Large-scale RNA Interference Screen Research Articles

SF3B14 is involved in the centrosome regulation through splicing of TUBGCP6 pre-mRNA

Splicing precursor messenger RNA (pre-mRNA) is a critical step to produce physiologically functional protein. Splicing failure not only gives rise to dysfunctional proteins but also generates abnormal protein function, which causes several diseases. Several pre-mRNA splicing factors are reported to regulate mitosis directly at mitotic structures and/or indirectly through controlling the pre-mRNA splicing for mitotic proteins. In this study, we described the mitotic functions of SF3B14, a component of the spliceosomal U2 small nuclear ribonucleoprotein (snRNP), which we identified as a candidate involved in mitosis based on the large-scale RNA interference (RNAi) screen of the nucleolar proteome database. We observed that SF3B14 depletion caused prolonged mitosis and several mitotic defects, such as monopolar spindle and chromosome misalignment during metaphase. Although SF3B14 was found in the nucleolar proteome database, our immunofluorescent stainings demonstrated that SF3B14 was predominantly localized in the nucleoplasm and excluded from the nucleolus during interphase. In addition, SF3B14 did not colocalize with specific mitotic structures during mitosis, which is not in line with its direct mitotic function. Notably, we found that the SF3B14 depletion reduced protein levels of TUBGCP6, required for centrosome regulation, and increased the unspliced/spliced ratio of its mRNA. Taken together, we propose that the pre-mRNA of TUBGCP6 is one of the targets for SF3B14 splicing through which SF3B14 controls mitotic chromosome behavior.

Overexpression of FKH-2/FOXG1 is neuroprotective in a C. elegans model of Machado-Joseph disease

Machado-Joseph disease (MJD), also known as spinocerebellar ataxia type 3 (SCA3), is the most common form of dominantly inherited ataxia worldwide. This disease is caused by an expanded CAG repeat in the coding region of ATXN3. Due to our incomplete understanding of mechanisms and molecular pathways related to this disease, there are no therapies that successfully treat core MJD patients. Therefore, the identification of new candidate targets related to this disease is needed.In this study, we performed a large-scale RNA interference (RNAi) screen of 387 transcription factor genes leading to the identification of several modifiers (suppressors and enhancers) of impaired motility phenotypes in a mutant ATXN3 transgenic C. elegans model. We showed that inactivation of one particular gene, fkh-2/FOXG1, enhanced the motility defect, neurodegeneration and reduced longevity in our MJD models. Opposite to genetic inactivation, the overexpression of fkh-2 rescued the impaired motility, shortened-lifespan, and neurodegeneration phenotypes of mutant ATXN3 transgenics. We found that overexpression of FKH-2/FOXG1 in ATXN3 mutant worms is neuroprotective.Using our transgenic ATXN3 C. elegans models and the screening of an RNAi library, we gained insights into the pathways contributing to neurodegeneration, and found that FKH-2/FOXG1 has neuroprotective activity. These findings may aid the development of novel therapeutic interventions for MJD.

Large-scale RNAi screening uncovers therapeutic targets in the parasite Schistosoma mansoni.

Schistosome parasites kill 250,000 people every year. Treatment of schistosomiasis relies on the drug praziquantel. Unfortunately, a scarcity of molecular tools has hindered the discovery of new drug targets. Here, we describe a large-scale RNA interference (RNAi) screen in adult Schistosoma mansoni that examined the function of 2216 genes. We identified 261 genes with phenotypes affecting neuromuscular function, tissue integrity, stem cell maintenance, and parasite survival. Leveraging these data, we prioritized compounds with activity against the parasites and uncovered a pair of protein kinases (TAO and STK25) that cooperate to maintain muscle-specific messenger RNA transcription. Loss of either of these kinases results in paralysis and worm death in a mammalian host. These studies may help expedite therapeutic development and invigorate studies of these neglected parasites.

