Dataset Information

Targeting DNA Mismatches with Rhodium Metalloinsertors.

ABSTRACT: DNA has been exploited as a biological target of chemotherapeutics since the 1940s. Traditional chemotherapeutics, such as cisplatin and DNA-alkylating agents, rely primarily on increased uptake by rapidly proliferating cancer cells for therapeutic effects, but this strategy can result in off-target toxicity in healthy tissue. Recently, research interests have shifted towards targeted chemotherapeutics, in which a drug targets a specific biological signature of cancer, resulting in selective toxicity towards cancerous cells. Here, we review a family of complexes, termed rhodium metalloinsertors, that selectively target DNA base pair mismatches, a hallmark of mismatch-repair (MMR) deficient cancers. These rhodium metalloinsertors, bind DNA mismatches with high specificity and display high selectively in killing MMR-deficient versus MMR-proficient cells. This cell selectivity is unique for small molecules that bind DNA. Current generations of rhodium metalloinsertors have shown nanomolar potency along with high selectivity towards MMR-deficient cells, and show promise as a foundation for a new family of chemotherapeutics for MMR-deficient cancers.

SUBMITTER: Boyle KM

PROVIDER: S-EPMC5061454 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Targeting DNA Mismatches with Rhodium Metalloinsertors.

Boyle Kelsey M KM Barton Jacqueline K JK

Inorganica chimica acta 20160116

DNA has been exploited as a biological target of chemotherapeutics since the 1940s. Traditional chemotherapeutics, such as cisplatin and DNA-alkylating agents, rely primarily on increased uptake by rapidly proliferating cancer cells for therapeutic effects, but this strategy can result in off-target toxicity in healthy tissue. Recently, research interests have shifted towards targeted chemotherapeutics, in which a drug targets a specific biological signature of cancer, resulting in selective tox ...[more]

PMID: 27746507

Similar Datasets

Project description:Transcription factors recognize specific genomic sequences to regulate complex gene-expression programs. Although it is well-established that transcription factors bind to specific DNA sequences using a combination of base readout and shape recognition, some fundamental aspects of protein-DNA binding remain poorly understood1,2. Many DNA-binding proteins induce changes in the structure of the DNA outside the intrinsic B-DNA envelope. However, how the energetic cost that is associated with distorting the DNA contributes to recognition has proven difficult to study, because the distorted DNA exists in low abundance in the unbound ensemble3-9. Here we use a high-throughput assay that we term SaMBA (saturation mismatch-binding assay) to investigate the role of DNA conformational penalties in transcription factor-DNA recognition. In SaMBA, mismatched base pairs are introduced to pre-induce structural distortions in the DNA that are much larger than those induced by changes in the Watson-Crick sequence. Notably, approximately 10% of mismatches increased transcription factor binding, and for each of the 22 transcription factors that were examined, at least one mismatch was found that increased the binding affinity. Mismatches also converted non-specific sites into high-affinity sites, and high-affinity sites into 'super sites' that exhibit stronger affinity than any known canonical binding site. Determination of high-resolution X-ray structures, combined with nuclear magnetic resonance measurements and structural analyses, showed that many of the DNA mismatches that increase binding induce distortions that are similar to those induced by protein binding-thus prepaying some of the energetic cost incurred from deforming the DNA. Our work indicates that conformational penalties are a major determinant of protein-DNA recognition, and reveals mechanisms by which mismatches can recruit transcription factors and thus modulate replication and repair activities in the cell10,11.

Dataset Information

Targeting DNA Mismatches with Rhodium Metalloinsertors.

Publications

Targeting DNA Mismatches with Rhodium Metalloinsertors.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets