The TRACE-Seq method tracks recombination alleles and identifies clonal reconstitution dynamics of gene targeted human hematopoietic stem cells.
The TRACE-Seq method tracks recombination alleles and identifies clonal reconstitution dynamics of gene targeted human hematopoietic stem cells.
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DOI:
10.1038/s41467-020-20792-y
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发表时间:
2021-01-20
影响因子:
16.6
通讯作者:
Majeti R
中科院分区:
文献类型:
--
作者:
Sharma R;Dever DP;Lee CM;Azizi A;Pan Y;Camarena J;Köhnke T;Bao G;Porteus MH;Majeti R
Targeted DNA correction of disease-causing mutations in hematopoietic stem and progenitor cells (HSPCs) may enable the treatment of genetic diseases of the blood and immune system. It is now possible to correct mutations at high frequencies in HSPCs by combining CRISPR/Cas9 with homologous DNA donors. Because of the precision of gene correction, these approaches preclude clonal tracking of gene-targeted HSPCs. Here, we describe Tracking Recombination Alleles in Clonal Engraftment using sequencing (TRACE-Seq), a methodology that utilizes barcoded AAV6 donor template libraries, carrying in-frame silent mutations or semi-randomized nucleotides outside the coding region, to track the in vivo lineage contribution of gene-targeted HSPC clones. By targeting the HBB gene with an AAV6 donor template library consisting of ~20,000 possible unique exon 1 in-frame silent mutations, we track the hematopoietic reconstitution of HBB targeted myeloid-skewed, lymphoid-skewed, and balanced multi-lineage repopulating human HSPC clones in mice. We anticipate this methodology could potentially be used for HSPC clonal tracking of Cas9 RNP and AAV6-mediated gene targeting outcomes in translational and basic research settings. Genetic barcoding has been used to track clonal dynamics of cells. Here, the authors develop a Tracking Recombination Alleles in Clonal Engraftment using sequencing (TRACE-Seq), to barcode repaired alleles by introducing silent mutations or outside of coding regions, to show clonal complexity of edited CD34 + cells following engraftment.
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影响因子:
64.8
作者:
Barzel, A.;Paulk, N. K.;Shi, Y.;Huang, Y.;Chu, K.;Zhang, F.;Valdmanis, P. N.;Spector, L. P.;Porteus, M. H.;Gaensler, K. M.;Kay, M. A.
通讯作者:
Kay, M. A.
影响因子:
64.8
作者:
Genovese, Pietro;Schiroli, Giulia;Escobar, Giulia;Di Tomaso, Tiziano;Firrito, Claudia;Calabria, Andrea;Moi, Davide;Mazzieri, Roberta;Bonini, Chiara;Holmes, Michael C.;Gregory, Philip D.;van der Burg, Mirjam;Gentner, Bernhard;Montini, Eugenio;Lombardo, Angelo;Naldini, Luigi
通讯作者:
Naldini, Luigi
影响因子:
14.8
作者:
Bak RO;Dever DP;Porteus MH
通讯作者:
Porteus MH
影响因子:
64.8
作者:
Eyquem J;Mansilla-Soto J;Giavridis T;van der Stegen SJ;Hamieh M;Cunanan KM;Odak A;Gönen M;Sadelain M
通讯作者:
Sadelain M
影响因子:
46.9
作者:
Hendel A;Bak RO;Clark JT;Kennedy AB;Ryan DE;Roy S;Steinfeld I;Lunstad BD;Kaiser RJ;Wilkens AB;Bacchetta R;Tsalenko A;Dellinger D;Bruhn L;Porteus MH
通讯作者:
Porteus MH