Abstract: Described herein are methods and compositions for producing a gene of interest (GOI) which, in certain embodiments, can reduce the metabolic burden on cells and reduce decoupling of GOI production from marker production, as compared to prior art methods. The methods relate to positive selection and negative selection approaches to establishing high GOI-producing cell lines, e.g., CHO lines. In certain embodiments, the methods comprise transfecting a cell with (a) an oligonucleotide comprising a GOI and a non-coding RNA, and (b) an oligonucleotide encoding a selection protein; wherein the non-coding RNA promotes or inhibits production of the selection protein. The cell producing the GOI can be identified and/or selected as a result of or by detecting the absence or the presence of the selection protein.

Abstract: Disclosed are RNA constructs which function to activate or inactivate a biological process, e.g., may be designed for attachment to a polypeptide coding region. Such RNA constructs modulate translation of a polypeptide from the coding region in response to the presence of a target polynucleotide in an expression environment. Such RNA constructs include a weakened stem-loop structure which, when bound to the target polynucleotide, assumes stem-loop secondary structure and associates with an RNA binding protein. Association with the RNA binding protein modulates translation of the polypeptide coding region. Such RNA constructs also have three-way junction joining regions 3? and 5? of the stem-loop structure.

Abstract: Disclosed are RNA constructs which function to activate or inactivate a biological process, e.g., may be designed for attachment to a polypeptide coding region. Such RNA constructs modulate translation of a polypeptide from the coding region in response to the presence of a target polynucleotide in an expression environment. Such RNA constructs include a weakened stem-loop structure which, when bound to the target polynucleotide, assumes stem-loop secondary structure and associates with an RNA binding protein. Association with the RNA binding protein modulates translation of the polypeptide coding region. Such RNA constructs also have three-way junction joining regions 3? and 5? of the stem-loop structure.

Abstract: Disclosed are RNA constructs which function to activate or inactivate a biological process, e.g., may be designed for attachment to a polypeptide coding region. Such RNA constructs modulate translation of a polypeptide from the coding region in response to the presence of a target polynucleotide in an expression environment. Such RNA constructs include a weakened stem-loop structure which, when bound to the target polynucleotide, assumes stem-loop secondary structure and associates with an RNA binding protein. Association with the RNA binding protein modulates translation of the polypeptide coding region. Such RNA constructs also have three-way junction joining regions 3? and 5? of the stem-loop structure.

Abstract: The identification and evaluation of mRNA and protein targets associated with mRNP complexes and implicated in the expression of proteins involved in common physiological pathways is described. Effective targets are useful for treating a disease, condition or disorder associated with the physiological pathway.

Abstract: Disclosed are RNA constructs which function to activate or inactivate a biological process, e.g., may be designed for attachment to a polypeptide coding region. Such RNA constructs modulate translation of a polypeptide from the coding region in response to the presence of a target polynucleotide in an expression environment. Such RNA constructs include a weakened stem-loop structure which, when bound to the target polynucleotide, assumes stem-loop secondary structure and associates with an RNA binding protein. Association with the RNA binding protein modulates translation of the polypeptide coding region. Such RNA constructs also have three-way junction joining regions 3? and 5? of the stem-loop structure.

Abstract: Cellular mRNA-protein (mRNP) complexes are partitioned in vivo by contacting a biological sample with at least one ligand that specifically binds at least one component of a mRNP complex. Suitable biological samples comprise at least one mRNA-protein (mRNP) complex and include cell cultures, cell extracts, and whole tissue, including tumor tissue. Ligands include antibodies that specifically bind RNA-binding or RNA-associated proteins present in the mRNP complex. The mRNP complex is separated by binding the ligand with a binding molecule specific for the ligand, where the binding molecule is attached to a solid support. The mRNP complex is collected by removing the mRNP complex from the solid support. After collecting the mRNP complex, the mRNA bound within the complex may be characterized and identified. Subsets of the total mRNA population of a cell may accordingly be characterized, and a gene expression profile of the cell obtained.

