Biomedical subjects

Rebecca L Margraf

Publications and source records attributed to Rebecca L Margraf.

5 recordsLinked to original sources

PubMed2006

Transcriptional control of Pactolus: evidence of a negative control region and comparison with its evolutionary paralogue, CD18 (beta2 integrin).

The mouse Pactolus and CD18 genes are highly conserved paralogues. The expression patterns of these genes are diverse in that most cells of hematopoietic lineage express CD18, but Pactolus is only expressed by maturing neutrophils. The minimal promoters of these two genes are homologous, including the conservation of two tandem PU.1-binding sites upstream of the transcriptional start site. To define the means by which these two structurally similar but functionally distinct promoters operate, a series of reporter assays, electrophoretic mobility shift assay (EMSA) and chromatin immunoprecipitation analyses, were performed. Transfection of Pactolus constructs into mouse macrophages, which do not express Pactolus, defined a negative control element within the first 100 base pairs. The presence of this negative regulatory site, distinct from the PU.1-binding site, was confirmed by EMSA oligonucleotide competition and gene reporter assays of Pactolus/CD18 chimeric constructs. Although PU.1 binding can be detected on Pactolus and CD18 minimal promoter segments with EMSA, only the CD18 promoter shows PU.1 binding in vivo, suggesting that the negative regulatory protein may block PU.1 from binding to the Pactolus promoter, thus inhibiting transcription of the gene. Sequence analysis of the negative control region in the Pactolus promoter suggested potential control by Snail and/or Smad families of transcription regulators. EMSA supershift analysis with antibodies against these proteins, using extracts from macrophages and mucosal mast cells, identified specific binding of Smuc to the promoter element, including a Smuc/PU.1/DNA trimeric complex. These data implicate Smuc as blocking Pactolus transcription in cells expressing PU.1 (and CD18) but not Pactolus.

Animals↗

PubMed2006

Masking selected sequence variation by incorporating mismatches into melting analysis probes.

Hybridization probe melting analysis can be complicated by the presence of sequence variation (benign polymorphisms or other mutations) near the targeted mutation. We investigated the use of "masking" probes to differentiate alleles with similar probe melting temperatures. Selected sequence variation was masked by incorporating mismatches (deletion, unmatched nucleotide, or universal base) into hybridization probes at the polymorphic location. Such masking probes create a probe/target mismatch with all possible alleles at the selected polymorphic location. Any allele with additional variation at another site is identified by a lower probe melting temperature than alleles that vary only at the masked position. This "masking technique" was applied to RET protooncogene and HPA6 mutation detection using unlabeled hybridization probes, a saturating dsDNA dye, and high-resolution melting analysis. Masking probes clearly distinguished all targeted mutations from polymorphisms when at least 1 base pair (bp) separated the mutation from the masked variation. We were able to mask polymorphisms immediately adjacent to mutations, except in certain cases, such as those involving single-base deletion probes when both adjacent positions had the same polymorphic nucleotides. The masking probes can also localize mutations to specific codons or nucleotide positions. Masking probes can simplify melting analysis of complex regions and eliminate the need for sequencing.

Alleles↗

PubMed2006

Mutation scanning of the RET protooncogene using high-resolution melting analysis.

