcription, Genetic
6.
FEBS J ; 279(6): 1119-30, 2012 Mar.
Article in English | MEDLINE | ID: mdl-22289124

ABSTRACT

Genetic and environmental factors are well-studied influences on phenotype; however, time is a variable that is rarely considered when studying changes in cellular phenotype. Time-resolved microarray data revealed genome-wide transcriptional oscillation in a yeast continuous culture system with ∼ 2 and ∼ 4 h periods. We mapped the global patterns of transcriptional oscillations into a 3D map to represent different cellular phenotypes of redox cycles. This map shows the dynamic nature of gene expression in that transcripts are ordered and coupled to each other through time and concentration space. Although cells differed in oscillation periods, transcripts involved in certain processes were conserved in a deterministic way. When oscillation period lengthened, the peak to trough ratio of transcripts increased and the fraction of cells in the unbudded (G0/G1) phase of the cell division cycle increased. Decreasing the glucose level in the culture medium was one way to increase the redox cycle, possibly from changes in metabolic flux. The period may be responding to lower glucose levels by increasing the fraction of cells in G1 and reducing S-phase gating so that cells can spend more time in catabolic processes. Our results support that gene transcripts are coordinated with metabolic functions and the cell division cycle.


Subject(s)
Genome, Fungal , Phenotype , Saccharomyces cerevisiae/genetics , Transcription, Genetic , Cell Cycle , G1 Phase , Gene Expression , S Phase , Saccharomyces cerevisiae/metabolism
7.
FEBS J ; 275(10): 2372-84, 2008 May.
Article in English | MEDLINE | ID: mdl-18410382

ABSTRACT

The finding of a genome-wide oscillation in transcription that gates cells into S phase and coordinates mitochondrial and metabolic functions has altered our understanding of how the cell cycle is timed and how stable cellular phenotypes are maintained. Here we present the evidence and arguments in support of the idea that everything oscillates, and the rationale for viewing the cell as an attractor from which deterministic noise can be tuned by appropriate coupling among the many feedback loops, or regulons, that make up the transcriptional-respiratory attractor cycle. The existence of this attractor also explains many of the dynamic macroscopic properties of the cell cycle and appears to be the timekeeping oscillator in both cell cycles and circadian rhythms. The path taken by this primordial oscillator in the course of differentiation or drug response may involve period-doubling behavior. Evidence for a relatively high-frequency timekeeping oscillator in yeast and mammalian cells comes from expression array analysis, and GC/MS in the case of yeast, and primarily from macroscopic measures of phase response to perturbation in the case of mammalian cells. Low-amplitude, genome-wide oscillations, a ubiquitous but often unrecognized attribute of phenotype, may be a source of seemingly intractable biological noise in microarray and proteomic studies. These oscillations in transcript and protein levels and the repeated cycles of synthesis and degradation they require, represent a high energy cost to the cell which must, from an evolutionary point of view, be recovered as essential information. We suggest that the information contained in this genome-wide oscillation is the dynamic code that organizes a stable phenotype from an otherwise passive genome.


Subject(s)
Biological Clocks/physiology , Cell Cycle , Gene Expression Regulation , Stochastic Processes , Transcription, Genetic , Cell Communication , Circadian Rhythm/physiology , Gene Expression Profiling , Genome , Phenotype
8.
Methods Mol Biol ; 377: 75-94, 2007.
Article in English | MEDLINE | ID: mdl-17634610

ABSTRACT

Recent findings of a genome-wide oscillation involving the transcriptome of the budding yeast Saccharomyces cerevisiae suggest that the most promising path to an understanding of the cell as a dynamic system will proceed from carefully designed time-series sampling followed by the development of signal-processing methods suited to molecular biological datasets. When everything oscillates, conventional biostatistical approaches fall short in identifying functional relationships among genes and their transcripts. Worse, based as they are on steady-state assumptions, such approaches may be misleading. In this chapter, we describe the continuous gated synchrony system and the experiments leading to the concept of genome-wide oscillations, and suggest methods of analysis better suited to dissection of oscillating systems. Using a yeast continuous-culture system, the most precise and stable biological system extant, we explore analytical tools such as wavelet multiresolution decomposition, Fourier analysis, and singular value decomposition to uncover the dynamic architecture of phenotype.


Subject(s)
Molecular Biology/methods , Oligonucleotide Array Sequence Analysis/methods , Research Design , Signal Transduction , Genome, Fungal , Saccharomyces cerevisiae/cytology , Saccharomyces cerevisiae/genetics , Saccharomyces cerevisiae/metabolism , Time Factors , Transcription, Genetic
9.
Proc Natl Acad Sci U S A ; 103(44): 16254-9, 2006 Oct 31.
Article in English | MEDLINE | ID: mdl-17043222

ABSTRACT

Perturbation of the gated-synchrony system in yeast with phenelzine, an antidepressant drug used in the treatment of affective disorders in humans, leads to a rapid lengthening in the period of the genome-wide transcriptional oscillation. The effect is a concerted, genome-scale change in expression that is first seen in genes maximally expressed in the late-reductive phase of the cycle, doubling the length of the reductive phase within two cycles after treatment. Clustering of genes based on their temporal patterns of expression yielded just three super clusters whose trajectories through time could then be mapped into a simple 3D figure. In contrast to transcripts in the late-reductive phase, most transcripts do not show transients in expression relative to others in their temporal cluster but change their period in a concerted fashion. Mapping the trajectories of the transcripts into low-dimensional surfaces that can be represented by simple systems of differential equations provides a readily testable model of the dynamic architecture of phenotype. In this system, period doubling may be a preferred pathway for phenotypic change. As a practical matter, low-amplitude, genome-wide oscillations, a ubiquitous but often unrecognized attribute of phenotype, could be a source of seemingly intractable biological noise in microarray studies.