Abstract: The identification and evaluation of mRNA and protein targets associated with mRNP complexes and implicated in the expression of proteins involved in common physiological pathways is described. Effective targets are useful for treating a disease, condition or disorder associated with the physiological pathway.

Abstract: Cellular mRNA-protein (mRNP) complexes are partitioned in vivo by contacting a biological sample with at least one ligand that specifically binds at least one component of a mRNP complex. Suitable biological samples comprise at least one mRNA-protein (mRNP) complex and include cell cultures, cell extracts, and whole tissue, including tumor tissue. Ligands include antibodies that specifically bind RNA-binding or RNA-associated proteins present in the mRNP complex. The mRNP complex is separated by binding the ligand with a binding molecule specific for the ligand, where the binding molecule is attached to a solid support. The mRNP complex is collected by removing the mRNP complex from the solid support. After collecting the mRNP complex, the mRNA bound within the complex may be characterized and identified. Subsets of the total mRNA population of a cell may accordingly be characterized, and a gene expression profile of the cell obtained.

Abstract: Processing of genomic data is facilitated by providing a storage device with a database having a segmented sequence table. The table has a plurality of data subsets of common nucleotide sequence size n, wherein?2, and each data subset of common nucleotide sequence n is separately indexed within the table. A database manager associated with the database retrieves a selected nucleotide sequence locus from the table. The selected nucleotide sequence locus is sized differently from the common nucleotide sequence size n, and the retrieving includes identifying each data subset of the segmented sequence table containing at least a portion of the selected nucleotide sequence locus, and retrieving the identified data subsets. The database manager processes the retrieved, identified data subsets to remove genomic data mapped to the nucleotide positions outside the selected nucleotide sequence locus, and outputs the selected nucleotide sequence locus.

Abstract: Processing of genomic data is provided utilizing correlation analysis of first and second nucleotide loci employing a selected comparison type and value. The comparison type is either intersection or proximity type, and the comparison value is either a number (n) of nucleotide positions, wherein n?1, or a percent number (pn) of nucleotide positions, wherein pn?0, to be employed in comparing the loci. When intersection type is selected, correlation is defined by the loci overlapping with at least the number (n) of nucleotide positions in common, or by the loci overlapping with at least the percent number (pn) of nucleotide positions in common relative to a smaller one of the first and second loci, or when proximity type is selected, correlation is defined by the first and second loci being within at least the number (n) of nucleotide positions.

Abstract: Processing of genomic data is facilitated by providing a control data set generation system wherein a control generator tool or process creates matched data sets for facilitating informatics analysis. These matched data sets may include genomic loci or genomic sequences, or both. The data is taken from a database of actual genomic data, including sequence and annotation data, as opposed to ad-hoc generation, sequence scrambling or the like. This produces biologically relevant and accurate results which allow for stronger controls. The controls are matched against a user-provided data set via a number of parameters.

Abstract: Processing of genomic data is facilitated utilizing correlation analysis of mapped data sets, each data set including genomic data mapped and ordered relative to a genomic coordinate system. Correlation analysis identifies at a nucleotide level nucleotide positions wherein at least one nucleotide locus of each data set correlate. The analysis includes for each data set, selecting a nucleotide locus thereof closest to one end of the coordinate system, comparing the selected nucleotide loci for correlation, and if so, outputting results of the comparing, and updating the selected nucleotide loci by identifying the data set having a next nucleotide locus closest to the one end of the coordinate system, and inserting that next locus into the group of selected loci, and repeating the comparing for the newly selected loci. The process is repeated until nucleotide loci of the mapped data sets are compared and results of the comparison are output.

Abstract: Cellular mRNA-protein (mRNP) complexes are partitioned in vivo by contacting a biological sample with at least one ligand that specifically binds at least one component of a mRNP complex. Suitable biological samples comprise at least one mRNA-protein (mRNP) complex and include cell cultures, cell extracts, and whole tissue, including tumor tissue. Ligands include antibodies that specifically bind RNA-binding or RNA-associated proteins present in the mRNP complex. The mRNP complex is separated by binding the ligand with a binding molecule specific for the ligand, where the binding molecule is attached to a solid support. The mRNP complex is collected by removing the mRNP complex from the solid support. After collecting the mRNP complex, the mRNA bound within the complex may be characterized and identified. Subsets of the total mRNA population of a cell may accordingly be characterized, and a gene expression profile of the cell obtained.

