scholarly journals Major functional bias for mitochondrial complexes in genome-wide CRISPR screens

2020 ◽  
Author(s):  
Mahfuzur Rahman ◽  
Maximilian Billmann ◽  
Michael Costanzo ◽  
Michael Aregger ◽  
Amy H. Y. Tong ◽  
...  

We present FLEX (Functionalevaluation of experimental perturbations), a pipeline that leverages several functional annotation resources to establish reference standards for benchmarking human genome-wide CRISPR screen data and methods for analyzing them. We apply FLEX to analyze data from the diverse cell line screens generated by the DepMap project. We identify a dominant mitochondria-associated signal, which our time-resolved CRISPR screens and analysis suggests may reflect screen dynamics and protein stability effects rather than genetic dependencies.

2016 ◽  
Author(s):  
Qiongshi Lu ◽  
Ryan L. Powles ◽  
Sarah Abdallah ◽  
Derek Ou ◽  
Qian Wang ◽  
...  

AbstractContinuing efforts from large international consortia have made genome-wide epigenomic and transcriptomic annotation data publicly available for a variety of cell and tissue types. However, synthesis of these datasets into effective summary metrics to characterize the functional non-coding genome remains a challenge. Here, we present GenoSkyline-Plus, an extension of our previous work through integration of an expanded set of epigenomic and transcriptomic annotations to produce high-resolution, single tissue annotations. After validating our annotations with a catalog of tissue-specific non-coding elements previously identified in the literature, we apply our method using data from 127 different cell and tissue types to present an atlas of heritability enrichment across 45 different GWAS traits. We show that broader organ system categories (e.g. immune system) increase statistical power in identifying biologically relevant tissue types for complex diseases while annotations of individual cell types (e.g. monocytes or B-cells) provide deeper insights into disease etiology. Additionally, we use our GenoSkyline-Plus annotations in an in-depth case study of late-onset Alzheimer’s disease (LOAD). Our analyses suggest a strong connection between LOAD heritability and genetic variants contained in regions of the genome functional in monocytes. Furthermore, we show that LOAD shares a similar localization of SNPs to monocyte-functional regions with Parkinson’s disease. Overall, we demonstrate that integrated genome annotations at the single tissue level provide a valuable tool for understanding the etiology of complex human diseases. Our GenoSkyline-Plus annotations are freely available at http://genocanyon.med.yale.edu/GenoSkyline.Author SummaryAfter years of community efforts, many experimental and computational approaches have been developed and applied for functional annotation of the human genome, yet proper annotation still remains challenging, especially in non-coding regions. As complex disease research rapidly advances, increasing evidence suggests that non-coding regulatory DNA elements may be the primary regions harboring risk variants in human complex diseases. In this paper, we introduce GenoSkyline-Plus, a principled annotation framework to identify tissue and cell type-specific functional regions in the human genome through integration of diverse high-throughput epigenomic and transcriptomic data. Through validation of known non-coding tissue-specific regulatory regions, enrichment analyses on 45 complex traits, and an in-depth case study of neurodegenerative diseases, we demonstrate the ability of GenoSkyline-Plus to accurately identify tissue-specific functionality in the human genome and provide unbiased, genome-wide insights into the genetic basis of human complex diseases.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 788-788
Author(s):  
Ingrid Tatiana Erazo ◽  
Chiara M Evans ◽  
Daniel Zakheim ◽  
Karen L Chu ◽  
Olena Barbash ◽  
...  