TRRAP is essential for regulating the accumulation of mutant and wild-type p53 in lymphoma

AbstractTumors accumulate high levels of mutant p53 (mutp53), which contributes to mutp53 gain-of-function properties. The mechanisms that underlie such excessive accumulation are not fully understood. To discover regulators of mutp53 protein accumulation, we performed a large-scale RNA interference screen in a Burkitt lymphoma cell line model. We identified transformation/transcription domain-associated protein (TRRAP), a constituent of several histone acetyltransferase complexes, as a critical positive regulator of both mutp53 and wild-type p53 levels. TRRAP silencing attenuated p53 accumulation in lymphoma and colon cancer models, whereas TRRAP overexpression increased mutp53 levels, suggesting a role for TRRAP across cancer entities and p53 mutations. Through clustered regularly interspaced short palindromic repeats (CRISPR)–Cas9 screening, we identified a 109-amino-acid region in the N-terminal HEAT repeat region of TRRAP that was crucial for mutp53 stabilization and cell proliferation. Mass spectrometric analysis of the mutp53 interactome indicated that TRRAP silencing caused degradation of mutp53 via the MDM2-proteasome axis. This suggests that TRRAP is vital for maintaining mutp53 levels by shielding it against the natural p53 degradation machinery. To identify drugs that alleviated p53 accumulation similarly to TRRAP silencing, we performed a small-molecule drug screen and found that inhibition of histone deacetylases (HDACs), specifically HDAC1/2/3, decreased p53 levels to a comparable extent. In summary, here we identify TRRAP as a key regulator of p53 levels and link acetylation-modifying complexes to p53 protein stability. Our findings may provide clues for therapeutic targeting of mutp53 in lymphoma and other cancers.

A large-scale RNA interference screen identifies genes that regulate autophagy at different stages

Dysregulated autophagy is central to the pathogenesis and therapeutic development of cancer. However, how autophagy is regulated in cancer is not well understood and genes that modulate cancer autophagy are not fully defined. To gain more insights into autophagy regulation in cancer, we performed a large-scale RNA interference screen in K562 human chronic myeloid leukemia cells using monodansylcadaverine staining, an autophagy-detecting approach equivalent to immunoblotting of the autophagy marker LC3B or fluorescence microscopy of GFP-LC3B. By coupling monodansylcadaverine staining with fluorescence-activated cell sorting, we successfully isolated autophagic K562 cells where we identified 336 short hairpin RNAs. After candidate validation using Cyto-ID fluorescence spectrophotometry, LC3B immunoblotting, and quantitative RT-PCR, 82 genes were identified as autophagy-regulating genes. 20 genes have been reported previously and the remaining 62 candidates are novel autophagy mediators. Bioinformatic analyses revealed that most candidate genes were involved in molecular pathways regulating autophagy, rather than directly participating in the autophagy process. Further autophagy flux assays revealed that 57 autophagy-regulating genes suppressed autophagy initiation, whereas 21 candidates promoted autophagy maturation. Our RNA interference screen identified genes that regulate autophagy at different stages, which helps decode autophagy regulation in cancer and offers novel avenues to develop autophagy-related therapies for cancer.

Large-Scale RNA Interference Screening to Identify Transcriptional Regulators of a Tumor Suppressor Gene.

RNA interference (RNAi) is a powerful research tool that can be used to silence the expression of a specific gene. In the past several years, RNAi has provided the opportunity to identify factors and pathways involved in complex biological processes by performing unbiased loss-of-function screens on a genome-wide scale. Here we describe a genome-wide RNAi screening strategy to identify factors that regulates epigenetic silencing of a specific tumor suppressor gene, using RASSF1A as an example. The approach we describe is a general RNAi screening strategy that can be applied to identify other factors that drive and/or maintain epigenetic modifications on specific genes, including cancer-related genes.

MARCH1 regulates insulin sensitivity by controlling cell surface insulin receptor levels.