Abstract: Cellular mRNA-protein (mRNP) complexes are partitioned in vivo by contacting a biological sample with at least one ligand that specifically binds at least one component of a mRNP complex. Suitable biological samples comprise at least one mRNA-protein (mRNP) complex and include cell cultures, cell extracts, and whole tissue, including tumor tissue. Ligands include antibodies that specifically bind RNA-binding or RNA-associated proteins present in the mRNP complex. The mRNP complex is separated by binding the ligand with a binding molecule specific for the ligand, where the binding molecule is attached to a solid support. The mRNP complex is collected by removing the mRNP complex from the solid support. After collecting the mRNP complex, the mRNA bound within the complex may be characterized and identified. Subsets of the total mRNA population of a cell may accordingly be characterized, and a gene expression profile of the cell obtained.

Abstract: Compositions and methods for identifying and/or modulating RNA transcripts and/or genes involved in fragile X syndrome and other associated disorders are provided. In particular, RNA targets for fragile X mental retardation protein (FMRP) have been identified by a novel monoclonal antibody to FMRP and a consensus sequence for the RNA binding region has been identified. Arrays for identifying compounds, proteins, nucleotides, and the like that modulate the RNA targets or associated genes are provided. Additionally, methods for modulating RNA targets are provided.

Abstract: Cellular mRNA-protein (mRNP) complexes are partitioned in vivo by contacting a biological sample with at least one ligand that specifically binds at least one component of a mRNP complex. Suitable biological samples comprise at least one mRNA-protein (mRNP) complex and include cell cultures, cell extracts, and whole tissue, including tumor tissue. Ligands include antibodies that specifically bind RNA-binding or RNA-associated proteins present in the mRNP complex. The mRNP complex is separated by binding the ligand with a binding molecule specific for the ligand, where the binding molecule is attached to a solid support. The mRNP complex is collected by removing the mRNP complex from the solid support. After collecting the mRNP complex, the mRNA bound within the complex may be characterized and identified. Subsets of the total mRNA population of a cell may accordingly be characterized, and a gene expression profile of the cell obtained.

Abstract: Cellular mRNA-protein (mRNP) complexes are partitioned in vivo by contacting a biological sample with at least one ligand that specifically binds at least one component of a mRNP complex. Suitable biological samples comprise at least one mRNA-protein (mRNP) complex and include cell cultures, cell extracts, and whole tissue, including tumor tissue. Ligands include antibodies that specifically bind RNA-binding or RNA-associated proteins present in the mRNP complex. The mRNP complex is separated by binding the ligand with a binding molecule specific for the ligand, where the binding molecule is attached to a solid support. The mRNP complex is collected by removing the mRNP complex from the solid support. After collecting the mRNP complex, the mRNA bound within the complex may be characterized and identified. Subsets of the total mRNA population of a cell may accordingly be characterized, and a gene expression profile of the cell obtained.

Abstract: Cellular mRNA-protein (mRNP) complexes are partitioned in vivo by contacting a biological sample with at least one ligand that specifically binds at least one component of a mRNP complex. Suitable biological samples comprise at least one mRNA-protein (mRNP) complex and include cell cultures, cell extracts, and whole tissue, including tumor tissue. Ligands include antibodies that specifically bind RNA-binding or RNA-associated proteins present in the mRNP complex. The mRNP complex is separated by binding the ligand with a binding molecule specific for the ligand, where the binding molecule is attached to a solid support. The mRNP complex is collected by removing the mRNP complex from the solid support. After collecting the mRNP complex, the mRNA bound within the complex may be characterized and identified. Subsets of the total mRNA population of a cell may accordingly be characterized, and a gene expression profile of the cell obtained.

Abstract: The identification and evaluation of mRNA and protein targets associated with mRNP complexes and implicated in the expression of proteins involved in common physiological pathways is described. Effective targets are useful for treating a disease, condition or disorder associated with the physiological pathway.