Subtype-Associated Epigenomic Landscape and 3D Genome

Total Page:16

File Type:pdf, Size:1020Kb

Subtype-Associated Epigenomic Landscape and 3D Genome Iyyanki et al. Genome Biology (2021) 22:105 https://doi.org/10.1186/s13059-021-02325-y RESEARCH Open Access Subtype-associated epigenomic landscape and 3D genome structure in bladder cancer Tejaswi Iyyanki1,2†, Baozhen Zhang2,3†,QixuanWang2†,YeHou2†,QiushiJin2, Jie Xu1,2, Hongbo Yang2, Tingting Liu2, Xiaotao Wang2, Fan Song1,2,YuLuan2, Hironobu Yamashita4,5,RubyChien6,HuijueLyu2, Lijun Zhang7,LuWang2, Joshua Warrick4,5, Jay D. Raman5, Joshua J. Meeks8, David J. DeGraff4,5* and Feng Yue2,9* * Correspondence: ddegraff@ pennstatehealth.psu.edu; yue@ Abstract: Muscle-invasive bladder cancers are characterized by their distinct northwestern.edu expression of luminal and basal genes, which could be used to predict key clinical † Tejaswi Iyyanki, Baozhen Zhang, features such as disease progression and overall survival. Transcriptionally, FOXA1, Qixuan Wang and Ye Hou contributed equally to this work. GATA3, and PPARG are shown to be essential for luminal subtype-specific gene 4Department of Pathology and regulation and subtype switching, while TP63, STAT3, and TFAP2 family members are Laboratory Medicine, The critical for regulation of basal subtype-specific genes. Despite these advances, the Pennsylvania State University, College of Medicine, Hershey, PA, underlying epigenetic mechanisms and 3D chromatin architecture responsible for USA subtype-specific regulation in bladder cancer remain unknown. 2Department of Biochemistry and Molecular Genetics, Feinberg School Result: We determine the genome-wide transcriptome, enhancer landscape, and of Medicine Northwestern transcription factor binding profiles of FOXA1 and GATA3 in luminal and basal University, Chicago, IL, USA subtypes of bladder cancer. Furthermore, we report the first-ever mapping of Full list of author information is available at the end of the article genome-wide chromatin interactions by Hi-C in both bladder cancer cell lines and primary patient tumors. We show that subtype-specific transcription is accompanied by specific open chromatin and epigenomic marks, at least partially driven by distinct transcription factor binding at distal enhancers of luminal and basal bladder cancers. Finally, we identify a novel clinically relevant transcription factor, Neuronal PAS Domain Protein 2 (NPAS2), in luminal bladder cancers that regulates other subtype-specific genes and influences cancer cell proliferation and migration. Conclusion: In summary, our work identifies unique epigenomic signatures and 3D genome structures in luminal and basal urinary bladder cancers and suggests a novel link between the circadian transcription factor NPAS2 and a clinical bladder cancer subtype. Introduction Urinary bladder cancers (BLCA) are the second most commonly diagnosed urologic malignancy in the USA, with over 81,400 total new cases diagnosed in 2019 [1, 2]. As BLCA is a morbid disease that is costly to treat, increased molecular understanding is required [3]. Expression of luminal (FOXA1, GATA3, PPARG, etc.) and basal (KRT1, KRT5, KRT6A, etc.) [4, 5] genes have been used to molecularly characterize muscle © The Author(s). 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Iyyanki et al. Genome Biology (2021) 22:105 Page 2 of 20 invasive BLCA. In particular, the presence of basal BLCA, which is often enriched for squamous differentiation, is associated with significant morbidity, disease progression, and lower survival [6, 7]. Recent studies have identified both luminal (FOXA1, GATA3, and PPARG [8]) and basal (TP63 [9–12], STAT3 [4, 13–15], TFAP2A, and TFAP2C [16]) -specific transcrip- tion factors (TFs) with functional roles in BLCA. For instance, we previously reported that FOXA1 and GATA3 cooperate with PPARG activation to drive trans- differentiation of