BACKGROUND: Single-base pair missense mutations in exons 10, 11, 13, 14, 15, and 16 of the RET protooncogene are associated with the autosomal dominant multiple endocrine neoplasia type 2 (MEN2) syndromes: MEN2A, MEN2B, and familial medullary thyroid carcinoma. The current widely used approach for RET mutation detection is sequencing of the exons. METHODS: Because RET mutations are rare and the majority are heterozygous mutations, we investigated RET mutation detection by high-resolution amplicon melting analysis. This mutation scanning technique uses a saturating double-stranded nucleic acid binding dye, LCGreen, and the high-resolution melter, HR-1, to detect heterozygous and homozygous sequence variations. Mutant genotypes are distinguished from the wild-type genotype by an altered amplicon melting curve shape or position. RESULTS: Samples of 26 unique RET mutations, 4 nonpathogenic polymorphisms, or the wild-type genotype were available for this study. The developed RET mutation-scanning assay differentiated RET sequence variations from the wild-type genotype by altered derivative melting curve shape or position. A blinded study of 80 samples (derived from the 35 mutant, polymorphism, or wild-type samples) demonstrated that 100% of RET sequence variations were differentiated from wild-type samples. For exons 11 and 13, the nonpathogenic polymorphisms could be distinguished from the pathogenic RET mutations. Some RET mutations could be directly genotyped by the mutation scanning assay because of unique derivative melting curve shapes. CONCLUSION: RET high-resolution amplicon melting analysis is a sensitive, closed-tube assay that can detect RET protooncogene sequence variations.

Genotype↗

PubMed2004

Single-tube method for nucleic acid extraction, amplification, purification, and sequencing.

BACKGROUND: The hepatitis C virus (HCV) genotype determines patient prognosis and duration of treatment, but sequencing of the gene is lengthy and labor-intensive. We used a commercially available nucleic acid extraction system to develop a single-tube extraction-to-sequencing (STETS) method for HCV genotyping. METHODS: HCV RNA was purified and amplified in tubes coated with a solid-phase matrix that irreversibly bound nucleic acid during the extraction step. After reverse transcription-PCR, the amplicon was adsorbed to the original extraction matrix for purification and use in the subsequent sequencing reactions. RESULTS: The STETS method generated genotyping-quality sequence for a range of HCV titers from 500 to 6,000,000 IU/mL. If a viral sample was detected during real-time reverse transcription-PCR, it could be sequenced and genotyped. Read lengths >600 bases were observed with the STETS method. Mixed infections were detected and genotyped if at least 15% of the minor species was present. Combining the STETS method with consecutive sequencing provided a means of performing both forward and reverse sequencing in a single tube. CONCLUSIONS: A single-tube nucleic acid extraction-to-sequencing method, which requires less time and labor than conventional methods, generates HCV sequence data that are equivalent to conventional methods and can be used to genotype HCV.

Genotype↗

PubMed2004

Genotyping hepatitis C virus by heteroduplex mobility analysis using temperature gradient capillary electrophoresis.

The genotype of the infecting hepatitis C virus (HCV) helps determine the patient's prognosis and the duration of treatment. Heteroduplex mobility analysis (HMA) is a rapid, inexpensive method for genotyping of HCV that does not require sequencing. We developed an HMA that uses temperature gradient capillary electrophoresis (TGCE) to differentiate HCV genotypes. A 56-bp region of the HCV 5' untranslated region (UTR) that was conserved within a genotype yet whose sequence differed between genotypes was amplified for HMA-TGCE analysis. HCV amplicons of types 1, 2a, 2b, 3a, 4, and 6a were hybridized in pairs and analyzed by TGCE. Amplicons hybridized to the same subtype yielded one homoduplex peak, while hybridization of different subtypes resulted in heteroduplexes and generated multiple TGCE peaks. Heteroduplexes contain thermodynamically unstable nucleotide mismatches that reduced their TGCE mobilities compared to those of homoduplexes. Three HCV subtypes (subtypes 1a, 3a, and 4) generated unique peak patterns when they were combined with each genotype analyzed and were chosen as the reference genotypes. A blinded study with 200 HCV-infected samples was 97% accurate compared to genotyping by 5' UTR sequence analysis. The majority of discordant results were unexpected sequence variants; however, five of nine sequence variants were correctly genotyped. The assay also detected and correctly genotyped mixed HCV infections. Compared to conventional HMA, TGCE improves the resolution, with better separation of heteroduplexes and homoduplexes. All common HCV genotypes can be detected and differentiated by this HMA-TGCE assay.

Base Sequence↗