Parallel sequencing of extrachromosomal circular DNAs and transcriptomes in single cancer cells.
Parallel sequencing of extrachromosomal circular DNAs and transcriptomes in single cancer cells.
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DOI:
10.1038/s41588-023-01386-y
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发表时间:
2023-05
期刊:
影响因子:
30.8
通讯作者:
Henssen, Anton G.
中科院分区:
文献类型:
--
作者:
Gonzalez, Rocio Chamorro;Conrad, Thomas;Stoeber, Maja C.;Xu, Robin;Giurgiu, Madalina;Rodriguez-Fos, Elias;Kasack, Katharina;Brueckner, Lotte;van Leen, Eric;Helmsauer, Konstantin;Garcia, Heathcliff Dorado;Stefanova, Maria E.;Hung, King L.;Bei, Yi;Schmelz, Karin;Lodrini, Marco;Mundlos, Stefan;Chang, Howard Y.;Deubzer, Hedwig E.;Sauer, Sascha;Eggert, Angelika;Schulte, Johannes H.;Schwarz, Roland F.;Haase, Kerstin;Koche, Richard P.;Henssen, Anton G.
Extrachromosomal DNAs (ecDNAs) are common in cancer, but many questions about their origin, structural dynamics and impact on intratumor heterogeneity are still unresolved. Here we describe single-cell extrachromosomal circular DNA and transcriptome sequencing (scEC&T-seq), a method for parallel sequencing of circular DNAs and full-length mRNA from single cells. By applying scEC&T-seq to cancer cells, we describe intercellular differences in ecDNA content while investigating their structural heterogeneity and transcriptional impact. Oncogene-containing ecDNAs were clonally present in cancer cells and drove intercellular oncogene expression differences. In contrast, other small circular DNAs were exclusive to individual cells, indicating differences in their selection and propagation. Intercellular differences in ecDNA structure pointed to circular recombination as a mechanism of ecDNA evolution. These results demonstrate scEC&T-seq as an approach to systematically characterize both small and large circular DNA in cancer cells, which will facilitate the analysis of these DNA elements in cancer and beyond. scEC&T-seq profiles extrachromosomal circular DNA and full-length mRNA from single human cancer cells, and may be used to interrogate heterogeneity in both cell lines and primary tumor samples.
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影响因子:
5.8
作者:
Gu, Zuguang;Eils, Roland;Schlesner, Matthias
通讯作者:
Schlesner, Matthias
DOI:
10.1093/bioinformatics/btv562
发表时间:
2016-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Gel B;Díez-Villanueva A;Serra E;Buschbeck M;Peinado MA;Malinverni R
通讯作者:
Malinverni R
影响因子:
8
作者:
Cohen, S;Regev, A;Lavi, S
通讯作者:
Lavi, S
影响因子:
30.8
作者:
Koche, Richard P.;Rodriguez-Fos, Elias;Henssen, Anton G.
通讯作者:
Henssen, Anton G.
影响因子:
64.5
作者:
Hadi K;Yao X;Behr JM;Deshpande A;Xanthopoulakis C;Tian H;Kudman S;Rosiene J;Darmofal M;DeRose J;Mortensen R;Adney EM;Shaiber A;Gajic Z;Sigouros M;Eng K;Wala JA;Wrzeszczyński KO;Arora K;Shah M;Emde AK;Felice V;Frank MO;Darnell RB;Ghandi M;Huang F;Dewhurst S;Maciejowski J;de Lange T;Setton J;Riaz N;Reis-Filho JS;Powell S;Knowles DA;Reznik E;Mishra B;Beroukhim R;Zody MC;Robine N;Oman KM;Sanchez CA;Kuhner MK;Smith LP;Galipeau PC;Paulson TG;Reid BJ;Li X;Wilkes D;Sboner A;Mosquera JM;Elemento O;Imielinski M
通讯作者:
Imielinski M