Participation of TFIIIB Subunit Brf1 in Transcription Regulation in the Human Pathogen Leishmania Major
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Analysis of Trans Esnps Infers Regulatory Network Architecture
Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2014 © 2014 Anat Kreimer All rights reserved ABSTRACT Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer eSNPs are genetic variants associated with transcript expression levels. The characteristics of such variants highlight their importance and present a unique opportunity for studying gene regulation. eSNPs affect most genes and their cell type specificity can shed light on different processes that are activated in each cell. They can identify functional variants by connecting SNPs that are implicated in disease to a molecular mechanism. Examining eSNPs that are associated with distal genes can provide insights regarding the inference of regulatory networks but also presents challenges due to the high statistical burden of multiple testing. Such association studies allow: simultaneous investigation of many gene expression phenotypes without assuming any prior knowledge and identification of unknown regulators of gene expression while uncovering directionality. This thesis will focus on such distal eSNPs to map regulatory interactions between different loci and expose the architecture of the regulatory network defined by such interactions. We develop novel computational approaches and apply them to genetics-genomics data in human. We go beyond pairwise interactions to define network motifs, including regulatory modules and bi-fan structures, showing them to be prevalent in real data and exposing distinct attributes of such arrangements. We project eSNP associations onto a protein-protein interaction network to expose topological properties of eSNPs and their targets and highlight different modes of distal regulation. -
Transcriptional Regulation of RKIP in Prostate Cancer Progression
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Sciences Transcriptional Regulation of RKIP in Prostate Cancer Progression Submitted by: Sandra Marie Beach In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Sciences Examination Committee Major Advisor: Kam Yeung, Ph.D. Academic William Maltese, Ph.D. Advisory Committee: Sonia Najjar, Ph.D. Han-Fei Ding, M.D., Ph.D. Manohar Ratnam, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: May 16, 2007 Transcriptional Regulation of RKIP in Prostate Cancer Progression Sandra Beach University of Toledo ACKNOWLDEGMENTS I thank my major advisor, Dr. Kam Yeung, for the opportunity to pursue my degree in his laboratory. I am also indebted to my advisory committee members past and present, Drs. Sonia Najjar, Han-Fei Ding, Manohar Ratnam, James Trempe, and Douglas Pittman for generously and judiciously guiding my studies and sharing reagents and equipment. I owe extended thanks to Dr. William Maltese as a committee member and chairman of my department for supporting my degree progress. The entire Department of Biochemistry and Cancer Biology has been most kind and helpful to me. Drs. Roy Collaco and Hong-Juan Cui have shared their excellent technical and practical advice with me throughout my studies. I thank members of the Yeung laboratory, Dr. Sungdae Park, Hui Hui Tang, Miranda Yeung for their support and collegiality. The data mining studies herein would not have been possible without the helpful advice of Dr. Robert Trumbly. I am also grateful for the exceptional assistance and shared microarray data of Dr. -
Nuclear Organization and the Epigenetic Landscape of the Mus Musculus X-Chromosome Alicia Liu University of Connecticut - Storrs, [email protected]
University of Connecticut OpenCommons@UConn Doctoral Dissertations University of Connecticut Graduate School 8-9-2019 Nuclear Organization and the Epigenetic Landscape of the Mus musculus X-Chromosome Alicia Liu University of Connecticut - Storrs, [email protected] Follow this and additional works at: https://opencommons.uconn.edu/dissertations Recommended Citation Liu, Alicia, "Nuclear Organization and the Epigenetic Landscape of the Mus musculus X-Chromosome" (2019). Doctoral Dissertations. 