Simultaneous detection of multiple point mutations using allele-specific oligonucleotides.

Curr Protoc Hum Genet

Genzyme Genetics, Westborough, Massachusetts, USA.

Published: September 2004

This unit describes high-throughput mutation analysis using hybridization with pooled allele-specific oligonucleotide (ASO) probes. The approach can be used to screen one gene for many allelic mutations or to screen several loci for several allelic mutations each. Because tetramethyl ammonium chloride (TMAC) is added to the hybridization solution, the melting temperature of each oligonucleotide is independent of G-C content and oligonucleotides of the same length can be hybridized simultaneously. The pooled probes will give a positive hybridization signal from any PCR-amplified DNA sample containing a sequence complementary to any of the ASOs in the pool of oligonucleotide sequences. If many PCR-amplified samples are spotted onto a single membrane, multiple individuals can then be screened simultaneously for many mutant sequences. This multiple ASO hybridization technique is appropriate only for circumstances when hybridization with any one of the pooled probes is expected to be uncommon.

Download full-text PDF

Source
http://dx.doi.org/10.1002/0471142905.hg0904s41DOI Listing

Publication Analysis

Top Keywords

hybridization pooled
8
allelic mutations
8
pooled probes
8
hybridization
5
simultaneous detection
4
detection multiple
4
multiple point
4
point mutations
4
mutations allele-specific
4
allele-specific oligonucleotides
4

Similar Publications

Single-cell long-read sequencing has transformed our understanding of isoform usage and the mutation heterogeneity between cells. Despite unbiased in-depth analysis, the low sequencing throughput often results in insufficient read coverage thereby limiting our ability to perform mutation calling for specific genes. Here, we developed a single-cell Rapid Capture Hybridization sequencing (scRaCH-seq) method that demonstrated high specificity and efficiency in capturing targeted transcripts using long-read sequencing, allowing an in-depth analysis of mutation status and transcript usage for genes of interest.

View Article and Find Full Text PDF

Effective BCDNet-based breast cancer classification model using hybrid deep learning with VGG16-based optimal feature extraction.

BMC Med Imaging

January 2025

Department of Information Technology, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.

Problem: Breast cancer is a leading cause of death among women, and early detection is crucial for improving survival rates. The manual breast cancer diagnosis utilizes more time and is subjective. Also, the previous CAD models mostly depend on manmade visual details that are complex to generalize across ultrasound images utilizing distinct techniques.

View Article and Find Full Text PDF

In order to achieve infrared aircraft detection under interference conditions, this paper proposes an infrared aircraft detection algorithm based on high-resolution feature-enhanced semantic segmentation network. Firstly, the designed location attention mechanism is utilized to enhance the current-level feature map by obtaining correlation weights between pixels at different positions. Then, it is fused with the high-level feature map rich in semantic features to construct a location attention feature fusion network, thereby enhancing the representation capability of target features.

View Article and Find Full Text PDF

Objective: Prior studies have been contradictory on the role of human papillomavirus (HPV) infection in sinonasal inverted papilloma (SNIP) recurrence. This systematic review and meta-analysis was performed to further evaluate this potential association.

Data Sources: PubMed, Embase, and Scopus electronic databases.

View Article and Find Full Text PDF

Enrolling adequate numbers of patients into the control arm of randomized controlled trials (RCTs) often presents barriers. There is interest in leveraging real-world data (RWD) from electronic health records (EHRs) to construct external control (EC) arms to supplement RCT control arms and form hybrid control (HC) arms. This investigation showed the use of an HC arm in second-line metastatic pancreatic ductal adenocarcinoma (PDAC).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!