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Rare Mutation Detection in Blood Plasma Using sRCA Molecule Counting Probes

Chen, Lei, 1985- (author)
Uppsala universitet,Institutionen för immunologi, genetik och patologi,Uppsala University,molecular tools
Björkesten, Johan (author)
Uppsala universitet,Institutionen för immunologi, genetik och patologi,molecular tools
Wu, Di (author)
Uppsala universitet,Institutionen för immunologi, genetik och patologi
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Mathot, Lucy (author)
Uppsala universitet,Institutionen för immunologi, genetik och patologi
liebs, Sandra (author)
Haybaeck, Johannes (author)
Sjöblom, Tobias (author)
Uppsala universitet,Institutionen för immunologi, genetik och patologi
Landegren, Ulf (author)
Uppsala universitet,Institutionen för immunologi, genetik och patologi,molecular tools
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 (creator_code:org_t)
English.
  • Other publication (other academic/artistic)
Abstract Subject headings
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  • Problems in biology and medicine frequently require the ability to observe, evaluate, andcount even extremely rare macromolecules in biological samples. In particular, rare tumorspecific mutations in plasma provide valuable insights in the course of malignant disease andresponses to therapy, but simpler assay techniques are needed. We describe herein a rapidand exquisitely specific means to recognize and magnify detection signals from individualmolecules to easily recorded levels via a process we call super rolling circle amplification(sRCA). We demonstrate the ability of this technique to enumerate tumor-specific sequencevariants in plasma from cancer patients via flow cytometry at very high efficiency, with specificityadequate to detect single nucleotide mutant sequences among 100,000 copies of thenormal sequence in a 3 hr protocol. And the mutation analysis data generated from patientctDNA samples with our sRCA method are in high accordance with the patients’ primary tumorsequencing data.

Subject headings

NATURVETENSKAP  -- Biologi -- Genetik (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Genetics (hsv//eng)

Keyword

Rolling circle amplification
cfDNA
single molecule
digital counting
rare mutation detection
PoC application

Publication and Content Type

vet (subject category)
ovr (subject category)

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