Mutations in ATP1A3 cause Alternating Hemiplegia of Childhood (AHC) by disrupting function of the... more Mutations in ATP1A3 cause Alternating Hemiplegia of Childhood (AHC) by disrupting function of the neuronal Na+/K+ ATPase. Published studies to date indicate 2 recurrent mutations, D801N and E815K, and a more severe phenotype in the E815K cohort. We performed mutation analysis and retrospective genotype-phenotype correlations in all eligible patients with AHC enrolled in the US AHC Foundation registry from 1997-2012. Clinical data were abstracted from standardized caregivers' questionnaires and medical records and confirmed by expert clinicians. We identified ATP1A3 mutations by Sanger and whole genome sequencing, and compared phenotypes within and between 4 groups of subjects, those with D801N, E815K, other ATP1A3 or no ATP1A3 mutations. We identified heterozygous ATP1A3 mutations in 154 of 187 (82%) AHC patients. Of 34 unique mutations, 31 (91%) are missense, and 16 (47%) had not been previously reported. Concordant with prior studies, more than 2/3 of all mutations are cluster...
The complex of central problems in data analysis consists of three components: (1) detecting the ... more The complex of central problems in data analysis consists of three components: (1) detecting the dependence of variables using quantitative measures, (2) defining the significance of these dependence measures, and (3) inferring the functional relationships among dependent variables. We have argued previously that an information theory approach allows separation of the detection problem from the inference of functional form problem. We approach here the third component of inferring functional forms based on information encoded in the functions. We present here a direct method for classifying the functional forms of discrete functions of three variables represented in data sets. Discrete variables are frequently encountered in data analysis, both as the result of inherently categorical variables and from the binning of continuous numerical variables into discrete alphabets of values. The fundamental question of how much information is contained in a given function is answered for these discrete functions , and their surprisingly complex relationships are illustrated. The all-important effect of noise on the inference of function classes is found to be highly heterogeneous and reveals some unexpected patterns. We apply this classification approach to an important area of biological data analysis-that of inference of genetic interactions. Genetic analysis provides a rich source of real and complex biological data analysis problems, and our general methods provide an analytical basis and tools for characterizing genetic problems and for analyzing genetic data. We illustrate the functional description and the classes of a number of common genetic interaction modes and also show how different modes vary widely in their sensitivity to noise.
Extracellular RNAs (exRNAs) have been identified in all tested biofluids and have been associated... more Extracellular RNAs (exRNAs) have been identified in all tested biofluids and have been associated with a variety of extracellular vesicles, ribonucleoprotein complexes and lipoprotein complexes. Much of the interest in exRNAs lies in the fact that they may serve as signalling molecules between cells, their potential to serve as biomarkers for prediction and diagnosis of disease and the possibility that exRNAs or the extracellular particles that carry them might be used for therapeutic purposes. Among the most significant bottlenecks to progress in this field is the lack of robust and standardized methods for collection and processing of biofluids, separation of different types of exRNA-containing particles and isolation and analysis of exRNAs. The Sample and Assay Standards Working Group of the Extracellular RNA Communication Consortium is a group of laboratories funded by the U.S. National Institutes of Health to develop such methods. In our first joint endeavour, we held a series ...
The integration host factor of Escherichia coli (IHF) is a small, histone-like protein which part... more The integration host factor of Escherichia coli (IHF) is a small, histone-like protein which participates in the integration of bacteriophage lambda into the E. coli chromosome and in a number of regulatory processes. Our recent footprinting analysis has shown that IHF binds specifically to the ends of the transposable element IS1, as well as to several sites within a short segment of the plasmid pBR322. We have extended our studies of the binding of the IHF molecule to these sites in vitro using a gel retardation assay. We report here that IHF bends the DNA upon binding, as judged from the strong cyclic dependence of the protein-induced mobility shift on the position of the binding site. Using cloned, synthetic ends of IS1 as substrates, we have found that some mutations within the conserved bases of the IHF consensus binding sequence abolish binding, and that alterations of the flanking sequences can greatly reduce IHF binding. The presence of multiple IHF sites on a single DNA fr...
Genomic technologies are best defined as technologies used to manipulate and analyze genomic info... more Genomic technologies are best defined as technologies used to manipulate and analyze genomic information. The evolution of this collective power began in earnest with the invention of DNA cloning in the 1970's and most of the technology derives from the last quarter of the 20th century. The historical impact of these technologies is clearly immense. With the genome sequence becoming available for many organisms, including humans, another new view of biology has recently emerged. This review examines the shape and texture of this recent evolution, with a particular emphasis on new technology: DNA cloning, macromolecular structure analysis (X-ray crystallography and NMR), DNA sequencing, DNA synthesis, amplification by the polymerase chain reaction, and transgenic animals (bacteria through mammals).
