Haplotype-Resolved De Novo Assembly of the Vero Cell Line Genome
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Supplementary Methods
SUPPLEMENTARY METHODS Epilepsy cohorts Epilepsy cohorts contributing to the meta-analysis are detailed below. EPIGEN (Reported by – Chantal Depondt, Sanjay Sisodiya, Norman Delanty, Gianpiero Cavalleri, Erin Heinzen and David Goldstein) The EPIGEN study consisted of epilepsy cohorts from Beaumont Hospital Dublin (Ireland), Université Libre de Bruxelles (ULB, Belgium), Duke University Medical Centre (North Carolina, USA) and University College Hospital London (UK). Inclusion Criteria: Except for Duke, only adult (>16 years) patients with epilepsy were recruited. Exclusion Criteria: No specific exclusion criteria. Quality assurance: At all sites, subjects were recruited and phenotyped by experienced epilepsy specialists. At Duke, all cases underwent independent case-record review by an epilepsy nurse specialist, and ambiguous diagnoses were re-evaluated by a second epileptologist. If the diagnosis remained unclear, then the patient was excluded from the study. For London, all cases underwent review by independent epileptologists. For Brussels, study PI (Chantal Depondt) reviewed the classification of all cases by case-note review. For Dublin, no systematic quality assurance was undertaken. Site-specific details for each EPIGEN cohort as organized for the analysis are as follows: – EPIGEN-Dublin Patients were recruited from a specialized epilepsy clinic at Beaumont Hospital, Dublin, Ireland. Patients were mostly of Irish ethnicity. Patients were genotyped on the Illumina platform using a combination of chips (610-Quad+550+300v1/Omni1-Quad). – EPIGEN-Brussels Patients were recruited from epilepsy clinics at UZ Gasthuisberg, Katholieke Universiteit Leuven, and Hôpital Erasme, Université Libre de Bruxelles. Patients were largely of Belgian ethnicity. Patients were genotyped on the Illumina platform using a combination of chips (610-Quad/300 V1 & V2). -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
IL21R Expressing CD14+CD16+ Monocytes Expand in Multiple
Plasma Cell Disorders SUPPLEMENTARY APPENDIX IL21R expressing CD14 +CD16 + monocytes expand in multiple myeloma patients leading to increased osteoclasts Marina Bolzoni, 1 Domenica Ronchetti, 2,3 Paola Storti, 1,4 Gaetano Donofrio, 5 Valentina Marchica, 1,4 Federica Costa, 1 Luca Agnelli, 2,3 Denise Toscani, 1 Rosanna Vescovini, 1 Katia Todoerti, 6 Sabrina Bonomini, 7 Gabriella Sammarelli, 1,7 Andrea Vecchi, 8 Daniela Guasco, 1 Fabrizio Accardi, 1,7 Benedetta Dalla Palma, 1,7 Barbara Gamberi, 9 Carlo Ferrari, 8 Antonino Neri, 2,3 Franco Aversa 1,4,7 and Nicola Giuliani 1,4,7 1Myeloma Unit, Dept. of Medicine and Surgery, University of Parma; 2Dept. of Oncology and Hemato-Oncology, University of Milan; 3Hematology Unit, “Fondazione IRCCS Ca’ Granda”, Ospedale Maggiore Policlinico, Milan; 4CoreLab, University Hospital of Parma; 5Dept. of Medical-Veterinary Science, University of Parma; 6Laboratory of Pre-clinical and Translational Research, IRCCS-CROB, Referral Cancer Center of Basilicata, Rionero in Vulture; 7Hematology and BMT Center, University Hospital of Parma; 8Infectious Disease Unit, University Hospital of Parma and 9“Dip. Oncologico e Tecnologie Avanzate”, IRCCS Arcispedale Santa Maria Nuova, Reggio Emilia, Italy ©2017 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol. 2016.153841 Received: August 5, 2016. Accepted: December 23, 2016. Pre-published: January 5, 2017. Correspondence: [email protected] SUPPLEMENTAL METHODS Immunophenotype of BM CD14+ in patients with monoclonal gammopathies. Briefly, 100 μl of total BM aspirate was incubated in the dark with anti-human HLA-DR-PE (clone L243; BD), anti-human CD14-PerCP-Cy 5.5, anti-human CD16-PE-Cy7 (clone B73.1; BD) and anti-human CD45-APC-H 7 (clone 2D1; BD) for 20 min. -