basal BLCA cells to luminal subtype [8]. This observation is in agree- ment with the role of these factors in maintaining urothelial cell differentiation [17, 18] and supports a role for inactivation of FOXA1, GATA3, and/or PPARG during BLCA progression to a basal subtype. Subtype-specific TFs also appear to drive programs in oncogenesis and tumor progression. For example, basal factors STAT3, TP63, and TFAP2A/C have been shown to promote tumor cell invasion and/or metastasis [12, 13, 16]. Similarly loss of FOXA1 [19] and GATA3 [20] have been shown to promote cell migration and invasion. Therefore, specific TFs play a key role in subtype specification. In addition to directly regulating transcription, studies show that TFs regulate gene expression through epigenetic histone modifications and open chromatin accessibility in breast cancers [21–24]. However, the degree to which the specific repertoire of TFs, epi- genetic open chromatin TF accessibility, histone modifications, and 3D genome architec- ture cooperate for subtype expression is unknown. Therefore, we performed the most comprehensive set of genome-wide experiments to systematically map the epigenome, transcriptome, TF binding, and 3D chromatin loops. To our knowledge, this is the first re- port identifying 3D genome architecture in bladder cancer. Our work highlights the rele- vance of epigenetic modifications, open chromatin accessibility, and TF repertoire and identifies a novel identified basic helix loop helix (bHLH) TF NPAS2, all of which cooper- ate in the coordination of subtype-specific gene expression in bladder cancer. Results Comprehensive epigenomic profiling in both BLCA lines and primary tumors In this project, we performed RNA-Seq, ChIP-Seq for Histone 3 lysine 27 acetylation (H3K27ac), Assay for Transposase-Accessible Chromatin using sequencing (ATAC- Seq), and genome-wide chromatin confirmation capture experiments (Hi-C) on 4 blad- der cancer cell lines (Fig. 1a), two of which (RT4 and SW780) were previously anno- tated as luminal and the two others (SCABER and HT1376) that were characterized as basal [8, 25]. Based on the RNA-Seq data generated in this study, we used a previously reported molecular subtyping approach [26] to confirm assignment to luminal and basal states. Our results confirmed RT4 and SW780 as belonging to the Luminal- papillary subtype, while SCABER and HT1376 belong to the Basal/squamous subtype (Additional file 1: Table S1). Each experiment in bladder cancer cell lines has at least two biological replicates (Additional file 2: Table S2) and we observed a high correl- ation between the two replicates (Additional file 3: Table S3). More importantly, we performed the same set of experiments on four patient muscle-invasive bladder tumors as well. By using the same molecular subtyping method, we determined their subtypes as the following: T1 is Luminal-papillary, T3 is Stroma-rich, and T4 and T5 are basal/ squamous. Iyyanki et al. Genome Biology (2021) 22:105 Page 3 of 20 Fig. 1 Luminal and basal transcriptional BLCA subtypes are associated with distinct promoter and distal enhancers’ activity at the epigenetic level. a Overall design of the study. b Differential expression gene (DEG) analysis of luminal cell lines (RT4 and SW780) and basal cell lines (SCABER and HT1376) shows 427 basal-specific upregulated genes and 524 luminal-specific upregulated genes. c Heatmap of differential H3K27ac ChIP-Seq at promoters (left). Signal H3K27ac intensity profiles for each cluster of BLCA cells (right). d Genome browser signal tracks for a panel of luminal and basal genes. Shown here are the tracks of H3K27ac ChIP-Seq, ATAC-Seq, and RNA-Seq data in RT4, SW780, SCABER, and HT1376 cells. e Promoter H3K27ac and its associated RNA-Seq signals for selected luminal and basal genes shows remarkable similarity. f Integrated H3K27ac peaks at distal enhancers and RNA-Seq gene