2273. https://opencommons.uconn.edu/dissertations/2273 Nuclear Organization and the Epigenetic Landscape of the Mus musculus X-Chromosome Alicia J. Liu, Ph.D. University of Connecticut, 2019 ABSTRACT X-linked imprinted genes have been hypothesized to contribute parent-of-origin influences on social cognition. A cluster of imprinted genes Xlr3b, Xlr4b, and Xlr4c, implicated in cognitive defects, are maternally expressed and paternally silent in the murine brain. These genes defy classic mechanisms of autosomal imprinting, suggesting a novel method of imprinted gene regulation. Using Xlr3b and Xlr4c as bait, this study uses 4C-Seq on neonatal whole brain of a 39,XO mouse model, to provide the first in-depth analysis of chromatin dynamics surrounding an imprinted locus on the X-chromosome. Significant differences in long-range contacts exist be- tween XM and XP monosomic samples. In addition, XM interaction profiles contact a greater number of genes linked to cognitive impairment, abnormality of the nervous system, and abnormality of higher mental function. This is not a pattern that is unique to the imprinted Xlr3/4 locus. Additional Alicia J. Liu - University of Connecticut - 2019 4C-Seq experiments show that other genes on the X-chromosome, implicated in intellectual disability and/or ASD, also produce more maternal contacts to other X-linked genes linked to cognitive impairment. -
Gene Therapy Glossary of Terms
GENE THERAPY GLOSSARY OF TERMS A • Phase 3: A phase of research to describe clinical trials • Allele: one of two or more alternative forms of a gene that that gather more information about a drug’s safety and arise by mutation and are found at the same place on a effectiveness by studying different populations and chromosome. different dosages and by using the drug in combination • Adeno-Associated Virus: A single stranded DNA virus that has with other drugs. These studies typically involve more not been found to cause disease in humans. This type of virus participants.7 is the most frequently used in gene therapy.1 • Phase 4: A phase of research to describe clinical trials • Adenovirus: A member of a family of viruses that can cause occurring after FDA has approved a drug for marketing. infections in the respiratory tract, eye, and gastrointestinal They include post market requirement and commitment tract. studies that are required of or agreed to by the study • Adeno-Associated Virus Vector: Adeno viruses used as sponsor. These trials gather additional information about a vehicles for genes, whose core genetic material has been drug’s safety, efficacy, or optimal use.8 removed and replaced by the FVIII- or FIX-gene • Codon: a sequence of three nucleotides in DNA or RNA • Amino Acids: building block of a protein that gives instructions to add a specific amino acid to an • Antibody: a protein produced by immune cells called B-cells elongating protein in response to a foreign molecule; acts by binding to the • CRISPR: a family of DNA sequences that can be cleaved by molecule and often making it inactive or targeting it for specific enzymes, and therefore serve as a guide to cut out destruction and insert genes. -
The Capacity of Long-Term in Vitro Proliferation of Acute Myeloid
The Capacity of Long-Term in Vitro Proliferation of Acute Myeloid Leukemia Cells Supported Only by Exogenous Cytokines Is Associated with a Patient Subset with Adverse Outcome Annette K. Brenner, Elise Aasebø, Maria Hernandez-Valladares, Frode Selheim, Frode Berven, Ida-Sofie Grønningsæter, Sushma Bartaula-Brevik and Øystein Bruserud Supplementary Material S2 of S31 Table S1. Detailed information about the 68 AML patients included in the study. # of blasts Viability Proliferation Cytokine Viable cells Change in ID Gender Age Etiology FAB Cytogenetics Mutations CD34 Colonies (109/L) (%) 48 h (cpm) secretion (106) 5 weeks phenotype 1 M 42 de novo 241 M2 normal Flt3 pos 31.0 3848 low 0.24 7 yes 2 M 82 MF 12.4 M2 t(9;22) wt pos 81.6 74,686 low 1.43 969 yes 3 F 49 CML/relapse 149 M2 complex n.d. pos 26.2 3472 low 0.08 n.d. no 4 M 33 de novo 62.0 M2 normal wt pos 67.5 6206 low 0.08 6.5 no 5 M 71 relapse 91.0 M4 normal NPM1 pos 63.5 21,331 low 0.17 n.d. yes 6 M 83 de novo 109 M1 n.d. wt pos 19.1 8764 low 1.65 693 no 7 F 77 MDS 26.4 M1 normal wt pos 89.4 53,799 high 3.43 2746 no 8 M 46 de novo 26.9 M1 normal NPM1 n.d. n.d. 3472 low 1.56 n.d. no 9 M 68 MF 50.8 M4 normal D835 pos 69.4 1640 low 0.08 n.d. -
COMMENTARY Does Transcription by RNA Polymerase Play a Direct Role in the Initiation of Replication?
