In Vivo Nuclear Capture and Molecular Profiling Identifies Gmeb1 As A
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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. -
Supplemental Materials ZNF281 Enhances Cardiac Reprogramming
Supplemental Materials ZNF281 enhances cardiac reprogramming by modulating cardiac and inflammatory gene expression Huanyu Zhou, Maria Gabriela Morales, Hisayuki Hashimoto, Matthew E. Dickson, Kunhua Song, Wenduo Ye, Min S. Kim, Hanspeter Niederstrasser, Zhaoning Wang, Beibei Chen, Bruce A. Posner, Rhonda Bassel-Duby and Eric N. Olson Supplemental Table 1; related to Figure 1. Supplemental Table 2; related to Figure 1. Supplemental Table 3; related to the “quantitative mRNA measurement” in Materials and Methods section. Supplemental Table 4; related to the “ChIP-seq, gene ontology and pathway analysis” and “RNA-seq” and gene ontology analysis” in Materials and Methods section. Supplemental Figure S1; related to Figure 1. Supplemental Figure S2; related to Figure 2. Supplemental Figure S3; related to Figure 3. Supplemental Figure S4; related to Figure 4. Supplemental Figure S5; related to Figure 6. Supplemental Table S1. Genes included in human retroviral ORF cDNA library. Gene Gene Gene Gene Gene Gene Gene Gene Symbol Symbol Symbol Symbol Symbol Symbol Symbol Symbol AATF BMP8A CEBPE CTNNB1 ESR2 GDF3 HOXA5 IL17D ADIPOQ BRPF1 CEBPG CUX1 ESRRA GDF6 HOXA6 IL17F ADNP BRPF3 CERS1 CX3CL1 ETS1 GIN1 HOXA7 IL18 AEBP1 BUD31 CERS2 CXCL10 ETS2 GLIS3 HOXB1 IL19 AFF4 C17ORF77 CERS4 CXCL11 ETV3 GMEB1 HOXB13 IL1A AHR C1QTNF4 CFL2 CXCL12 ETV7 GPBP1 HOXB5 IL1B AIMP1 C21ORF66 CHIA CXCL13 FAM3B GPER HOXB6 IL1F3 ALS2CR8 CBFA2T2 CIR1 CXCL14 FAM3D GPI HOXB7 IL1F5 ALX1 CBFA2T3 CITED1 CXCL16 FASLG GREM1 HOXB9 IL1F6 ARGFX CBFB CITED2 CXCL3 FBLN1 GREM2 HOXC4 IL1F7 -
An Integrative, Genomic, Transcriptomic and Network-Assisted
Yan et al. BMC Medical Genomics 2020, 13(Suppl 5):39 https://doi.org/10.1186/s12920-020-0675-4 RESEARCH Open Access An integrative, genomic, transcriptomic and network-assisted study to identify genes associated with human cleft lip with or without cleft palate Fangfang Yan1†, Yulin Dai1†, Junichi Iwata2,3, Zhongming Zhao1,4,5* and Peilin Jia1* From The International Conference on Intelligent Biology and Medicine (ICIBM) 2019 Columbus, OH, USA. 9-11 June 2019 Abstract Background: Cleft lip with or without cleft palate (CL/P) is one of the most common congenital human birth defects. A combination of genetic and epidemiology studies has contributed to a better knowledge of CL/P-associated candidate genes and environmental risk factors. However, the etiology of CL/P remains not fully understood. In this study, to identify new CL/P-associated genes, we conducted an integrative analysis using our in-house network tools, dmGWAS [dense module search for Genome-Wide Association Studies (GWAS)] and EW_dmGWAS (Edge-Weighted dmGWAS), in a combination with GWAS data, the human protein-protein interaction (PPI) network, and differential gene expression profiles. Results: A total of 87 genes were consistently detected in both European and Asian ancestries in dmGWAS. There were 31.0% (27/87) showed nominal significance with CL/P (gene-based p < 0.05), with three genes showing strong association signals, including KIAA1598, GPR183,andZMYND11 (p <1×10− 3). In EW_dmGWAS, we identified 253 and 245 module genes associated with CL/P for European ancestry and the Asian ancestry, respectively. Functional enrichment analysis demonstrated that these genes were involved in cell adhesion, protein localization to the plasma membrane, the regulation of the apoptotic signaling pathway, and other pathological conditions. -
Bone Morphogenetic Protein-4 Affects Both Trophoblast and Non-Trophoblast Lineage-Associated Gene Expression in Human Embryonic Stem Cells