Subject(s)
Genome, Fungal/genetics , Phenotype , Saccharomyces cerevisiae/genetics , Transcription, Genetic/genetics , Cell Division , Models, Genetic , Oxygen/metabolism , Saccharomyces cerevisiae/cytology , Saccharomyces cerevisiae/metabolism , Time Factors
10.
Mol Cell Biol ; 23(8): 2733-48, 2003 Apr.
Article in English | MEDLINE | ID: mdl-12665575

ABSTRACT

The large subunit of Saccharomyces cerevisiae DNA polymerase epsilon, Pol2, comprises two essential functions. The N terminus has essential DNA polymerase activity. The C terminus is also essential, but its function is unknown. We report here that the C-terminal domain of Pol2 interacts with polymerase sigma (Pol sigma), a recently identified, essential nuclear nucleotidyl transferase encoded by two redundant genes, TRF4 and TRF5. This interaction is functional, since Pol sigma stimulates the polymerase activity of the Pol epsilon holoenzyme significantly. Since Trf4 is required for sister chromatid cohesion as well as for completion of S phase and repair, the interaction suggested that Pol epsilon, like Pol sigma, might form a link between the replication apparatus and sister chromatid cohesion and/or repair machinery. We present evidence that pol2 mutants are defective in sister chromatid cohesion. In addition, Pol2 interacts with SMC1, a subunit of the cohesin complex, and with ECO1/CTF7, required for establishing sister chromatid cohesion; and pol2 mutations act synergistically with smc1 and scc1. We also show that trf5 Delta mutants, like trf4 Delta mutants, are defective in DNA repair and sister chromatid cohesion.


Subject(s)
DNA Nucleotidyltransferases/metabolism , DNA Polymerase II/metabolism , Saccharomyces cerevisiae/enzymology , Saccharomyces cerevisiae/genetics , Amino Acid Sequence , Animals , Base Sequence , Binding Sites , Cell Cycle Proteins/chemistry , Cell Cycle Proteins/genetics , Cell Cycle Proteins/metabolism , Cell Line , Chromatids/physiology , Chromosomal Proteins, Non-Histone/chemistry , Chromosomal Proteins, Non-Histone/genetics , Chromosomal Proteins, Non-Histone/metabolism , DNA Nucleotidyltransferases/chemistry , DNA Nucleotidyltransferases/genetics , DNA Polymerase II/chemistry , DNA Polymerase II/genetics , DNA Repair , DNA, Fungal/biosynthesis , DNA, Fungal/genetics , DNA-Directed DNA Polymerase/chemistry , DNA-Directed DNA Polymerase/genetics , DNA-Directed DNA Polymerase/metabolism , Genes, Fungal , Molecular Sequence Data , Mutation , Nuclear Proteins/chemistry , Nuclear Proteins/genetics , Nuclear Proteins/metabolism , Plasmids/genetics , Recombinant Proteins/chemistry , Recombinant Proteins/genetics , Recombinant Proteins/metabolism , Saccharomyces cerevisiae Proteins/chemistry , Saccharomyces cerevisiae Proteins/genetics , Saccharomyces cerevisiae Proteins/metabolism , Sequence Homology, Amino Acid , Two-Hybrid System Techniques
11.
J Biol Chem ; 277(10): 7889-96, 2002 Mar 08.
Article in English | MEDLINE | ID: mdl-11756442

ABSTRACT

DNA polymerase epsilon (pol epsilon) is a multiple subunit complex consisting of at least four proteins, including catalytic Pol2p, Dpb2p, Dpb3p, and Dpb4p. Pol epsilon has been shown to play essential roles in chromosomal DNA replication. Here, we report reconstitution of the yeast pol epsilon complex, which was expressed and purified from baculovirus-infected insect cells. During the purification, we were able to resolve the pol epsilon complex and truncated Pol2p (140 kDa), as was observed initially with the pol epsilon purified from yeast. Biochemical characterization of subunit stoichiometry, salt sensitivity, processivity, and stimulation by proliferating cell nuclear antigen indicates that the reconstituted pol epsilon is functionally identical to native pol epsilon purified from yeast and is therefore useful for biochemical characterization of the interactions of pol epsilon with other replication, recombination, and repair proteins. Identification and characterization of a proliferating cell nuclear antigen consensus interaction domain on Pol2p indicates that the motif is dispensable for DNA replication but is important for methyl methanesulfonate damage-induced DNA repair. Analysis of the putative zinc finger domain of Pol2p for zinc binding capacity demonstrates that it binds zinc. Mutations of the conserved cysteines in the putative zinc finger domain reduced zinc binding, indicating that cysteine ligands are directly involved in binding zinc.


Subject(s)
DNA Polymerase II/metabolism , Saccharomyces cerevisiae/enzymology , Amino Acid Motifs , Amino Acid Sequence , Animals , Baculoviridae/metabolism , Cell Division , Cell Line , Cell Survival , Cysteine/chemistry , DNA/metabolism , DNA Polymerase II/chemistry , DNA Repair , Dose-Response Relationship, Drug , Insecta , Molecular Sequence Data , Mutation , Proliferating Cell Nuclear Antigen/metabolism , Protein Binding , Protein Structure, Tertiary , Recombinant Fusion Proteins/metabolism , Sequence Homology, Amino Acid , Time Factors , Zinc/metabolism , Zinc Fingers
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