Journal of Cell Science 107, 1381-1387 (1994) 1381 Printed in Great Britain © The Company of Biologists Limited 1994 COMMENTARY Does transcription by RNA polymerase play a direct role in the initiation of replication? A. Bassim Hassan* and Peter R. Cook† CRC Nuclear Structure and Function Research Group, Sir William Dunn School of Pathology, University of Oxford, South Parks Road, Oxford, UK *Present address: Addenbrooke’s NHS Trust, Hills Rd, Cambridge CB2 2QQ, UK †Author for correspondence SUMMARY RNA polymerases have been implicated in the initiation of replication in bacteria. The conflicting evidence for a role in initiation in eukaryotes is reviewed. Key words: cell cycle, initiation, origin, replication, transcription PRIMERS AND PRIMASES complex becomes exclusively involved in the synthesis of Okazaki fragments on the lagging strand. A critical step in this DNA polymerases cannot initiate the synthesis of new DNA process is the unwinding of the duplex. chains, they can only elongate pre-existing primers. The opposite polarities of the two strands of the double helix coupled with the 5′r3′ polarity of the polymerase means that RNA POLYMERASES AND THE INITIATION OF replication occurs relatively continuously on one (leading) REPLICATION IN BACTERIA strand and discontinuously on the other (lagging) strand. The continuous strand probably needs to be primed once, usually The first evidence of a role for RNA polymerase came from at an origin. Nature has found many different ways of doing the demonstration that the initiation of replication in this, including the use of RNA primers made by an RNA poly- Escherichia coli was sensitive to rifampicin, an inhibitor of merase (e.g. -
Non-Coding Transcription Influences the Replication Initiation Program Through Chromatin Regulation
Downloaded from genome.cshlp.org on October 9, 2021 - Published by Cold Spring Harbor Laboratory Press Non-coding transcription influences the replication initiation program through chromatin regulation Julien Soudet1*, Jatinder Kaur Gill1 and Françoise Stutz1*. 1Dept. of Cell Biology, University of Geneva, Switzerland. *Correspondence: [email protected], [email protected] Keywords (10 words): non-coding RNA, non-coding transcription, histone modifications, nucleosomes, replication timing, replication initiation, yeast 1 Downloaded from genome.cshlp.org on October 9, 2021 - Published by Cold Spring Harbor Laboratory Press ABSTRACT In Eukaryotic organisms, replication initiation follows a temporal program. Among the parameters that regulate this program in Saccharomyces cerevisiae, chromatin structure has been at the center of attention without considering the contribution of transcription. Here, we revisit the replication initiation program in the light of widespread genomic non-coding transcription. We find that non-coding RNA transcription termination in the vicinity of ARS (Autonomously Replicating Sequences) shields replication initiation from transcriptional readthrough. Consistently, high natural nascent transcription correlates with low ARS efficiency and late replication timing. High readthrough transcription is also linked to increased nucleosome occupancy and high levels of H3K36me3. Moreover, forcing ARS readthrough transcription promotes these chromatin features. Finally, replication initiation defects induced by increased transcriptional readthrough are partially rescued in the absence of H3K36 methylation. Altogether, these observations indicate that natural non-coding transcription into ARS influences replication initiation through chromatin regulation. 2 Downloaded from genome.cshlp.org on October 9, 2021 - Published by Cold Spring Harbor Laboratory Press INTRODUCTION DNA replication is a fundamental process occurring in all living organisms and ensuring accurate duplication of the genome. -
Ch 7 -Brock Information Flow in Biological Systems