Abstract PRMT5 catalyzes the arginine symmetric demethylation of histone and non-histone proteins. PRMT5 is overexpressed in lymphoma and plays a key role in lymphomagenesis through the repression of several tumor suppressors, including P53, while promoting the expression of lymphoma-drivers, such as c-MYC. Currently, three PRMT5 inhibitors are being clinically evaluated in B-cell lymphoma patients, however, the mechanism of action of these molecules remain poorly understood. Thus, to identify the mechanism of action of the potent selective PRMT5 inhibitor, GSK3203591 (GSK-591), we performed a genome-wide CRISPR/Cas9 KO screen in the human mantle cell line, Z-138 and a validation CRISPR /Cas9 screen in the DLBCL cell line, OCI-LY19. Our genome-wide CRISPR screen identified 316 sensitizing genes and 89 genes involved in resistance. The top sensitizing gene was TP53, which validated our screens, as it is a well characterized target of PRMT5. Furthermore, we found that TP53 deletion and the hot spot TP53 R248Wmutation are biomarkers of resistance to GSK-591. RNA-binding protein MUSASHI 2 (MSI2) was identified as the top-ranked driver of resistance to GSK-591. MSI2 plays a key role in hematopoietic stem cells activation, myeloid leukemia and CLL, however, its function in lymphoma remains unknown. MSI2 is overexpressed in DLBCL patients (n=96). Relapsed MCL and DLBCL primary samples express high levels of both PRMT5 and MSI2. Furthermore, MSI2 depletion decreased cell viability and sensitized lymphoma cells to PRMT5 inhibitor in vitro and vivo. In contrast, overexpression of MSI2 reverted sensitivity to GSK-591 in lymphoma cells. Consistent with our genetic studies, inhibition of MSI2 using Ro 08-2750 (Ro) (Minuesa et al. Nat Commun. 2019), conferred sensitivity to GSK-591, and the combination therapy was synergistic inducing cytotoxicity. In order to identify specific downstream targets of MSI2 that may contribute to resistance to PRMT5 inhibition in lymphoma, we performed MSI2-HyperTRIBE, a recently discovered technology that allows mapping the MSI2 targeting network (Nguyen et al. Nat Commun. 2020). Using MSI2-HyperTRIBE, we were able to identify MSI2 targets in lymphoma cells. Moreover, we found that Ro treatment significantly blocked MSI2 binding activity, while GSK-591 had no effect on MSI2 targets. To uncover the mechanism involved in the synergy of PRMT5 and MSI2 inhibitors, we performed RNA-sequencing of Z-138 cells treated with GSK-591, Ro or the combination. Gene set enrichment analysis (GSEA) demonstrated a loss in the c-MYC pathway upon drug combination.MSI2 RNA-IP assays showed that MSI2 binds c-MYC and this interaction is disrupted by the combination of GSK-591 and Ro. We observed that the combination of MSI2 and PRMT5 inhibitors does not affect c-MYC mRNA levels but, rather, controls translation. Interestingly, in the human B cell line P493-6 that express a conditional, tetracycline-regulated c-MYC, the depletion of c-MYC significantly increased the anti-proliferative activity of GSK-591 and Ro alone or in combination. To further investigate whether there are other functionally relevant downstream targets of MSI2 promoting resistance to PRMT5 inhibition, we overlapped the differentially expressed genes upon treatment with GSK-591 and Ro (RNA-Seq), the Ro-direct targets in lymphoma (MSI2-HyperTRIBE) and the resistance genes to PRMT5 inhibition (whole-genome CRISPR screen) and we identified the anti-apoptotic protein BCL-2 as a common target of the PRMT5-MSI2 axis. We established first that the combination of GSK-591 and Ro blocked the binding of MSI2 to BCL-2 mRNA. We also found that the drug combination significantly decreased BCL-2 mRNA and protein abundance. Furthermore, Z-138 and OCI-LY19 BCL-2 KO cells are more sensitive to GSK-591 and Ro alone or in combination. Using venetoclax, we found that BCL-2 inhibition enhanced GSK-591 activity in vitro and in vivo. Thus, these data confirmed that BCL-2 is a key driver of resistance to PRMT5 inhibition. Overall, our study uncovered a novel oncogenic axis, PRMT5/MSI2/c-MYC/BCL-2 that drives resistance to PRMT5-targeted therapy in lymphoma. We demonstrated that TP53 LOF and MSI2 expression could be used as biomarkers for patient stratification. Moreover, we proposed two novel drug combination strategies, with venetoclax or a MSI2 inhibitor, to be considered in further clinical studies with PRMT5 inhibitors. Disclosures Barbash: GlaxoSmithKline: Current Employment, Current equity holder in publicly-traded company. Batlevi: Viatris: Current holder of individual stocks in a privately-held company; Juno/Celgene: Consultancy; Pfizer: Current holder of individual stocks in a privately-held company; Bayer: Research Funding; ADC Therapeutics: Consultancy; TG Therapeutics: Consultancy; Medscape: Honoraria; BMS: Current holder of individual stocks in a privately-held company; Memorial Sloan Kettering Cancer Center: Current Employment; Kite Pharma: Consultancy; Life Sciences: Consultancy; Seattle Genetics: Consultancy; Karyopharm: Consultancy; Regeneron: Current holder of individual stocks in a privately-held company; Moderna: Current holder of individual stocks in a privately-held company; TouchIME: Honoraria; GLG Pharma: Consultancy; Dava Oncology: Honoraria; Xynomic: Research Funding; Roche/Genentech: Research Funding; Novartis: Research Funding; Epizyme: Research Funding; Janssen: Research Funding; Autolus: Research Funding. Younes: AZ: Current Employment, Other: Senior Vice President, Global Head of Haematology (Early and Late Stage) Oncology R&D at AstraZeneca.