Supplementary Figures 1-14 and Supplementary References
SUPPORTING INFORMATION Spatial Cross-Talk Between Oxidative Stress and DNA Replication in Human Fibroblasts Marko Radulovic,1,2 Noor O Baqader,1 Kai Stoeber,3† and Jasminka Godovac-Zimmermann1* 1Division of Medicine, University College London, Center for Nephrology, Royal Free Campus, Rowland Hill Street, London, NW3 2PF, UK. 2Insitute of Oncology and Radiology, Pasterova 14, 11000 Belgrade, Serbia 3Research Department of Pathology and UCL Cancer Institute, Rockefeller Building, University College London, University Street, London WC1E 6JJ, UK †Present Address: Shionogi Europe, 33 Kingsway, Holborn, London WC2B 6UF, UK TABLE OF CONTENTS 1. Supplementary Figures 1-14 and Supplementary References. Figure S-1. Network and joint spatial razor plot for 18 enzymes of glycolysis and the pentose phosphate shunt. Figure S-2. Correlation of SILAC ratios between OXS and OAC for proteins assigned to the SAME class. Figure S-3. Overlap matrix (r = 1) for groups of CORUM complexes containing 19 proteins of the 49-set. Figure S-4. Joint spatial razor plots for the Nop56p complex and FIB-associated complex involved in ribosome biogenesis. Figure S-5. Analysis of the response of emerin nuclear envelope complexes to OXS and OAC. Figure S-6. Joint spatial razor plots for the CCT protein folding complex, ATP synthase and V-Type ATPase. Figure S-7. Joint spatial razor plots showing changes in subcellular abundance and compartmental distribution for proteins annotated by GO to nucleocytoplasmic transport (GO:0006913). Figure S-8. Joint spatial razor plots showing changes in subcellular abundance and compartmental distribution for proteins annotated to endocytosis (GO:0006897). Figure S-9. Joint spatial razor plots for 401-set proteins annotated by GO to small GTPase mediated signal transduction (GO:0007264) and/or GTPase activity (GO:0003924). -
Genetic and Pharmacological Approaches to Preventing Neurodegeneration
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2012 Genetic and Pharmacological Approaches to Preventing Neurodegeneration Marco Boccitto University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Neuroscience and Neurobiology Commons Recommended Citation Boccitto, Marco, "Genetic and Pharmacological Approaches to Preventing Neurodegeneration" (2012). Publicly Accessible Penn Dissertations. 494. https://repository.upenn.edu/edissertations/494 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/494 For more information, please contact [email protected]. Genetic and Pharmacological Approaches to Preventing Neurodegeneration Abstract The Insulin/Insulin-like Growth Factor 1 Signaling (IIS) pathway was first identified as a major modifier of aging in C.elegans. It has since become clear that the ability of this pathway to modify aging is phylogenetically conserved. Aging is a major risk factor for a variety of neurodegenerative diseases including the motor neuron disease, Amyotrophic Lateral Sclerosis (ALS). This raises the possibility that the IIS pathway might have therapeutic potential to modify the disease progression of ALS. In a C. elegans model of ALS we found that decreased IIS had a beneficial effect on ALS pathology in this model. This beneficial effect was dependent on activation of the transcription factor daf-16. To further validate IIS as a potential therapeutic target for treatment of ALS, manipulations of IIS in mammalian cells were investigated for neuroprotective activity. Genetic manipulations that increase the activity of the mammalian ortholog of daf-16, FOXO3, were found to be neuroprotective in a series of in vitro models of ALS toxicity. -