Mutations in ATP1A3 cause Alternating Hemiplegia of Childhood (AHC) by disrupting function of the... more Mutations in ATP1A3 cause Alternating Hemiplegia of Childhood (AHC) by disrupting function of the neuronal Na+/K+ ATPase. Published studies to date indicate 2 recurrent mutations, D801N and E815K, and a more severe phenotype in the E815K cohort. We performed mutation analysis and retrospective genotype-phenotype correlations in all eligible patients with AHC enrolled in the US AHC Foundation registry from 1997-2012. Clinical data were abstracted from standardized caregivers' questionnaires and medical records and confirmed by expert clinicians. We identified ATP1A3 mutations by Sanger and whole genome sequencing, and compared phenotypes within and between 4 groups of subjects, those with D801N, E815K, other ATP1A3 or no ATP1A3 mutations. We identified heterozygous ATP1A3 mutations in 154 of 187 (82%) AHC patients. Of 34 unique mutations, 31 (91%) are missense, and 16 (47%) had not been previously reported. Concordant with prior studies, more than 2/3 of all mutations are cluster...
The complex of central problems in data analysis consists of three components: (1) detecting the ... more The complex of central problems in data analysis consists of three components: (1) detecting the dependence of variables using quantitative measures, (2) defining the significance of these dependence measures, and (3) inferring the functional relationships among dependent variables. We have argued previously that an information theory approach allows separation of the detection problem from the inference of functional form problem. We approach here the third component of inferring functional forms based on information encoded in the functions. We present here a direct method for classifying the functional forms of discrete functions of three variables represented in data sets. Discrete variables are frequently encountered in data analysis, both as the result of inherently categorical variables and from the binning of continuous numerical variables into discrete alphabets of values. The fundamental question of how much information is contained in a given function is answered for these discrete functions , and their surprisingly complex relationships are illustrated. The all-important effect of noise on the inference of function classes is found to be highly heterogeneous and reveals some unexpected patterns. We apply this classification approach to an important area of biological data analysis-that of inference of genetic interactions. Genetic analysis provides a rich source of real and complex biological data analysis problems, and our general methods provide an analytical basis and tools for characterizing genetic problems and for analyzing genetic data. We illustrate the functional description and the classes of a number of common genetic interaction modes and also show how different modes vary widely in their sensitivity to noise.
Extracellular RNAs (exRNAs) have been identified in all tested biofluids and have been associated... more Extracellular RNAs (exRNAs) have been identified in all tested biofluids and have been associated with a variety of extracellular vesicles, ribonucleoprotein complexes and lipoprotein complexes. Much of the interest in exRNAs lies in the fact that they may serve as signalling molecules between cells, their potential to serve as biomarkers for prediction and diagnosis of disease and the possibility that exRNAs or the extracellular particles that carry them might be used for therapeutic purposes. Among the most significant bottlenecks to progress in this field is the lack of robust and standardized methods for collection and processing of biofluids, separation of different types of exRNA-containing particles and isolation and analysis of exRNAs. The Sample and Assay Standards Working Group of the Extracellular RNA Communication Consortium is a group of laboratories funded by the U.S. National Institutes of Health to develop such methods. In our first joint endeavour, we held a series ...
The integration host factor of Escherichia coli (IHF) is a small, histone-like protein which part... more The integration host factor of Escherichia coli (IHF) is a small, histone-like protein which participates in the integration of bacteriophage lambda into the E. coli chromosome and in a number of regulatory processes. Our recent footprinting analysis has shown that IHF binds specifically to the ends of the transposable element IS1, as well as to several sites within a short segment of the plasmid pBR322. We have extended our studies of the binding of the IHF molecule to these sites in vitro using a gel retardation assay. We report here that IHF bends the DNA upon binding, as judged from the strong cyclic dependence of the protein-induced mobility shift on the position of the binding site. Using cloned, synthetic ends of IS1 as substrates, we have found that some mutations within the conserved bases of the IHF consensus binding sequence abolish binding, and that alterations of the flanking sequences can greatly reduce IHF binding. The presence of multiple IHF sites on a single DNA fr...
Genomic technologies are best defined as technologies used to manipulate and analyze genomic info... more Genomic technologies are best defined as technologies used to manipulate and analyze genomic information. The evolution of this collective power began in earnest with the invention of DNA cloning in the 1970's and most of the technology derives from the last quarter of the 20th century. The historical impact of these technologies is clearly immense. With the genome sequence becoming available for many organisms, including humans, another new view of biology has recently emerged. This review examines the shape and texture of this recent evolution, with a particular emphasis on new technology: DNA cloning, macromolecular structure analysis (X-ray crystallography and NMR), DNA sequencing, DNA synthesis, amplification by the polymerase chain reaction, and transgenic animals (bacteria through mammals).
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Papers by David Galas