Insulin resistance is a key driver of type 2 diabetes (T2D) and is characterized by defective insulin receptor (INSR) signalling. Although surface INSR downregulation is a well-established contributor to insulin resistance, the underlying molecular mechanisms remain obscure. Here we show that the E3 ubiquitin ligase MARCH1 impairs cellular insulin action by degrading cell surface INSR. Using a large-scale RNA interference screen, we identify MARCH1 as a negative regulator of INSR signalling. March1 loss-of-function enhances, and March1 overexpression impairs, hepatic insulin sensitivity in mice. MARCH1 ubiquitinates INSR to decrease cell surface INSR levels, but unlike other INSR ubiquitin ligases, MARCH1 acts in the basal state rather than after insulin stimulation. Thus, MARCH1 may help set the basal gain of insulin signalling. MARCH1 expression is increased in white adipose tissue of obese humans, suggesting that MARCH1 contributes to the pathophysiology of T2D and could be a new therapeutic target.

The histone H3K9 demethylase KDM3A promotes anoikis by transcriptionally activating pro-apoptotic genes BNIP3 and BNIP3L.

Epithelial cells that lose attachment to the extracellular matrix undergo a specialized form of apoptosis called anoikis. Here, using large-scale RNA interference (RNAi) screening, we find that KDM3A, a histone H3 lysine 9 (H3K9) mono- and di-demethylase, plays a pivotal role in anoikis induction. In attached breast epithelial cells, KDM3A expression is maintained at low levels by integrin signaling. Following detachment, integrin signaling is decreased resulting in increased KDM3A expression. RNAi-mediated knockdown of KDM3A substantially reduces apoptosis following detachment and, conversely, ectopic expression of KDM3A induces cell death in attached cells. We find that KDM3A promotes anoikis through transcriptional activation of BNIP3 and BNIP3L, which encode pro-apoptotic proteins. Using mouse models of breast cancer metastasis we show that knockdown of Kdm3a enhances metastatic potential. Finally, we find defective KDM3A expression in human breast cancer cell lines and tumors. Collectively, our results reveal a novel transcriptional regulatory program that mediates anoikis.

Protein synthesis and degradation are essential to regulate germline stem cell homeostasis in Drosophila testes.

The homeostasis of self-renewal and differentiation in stem cells is controlled by intrinsic signals and their niche. We conducted a large-scale RNA interference (RNAi) screen in Drosophila testes and identified 221 genes required for germline stem cell (GSC) maintenance or differentiation. Knockdown of these genes in transit-amplifying spermatogonia and cyst cells further revealed various phenotypes. Complex analysis uncovered that many of the identified genes are involved in key steps of protein synthesis and degradation. A group of genes that are required for mRNA splicing and protein translation contributes to both GSC self-renewal and early germ cell differentiation. Loss of genes in the protein degradation pathway in cyst cells leads to testis tumors consisting of overproliferated germ cells. Importantly, in the Cullin 4-RING E3 ubiquitin ligase (CRL4) complex, we identified multiple proteins that are crucial to GSC self-renewal: pic/DDB1, a CRL4 linker protein, is not only required for GSC self-renewal in flies but also for maintenance of spermatogonial stem cells (SSCs) in mice.

Design and Methods of Large-Scale RNA Interference Screens in Drosophila.

Drosophila is an ideal model system for addressing important questions in biology. The use of RNA interference (RNAi) to knockdown gene expression in fly tissues is both very effective and relatively simple. In the past few decades, genome-wide UAS-RNAi transgenic libraries and thousands of Gal4 strains have been generated and have facilitated large-scale in vivo RNAi screening. Here, we discuss methods for the design and performance of a large-scale in vivo RNAi screen in Drosophila. Furthermore, methods for the validation of results and analysis of data will be introduced.