expression association model identifies putative enhancers and gene regulation. Top 10,000 most variable enhancers (left heatmap) are plotted along with their corresponding gene expression (right heatmap). g Correlations of genome-wide H3K27ac signals between the bladder cancer cell lines and tumor samples demonstrate similarity of enhancer landscape Luminal and basal transcriptional BLCA subtypes are associated with distinct promoter and distal enhancers activity at the epigenetic level Enrichment of H3K27ac signals has been used to predict both active promoters and distal enhancers [27, 28]. Therefore, we first performed ChIP-Seq for H3K27ac in all four cell types and four patient samples. We observed that biologic replicates following H3K27ac ChIP-seq always clustered together, indicating our results are highly reprodu- cible (Additional file 4: Figure S1A). Further, we found that two luminal
Recommended publications
  • SUPPLEMENTARY MATERIAL Bone Morphogenetic Protein 4 Promotes
    www.intjdevbiol.com doi: 10.1387/ijdb.160040mk SUPPLEMENTARY MATERIAL corresponding to: Bone morphogenetic protein 4 promotes craniofacial neural crest induction from human pluripotent stem cells SUMIYO MIMURA, MIKA SUGA, KAORI OKADA, MASAKI KINEHARA, HIROKI NIKAWA and MIHO K. FURUE* *Address correspondence to: Miho Kusuda Furue. Laboratory of Stem Cell Cultures, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8, Saito-Asagi, Ibaraki, Osaka 567-0085, Japan. Tel: 81-72-641-9819. Fax: 81-72-641-9812. E-mail: [email protected] Full text for this paper is available at: http://dx.doi.org/10.1387/ijdb.160040mk TABLE S1 PRIMER LIST FOR QRT-PCR Gene forward reverse AP2α AATTTCTCAACCGACAACATT ATCTGTTTTGTAGCCAGGAGC CDX2 CTGGAGCTGGAGAAGGAGTTTC ATTTTAACCTGCCTCTCAGAGAGC DLX1 AGTTTGCAGTTGCAGGCTTT CCCTGCTTCATCAGCTTCTT FOXD3 CAGCGGTTCGGCGGGAGG TGAGTGAGAGGTTGTGGCGGATG GAPDH CAAAGTTGTCATGGATGACC CCATGGAGAAGGCTGGGG MSX1 GGATCAGACTTCGGAGAGTGAACT GCCTTCCCTTTAACCCTCACA NANOG TGAACCTCAGCTACAAACAG TGGTGGTAGGAAGAGTAAAG OCT4 GACAGGGGGAGGGGAGGAGCTAGG CTTCCCTCCAACCAGTTGCCCCAAA PAX3 TTGCAATGGCCTCTCAC AGGGGAGAGCGCGTAATC PAX6 GTCCATCTTTGCTTGGGAAA TAGCCAGGTTGCGAAGAACT p75 TCATCCCTGTCTATTGCTCCA TGTTCTGCTTGCAGCTGTTC SOX9 AATGGAGCAGCGAAATCAAC CAGAGAGATTTAGCACACTGATC SOX10 GACCAGTACCCGCACCTG CGCTTGTCACTTTCGTTCAG Suppl. Fig. S1. Comparison of the gene expression profiles of the ES cells and the cells induced by NC and NC-B condition. Scatter plots compares the normalized expression of every gene on the array (refer to Table S3). The central line
    [Show full text]
  • Genetic Factors in Nonsyndromic Orofacial Clefts
    Published online: 2021-02-12 THIEME Review Article 101 Genetic Factors in Nonsyndromic Orofacial Clefts Mahamad Irfanulla Khan1 Prashanth C.S.2 Narasimha Murthy Srinath3 1 Department of Orthodontics & Dentofacial Orthopedics, The Oxford Address for correspondence Mahamad Irfanulla Khan, BDS, MDS, Dental College, Bangalore, Karnataka, India Department of Orthodontics & Dentofacial Orthopedics, The Oxford 2 Department of Orthodontics & Dentofacial Orthopedics, DAPM R.V. Dental College, Bangalore, Karnataka 560068, India Dental College, Bangalore, Karnataka, India (e-mail: [email protected]). 3 Department of Oral & Maxillofacial Surgery, Krishnadevaraya College of Dental Sciences, Bangalore, Karnataka, India Global Med Genet 2020;7:101–108. Abstract Orofacial clefts (OFCs) are the most common congenital birth defects in humans and immediately recognized at birth. The etiology remains complex and poorly understood and seems to result from multiple genetic and environmental factors along with gene– environment interactions. It can be classified into syndromic (30%) and nonsyndromic (70%) clefts. Nonsyndromic OFCs include clefts without any additional physical or Keywords cognitive deficits. Recently, various genetic approaches, such as genome-wide associ- ► orofacial clefts ation