High-throughput mutagenesis identifies mutations and RNA-binding proteins controlling CD19 splicing and CART-19 therapy resistance.
High-throughput mutagenesis identifies mutations and RNA-binding proteins controlling CD19 splicing and CART-19 therapy resistance.
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DOI:
10.1038/s41467-022-31818-y
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发表时间:
2022-09-22
影响因子:
16.6
通讯作者:
König J
中科院分区:
文献类型:
--
作者:
Cortés-López M;Schulz L;Enculescu M;Paret C;Spiekermann B;Quesnel-Vallières M;Torres-Diz M;Unic S;Busch A;Orekhova A;Kuban M;Mesitov M;Mulorz MM;Shraim R;Kielisch F;Faber J;Barash Y;Thomas-Tikhonenko A;Zarnack K;Legewie S;König J
Following CART-19 immunotherapy for B-cell acute lymphoblastic leukaemia (B-ALL), many patients relapse due to loss of the cognate CD19 epitope. Since epitope loss can be caused by aberrant CD19 exon 2 processing, we herein investigate the regulatory code that controls CD19 splicing. We combine high-throughput mutagenesis with mathematical modelling to quantitatively disentangle the effects of all mutations in the region comprising CD19 exons 1-3. Thereupon, we identify ~200 single point mutations that alter CD19 splicing and thus could predispose B-ALL patients to developing CART-19 resistance. Furthermore, we report almost 100 previously unknown splice isoforms that emerge from cryptic splice sites and likely encode non-functional CD19 proteins. We further identify cis-regulatory elements and trans-acting RNA-binding proteins that control CD19 splicing (e.g., PTBP1 and SF3B4) and validate that loss of these factors leads to pervasive CD19 mis-splicing. Our dataset represents a comprehensive resource for identifying predictive biomarkers for CART-19 therapy. Multiple alternative splicing events in CD19 mRNA have been associated with resistance/relapse to CD19 CAR-T therapy in patients with B cell malignancies. Here, by combining patient data and a high-throughput mutagenesis screen, the authors identify single point mutations and RNA-binding proteins that can control CD19 splicing and be associated with CD19 CAR-T therapy resistance.
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影响因子:
20.3
作者:
Gardner, Rebecca A.;Finney, Olivia;Jensen, Michael C.
通讯作者:
Jensen, Michael C.
影响因子:
13.6
作者:
El Marabti E;Abdel-Wahab O
通讯作者:
Abdel-Wahab O
影响因子:
14.9
作者:
Frankish A;Diekhans M;Ferreira AM;Johnson R;Jungreis I;Loveland J;Mudge JM;Sisu C;Wright J;Armstrong J;Barnes I;Berry A;Bignell A;Carbonell Sala S;Chrast J;Cunningham F;Di Domenico T;Donaldson S;Fiddes IT;García Girón C;Gonzalez JM;Grego T;Hardy M;Hourlier T;Hunt T;Izuogu OG;Lagarde J;Martin FJ;Martínez L;Mohanan S;Muir P;Navarro FCP;Parker A;Pei B;Pozo F;Ruffier M;Schmitt BM;Stapleton E;Suner MM;Sycheva I;Uszczynska-Ratajczak B;Xu J;Yates A;Zerbino D;Zhang Y;Aken B;Choudhary JS;Gerstein M;Guigó R;Hubbard TJP;Kellis M;Paten B;Reymond A;Tress ML;Flicek P
通讯作者:
Flicek P
影响因子:
5.3
作者:
Bagashev A;Sotillo E;Tang CH;Black KL;Perazzelli J;Seeholzer SH;Argon Y;Barrett DM;Grupp SA;Hu CC;Thomas-Tikhonenko A
通讯作者:
Thomas-Tikhonenko A
影响因子:
64.5
作者:
Baeza-Centurion, Pablo;Minana, Belen;Lehner, Ben
通讯作者:
Lehner, Ben