RNAi profiling of primary human AML cells identifies ROCK1 as a therapeutic target and nominates fasudil as an antileukemic drug

AbstractAcute myeloid leukemia (AML) is characterized by a marked genetic heterogeneity, which complicates the development of novel therapeutics. The delineation of pathways essential within an individual patient's mutational background might overcome this limitation and facilitate personalized treatment. We report the results of a large-scale lentiviral loss-of-function RNA interference (RNAi) screen in primary leukemic cells. Stringent validation identified 6 genes (BNIPL1, ROCK1, RPS13, STK3, SNX27, WDHD1) whose knockdown impaired growth and viability of the cells. Dependence on these genes was not caused by mutation or overexpression, and although some of the candidates seemed to be rather patient specific, others were essential in cells isolated from other AML patients. In addition to the phenotype observed after ROCK1 knockdown, treatment with the approved ROCK inhibitor fasudil resulted in increased apoptosis and decreased viability of primary AML cells. In contrast to observations in some other malignancies, ROCK1 inhibition did not foster growth of immature malignant progenitors but was toxic to this cell fraction in feeder coculture and xenotransplant experiments, indicating a distinct effect of ROCK1 inhibition on leukemic progenitors. We conclude that large-scale RNAi screens in primary patient–derived cells are feasible and can complement other methods for personalized cancer therapies, such as expression and mutation profiling.

Isocitrate dehydrogenase 1 and 2 mutations induce BCL-2 dependence in acute myeloid leukemia.

Mutant isocitrate dehydrogenase (IDH) 1 and 2 proteins alter the epigenetic landscape in acute myeloid leukemia (AML) cells through production of the oncometabolite (R)-2-hydroxyglutarate (2-HG). Here we performed a large-scale RNA interference (RNAi) screen to identify genes that are synthetic lethal to the IDH1(R132H) mutation in AML and identified the anti-apoptotic gene BCL-2. IDH1- and IDH2-mutant primary human AML cells were more sensitive than IDH1/2 wild-type cells to ABT-199, a highly specific BCL-2 inhibitor that is currently in clinical trials for hematologic malignancies, both ex vivo and in xenotransplant models. This sensitization effect was induced by (R)-2-HG-mediated inhibition of the activity of cytochrome c oxidase (COX) in the mitochondrial electron transport chain (ETC); suppression of COX activity lowered the mitochondrial threshold to trigger apoptosis upon BCL-2 inhibition. Our findings indicate that IDH1/2 mutation status may identify patients that are likely to respond to pharmacologic BCL-2 inhibition and form the rational basis for combining agents that disrupt ETC activity with ABT-199 in future clinical studies.

Isocitrate Dehydrogenase Mutations Induce BCL-2 Dependence in Acute Myeloid Leukemia through Inhibition of Cytochrome C Oxidase Function