Vol.2, No.4, 163-175 (2012) Stem Cell Discovery http://dx.doi.org/10.4236/scd.2012.24021 Bone morphogenetic protein-4 affects both trophoblast and non-trophoblast lineage-associated gene expression in human embryonic stem cells Margaret L. Shirley1,2*, Alison Venable1*, Raj R. Rao3, Nolan L. Boyd4, Steven L. Stice1,5,6, David Puett1#, Prema Narayan7# 1Department of Biochemistry and Molecular Biology, University of Georgia, Athens, USA; #Corresponding Author: [email protected] 2Department of Psychiatry, University of California, San Francisco, USA 3Department of Chemical and Life Science Engineering, School of Engineering, Virginia Commonwealth University, Richmond, USA 4Cardiovascular Innovation Institute, University of Louisville, Louisville, USA 5Regenerative Bioscience Center, University of Georgia, Athens, USA 6Department of Animal and Dairy Sciences, University of Georgia, Athens, USA 7Department of Physiology, Southern Illinois University School of Medicine, Carbondale, USA; #Corresponding Author: [email protected] Received 5 May 2012; revised 4 June 2012; accepted 1 July 2012 ABSTRACT cells were obtained. Gene expression by EB was characterized by an up-regulation of a num- Human embryonic stem cells (hESC) can be in- ber of genes associated with trophoblast, ecto- duced to differentiate to trophoblast by bone derm, endoderm, and mesoderm, and the pro- morphogenetic proteins (BMPs) and by aggre- duction of hCG and progesterone confirmed that gation to form embryoid bodies (EB), but there trophoblast-like cells were formed. These re- are many differences and controversies regard- sults suggest that, in the presence of FGF-2, ing the nature of the differentiated cells. Our BG02 cells respond to BMP4 to yield tropho- goals herein were to determine if BG02 cells form trophoblast-like cells (a) in the presence of blast-like cells, which are also obtained upon EB BMP4-plus-basic fibroblast growth factor (FGF-2) formation. -
Supplementary Table 1. Mutated Genes That Contain Protein Domains Identified Through Mutation Enrichment Analysis
Supplementary Table 1. Mutated genes that contain protein domains identified through mutation enrichment analysis A. Breast cancers InterPro ID Mutated genes (number of mutations) IPR000219 ARHGEF4(2), ECT2(1), FARP1(1), FLJ20184(1), MCF2L2(1), NET1(1), OBSCN(5), RASGRF2(2), TRAD(1), VAV3(1) IPR000225 APC2(2), JUP(1), KPNA5(2), SPAG6(1) IPR000357 ARFGEF2(2), CMYA4(1), DRIM(2), JUP(1), KPNA5(2), PIK3R4(1), SPAG6(1) IPR000533 AKAP9(2), C10orf39(1), C20orf23(1), CUTL1(1), HOOK1(1), HOOK3(1), KTN1(2), LRRFIP1(3), MYH1(3), MYH9(2), NEF3(1), NF2(1), RSN(1), TAX1BP1(1), TPM4(1) IPR000694 ADAM12(3), ADAMTS19(1), APC2(2), APXL(1), ARID1B(1), BAT2(2), BAT3(1), BCAR1(1), BCL11A(2), BCORL1(1), C14orf155(3), C1orf2(1), C1QB(1), C6orf31(1), C7orf11(1), CD2(1), CENTD3(3), CHD5(3), CIC(3), CMYA1(2), COL11A1(3), COL19A1(2), COL7A1(3), DAZAP1(1), DBN1(3), DVL3(1), EIF5(1), FAM44A(1), FAM47B(1), FHOD1(1), FLJ20584(1), G3BP2(2), GAB1(2), GGA3(1), GLI1(3), GPNMB(2), GRIN2D(3), HCN3(1), HOXA3(2), HOXA4(1), IRS4(1), KCNA5(1), KCNC2(1), LIP8(1), LOC374955(1), MAGEE1(2), MICAL1(2), MICAL‐L1(1), MLLT2(1), MMP15(1), N4BP2(1), NCOA6(2), NHS(1), NUP214(3), ODZ1(3), PER1(2), PER2(1), PHC1(1), PLXNB1(1), PPM1E(2), RAI17(2), RAPH1(2), RBAF600(2), SCARF2(1), SEMA4G(1), SLC16A2(1), SORBS1(1), SPEN(2), SPG4(1), TBX1(1), TCF1(2), TCF7L1(1), TESK1(1), THG‐1(1), TP53(18), TRIF(1), ZBTB3(2), ZNF318(2) IPR000909 CENTB1(2), PLCB1(1), PLCG1(1) IPR000998 AEGP(3), EGFL6(2), PRSS7(1) IPR001140 ABCB10(2), ABCB6(1), ABCB8(2) IPR001164 ARFGAP3(1), CENTB1(2), CENTD3(3), CENTG1(2) IPR001589 -
Overview Gene List Target Scan Vs DIANA Group a Group B Group A