2021 ◽  
Vol 22 (11) ◽  
pp. 5798
Author(s):  
Shoko Tokumoto ◽  
Yugo Miyata ◽  
Ruslan Deviatiiarov ◽  
Takahiro G. Yamada ◽  
Yusuke Hiki ◽  
...  

The Pv11, an insect cell line established from the midge Polypedilum vanderplanki, is capable of extreme hypometabolic desiccation tolerance, so-called anhydrobiosis. We previously discovered that heat shock factor 1 (HSF1) contributes to the acquisition of desiccation tolerance by Pv11 cells, but the mechanistic details have yet to be elucidated. Here, by analyzing the gene expression profiles of newly established HSF1-knockout and -rescue cell lines, we show that HSF1 has a genome-wide effect on gene regulation in Pv11. The HSF1-knockout cells exhibit a reduced desiccation survival rate, but this is completely restored in HSF1-rescue cells. By comparing mRNA profiles of the two cell lines, we reveal that HSF1 induces anhydrobiosis-related genes, especially genes encoding late embryogenesis abundant proteins and thioredoxins, but represses a group of genes involved in basal cellular processes, thus promoting an extreme hypometabolism state in the cell. In addition, HSF1 binding motifs are enriched in the promoters of anhydrobiosis-related genes and we demonstrate binding of HSF1 to these promoters by ChIP-qPCR. Thus, HSF1 directly regulates the transcription of anhydrobiosis-related genes and consequently plays a pivotal role in the induction of anhydrobiotic ability in Pv11 cells.


Cell Reports ◽  
2021 ◽  
Vol 34 (11) ◽  
pp. 108859
Author(s):  
Jessie Kulsuptrakul ◽  
Ruofan Wang ◽  
Nathan L. Meyers ◽  
Melanie Ott ◽  
Andreas S. Puschnik

2016 ◽  
Vol 62 (2) ◽  
pp. 307-313 ◽  
Author(s):  
Sergio Ruiz ◽  
Cristina Mayor-Ruiz ◽  
Vanesa Lafarga ◽  
Matilde Murga ◽  
Maria Vega-Sendino ◽  
...  
Keyword(s):  
A Genome ◽  

The Prostate ◽  
2010 ◽  
Vol 71 (9) ◽  
pp. 955-963 ◽  
Author(s):  
Yizhen Lu ◽  
Zheng Zhang ◽  
Hongjie Yu ◽  
S. Lily Zheng ◽  
William B. Isaacs ◽  
...  

eLife ◽  
2016 ◽  
Vol 5 ◽  
Author(s):  
Rowena DeJesus ◽  
Francesca Moretti ◽  
Gregory McAllister ◽  
Zuncai Wang ◽  
Phil Bergman ◽  
...  

SQSTM1 is an adaptor protein that integrates multiple cellular signaling pathways and whose expression is tightly regulated at the transcriptional and post-translational level. Here, we describe a forward genetic screening paradigm exploiting CRISPR-mediated genome editing coupled to a cell selection step by FACS to identify regulators of SQSTM1. Through systematic comparison of pooled libraries, we show that CRISPR is superior to RNAi in identifying known SQSTM1 modulators. A genome-wide CRISPR screen exposed MTOR signalling and the entire macroautophagy machinery as key regulators of SQSTM1 and identified several novel modulators including HNRNPM, SLC39A14, SRRD, PGK1 and the ufmylation cascade. We show that ufmylation regulates SQSTM1 by eliciting a cell type-specific ER stress response which induces SQSTM1 expression and results in its accumulation in the cytosol. This study validates pooled CRISPR screening as a powerful method to map the repertoire of cellular pathways that regulate the fate of an individual target protein.


PLoS ONE ◽  
2015 ◽  
Vol 10 (4) ◽  
pp. e0123081 ◽  
Author(s):  
Yu Wang ◽  
Wei Li ◽  
Yingying Xia ◽  
Chongzhi Wang ◽  
Y. Tom Tang ◽  
...  

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