IDH1 and IDH2 are two of the most frequently mutated genes in acute myeloid leukemia at an overall frequency of about 15-20%. The genes encode enzymes in the citric acid cycle that normally catalyze the oxidative decarboxylation of isocitrate, producing α-ketoglutarate (α-KG). The mutant enzymes gain a neomorphic activity that catalyzes the conversion of α-KG to (R)-2-hydroxyglutarate (2-HG). The intracellular concentration of (R)-2-HG is over 100-fold higher in IDH-mutated cells than in wildtype cells. (R)-2-HG has been shown to be a competitive inhibitor of multiple α-KG dependent dioxygenases including TET2, and the Jumonji-C domain containing histone demethylases. These enzymes are thought to be the main targets through which (R)-2-HG exerts its effects on leukemogenesis.We previously reported that inhibition of the anti-apoptotic BCL-2 protein is synthetic lethal against mutant IDH which we discovered through a large-scale pooled lentiviral RNA interference screen. We confirmed that expression of mutant IDH1 or IDH2 strikingly sensitized AML cells to shRNA-mediated BCL-2 knockdown and pharmacologic BCL-2 inhibition with ABT-199, a highly specific BH3 mimetic. Importantly, we found that primary human AML blasts harboring IDH mutations were significantly more sensitive to ABT-199 than blasts with wildtype IDH ex vivo and in xenograft transplant models. Furthermore, we showed that ABT-199 was able to target the leukemic stem cell compartment in IDH-mutated samples.Here, we present our work to uncover the synthetic lethal mechanism. An important clue to the mechanism surfaced with the finding that treatment with a cell-permeable precursor of (R)-2-HG sensitized AML cells to BCL-2 inhibition, indicating that the intracellular accumulation of (R)-2-HG found in IDH-mutated cells is sufficient to mediate the phenotype. In addition, we found that (R)-2-HG was able to sensitize isolated mitochondria to ABT-199 with collapse of the mitochondrial transmembrane potential as a surrogate marker for commitment to apoptosis. This finding indicates that 1) the target mediating the synthetic lethal phenotype is localized to the mitochondria, and 2) changes in the epigenome and expression of nuclear-encoded genes are not required for the synthetic lethal phenotype.To identify the potential mitochondrial molecular target, we focused our analysis on the effect of (R)-2-HG on the enzymatic activity of individual complexes in the electron transport chain (ETC), given that ETC dysfunction can potentially alter the threshold for apoptosis. We found that (R)-2-HG at concentrations found in IDH mutated cells inhibited the in vitro enzymatic activity of complex IV (cytochrome C oxidase (COX)) in a dose-dependent manner, but had no effect on the remaining ETC complexes. This finding has in vivo significance as COX activity in intact IDH-mutated primary AML cells was found to be significantly decreased compared with non-mutated AML cells.Next, we investigated the possibility that COX inhibition is sufficient to induce BCL-2 dependence. We found that suppression of COX activity with chemical inhibitors or genetically through shRNA-mediated knockdown of a COX subunit (COX-IV) was sufficient to sensitize AML cells to ABT-199. Furthermore, treatment with tigecycline, a FDA-approved antibiotic that has previously been shown to disrupt ETC function through inhibition of mitochondrial translation resulting in decreased expression of mitochondrial-encoded proteins including the catalytic subunits of the COX complex, reproduced the sensitization effect in non-IDH mutated AML cells. Based on the above findings, we propose a mechanistic model in which (R)-2-HG accumulation in IDH mutant cells directly inhibits COX, thereby lowering the mitochondrial threshold for triggering apoptosis upon BCL-2 inhibition.In summary, we discovered that in addition to the previously described inhibition of α-KG dependent dioxygenases through (R)-2-HG production, IDH mutations also affect mitochondrial bioenergetics. This finding opens up the intriguing possibility that IDH mutations contribute to leukemogenesis not only through epigenetic changes but also through metabolic dysregulation. Lastly, our findings form the rational basis for combining agents that disrupt ETC function such as tigecycline with ABT-199 to target resistant cancer cells and maximize the clinical utility of this promising drug. DisclosuresMedeiros:Agios: Consulting - Ad board Other.

An Irresistible Combination

A large-scale RNA interference screen reveals a new mechanism of imatinib resistance in chronic myeloid leukemia that can be therapeutically targeted.

A therapeutically targetable mechanism of BCR-ABL-independent imatinib resistance in chronic myeloid leukemia.

Resistance to the BCR-ABL inhibitor imatinib mesylate (IM) poses a major problem for the treatment of chronic myeloid leukemia (CML). IM resistance often results from a secondary mutation in BCR-ABL that interferes with drug binding. However, in many instances, there is no mutation in BCR-ABL, and the basis of such BCR-ABL-independent IM resistance remains to be elucidated. To gain insight into BCR-ABL-independent IM resistance mechanisms, we performed a large-scale RNA interference screen and identified IM-sensitizing genes (IMSGs) whose knockdown renders BCR-ABL(+) cells IM-resistant. In these IMSG knockdown cells, RAF/mitogen-activated protein kinase kinase (MEK)/extracellular signal-regulated kinase (ERK) signaling is sustained after IM treatment because of up-regulation of PRKCH, which encodes the protein kinase C (PKC) family member PKCη, an activator of CRAF. PRKCH is also up-regulated in samples from CML patients with BCR-ABL-independent IM resistance. Combined treatment with IM and trametinib, a U.S. Food and Drug Administration-approved MEK inhibitor, synergistically kills BCR-ABL(+) IMSG knockdown cells and prolongs survival in mouse models of BCR-ABL-independent IM-resistant CML. Finally, we showed that CML stem cells contain high levels of PRKCH, and this contributes to their intrinsic IM resistance. Combined treatment with IM and trametinib synergistically kills CML stem cells with negligible effect on normal hematopoietic stem cells. Collectively, our results identify a therapeutically targetable mechanism of BCR-ABL-independent IM resistance in CML and CML stem cells.