Overview Gene list Target scan vs DIANA Group A Group B Group A hsa-miR-181a hsa-miR-323 hsa-miR-326 Target scan Diana microT Overlap Target scan Diana microT Overlap Target scan SEPT3 SEPT3 SEPT3 SEPT7 ADARB1 HPCAL4 ABHD2 ABL2 ABHD13 ACVR2A ADCYAP1R1 AKAP13 PDPK1 ACRBP ACAN ABI1 ADAMTS1 ALAD APOBR ACVRL1 ACCN2 ABLIM1 ADAMTSL1 ANKRD52 ATXN1 ADAM19 ACER3 ACSL1 AKAP7 ARID2 C18orf23,RNF165 ADAM33 ACVR2A ACTN2 ANKRD43 ARL3 C20orf29 ADAMTS2 ADAMTS1 ACVR2A AP1S3 ARRB1 CACNG4 AHCYL2 ADAMTS18 ACVR2B ARID2 BBC3 CCNJL ALOX15B ADAMTS5 ADAM11 ATP11A BTG1 CYP2E1 ANK1 ADAMTSL1 ADAM22 ATXN1 C18orf62 GNB1L ANKS6 ADARB1 ADAMTS1 B4GALT1 C1orf21 GPR61 APBA1 AFAP1 ADAMTS6 BAG4 CADM4 GTSE1 ARCN1 AFTPH ADAMTSL1 BAI3 CALML4 HPCAL4 ARHGEF37 AK3 ADCY9 BNC2 CAPN6 KIAA0152 ARID3B AKAP7 ADRBK1 BRD1 CBFA2T2 KIF1A ARL8A ANAPC16 AFF2 BRWD1 CEBPA MACF1 ATP2B2 ANK1 AHCTF1,AHCTF1PBTBD3 CHD1 MYO1D ATP6V1G2 ANKRD12 AKAP2,PALM2 C13orf23 CIT PCNT AUP1 ANKRD33B AKAP6 C14orf43 CLASP2 PDPK1 BCL2L2 ANKRD43 AKAP7 CAPRIN1 CLCN5 PLEKHG4B BHLHE40 ANKRD44 AKAP9 CARM1 CLIP3 PPARA BTBD3 ANKRD52 AKT3 CBX4 COL5A2 PRB1,PRB2,PRB4 BTRC AP1S3 ALG9 CCDC117 CTNS PTPRT C10orf26 APBA1 ANKRD13C CCNJ DCTN4 PYCR1 C14orf1 APLP2 ANKRD20B CDH13 DCUN1D4 RAPGEF1 C16orf45 APOO ANKRD43 CDON DDB1 SRCAP C16orf54 ARID2 ANKRD50 CDYL DDX39B TMEM63C C1orf106 ARL3 AP1G1 CEP350 DIP2C C1orf27 ARRDC3 AP1S3 CHD7 DNAJB3 C22orf29 ATF7 API5 CHIC1 EEPD1 C9orf3 ATG2B ARFGEF2 CLIP1 EIF2C1 CACNA1E ATG7 ARHGAP12 CNOT6L ELFN2 CAPN12 ATP11A ARHGAP26 CNR1 ELK1 CASKIN1 ATP2B3 ARHGAP29 CNTN4 FAM172A CBFA2T3 ATP8B2 ARHGEF3 CNTNAP2 -
Identifying the Risky SNP of Osteoporosis with ID3-PEP Decision Tree Algorithm
Hindawi Complexity Volume 2017, Article ID 9194801, 8 pages https://doi.org/10.1155/2017/9194801 Research Article Identifying the Risky SNP of Osteoporosis with ID3-PEP Decision Tree Algorithm Jincai Yang,1 Huichao Gu,1 Xingpeng Jiang,1 Qingyang Huang,2 Xiaohua Hu,1 and Xianjun Shen1 1 School of Computer Science, Central China Normal University, Wuhan 430079, China 2School of Life Science, Central China Normal University, Wuhan 430079, China Correspondence should be addressed to Jincai Yang; [email protected] Received 31 March 2017; Revised 26 May 2017; Accepted 8 June 2017; Published 7 August 2017 Academic Editor: Fang-Xiang Wu Copyright © 2017 Jincai Yang 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. In the past 20 years, much progress has been made on the genetic analysis of osteoporosis. A number of genes and SNPs associated with osteoporosis have been found through GWAS method. In this paper, we intend to identify the suspected risky SNPs of osteoporosis with computational methods based on the known osteoporosis GWAS-associated SNPs. The process includes two steps. Firstly, we decided whether the genes associated with the suspected risky SNPs are associated with osteoporosis by using random walk algorithm on the PPI network of osteoporosis GWAS-associated genes and the genes associated with the suspected risky SNPs. In order to solve the overfitting problem in ID3 decision tree algorithm, we then classified the SNPs with positive results based on their features of position and function through a simplified classification decision tree which was constructed by ID3 decision tree algorithm with PEP (Pessimistic-Error Pruning). -
Caractérisation Moléculaire Du Rôle De FOXL2 Et De Ses Partenaires Dans L’Ovaire Sain Et Pathologique Laetitia Herman
Caractérisation moléculaire du rôle de FOXL2 et de ses partenaires dans l’ovaire sain et pathologique Laetitia Herman To cite this version: Laetitia Herman. Caractérisation moléculaire du rôle de FOXL2 et de ses partenaires dans l’ovaire sain et pathologique. Médecine humaine et pathologie. Université de Paris, 2020. Français. NNT : 2020UNIP7123. tel-03246869 HAL Id: tel-03246869 https://tel.archives-ouvertes.fr/tel-03246869 Submitted on 2 Jun 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Laëtitia HERMAN-Doctorat de Génétique-2020 Université de Paris ED 562 BioSPC UMR7592 Institut Jacques Monod Caractérisation moléculaire du rôle de FOXL2 et