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      circHIPK3 nucleates IGF2BP2 and functions as a competing endogenous RNA

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          Abstract

          Circular RNAs (circRNAs) represent a class of widespread endogenous RNAs that regulate gene expression and thereby influence cell biological decisions with implications for the pathogenesis of several diseases. Here, we disclose a novel gene-regulatory role of circHIPK3 by combining analyses of large genomics datasets and mechanistic cell biological follow-up experiments. Specifically, we use temporal depletion of circHIPK3 or specific RNA binding proteins (RBPs) and identify several perturbed genes by RNA sequencing analyses. Using expression-coupled motif analyses of mRNA expression data from various knockdown experiments, we identify an 11-mer motif within circHIPK3, which is also enriched in genes that become downregulated upon circHIPK3 depletion. By mining eCLIP datasets, we find that the 11-mer motif constitutes a strong binding site for IGF2BP2 and validate this circHIPK3-IGF2BP2 interaction experimentally using RNA-immunoprecipitation and competition assays in bladder cancer cell lines. Our results suggest that circHIPK3 and IGF2BP2 mRNA targets compete for binding. Since the identified 11-mer motif found in circHIPK3 is enriched in upregulated genes following IGF2BP2 knockdown, and since IGF2BP2 depletion conversely globally antagonizes the effect of circHIPK3 knockdown on target genes, our results suggest that circHIPK3 can sequester IGF2BP2 as a competing endogenous RNA (ceRNA), leading to target mRNA stabilization. As an example of a circHIPK3-regulated gene, we focus on the STAT3 mRNA as a specific substrate of IGF2BP2 and validate that manipulation of circHIPK3 regulates IGF2BP2- STAT3 mRNA binding and thereby STAT3 mRNA levels. However, absolute copy number quantifications demonstrate that IGF2BP2 outnumbers circHIPK3 by orders of magnitude, which is inconsistent with a simple 1:1 ceRNA hypothesis. Instead, we show that circHIPK3 can nucleate multiple copies of IGF2BP2, potentially via phase separation, to produce IGF2BP2 condensates. Finally, we show that circHIPK3 expression correlates with overall survival of patients with bladder cancer. Our results are consistent with a model where relatively few cellular circHIPK3 molecules function as inducers of IGF2BP2 condensation thereby regulating STAT3 and other key factors for cell proliferation and potentially cancer progression.

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            The Sequence Alignment/Map format and SAMtools

            Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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              Fast gapped-read alignment with Bowtie 2.

              As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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                Author and article information

                Journal
                bioRxiv
                BIORXIV
                bioRxiv
                Cold Spring Harbor Laboratory
                14 September 2023
                : 2023.09.14.557527
                Affiliations
                [1 ]Department of Molecular Medicine (MOMA), Aarhus University Hospital, 8200 Aarhus N, Denmark
                [2 ]Departments of Otolaryngology-Head and Neck Surgery and Microbiology & Immunology, University of California, San Francisco, San Francisco, CA, USA
                [3 ]Department of Clinical Medicine, Aarhus University, 8000 Aarhus C, Denmark
                [4 ]Department of Molecular Biology and Genetics (MBG), Aarhus University, 8000 Aarhus C, Denmark
                [5 ]Department of Biomedicine, Aarhus University, 8000 Aarhus C, Denmark
                [6 ]Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA
                [7 ]Interdisciplinary Nanoscience Center (iNANO), Aarhus University, 8000 Aarhus C, Denmark
                [8 ]Bioinformatics Research Center (BiRC), Aarhus University, 8000 Aarhus C, Denmark
                [9 ]These authors contributed equally
                Author notes
                [* ]Co-corresponding authors: Trine Line Hauge Okholm, PhD, Departments of Otolaryngology-Head and Neck Surgery and Microbiology & Immunology, University of California, San Francisco, San Francisco, CA, USA, trineline.okholm@ 123456ucsf.edu ; Jakob Skou Pedersen, Professor, Department of Molecular Medicine, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Denmark, jakob.skou@ 123456clin.au.dk .; Christian Kroun Damgaard, Associate Professor, Department of Molecular Biology and Genetics, Universitetsbyen 81, 8000 Aarhus C, ckd@ 123456mbg.au.dk

                Author’s contributions

                TLHO, JSP and CKD conceived and developed the project. TLHO and CKD performed the data analyses and generated all figures. CKD and ABK conducted perturbation experiments of circHIPK3 and RBPs in UMUC3, J82, FL3, and HT-116 cells, ASO and 11-mer mutation experiments and proliferation assays including data analyses. AKH performed IGF2BP2 and circHIPK3 copy-number determinations, including data analyses. MLG and CKD performed Western blotting and immunofluorescence experiments including data analyses. MMN performed Regmex analyses. SSP and GWY performed RNA immunoprecipitation in HepG2 and K562 cells, while CKD and AK performed RNA immunoprecipitation in FL3 cells. SV profiled circRNA and gene expression in RNA-Seq data sets. LSK and JK profiled miRNA expression. LD contributed clinical cohorts. JSP and CKD supervised the project. TLHO, CKD, and JSP wrote the manuscript with input from the other authors.

                Article
                10.1101/2023.09.14.557527
                10515936
                37745562
                29c318d0-19bb-4f1d-af22-8b606761e216

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.

                History
                Funding
                Funded by: TLHO, MMN, JSP, Lundbeck Foundation, Danish Cancer Society, Danish Council for Independent Research ∣ Medical Sciences, FSS, Harboe Foundation, Aage and Johanne Louis-Hansen Foundation
                Award ID: R191-2015-1515, R124-A7869, DFF - 7016-00379, 19110, 19-2B-503
                Funded by: TLHO, Carlsberg Foundation Internationalisation Fellowship
                Award ID: CF19-0493
                Funded by: ABK, CKD, Danish Cancer Society, Lundbeck foundation
                Award ID: R167-A11105, R370-2021-858
                Funded by: CKD, Carlsberg Foundation
                Award ID: CF20-0236, CF18-0212
                Funded by: AKH, Dagmar Marshalls Fond
                Funded by: GWY, NIH, Allen Distinguished Investigator Award, Paul G. Allen Frontiers Group, Paul G. Allen Foundation, NEYE Foundation
                Award ID: R01 HG004659, U24 HG009889
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