studies (GWAS), candidate gene association studies, and linkage analysis, have ► nonsyndromic identified multiple genes involved in the etiology of OFCs. ► genetics This article provides an insight into the multiple genes involved in the etiology of OFCs. ► gene mutation Identification of specific genetic causes of clefts helps in a better understanding of the ► genome-wide molecular pathogenesis of OFC. In the near future, it helps to provide a more accurate association study diagnosis, genetic counseling, personalized medicine for better clinical care, and ► linkage analysis prevention of OFCs.
    [Show full text]
  • Figure S1. Basic Information of RNA-Seq Results. (A) Bar Plot of Reads Component for Each Sample
    Figure S1. Basic information of RNA-seq results. (A) Bar plot of reads component for each sample. (B) Dot plot shows the principal component analysis (PCA) of each sample. (C) Venn diagram of DEGs for three time points, the overlap part of the circles represents common differentially expressed genes between combinations. Figure S2. Scatter plot of DEGs for each time point. The X and Y axes represent the logarithmic value of gene expression. Red represents up-regulated DEG, blue represents down-regulated DEG, and gray represents non-DEG. Table S1. Primers used for quantitative real-time PCR analysis of DEGs. Gene Primer Sequence Forward 5’-CTACGAGTGGATGGTCAAGAGC-3’ FOXO1 Reverse 5’-CCAGTTCCTTCATTCTGCACACG-3’ Forward 5’-GACGTCCGGCATCAGAGAAA-3’ IRS2 Reverse 5’-TCCACGGCTAATCGTCACAG-3’ Forward 5’-CACAACCAGGACCTCACACC-3’ IRS1 Reverse 5’-CTTGGCACGATAGAGAGCGT-3’ Forward 5’-AGGATACCACTCCCAACAGACCT-3’ IL6 Reverse 5’-CAAGTGCATCATCGTTGTTCATAC-3’ Forward 5’-TCACGTTGTACGCAGCTACC-3’ CCL5 Reverse 5’-CAGTCCTCTTACAGCCTTTGG-3’ Forward 5’-CTGTGCAGCCGCAGTGCCTACC-3’ BMP7 Reverse 5’-ATCCCTCCCCACCCCACCATCT-3’ Forward 5’-CTCTCCCCCTCGACTTCTGA-3’ BCL2 Reverse 5’-AGTCACGCGGAACACTTGAT-3’ Forward 5’-CTGTCGAACACAGTGGTACCTG-3’ FGF7 Reverse 5’-CCAACTGCCACTGTCCTGATTTC-3’ Forward 5’-GGGAGCCAAAAGGGTCATCA-3’ GAPDH Reverse 5’-CGTGGACTGTGGTCATGAGT-3’ Supplementary material: Differentially expressed genes log2(SADS-CoV_12h/ Qvalue (SADS-CoV _12h/ Gene Symbol Control_12h) Control_12h) PTGER4 -1.03693 6.79E-04 TMEM72 -3.08132 3.66E-04 IFIT2 -1.02918 2.11E-07 FRAT2 -1.09282 4.66E-05
    [Show full text]
  • Integrated Computational Approach to the Analysis of RNA-Seq Data Reveals New Transcriptional Regulators of Psoriasis
    OPEN Experimental & Molecular Medicine (2016) 48, e268; doi:10.1038/emm.2016.97 & 2016 KSBMB. All rights reserved 2092-6413/16 www.nature.com/emm ORIGINAL ARTICLE Integrated computational approach to the analysis of RNA-seq data reveals new transcriptional regulators of psoriasis Alena Zolotarenko1, Evgeny Chekalin1, Alexandre Mesentsev1, Ludmila Kiseleva2, Elena Gribanova2, Rohini Mehta3, Ancha Baranova3,4,5,6, Tatiana V Tatarinova6,7,8, Eleonora S Piruzian1 and Sergey Bruskin1,5 Psoriasis is a common inflammatory skin disease with complex etiology and chronic progression. To provide novel insights into the regulatory molecular mechanisms of the disease, we performed RNA sequencing analysis of 14 pairs of skin samples collected from patients with psoriasis. Subsequent pathway analysis and extraction of the transcriptional regulators governing psoriasis-associated pathways was executed using a combination of the MetaCore Interactome enrichment tool and the cisExpress algorithm, followed by comparison to a set of previously described psoriasis response elements. A comparative approach allowed us to identify 42 core transcriptional regulators of the disease associated with inflammation (NFκB, IRF9, JUN, FOS, SRF), the activity of T cells in psoriatic lesions (STAT6, FOXP3, NFATC2, GATA3, TCF7, RUNX1), the hyper- proliferation and migration of keratinocytes (JUN, FOS, NFIB, TFAP2A, TFAP2C) and lipid metabolism (TFAP2, RARA, VDR). In addition to the core