A Population-Specific Major Allele Reference Genome from the United
Edith Cowan University Research Online ECU Publications Post 2013 2021 A population-specific major allele efr erence genome from the United Arab Emirates population Gihan Daw Elbait Andreas Henschel Guan K. Tay Edith Cowan University Habiba S. Al Safar Follow this and additional works at: https://ro.ecu.edu.au/ecuworkspost2013 Part of the Life Sciences Commons, and the Medicine and Health Sciences Commons 10.3389/fgene.2021.660428 Elbait, G. D., Henschel, A., Tay, G. K., & Al Safar, H. S. (2021). A population-specific major allele reference genome from the United Arab Emirates population. Frontiers in Genetics, 12, article 660428. https://doi.org/10.3389/ fgene.2021.660428 This Journal Article is posted at Research Online. https://ro.ecu.edu.au/ecuworkspost2013/10373 fgene-12-660428 April 19, 2021 Time: 16:18 # 1 ORIGINAL RESEARCH published: 23 April 2021 doi: 10.3389/fgene.2021.660428 A Population-Specific Major Allele Reference Genome From The United Arab Emirates Population Gihan Daw Elbait1†, Andreas Henschel1,2†, Guan K. Tay1,3,4,5 and Habiba S. Al Safar1,3,6* 1 Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates, 2 Department of Electrical Engineering and Computer Science, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates, 3 Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates, 4 Division of Psychiatry, Faculty of Health and Medical Sciences, The University of Western Australia, Crawley, WA, Australia, 5 School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia, 6 Department of Genetics and Molecular Biology, College of Medicine and Health Sciences, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates The ethnic composition of the population of a country contributes to the uniqueness of each national DNA sequencing project and, ideally, individual reference genomes are required to reduce the confounding nature of ethnic bias. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Pct.1 Pct.2 Adj P
Supplementary material Gut Supplementary Table 3. Marker genes in each malignant epithelial cells cluster Gene Log(Fold-change) Pct.1 Pct.2 Adj p- value Cluster LEFTY1 2.690865644 0.899 0.067 0.00E+00 C1 TFF2 2.186713379 0.855 0.36 0.00E+00 C1 CCT2 1.701377329 0.801 0.283 0.00E+00 C1 SPINK4 1.663911876 0.654 0.128 0.00E+00 C1 TFF3 1.632604627 0.882 0.43 0.00E+00 C1 CXCL17 1.616238928 0.659 0.079 0.00E+00 C1 LDHB 1.407263152 0.711 0.137 0.00E+00 C1 CLDN18 1.398880496 0.825 0.278 0.00E+00 C1 TESC 1.382790712 0.79 0.212 0.00E+00 C1 PDIA6 1.295630983 0.789 0.404 0.00E+00 C1 PSCA 1.263596359 0.922 0.241 0.00E+00 C1 SRD5A3 1.246561606 0.586 0.098 0.00E+00 C1 PDIA4 1.180717046 0.849 0.419 0.00E+00 C1 DPCR1 1.175754587 0.506 0.06 0.00E+00 C1 WBP5 1.163957541 0.734 0.106 0.00E+00 C1 LYZ 1.141614179 0.969 0.727 0.00E+00 C1 RAP1B 1.125989315 0.68 0.255 0.00E+00 C1 S100P 1.055862172 0.962 0.758 0.00E+00 C1 OS9 1.05478066 0.787 0.338 0.00E+00 C1 R3HDM2 1.031695733 0.742 0.167 0.00E+00 C1 B3GNT7 1.031632795 0.549 0.088 0.00E+00 C1 MORF4L1 1.023176967 0.768 0.409 0.00E+00 C1 TMEM165 0.999912261 0.649 0.196 0.00E+00 C1 GALNT3 0.995165397 0.705 0.254 0.00E+00 C1 TFF1 0.962929536 0.96 0.591 0.00E+00 C1 LY6D 0.94328396 0.484 0.007 0.00E+00 C1 MIA 0.895355862 0.623 0.103 0.00E+00 C1 MDM2 0.864864363 0.615 0.089 0.00E+00 C1 YEATS4 0.864197638 0.585 0.128 0.00E+00 C1 CPM 0.831257805 0.511 0.026 0.00E+00 C1 NGFRAP1 0.776686405 0.552 0.027 0.00E+00 C1 TCEAL8 0.747773737 0.549 0.064 0.00E+00 C1 SFTA2 0.710176136 0.52 0.066 0.00E+00 C1 FKBP10 0.567908872 0.427 -
Analysis of the Indacaterol-Regulated Transcriptome in Human Airway
