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PABP1 identified as an arginine methyltransferase substrate using high-density protein arrays.

ABSTRACT: The arginine methyltransferases CARM1 and PRMT1 associate with the p160 family of nuclear hormone receptor coactivators. This association enhances transcriptional activation by nuclear receptors. We describe a method for identifying arginine N-methyltransferase substrates using arrayed high-density protein membranes to perform solid-phase supported enzyme reactions in the presence of the methyl donor S-adenosyl-l-methionine. Using this screen, we identified distinct substrates for CARM1 and PRMT1. All PRMT1 substrates harbor the expected GGRGG methylation motif, whereas the peptide sequence comparisons of the CARM1 substrates revealed no such motif. The predominant CARM1 substrate identified in this screen was PABP1. We mapped the methylated region of this RNA binding molecule in vitro and demonstrate that PABP1 is indeed methylated in vivo. Prior to these findings, the only known substrate for CARM1 was histone H3. We broaden the number of CARM1 targets and suggest a role for CARM1 in regulating transcription/translation.

SUBMITTER: Lee J

PROVIDER: S-EPMC1084016 | biostudies-literature | 2002 Mar

REPOSITORIES: biostudies-literature

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PABP1 identified as an arginine methyltransferase substrate using high-density protein arrays.

Lee Jaeho J Bedford Mark T MT

EMBO reports 20020215 3

The arginine methyltransferases CARM1 and PRMT1 associate with the p160 family of nuclear hormone receptor coactivators. This association enhances transcriptional activation by nuclear receptors. We describe a method for identifying arginine N-methyltransferase substrates using arrayed high-density protein membranes to perform solid-phase supported enzyme reactions in the presence of the methyl donor S-adenosyl-l-methionine. Using this screen, we identified distinct substrates for CARM1 and PRMT ...[more]

PMID: 11850402

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Project description:Changes in DNA copy number are one of the hallmarks of the genetic instability common to most human cancers. Previous microarray-based methods have been used to identify chromosomal gains and losses; however, they are unable to genotype alleles at the level of single nucleotide polymorphisms (SNPs). Here we describe a novel algorithm that uses a recently developed high-density oligonucleotide array-based SNP genotyping method, whole genome sampling analysis (WGSA), to identify genome-wide chromosomal gains and losses at high resolution. WGSA simultaneously genotypes over 10,000 SNPs by allele-specific hybridisation to perfect match (PM) and mismatch (MM) probes synthesised on a single array. The copy number algorithm jointly uses PM intensity and discrimination ratios between paired PM and MM intensity values to identify and estimate genetic copy number changes. Values from an experimental sample are compared with SNP-specific distributions derived from a reference set containing over 100 normal individuals to gain statistical power. Genomic regions with statistically significant copy number changes can be identified using both single point analysis and contiguous point analysis of SNP intensities. We identified multiple regions of amplification and deletion using a panel of human breast cancer cell lines. We verified these results using an independent method based on quantitative polymerase chain reaction and found that our approach is both sensitive and specific and can tolerate samples which contain a mixture of both tumour and normal DNA. In addition, by using known allele frequencies from the reference set, statistically significant genomic intervals can be identified containing contiguous stretches of homozygous markers, potentially allowing the detection of regions undergoing loss of heterozygosity (LOH) without the need for a matched normal control sample. The coupling of LOH analysis, via SNP genotyping, with copy number estimations using a single array provides additional insight into the structure of genomic alterations. With mean and median inter-SNP euchromatin distances of 244 kilobases (kb) and 119 kb, respectively, this method affords a resolution that is not easily achievable with non-oligonucleotide-based experimental approaches.

Dataset Information

PABP1 identified as an arginine methyltransferase substrate using high-density protein arrays.

Publications

PABP1 identified as an arginine methyltransferase substrate using high-density protein arrays.

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