regulators, we identified 38 transcription factors previously not associated with the disease that can clarify the pathogenesis of psoriasis. To illustrate these findings, we analyzed the regulatory role of one of the identified transcription factors (TFs), FOXA1. Using ChIP-seq and RNA-seq data, we concluded that the atypical expression of the FOXA1 TF is an important player in the disease as it inhibits the maturation of naive T cells into the (CD4+FOXA1+CD47+CD69+PD-L1(hi) FOXP3 − ) regulatory T cell subpopulation, therefore contributing to the development of psoriatic skin lesions.
    [Show full text]
  • Identification of Shared and Unique Gene Families Associated with Oral
    International Journal of Oral Science (2017) 9, 104–109 OPEN www.nature.com/ijos ORIGINAL ARTICLE Identification of shared and unique gene families associated with oral clefts Noriko Funato and Masataka Nakamura Oral clefts, the most frequent congenital birth defects in humans, are multifactorial disorders caused by genetic and environmental factors. Epidemiological studies point to different etiologies underlying the oral cleft phenotypes, cleft lip (CL), CL and/or palate (CL/P) and cleft palate (CP). More than 350 genes have syndromic and/or nonsyndromic oral cleft associations in humans. Although genes related to genetic disorders associated with oral cleft phenotypes are known, a gap between detecting these associations and interpretation of their biological importance has remained. Here, using a gene ontology analysis approach, we grouped these candidate genes on the basis of different functional categories to gain insight into the genetic etiology of oral clefts. We identified different genetic profiles and found correlations between the functions of gene products and oral cleft phenotypes. Our results indicate inherent differences in the genetic etiologies that underlie oral cleft phenotypes and support epidemiological evidence that genes associated with CL/P are both developmentally and genetically different from CP only, incomplete CP, and submucous CP. The epidemiological differences among cleft phenotypes may reflect differences in the underlying genetic causes. Understanding the different causative etiologies of oral clefts is
    [Show full text]
  • Bioinformatic Evaluation of Transcriptional Regulation of WNT Pathway Genes with Reference to Diabetic Nephropathy
    Bioinformatic evaluation of transcriptional regulation of WNT pathway genes with reference to diabetic nephropathy McKay, G. J., Kavanagh, D. H., Crean, J. K., & Maxwell, A. P. (2015). Bioinformatic evaluation of transcriptional regulation of WNT pathway genes with reference to diabetic nephropathy. Journal of Diabetes Research, [608691]. https://doi.org/10.1155/2016/7684038 Published in: Journal of Diabetes Research Document Version: Publisher's PDF, also known as Version of record Queen's University Belfast - Research Portal: Link to publication record in Queen's University Belfast Research Portal Publisher rights Copyright © 2015 Gareth J. McKay et al.This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. General rights Copyright for the publications made accessible via the Queen's University Belfast Research Portal is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The Research Portal is Queen's institutional repository that provides access to Queen's research output. Every effort has been made to ensure that content in the Research Portal does not infringe any person's rights, or applicable UK laws. If you discover content in the Research Portal that you believe breaches copyright or violates any law, please contact [email protected]. Download date:28. Sep. 2021 Hindawi Publishing Corporation Journal of Diabetes Research Article ID 608691 Research Article Bioinformatic Evaluation of Transcriptional Regulation of WNT Pathway Genes with reference to Diabetic Nephropathy Gareth J.