Supplemental material to this article can be found at: http://jpet.aspetjournals.org/content/suppl/2018/04/13/jpet.118.249292.DC1 1521-0103/366/1/220–236$35.00 https://doi.org/10.1124/jpet.118.249292 THE JOURNAL OF PHARMACOLOGY AND EXPERIMENTAL THERAPEUTICS J Pharmacol Exp Ther 366:220–236, July 2018 Copyright ª 2018 by The American Society for Pharmacology and Experimental Therapeutics Analysis of the Indacaterol-Regulated Transcriptome in Human Airway Epithelial Cells Implicates Gene Expression Changes in the s Adverse and Therapeutic Effects of b2-Adrenoceptor Agonists Dong Yan, Omar Hamed, Taruna Joshi,1 Mahmoud M. Mostafa, Kyla C. Jamieson, Radhika Joshi, Robert Newton, and Mark A. Giembycz Departments of Physiology and Pharmacology (D.Y., O.H., T.J., K.C.J., R.J., M.A.G.) and Cell Biology and Anatomy (M.M.M., R.N.), Snyder Institute for Chronic Diseases, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada Received March 22, 2018; accepted April 11, 2018 Downloaded from ABSTRACT The contribution of gene expression changes to the adverse and activity, and positive regulation of neutrophil chemotaxis. The therapeutic effects of b2-adrenoceptor agonists in asthma was general enriched GO term extracellular space was also associ- investigated using human airway epithelial cells as a therapeu- ated with indacaterol-induced genes, and many of those, in- tically relevant target. Operational model-fitting established that cluding CRISPLD2, DMBT1, GAS1, and SOCS3, have putative jpet.aspetjournals.org the long-acting b2-adrenoceptor agonists (LABA) indacaterol, anti-inflammatory, antibacterial, and/or antiviral activity. Numer- salmeterol, formoterol, and picumeterol were full agonists on ous indacaterol-regulated genes were also induced or repressed BEAS-2B cells transfected with a cAMP-response element in BEAS-2B cells and human primary bronchial epithelial cells by reporter but differed in efficacy (indacaterol $ formoterol . -
Recombinant African Swine Fever Virus from a Field Isolate Using
Journal of Virological Methods 183 (2012) 86–89 Contents lists available at SciVerse ScienceDirect Journal of Virological Methods j ournal homepage: www.elsevier.com/locate/jviromet Short communication Novel approach for the generation of recombinant African swine fever virus from a field isolate using GFP expression and 5-bromo-2!-deoxyuridine selection a b a, Raquel Portugal , Carlos Martins , Günther M. Keil ∗ a Friedrich-Loeffler-Institut, Südufer 10, 17493 Greifswald-Insel Riems, Germany b Laboratório de Doenc¸ as Infecciosas, CIISA, Faculdade de Medicina Veterinária, Technical University of Lisbon, Lisbon, Portugal a b s t r a c t Article history: Generation of African swine fever virus (ASFV) recombinants has so far relied mainly on the manipulation Received 4 August 2011 of virus strains which had been adapted to growth in cell culture, since field isolates do not usually Received in revised form 14 March 2012 replicate efficiently in established cell lines. Using wild boar lung cells (WSL) which allow for propagation Accepted 21 March 2012 of ASFV field isolates, a novel approach for the generation of recombinant ASFV directly from field isolates Available online 4 April 2012 was developed which includes the integration into the viral thymidine kinase (TK) locus of an ASFV p72- promoter driven expression cassette for enhanced green fluorescent protein (EGFP) embedded in a 16 kbp Keywords: mini F-plasmid into the genome of the ASFV field strain NHV. This procedure enabled the monitoring of African swine fever virus recombinants recombinant virus replication by EGFP autofluorescence. Selection for the TK-negative (TK−) phenotype Field isolate of the recombinants on TK− Vero (VeroTK−) cells in the presence of 5-bromo-2!-deoxyuridine (BrdU) Green fluorescent protein + Thymidine kinase led to efficient isolation of recombinant virus due to the elimination of TK wild type virus by BrdU- BrdU selection phosporylation in infected VeroTK− cells. -
