Sökning: WFRF:(Haybaeck Johannes) > Rare Mutation Detec...
Fältnamn | Indikatorer | Metadata |
---|---|---|
000 | 02890nam a2200385 4500 | |
001 | oai:DiVA.org:uu-331737 | |
003 | SwePub | |
008 | 171017| | |||||||||||000 ||eng| | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3317372 URI |
040 | a (SwePub)uu | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a vet2 swepub-contenttype |
072 | 7 | a ovr2 swepub-publicationtype |
100 | 1 | a Chen, Lei,d 1985-u Uppsala universitet,Institutionen för immunologi, genetik och patologi,Uppsala University,molecular tools4 aut0 (Swepub:uu)leich344 |
245 | 1 0 | a Rare Mutation Detection in Blood Plasma Using sRCA Molecule Counting Probes |
338 | a print2 rdacarrier | |
520 | a 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. | |
650 | 7 | a NATURVETENSKAPx Biologix Genetik0 (SwePub)106092 hsv//swe |
650 | 7 | a NATURAL SCIENCESx Biological Sciencesx Genetics0 (SwePub)106092 hsv//eng |
653 | a Rolling circle amplification | |
653 | a cfDNA | |
653 | a single molecule | |
653 | a digital counting | |
653 | a rare mutation detection | |
653 | a PoC application | |
700 | 1 | a Björkesten, Johanu Uppsala universitet,Institutionen för immunologi, genetik och patologi,molecular tools4 aut0 (Swepub:uu)johbj141 |
700 | 1 | a Wu, Diu Uppsala universitet,Institutionen för immunologi, genetik och patologi4 aut |
700 | 1 | a Mathot, Lucyu Uppsala universitet,Institutionen för immunologi, genetik och patologi4 aut |
700 | 1 | a liebs, Sandra4 aut |
700 | 1 | a Haybaeck, Johannes4 aut |
700 | 1 | a Sjöblom, Tobiasu Uppsala universitet,Institutionen för immunologi, genetik och patologi4 aut |
700 | 1 | a Landegren, Ulfu Uppsala universitet,Institutionen för immunologi, genetik och patologi,molecular tools4 aut |
710 | 2 | a Uppsala universitetb Institutionen för immunologi, genetik och patologi4 org |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-331737 |
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.