Abstract: MicroRNA genes are highly associated with chromosomal features involved in the etiology of different cancers. The perturbations in the genomic structure or chromosomal architecture of a cell caused by these cancer-associated chromosomal features can affect the expression of the miR gene(s) located in close proximity to that chromosomal feature. Evaluation of miR gene expression can therefore be used to indicate the presence of a cancer-causing chromosomal lesion in a subject. As the change in miR gene expression level caused by a cancer-associated chromosomal feature may also contribute to cancerigenesis, a given cancer can be treated by restoring the level of miR gene expression to normal. microRNA expression profiling can be used to diagnose cancer and predict whether a particular cancer is associated with an adverse prognosis. The identification of specific mutations associated with genomic regions that harbor miR genes in CLL patients provides a means for diagnosing CLL and possibly other cancers.

Abstract: MicroRNA genes are highly associated with chromosomal features involved in the etiology of different cancers. The perturbations in the genomic structure or chromosomal architecture of a cell caused by these cancer-associated chromosomal features can affect the expression of the miR gene(s) located in close proximity to that chromosomal feature. Evaluation of miR gene expression can therefore be used to indicate the presence of a cancer-causing chromosomal lesion in a subject. As the change in miR gene expression level caused by a cancer-associated chromosomal feature may also contribute to cancerigenesis, a given cancer can be treated by restoring the level of miR gene expression to normal. microRNA expression profiling can be used to diagnose cancer and predict whether a particular cancer is associated with an adverse prognosis. The identification of specific mutations associated with genomic regions that harbor miR genes in CLL patients provides a means for diagnosing CLL and possibly other cancers.

Abstract: MicroRNA genes are highly associated with chromosomal features involved in the etiology of different cancers. The perturbations in the genomic structure or chromosomal architecture of a cell caused by these cancer-associated chromosomal features can affect the expression of the miR gene(s) located in close proximity to that chromosomal feature. Evaluation of miR gene expression can therefore be used to indicate the presence of a cancer-causing chromosomal lesion in a subject. As the change in miR gene expression level caused by a cancer-associated chromosomal feature may also contribute to cancerigenesis, a given cancer can be treated by restoring the level of miR gene expression to normal. microRNA expression profiling can be used to diagnose cancer and predict whether a particular cancer is associated with an adverse prognosis. The identification of specific mutations associated with genomic regions that harbor miR genes in CLL patients provides a means for diagnosing CLL and possibly other cancers.

Abstract: MicroRNA genes are highly associated with chromosomal features involved in the etiology of different cancers. The perturbations in the genomic structure or chromosomal architecture of a cell caused by these cancer-associated chromosomal features can affect the expression of the miR gene(s) located in close proximity to that chromosomal feature. Evaluation of miR gene expression can therefore be used to indicate the presence of a cancer-causing chromosomal lesion in a subject. As the change in miR gene expression level caused by a cancer-associated chromosomal feature may also contribute to cancerigenesis, a given cancer can be treated by restoring the level of miR gene expression to normal. microRNA expression profiling can be used to diagnose cancer and predict whether a particular cancer is associated with an adverse prognosis. The identification of specific mutations associated with genomic regions that harbor miR genes in CLL patients provides a means for diagnosing CLL and possibly other cancers.

Abstract: MicroRNA genes are highly associated with chromosomal features involved in the etiology of different cancers. The perturbations in the genomic structure or chromosomal architecture of a cell caused by these cancer-associated chromosomal features can affect the expression of the miR gene(s) located in close proximity to that chromosomal feature. Evaluation of miR gene expression can therefore be used to indicate the presence of a cancer-causing chromosomal lesion in a subject. As the change in miR gene expression level caused by a cancer-associated chromosomal feature may also contribute to cancerigenesis, a given cancer can be treated by restoring the level of miR gene expression to normal. microRNA expression profiling can be used to diagnose cancer and predict whether a particular cancer is associated with an adverse prognosis. The identification of specific mutations associated with genomic regions that harbor miR genes in CLL patients provides a means for diagnosing CLL and possibly other cancers.

Abstract: MicroRNA genes are highly associated with chromosomal features involved in the etiology of different cancers. The perturbations in the genomic structure or chromosomal architecture of a cell caused by these cancer-associated chromosomal features can affect the expression of the miR gene(s) located in close proximity to that chromosomal feature. Evaluation of miR gene expression can therefore be used to indicate the presence of a cancer-causing chromosomal lesion in a subject. As the change in miR gene expression level caused by a cancer-associated chromosomal feature may also contribute to cancerigenesis, a given cancer can be treated by restoring the level of miR gene expression to normal. microRNA expression profiling can be used to diagnose cancer and predict whether a particular cancer is associated with an adverse prognosis. The identification of specific mutations associated with genomic regions that harbor miR genes in CLL patients provides a means for diagnosing CLL and possibly other cancers.

Abstract: MicroRNA genes are highly associated with chromosomal features involved in the etiology of different cancers. The perturbations in the genomic structure or chromosomal architecture of a cell caused by these cancer-associated chromosomal features can affect the expression of the miR gene(s) located in close proximity to that chromosomal feature. Evaluation of miR gene expression can therefore be used to indicate the presence of a cancer-causing chromosomal lesion in a subject. As the change in miR gene expression level caused by a cancer-associated chromosomal feature may also contribute to cancerigenesis, a given cancer can be treated by restoring the level of miR gene expression to normal. microRNA expression profiling can be used to diagnose cancer and predict whether a particular cancer is associated with an adverse prognosis. The identification of specific mutations associated with genomic regions that harbor miR genes in CLL patients provides a means for diagnosing CLL and possibly other cancers.