de ses partenaires dans l’ovaire sain et pathologique Par Laëtitia HERMAN Thèse de doctorat de Génétique Dirigée par Pr. Reiner Veitia Et par Dr. Anne-Laure Todeschini Présentée et soutenue publiquement le 22 septembre 2020 Devant un jury composé de : Virginie Rouiller-Fabre, PU, CEA, Présidente Corinne Cotinot, DR, INRAE, Rapportrice Eric Pailhoux, DR, INRAE, Rapporteur Francis Poulat, CR, IGH, Examinateur Daniel Vaiman, DR, Institut Cochin, Membre invité 1 Laëtitia HERMAN-Doctorat de Génétique-2020 2 Laëtitia HERMAN-Doctorat de Génétique-2020 Titre : Caractérisation moléculaire du rôle de FOXL2 et de ses partenaires dans l’ovaire sain et pathologique Résumé : FOXL2 est un facteur de transcription majeur des cellules de la granulosa, participant à leur différenciation, leur maintien et leurs fonctions. -
Human Social Genomics in the Multi-Ethnic Study of Atherosclerosis
Getting “Under the Skin”: Human Social Genomics in the Multi-Ethnic Study of Atherosclerosis by Kristen Monét Brown A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Epidemiological Science) in the University of Michigan 2017 Doctoral Committee: Professor Ana V. Diez-Roux, Co-Chair, Drexel University Professor Sharon R. Kardia, Co-Chair Professor Bhramar Mukherjee Assistant Professor Belinda Needham Assistant Professor Jennifer A. Smith © Kristen Monét Brown, 2017 [email protected] ORCID iD: 0000-0002-9955-0568 Dedication I dedicate this dissertation to my grandmother, Gertrude Delores Hampton. Nanny, no one wanted to see me become “Dr. Brown” more than you. I know that you are standing over the bannister of heaven smiling and beaming with pride. I love you more than my words could ever fully express. ii Acknowledgements First, I give honor to God, who is the head of my life. Truly, without Him, none of this would be possible. Countless times throughout this doctoral journey I have relied my favorite scripture, “And we know that all things work together for good, to them that love God, to them who are called according to His purpose (Romans 8:28).” Secondly, I acknowledge my parents, James and Marilyn Brown. From an early age, you two instilled in me the value of education and have been my biggest cheerleaders throughout my entire life. I thank you for your unconditional love, encouragement, sacrifices, and support. I would not be here today without you. I truly thank God that out of the all of the people in the world that He could have chosen to be my parents, that He chose the two of you. -
Molecular Regulation in Dopaminergic Neuron Development
International Journal of Molecular Sciences Review Molecular Regulation in Dopaminergic Neuron Development. Cues to Unveil Molecular Pathogenesis and Pharmacological Targets of Neurodegeneration Floriana Volpicelli 1 , Carla Perrone-Capano 1,2 , Gian Carlo Bellenchi 2,3, Luca Colucci-D’Amato 4,* and Umberto di Porzio 2 1 Department of Pharmacy, University of Naples Federico II, 80131 Naples, Italy; fl[email protected] (F.V.); [email protected] (C.P.C.) 2 Institute of Genetics and Biophysics “Adriano Buzzati Traverso”, CNR, 80131 Rome, Italy; [email protected] (G.C.B.); [email protected] (U.d.P.) 3 Department of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy 4 Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania “Luigi Vanvitelli”, 81100 Caserta, Italy * Correspondence: [email protected]; Tel.: +39-0823-274577 Received: 28 April 2020; Accepted: 1 June 2020; Published: 3 June 2020 Abstract: The relatively few dopaminergic neurons in the mammalian brain are mostly located in the midbrain and regulate many important neural functions, including motor integration, cognition, emotive behaviors and reward. Therefore, alteration of their function or degeneration leads to severe neurological and neuropsychiatric diseases. Unraveling the mechanisms of midbrain dopaminergic (mDA) phenotype