    [Show full text]
  • A Computational Approach for Identifying the Impact Of
    ering & B ne io Harishchander, J Bioengineer & Biomedical Sci 2017, 7:3 gi m n e e d io i c DOI: 10.4172/2155-9538.1000235 B a f l S Journal of o l c a i e n n r c u e o J ISSN: 2155-9538 Bioengineering & Biomedical Science Short Communication Open Access A Computational Approach for Identifying the Impact of Pharmacogenomics in Regulatory Networks to Understand Disease Pathology Harishchander A* Department of Bioinformatics, Sathyabama University, Chennai, Tamil Nadu, India Abstract In the current era of post genomics, there exist a varity of computational methodologies to understand the nature of disease pathology like RegNetworks, DisgiNet, pharmGkb, pharmacomiR and etc. In most of these computational methodologies either a seed pairing approach or a base pair complement is being followed. Hence there exists a gap in understanding the nature of disease pathology in a holistic view point. In this manuscript we combine the approach of seed pairing and graph theory to illustrate the impact of Pharmacogenomics in Regulatory Networks to understand disease Pathology. Keywords: Pharmacogenomics; Macromolecules; Phenotypes potentials [16,17]. This information can still be used to predict the new regulatory relationships between TFs and genes by matching Introduction the binding motifs in DNA sequences. Hence, these predictions were Events in gene regulation play vital roles in a various developmental based on TFBS to integrate into PharmacoReg to provide a more and physiological processes in a cell, in which macromolecules such as comprehensive landscape in gene regulation. Moreover, to include the RNAs, genes and proteins to coordinate and organize responses under post- transcriptional regulatory relationship, consideration of miRNAs ∼ various conditions [1].
    [Show full text]
  • Positional Specificity of Different Transcription Factor Classes Within Enhancers
    Positional specificity of different transcription factor classes within enhancers Sharon R. Grossmana,b,c, Jesse Engreitza, John P. Raya, Tung H. Nguyena, Nir Hacohena,d, and Eric S. Landera,b,e,1 aBroad Institute of MIT and Harvard, Cambridge, MA 02142; bDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139; cProgram in Health Sciences and Technology, Harvard Medical School, Boston, MA 02215; dCancer Research, Massachusetts General Hospital, Boston, MA 02114; and eDepartment of Systems Biology, Harvard Medical School, Boston, MA 02215 Contributed by Eric S. Lander, June 19, 2018 (sent for review March 26, 2018; reviewed by Gioacchino Natoli and Alexander Stark) Gene expression is controlled by sequence-specific transcription type-restricted enhancers (active in <50% of the cell types) and factors (TFs), which bind to regulatory sequences in DNA. TF ubiquitous enhancers (active in >90% of the cell types) (SI Ap- binding occurs in nucleosome-depleted regions of DNA (NDRs), pendix, Fig. S1C). which generally encompass regions with lengths similar to those We next sought to infer functional TF-binding sites within the protected by nucleosomes. However, less is known about where active regulatory elements. In a recent study (5), we found that within these regions specific TFs tend to be found. Here, we char- TF binding is strongly correlated with the quantitative DNA acterize the positional bias of inferred binding sites for 103 TFs accessibility of a region. Furthermore, the TF motifs associated within ∼500,000 NDRs across 47 cell types. We find that distinct with enhancer activity in reporter assays in a cell type corre- classes of TFs display different binding preferences: Some tend to sponded closely to those that are most enriched in the genomic have binding sites toward the edges, some toward the center, and sequences of active regulatory elements in that cell type (5).
