Mitochondrially generated reactive oxygen species are involved in a myriad of signaling and damaging pathways in different tissues. In addition, mitochondria are an important target of reactive oxygen and nitrogen species. Here, we discuss basic mechanisms of mitochondrial oxidant generation and removal and the main factors affecting mitochondrial redox balance. We also discuss the interaction between mitochondrial reactive oxygen and nitrogen species, and the involvement of these oxidants in mitochondrial diseases, cancer, neurological, and cardiovascular disorders.

Knobloch syndrome (KS) is an autosomal recessive disorder defined by the occurrence of high myopia, vitreoretinal degeneration with retinal detachment, macular abnormalities and occipital encephalocele. The KS causative gene had been assigned to a 4.3 cM interval at 21q22.3 by linkage analysis of a large consanguineous Brazilian family. We reconstructed the haplotypes of this family with ten additional markers (five were novel) and narrowed the candidate interval to a region of<245 kb, which contains 24 expressed sequence tags, the KIAA0958 gene and the 5' end of the COL18A1 gene. We identified a homozygous mutation at the AG consensus acceptor splice site of COL18A1 intron 1 exclusively among the 12 KS patients, which was not found among 140 control chromosomes. This mutation predicts the creation of a stop codon in exon 4 and therefore the truncation of the alpha1(XVIII) collagen short form, which was expressed in human adult retina. These findings provide evidence that KS is caused by mutations in COL18A1 which, therefore, has a major role in determining the retinal structure as well as in the closure of the neural tube. Therefore, we show for the first time that the absence of a collagen isoform impairs embryonic cell proliferation and/or migration as a primary or secondary effect.

The ability to determine the location and relative strength of all transcription-factor binding sites in a genome is important both for a comprehensive understanding of gene regulation and for effective promoter engineering in biotechnological applications. Here we present a bioinformatically driven experimental method to accurately define the DNA-binding sequence specificity of transcription factors. A generalized profile was used as a predictive quantitative model for binding sites, and its parameters were estimated from in vitro-selected ligands using standard hidden Markov model training algorithms. Computer simulations showed that several thousand low- to medium-affinity sequences are required to generate a profile of desired accuracy. To produce data on this scale, we applied high-throughput genomics methods to the biochemical problem addressed here. A method combining systematic evolution of ligands by exponential enrichment (SELEX) and serial analysis of gene expression (SAGE) protocols was coupled to an automated quality-controlled sequence extraction procedure based on Phred quality scores. This allowed the sequencing of a database of more than 10,000 potential DNA ligands for the CTF/NFI transcription factor. The resulting binding-site model defines the sequence specificity of this protein with a high degree of accuracy not achieved earlier and thereby makes it possible to identify previously unknown regulatory sequences in genomic DNA. A covariance analysis of the selected sites revealed non-independent base preferences at different nucleotide positions, providing insight into the binding mechanism.