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At least 595 records · Page 33Linked to original sources
PubMed1999

Guilt by association: non-coding RNAs, chromosome-specific proteins and dosage compensation in Drosophila.

Dosage compensation is a striking example of the interplay between gene-specific regulation and chromosomal architecture. This process has evolved to make X-linked gene expression equivalent in males with one X chromosome and females with two. Examining species at the molecular level has shown that dosage compensation is mediated by sex-specific factors that decorate the X chromosomes to regulate chromatin structure and gene expression. In Drosophila, dosage compensation is achieved, at least in part, through site-specific histone H4 acetylation, which is modulated by a male- and X-specific protein complex. The discovery of non-coding RNAs that 'paint' dosage-compensated X chromosomes in mammals and in Drosophila suggests that RNAs play an intriguing, unexpected role in the regulation of chromatin structure and gene expression.

Animals↗
PubMed2000

Guilt by association: the arginine case revisited.

If the genetic code arose in an RNA world, present codon assignments may reflect primordial RNA-amino acid affinities. Whether aptamers selected from random pools to bind free amino acids do so using the cognate codons at their binding sites has been controversial. Here we defend and extend our previous analysis of arginine binding sites, and propose a model for the maintenance of codon-amino acid interactions through the evolution of amino acids from ribozyme cofactors into the building blocks of proteins.

Anticodon↗
PubMed2006

Guilt by association: the nuclear envelope proteome and disease.

The discovery that many inherited diseases are linked to interacting nuclear envelope proteins has raised the possibility that human genetic studies could be assisted by a fusion with proteomics. Two principles could be applied. In the first, the proteome of an organelle associated with a genetically variable disease is determined. The chromosomal locations of the genes encoding the organellar proteins are then determined. If a related disease is linked to a large chromosomal region that includes a gene identified in the organelle, then that gene has an increased likelihood of causing the disease. Directly sequencing this allele from patient samples might speed identification compared with further genetic linkage studies as has been demonstrated for multiple diseases associated with the nuclear envelope. The second principle is that if an organelle has been implicated in the pathology of a particular disorder, then comparison of the organelle proteome from control and patient cells might highlight differences that could indicate the causative protein. The distinct, tissue-specific pathologies associated with nuclear envelope diseases suggest that many tissues will have a set of disorders linked to this organelle, and there are numerous as yet unmapped or partially mapped syndromes that could benefit from such an approach.

Disease↗
PubMed2002

The jury is out on "guilt by association" trials.

The availability of comprehensive protein-protein interaction maps will significantly enhance medical research and aid the functional characterisation of novel genes. To date, the largest scale studies of protein-protein interactions have used the yeast two hybrid method. In this review we take a closer look at the different approaches used in these studies and discuss some key considerations that should be taken into account when designing high throughput interaction mapping projects.

Genome↗