induction and maturation and elucidating the role of the gene network involved in the development and maintenance of these neurons is of pivotal importance to rescue or substitute these cells in order to restore dopaminergic functions. Recently, in addition to morphogens and transcription factors, microRNAs have been identified as critical players to confer mDA identity. The elucidation of the gene network involved in mDA neuron development and function will be crucial to identify early changes of mDA neurons that occur in pre-symptomatic pathological conditions, such as Parkinson’s disease. -
Characterization of Human-Ipscs Derived Spinal Motor Neurons by Single
bioRxiv preprint doi: https://doi.org/10.1101/2019.12.28.889972; this version posted December 28, 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. Characterization of human-iPSCs derived spinal motor neurons by single- cell RNA sequencing Louise Thiry1, Regan Hamel2, Stefano Pluchino2, Thomas Durcan1,3, Stefano Stifani1* 1Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital, McGill University, 3801, rue University, Montreal (Quebec) H3A 2B4, Canada 2Department of Clinical Neurosciences, Clifford Allbutt Building - Cambridge Biosciences Campus and NIHR Biomedical Research Centre, University of Cambridge, Hills Road, CB2 0HA Cambridge, UK 3Early Drug Discovery Unit, Montreal Neurological Institute-Hospital *Corresponding author: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2019.12.28.889972; this version posted December 28, 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. Abstract Human induced pluripotent stem cells (iPSCs) offer the opportunity to generate specific cell types from healthy and diseased individuals, allowing the study of mechanisms of early human development, modelling a variety of human diseases, and facilitating the development of new therapeutics. Human iPSC-based applications are often limited by the variability among iPSC lines originating from a single donor, as well as the heterogeneity among specific cell types that can be derived from iPSCs. The ability to deeply phenotype different iPSC-derived cell types is therefore of primary importance to the successful and informative application of this technology. -
PLEIOTROPIC and ISOFORM-SPECIFIC FUNCTIONS of PITX2 in BRAIN DEVELOPMENT by Mindy Rachelle Waite a Dissertation Submitted In
PLEIOTROPIC AND ISOFORM-SPECIFIC FUNCTIONS OF PITX2 IN BRAIN DEVELOPMENT by Mindy Rachelle Waite A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Cellular and Molecular Biology) in The University of Michigan 2012 Doctoral Committee: Associate Professor Donna M. Martin, Chair Professor Gregory R. Dressler Professor Sue O’Shea Associate Professor Philip J. Gage Associate Professor Robert C. Thompson Yesterday is but a dream, tomorrow but a vision. But today well lived makes every yesterday a dream of happiness, and every tomorrow a vision of hope. Look well, therefore, to This Day. -Sanskrit Proverb © Mindy Rachelle Waite 2012 ACKNOWLEDGMENTS I would like to thank Dr. Donna Martin for her unwavering mentorship and support. Donna, I can never repay you enough for taking me in as one of your own and building my skillset from the ground up. You really put your heart and soul into teaching me how to do research, write, speak, and even work in a team setting. Thank you so much for the skills and self-confidence which will be necessary for my future successes. I will never forget our first “data dance” and promise to think of you every time I see red ink. I would also like to thank the rest of my lab. Liz, Jennifer, Joe, Wanda, Kaia, and Jillian – what would I have ever done without you guys? Graduate school can be a frustrating, lonely experience for some, but not for me. Every day I worked with my friends. Thank you for your unconditional support and delightful shenanigans.