Systematic Analysis of Palatal Transcriptome to Identify Cleft Palate Genes Within Tgfβ3-Knockout Mice Alleles: RNA-Seq Analysis of Tgfβ3 Mice Ozturk Et Al
Systematic analysis of palatal transcriptome to identify cleft palate genes within TGFβ3-knockout mice alleles: RNA-Seq analysis of TGFβ3 Mice Ozturk et al. Ozturk et al. BMC Genomics 2013, 14:113 http://www.biomedcentral.com/1471-2164/14/113 Ozturk et al. BMC Genomics 2013, 14:113 http://www.biomedcentral.com/1471-2164/14/113 RESEARCH ARTICLE Open Access Systematic analysis of palatal transcriptome to identify cleft palate genes within TGFβ3-knockout mice alleles: RNA-Seq analysis of TGFβ3 Mice Ferhat Ozturk1,4, You Li2, Xiujuan Zhu1, Chittibabu Guda2,3 and Ali Nawshad1* Abstract Background: In humans, cleft palate (CP) accounts for one of the largest number of birth defects with a complex genetic and environmental etiology. TGFβ3 has been established as an important regulator of palatal fusion in mice and it has been shown that TGFβ3-null mice exhibit CP without any other major deformities. However, the genes that regulate cellular decisions and molecular mechanisms maintained by the TGFβ3 pathway throughout palatogenesis are predominantly unexplored. Our objective in this study was to analyze global transcriptome changes within the palate during different gestational ages within TGFβ3 knockout mice to identify TGFβ3-associated genes previously unknown to be associated with the development of cleft palate. We used deep sequencing technology, RNA-Seq, to analyze the transcriptome of TGFβ3 knockout mice at crucial stages of palatogenesis, including palatal growth (E14.5), adhesion (E15.5), and fusion (E16.5). Results: The overall transcriptome analysis of TGFβ3 wildtype mice (C57BL/6) reveals that almost 6000 genes were upregulated during the transition from E14.5 to E15.5 and more than 2000 were downregulated from E15.5 to E16.5. -
An All-To-All Approach to the Identification of Sequence-Specific Readers for Epigenetic DNA Modifications on Cytosine
bioRxiv preprint doi: https://doi.org/10.1101/638700; this version posted May 16, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. An All-to-All Approach to the Identification of Sequence-Specific Readers for Epigenetic DNA Modifications on Cytosine Guang Song1,6, Guohua Wang2,6, Ximei Luo2,3,6, Ying Cheng4, Qifeng Song1, Jun Wan3, Cedric Moore1, Hongjun Song5, Peng Jin4, Jiang Qian3,7,*, Heng Zhu1,7,8,* 1Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA 2School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China 3Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA 4Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA 5Department of Neuroscience and Mahoney Institute for Neurosciences, University of Pennsylvania, Philadelphia, PA 19104, USA 6These authors contributed equally 7Senior author 8Lead Contact *Correspondence: [email protected] (H.Z.), [email protected] (J.Q.). 1 bioRxiv preprint doi: https://doi.org/10.1101/638700; this version posted May 16, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. SUMMARY Epigenetic modifications of DNA in mammals play important roles in many biological processes. Identification of readers of these epigenetic marks is a critical step towards understanding the underlying molecular mechanisms. Here, we report the invention and application of an all-to-all approach, dubbed Digital Affinity Profiling via Proximity Ligation (DAPPL), to simultaneously profile human TF-DNA interactions using mixtures of random DNA libraries carrying four different epigenetic modifications (i.e., 5-methylcytosine, 5- hydroxymethylcytosine, 5-formylcytosine, and 5-carboxylcytosine).