Genetic and pharmacological reactivation of the mammalian inactive X chromosome.

X-chromosome inactivation (XCI), the random transcriptional silencing of one X chromosome in somatic cells of female mammals, is a mechanism that ensures equal expression of X-linked genes in both sexes. XCI is initiated in cis by the noncoding Xist RNA, which coats the inactive X chromosome (Xi) from which it is produced. However, trans-acting factors that mediate XCI remain largely unknown. Here, we perform a large-scale RNA interference screen to identify trans-acting XCI factors (XCIFs) that comprise regulators of cell signaling and transcription, including the DNA methyltransferase, DNMT1. The expression pattern of the XCIFs explains the selective onset of XCI following differentiation. The XCIFs function, at least in part, by promoting expression and/or localization of Xist to the Xi. Surprisingly, we find that DNMT1, which is generally a transcriptional repressor, is an activator of Xist transcription. Small-molecule inhibitors of two of the XCIFs can reversibly reactivate the Xi, which has implications for treatment of Rett syndrome and other dominant X-linked diseases. A homozygous mouse knockout of one of the XCIFs, stanniocalcin 1 (STC1), has an expected XCI defect but surprisingly is phenotypically normal. Remarkably, X-linked genes are not overexpressed in female Stc1(-/-) mice, revealing the existence of a mechanism(s) that can compensate for a persistent XCI deficiency to regulate X-linked gene expression.

Online GESS: prediction of miRNA-like off-target effects in large-scale RNAi screen data by seed region analysis.

BackgroundRNA interference (RNAi) is an effective and important tool used to study gene function. For large-scale screens, RNAi is used to systematically down-regulate genes of interest and analyze their roles in a biological process. However, RNAi is associated with off-target effects (OTEs), including microRNA (miRNA)-like OTEs. The contribution of reagent-specific OTEs to RNAi screen data sets can be significant. In addition, the post-screen validation process is time and labor intensive. Thus, the availability of robust approaches to identify candidate off-targeted transcripts would be beneficial.ResultsSignificant efforts have been made to eliminate false positive results attributable to sequence-specific OTEs associated with RNAi. These approaches have included improved algorithms for RNAi reagent design, incorporation of chemical modifications into siRNAs, and the use of various bioinformatics strategies to identify possible OTEs in screen results. Genome-wide Enrichment of Seed Sequence matches (GESS) was developed to identify potential off-targeted transcripts in large-scale screen data by seed-region analysis. Here, we introduce a user-friendly web application that provides researchers a relatively quick and easy way to perform GESS analysis on data from human or mouse cell-based screens using short interfering RNAs (siRNAs) or short hairpin RNAs (shRNAs), as well as for Drosophila screens using shRNAs. Online GESS relies on up-to-date transcript sequence annotations for human and mouse genes extracted from NCBI Reference Sequence (RefSeq) and Drosophila genes from FlyBase. The tool also accommodates analysis with user-provided reference sequence files.ConclusionOnline GESS provides a straightforward user interface for genome-wide seed region analysis for human, mouse and Drosophila RNAi screen data. With the tool, users can either use a built-in database or provide a database of transcripts for analysis. This makes it possible to analyze RNAi data from any organism for which the user can provide transcript sequences.

Large-Scale RNA Interference Screening in Mammalian Cells Identifies Novel Regulators of Mutant Huntingtin Aggregation