    [Show full text]
  • (12) Patent Application Publication (10) Pub. No.: US 2009/0269772 A1 Califano Et Al
    US 20090269772A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2009/0269772 A1 Califano et al. (43) Pub. Date: Oct. 29, 2009 (54) SYSTEMS AND METHODS FOR Publication Classification IDENTIFYING COMBINATIONS OF (51) Int. Cl. COMPOUNDS OF THERAPEUTIC INTEREST CI2O I/68 (2006.01) CI2O 1/02 (2006.01) (76) Inventors: Andrea Califano, New York, NY G06N 5/02 (2006.01) (US); Riccardo Dalla-Favera, New (52) U.S. Cl. ........... 435/6: 435/29: 706/54; 707/E17.014 York, NY (US); Owen A. (57) ABSTRACT O'Connor, New York, NY (US) Systems, methods, and apparatus for searching for a combi nation of compounds of therapeutic interest are provided. Correspondence Address: Cell-based assays are performed, each cell-based assay JONES DAY exposing a different sample of cells to a different compound 222 EAST 41ST ST in a plurality of compounds. From the cell-based assays, a NEW YORK, NY 10017 (US) Subset of the tested compounds is selected. For each respec tive compound in the Subset, a molecular abundance profile from cells exposed to the respective compound is measured. (21) Appl. No.: 12/432,579 Targets of transcription factors and post-translational modu lators of transcription factor activity are inferred from the (22) Filed: Apr. 29, 2009 molecular abundance profile data using information theoretic measures. This data is used to construct an interaction net Related U.S. Application Data work. Variances in edges in the interaction network are used to determine the drug activity profile of compounds in the (60) Provisional application No. 61/048.875, filed on Apr.
    [Show full text]
  • PDF-Document
    Supplementary Material Investigating the role of microRNA and Transcription Factor co-regulatory networks in Multiple Sclerosis pathogenesis Nicoletta Nuzziello1, Laura Vilardo2, Paride Pelucchi2, Arianna Consiglio1, Sabino Liuni1, Maria Trojano3 and Maria Liguori1* 1National Research Council, Institute of Biomedical Technologies, Bari Unit, Bari, Italy 2National Research Council, Institute of Biomedical Technologies, Segrate Unit, Milan, Italy 3Department of Basic Sciences, Neurosciences and Sense Organs, University of Bari, Bari, Italy Supplementary Figure S1 Frequencies of GO terms and canonical pathways. (a) Histogram illustrates the GO terms associated to assembled sub-networks. (b) Histogram illustrates the canonical pathways associated to assembled sub-network. a b Legends for Supplementary Tables Supplementary Table S1 List of feedback (FBL) and feed-forward (FFL) loops in miRNA-TF co-regulatory network. Supplementary Table S2 List of significantly (adj p-value < 0.05) GO-term involved in MS. The first column (from the left) listed the GO-term (biological processes) involved in MS. For each functional class, the main attributes (gene count, p-value, adjusted p-value of the enriched terms for multiple testing using the Benjamini correction) have been detailed. In the last column (on the right), we summarized the target genes involved in each enriched GO-term. Supplementary Table S3 List of significantly (adj p-value < 0.05) enriched pathway involved in MS. The first column (from the left) listed the enriched pathway involved in MS. For each pathway, the main attributes (gene count, p-value, adjusted p-value of the enriched terms for multiple testing using the Benjamini correction) have been detailed. In the last column (on the right), we summarized the target genes involved in each enriched pathway.