Abstract: MicroRNA genes are highly associated with chromosomal features involved in the etiology of different cancers. The perturbations in the genomic structure or chromosomal architecture of a cell caused by these cancer-associated chromosomal features can affect the expression of the miR gene(s) located in close proximity to that chromosomal feature. Evaluation of miR gene expression can therefore be used to indicate the presence of a cancer-causing chromosomal lesion in a subject. As the change in miR gene expression level caused by a cancer-associated chromosomal feature may also contribute to cancerigenesis, a given cancer can be treated by restoring the level of miR gene expression to normal. microRNA expression profiling can be used to diagnose cancer and predict whether a particular cancer is associated with an adverse prognosis. The identification of specific mutations associated with genomic regions that harbor miR genes in CLL patients provides a means for diagnosing CLL and possibly other cancers.

Abstract: MicroRNA genes are highly associated with chromosomal features involved in the etiology of different cancers. The perturbations in the genomic structure or chromosomal architecture of a cell caused by these cancer-associated chromosomal features can affect the expression of the miR gene(s) located in close proximity to that chromosomal feature. Evaluation of miR gene expression can therefore be used to indicate the presence of a cancer-causing chromosomal lesion in a subject. As the change in miR gene expression level caused by a cancer-associated chromosomal feature may also contribute to cancerigenesis, a given cancer can be treated by restoring the level of miR gene expression to normal. microRNA expression profiling can be used to diagnose cancer and predict whether a particular cancer is associated with an adverse prognosis. The identification of specific mutations associated with genomic regions that harbor miR genes in CLL patients provides a means for diagnosing CLL and possibly other cancers.

Abstract: MicroRNA genes are highly associated with chromosomal features involved in the etiology of different cancers. The perturbations in the genomic structure or chromosomal architecture of a cell caused by these cancer-associated chromosomal features can affect the expression of the miR gene(s) located in close proximity to that chromosomal feature. Evaluation of miR gene expression can therefore be used to indicate the presence of a cancer-causing chromosomal lesion in a subject. As the change in miR gene expression level caused by a cancer-associated chromosomal feature may also contribute to cancerigenesis, a given cancer can be treated by restoring the level of miR gene expression to normal. microRNA expression profiling can be used to diagnose cancer and predict whether a particular cancer is associated with an adverse prognosis. The identification of specific mutations associated with genomic regions that harbor miR genes in CLL patients provides a means for diagnosing CLL and possibly other cancers.

Abstract: MicroRNA genes are highly associated with chromosomal features involved in the etiology of different cancers. The perturbations in the genomic structure or chromosomal architecture of a cell caused by these cancer-associated chromosomal features can affect the expression of the miR gene(s) located in close proximity to that chromosomal feature. Evaluation of miR gene expression can therefore be used to indicate the presence of a cancer-causing chromosomal lesion in a subject. As the change in miR gene expression level caused by a cancer-associated chromosomal feature may also contribute to cancerigenesis, a given cancer can be treated by restoring the level of miR gene expression to normal. microRNA expression profiling can be used to diagnose cancer and predict whether a particular cancer is associated with an adverse prognosis. The identification of specific mutations associated with genomic regions that harbor miR genes in CLL patients provides a means for diagnosing CLL and possibly other cancers.

Abstract: This invention relates to methods and compositions for determining single nucleotide polymorphisms (SNPs) in P450 genes. In preferred embodiments, self extension of interrogation probes is prevented by using novel non self-extension probes and/or methods, thereby improving the specificity and efficiency of P450 SNP detection in target samples with minimal false positive results. The invention thus describes a variety of methods to decrease self-extension of interrogation probes. In addition, this invention provides a unique collection of P450 SNP probes on one assay, primer sequences for specific amplification of each of the seven P450 genes and amplicon control probes to evaluate whether the intended p450 gene targets were amplified successfully. The invention also describes a variety of array platforms for performing the assays of the invention; for example: CodeLink™, eSensor™, multiplex arrays with cartridges etc., all described herein.

Abstract: Methods and devices for detecting nucleic acid and protein targets on hydrogel microarrays are disclosed. Fluorophores are incorporated into the targets and detected. A linear correlation between target concentration and signal amplitude is maintained through the elimination of active enzyme amplification.

Abstract: This invention relates to methods and compositions for determining single nucleotide polymorphisms (SNPs) in P450 genes. In preferred embodiments, self extension of interrogation probes is prevented by using novel non self-extension probes and/or methods, thereby improving the specificity and efficiency of P450 SNP detection in target samples with minimal false positive results. The invention thus describes a variety of methods to decrease self-extension of interrogation probes. In addition, this invention provides a unique collection of P450 SNP probes on one assay, primer sequences for specific amplification of each of the seven P450 genes and amplicon control probes to evaluate whether the intended p450 gene targets were amplified successfully. The invention also describes a variety of array platforms for performing the assays of the invention; for example: CodeLink™, eSensor™, multiplex arrays with cartridges etc., all described herein.

Abstract: Methods and devices for detecting nucleic acid and protein targets on hydrogel microarrays are disclosed. Fluorophores are incorporated into the targets and detected. A linear correlation between target concentration and signal amplitude is maintained through the elimination of active enzyme amplification.