In polyglutamine (polyQ) diseases including Huntington's disease (HD), mutant proteins containing expanded polyQ stretch form aggregates in neurons. Genetic or RNAi screenings in yeast, C. elegans or Drosophila have identified multiple genes modifying polyQ aggregation, a few of which are confirmed effective in mammals. However, the overall molecular mechanism underlying polyQ protein aggregation in mammalian cells still remains obscure. We here perform RNAi screening in mouse neuro2a cells to identify mammalian modifiers for aggregation of mutant huntingtin, a causative protein of HD. By systematic cell transfection and automated cell image analysis, we screen ∼12000 shRNA clones and identify 111 shRNAs that either suppress or enhance mutant huntingtin aggregation, without altering its gene expression. Classification of the shRNA-targets suggests that genes with various cellular functions such as gene transcription and protein phosphorylation are involved in modifying the aggregation. Subsequent analysis suggests that, in addition to the aggregation-modifiers sensitive to proteasome inhibition, some of them, such as a transcription factor Tcf20, and kinases Csnk1d and Pik3c2a, are insensitive to it. As for Tcf20, which contains polyQ stretches at N-terminus, its binding to mutant huntingtin aggregates is observed in neuro2a cells and in HD model mouse neurons. Notably, except Pik3c2a, the rest of the modifiers identified here are novel. Thus, our first large-scale RNAi screening in mammalian system identifies previously undescribed genetic players that regulate mutant huntingtin aggregation by several, possibly mammalian-specific mechanisms.

Abstract A28: Identification of HDAC inhibitor potentiating targets in acute myeloid leukemia cells by large-scale RNA-interference

Abstract The lysine deacetylase inhibitor suberoylanilide acid (SAHA) has shown promising but limited activity in the treatment of acute myeloid leukemia (AML). To identify potential targets for rational combination therapies that increase the efficacy of SAHA in AML, we used a functional RNA-interference (RNAi) screening approach to identify genes, that when inhibited, potentiate the in vitro anti-leukemic activity of SAHA. A total of 901 kinase, phosphatase and associated signaling genes were silenced, with four different siRNA sequences per gene, in combination with SAHA treatment. Log2 values of the ratio [(siRNA + SAHA)/(siRNA alone)] were calculated, with median and standard deviation determined on a per-plate basis. Hits were defined as ≥ 2 standard deviations from the log2 ratio median. Hit lists for each cell line were over-laid on an integrated functional relationship network. We applied a community detection algorithm to this sub-network and identified siRNA sensitive modules. Each module represents a highly connected set of genes in the integrated network. To identify the pathways represented by each module, we evaluated enrichment using the National Cancer Institute (NCI) Protein Interaction Database (PID) pathways. Several novel sensitizing targets, grouped into a small number of pathways, emerged from these screens. Some hits exhibit little to no anti-leukemic activity when silenced alone, indicative of synthetic lethal interaction with SAHA treatment. Initial validation experiments with siRNA and novel small molecule inhibitors confirm RNAi screen results and pharmacological sensitization is observed. The first reported large-scale HDAC inhibitor RNAi screen in leukemias has identified a novel rational combination that can be translated into design of a clinical trial. Citation Format: James M. Bogenberger, James E. Rudd, Donald Chow, Michelle Kassner, Holly Yin, Casey S. Greene, Raoul Tibes. Identification of HDAC inhibitor potentiating targets in acute myeloid leukemia cells by large-scale RNA-interference. [abstract]. In: Proceedings of the AACR Precision Medicine Series: Synthetic Lethal Approaches to Cancer Vulnerabilities; May 17-20, 2013; Bellevue, WA. Philadelphia (PA): AACR; Mol Cancer Ther 2013;12(5 Suppl):Abstract nr A28.

1Click1View: Interactive Visualization Methodology for RNAi Cell-Based Microscopic Screening

Technological advancements are constantly increasing the size and complexity of data resulting from large-scale RNA interference screens. This fact has led biologists to ask complex questions, which the existing, fully automated analyses are often not adequate to answer. We present a concept of 1Click1View (1C1V) as a methodology for interactive analytic software tools. 1C1V can be applied for two-dimensional visualization of image-based screening data sets from High Content Screening (HCS). Through an easy-to-use interface, one-click, one-view concept, and workflow based architecture, visualization method facilitates the linking of image data with numeric data. Such method utilizes state-of-the-art interactive visualization tools optimized for fast visualization of large scale image data sets. We demonstrate our method on an HCS dataset consisting of multiple cell features from two screening assays.