Systems Microbiology Monday Oct 2 - Ch 7 -Brock Information flow in biological systems •• DNADNA replicationreplication •• TranscriptionTranscription •• TranslationTranslation Central Dogma DNA Replication Transcription Images removed due to copyright restrictions. RNA Reverse Transcription Translation Protein Flow of information replication DNA → DNA transcription ↓ RNA translation ↓ protein 5' end ring numbering system for -P-O-C deoxyribose 5’ -C O O 4’ 1’ P O- O 3’ 2’ C ssDNA 3’ end HO In a nucleotide, e.g., adenosine monophosphate (AMP), the base is bonded to a ribose sugar, which has a phosphate in ester linkage to the 5' hydroxyl. NH NH NH2 2 2 adenine N N N N N N N N N N N N H −2 HO O3P O CH CH 5' 2 O 2 O 4' H H 1' H H ribose H 3' 2' H H H OH OH OH OH adenine adenosine adenosine monophosphate (AMP) Nucleic acids have a NH2 backbone of adenine N N alternating Pi & ribose moieties. N NH − N 2 Phosphodiester 5' end O cytosine − 5' O P O CH N linkages form as the 2 O 4' 1' O H H ribose 5' phosphate of one N O H 3' 2' H nucleotide forms an O OH − 5' ester link with the 3' O P O CH 2 O OH of the adjacent O H H ribose nucleotide. H 3' H O OH − O P O (etc) nucleic acid 3' end O H N H O N Guanine Cytosine N H N N N N O H N Backbone Backbone Hydrogen H bond H O H N CH3 N Thymine N H N N Adenine N N Hydrogen O bond Backbone Backbone Figure by MIT OCW. -
Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement. -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
Trna GENES AFFECT MULTIPLE ASPECTS of LOCAL CHROMOSOME BEHAVIOR
tRNA GENES AFFECT MULTIPLE ASPECTS OF LOCAL CHROMOSOME BEHAVIOR by Matthew J Pratt-Hyatt 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 2008 Doctoral Committee: Professor David R. Engelke, Chair Professor Robert S. Fuller Associate Professor Mats E. Ljungman Associate Professor Thomas E. Wilson Assistant Professor Daniel A. Bochar © Matthew J. Pratt-Hyatt All rights reserved 2008 . To my loving family Who’ve helped me so much ii Acknowledgements I would first like to thank my mentor, David Engelke. His help has been imperative to the development of my scientific reasoning, writing, and public speaking. He has been incredibly supportive at each phase of my graduate career here at the University of Michigan. Second, I would like to thank the past and present members of the Engelke lab. I would especially like to thank Paul Good, May Tsoi, Glenn Wozniak, Kevin Kapadia, and Becky Haeusler for all of their help. For this dissertation I would like to thank the following people for their assistance. For Chapter II, I would like to thank Kevin Kapadia and Paul Good for technical assistance. I would also like to thank David Engelke and Tom Wilson for help with critical thinking and writing. For Chapter III, I would like to thank David Engelke and Rebecca Haeusler for their major writing contribution. I would also like to acknowledge that Rebecca Haeusler did the majority of the work that led to figures 1-3 in that chapter. For Chapter IV, I would like to thank Anita Hopper, David Engelke and Rebecca Haeusler for their writing contributions. -
DNA : TACGCGTATACCGACATT Transcription Will Make Mrna From
Transcription and Translation Practice: Name _____________________________________ Background: • DNA controls our traits • DNA is found in the nucleus of our cells • Our traits are controlled by proteins • DNA is the instructions to make proteins • Proteins are made in ribosomes (outside the nucleus) • Proteins are made of amino acids Transcription makes RNA from DNA • RNA is complementary to DNA • RNA can leave the nucleus (DNA cannot) Translation makes proteins using RNA • Takes place at the ribosome • mRNA is “read” to put together a protein from amino acids Example: Beyonce has brown eyes. Her eyes look brown because her DNA codes for a brown pigment in the cells of her eyes. This is the gene that codes for brown eyes. DNA : T A C G C G T A T A C C G A C A T T Transcription will make mRNA from DNA mRNA: A U G C G C _________________________ Transcription will join amino acids to make the protein Rules for Transcription: Methionine - Arginine - ____________________________________ Base of DNA → Base in mRNA A → U Rules of Translation: C → G Three letters of mRNA = a codon G → C A codon “codes” for an amino acid We use the “Genetic Code” to determine the amino acids T → A RNA contains Uracil instead of Thymine The complete chain of amino acids will complete the protein that will give Beyonce her brown eyes. If you have brown eyes you have the same protein. If you have blue or green eyes your DNA sequence is a little different which will make the amino acid sequence (protein) a little different.