    [Show full text]
  • A Novel Mirna Cluster Within the Circadian Clock Gene NPAS2 and the Implications of Rs1811399, an Autism Enriched Single Nucleot
    A novel miRNA cluster within the circadian clock gene NPAS2 and the implications of rs1811399, an autism enriched single nucleotide polymorphism. Thesis submitted in accordance with the requirements of Bangor University for the degree of Doctor in Philosophy Dylan Wyn Jones Bangor University, UK School of Biological Sciences December 2014 ACKNOWLEDGMENTS I would like to extend my deepest thanks to Dr Thomas Caspari for taking on this difficult project and entrusting me to deliver the result. I am grateful for all his work and insight into the scientific process. I would also care to extend my gratitude to Dr Natalia Harrison who trained me during the first few months in the intricacies of tissue culture. I would also like to commend Dr Brad Nicholas and Dr Dawn Wimpory for their invaluable insights and assistance throughout the project. Without their prior work in the field I would not have had these three years. Thanks also go to the Knowledge Economy Skills Scholarship (KESS) and Autism Cymru for funding this research project. ************ Buaswn yn hoffi diolch, a cyflwyno, yr gwaith yma I Bethan Davies-Jones fy annwyl wraig. Dros yr tair blynedd ddweutha rwyt wedi bod yn gefn i mi ac yn ysbridoliaeth. Nid wyf yn deud gormod wrth ddweud na hebdda ti ni buaswn wedi cyraedd yr lle rwyf wedi. I fy nheulu am yr holl cefnogaeth drost y blynyddoedd. I Mam a Dad am fy magu ac I Endaf, fy mhrawd. Hefyd mewn côf o Nain a Taid Rhos-y-bôl a Taid Tŷ Croes. Effallai nid ydych yma i weld diwedd fy nhaith drwyr brif ysgol ond mae’r cofion melus yn ein cadw ni yn fynd.
    [Show full text]
  • Transcriptome Profiling of the Cardiac Neural Crest Reveals a Critical Role for Mafb
    Author’s Accepted Manuscript provided by Caltech Authors - Main View metadata, citation and similar papers at core.ac.uk CORE brought to you by Transcriptome profiling of the cardiac neural crest reveals a critical role for MafB Saori Tani-Matsuhana, Felipe Monteleone Vieceli, Shashank Gandhi, Kunio Inoue, Marianne E. Bronner www.elsevier.com/locate/developmentalbiology PII: S0012-1606(18)30236-7 DOI: https://doi.org/10.1016/j.ydbio.2018.09.015 Reference: YDBIO7863 To appear in: Developmental Biology Received date: 1 April 2018 Revised date: 5 September 2018 Accepted date: 15 September 2018 Cite this article as: Saori Tani-Matsuhana, Felipe Monteleone Vieceli, Shashank Gandhi, Kunio Inoue and Marianne E. Bronner, Transcriptome profiling of the cardiac neural crest reveals a critical role for MafB, Developmental Biology, https://doi.org/10.1016/j.ydbio.2018.09.015 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting galley proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Transcriptome profiling of the cardiac neural crest reveals a critical role for MafB Saori Tani-Matsuhanaa,b1, Felipe Monteleone Viecelia1, Shashank Gandhia, Kunio Inoueb, Marianne E. Bronnera* aDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA bDepartment of Biology, Graduate School of Science, Kobe University, Kobe, 657-8501, Japan *Correspondence to: [email protected] ABSTRACT The cardiac neural crest originates in the caudal hindbrain, migrates to the heart, and contributes to septation of the cardiac outflow tract and ventricles, an ability unique to this neural crest subpopulation.
    [Show full text]