UTR Shortening Has a Limited Effect on Protein Abundance in Proliferating T Cells
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Whole-Genome Microarray Detects Deletions and Loss of Heterozygosity of Chromosome 3 Occurring Exclusively in Metastasizing Uveal Melanoma
Anatomy and Pathology Whole-Genome Microarray Detects Deletions and Loss of Heterozygosity of Chromosome 3 Occurring Exclusively in Metastasizing Uveal Melanoma Sarah L. Lake,1 Sarah E. Coupland,1 Azzam F. G. Taktak,2 and Bertil E. Damato3 PURPOSE. To detect deletions and loss of heterozygosity of disease is fatal in 92% of patients within 2 years of diagnosis. chromosome 3 in a rare subset of fatal, disomy 3 uveal mela- Clinical and histopathologic risk factors for UM metastasis noma (UM), undetectable by fluorescence in situ hybridization include large basal tumor diameter (LBD), ciliary body involve- (FISH). ment, epithelioid cytomorphology, extracellular matrix peri- ϩ ETHODS odic acid-Schiff-positive (PAS ) loops, and high mitotic M . Multiplex ligation-dependent probe amplification 3,4 5 (MLPA) with the P027 UM assay was performed on formalin- count. Prescher et al. showed that a nonrandom genetic fixed, paraffin-embedded (FFPE) whole tumor sections from 19 change, monosomy 3, correlates strongly with metastatic death, and the correlation has since been confirmed by several disomy 3 metastasizing UMs. Whole-genome microarray analy- 3,6–10 ses using a single-nucleotide polymorphism microarray (aSNP) groups. Consequently, fluorescence in situ hybridization were performed on frozen tissue samples from four fatal dis- (FISH) detection of chromosome 3 using a centromeric probe omy 3 metastasizing UMs and three disomy 3 tumors with Ͼ5 became routine practice for UM prognostication; however, 5% years’ metastasis-free survival. to 20% of disomy 3 UM patients unexpectedly develop metas- tases.11 Attempts have therefore been made to identify the RESULTS. Two metastasizing UMs that had been classified as minimal region(s) of deletion on chromosome 3.12–15 Despite disomy 3 by FISH analysis of a small tumor sample were found these studies, little progress has been made in defining the key on MLPA analysis to show monosomy 3. -
Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-Like Mouse Models: Tracking the Role of the Hairless Gene
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Doctoral Dissertations Graduate School 5-2006 Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-like Mouse Models: Tracking the Role of the Hairless Gene Yutao Liu University of Tennessee - Knoxville Follow this and additional works at: https://trace.tennessee.edu/utk_graddiss Part of the Life Sciences Commons Recommended Citation Liu, Yutao, "Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino- like Mouse Models: Tracking the Role of the Hairless Gene. " PhD diss., University of Tennessee, 2006. https://trace.tennessee.edu/utk_graddiss/1824 This Dissertation is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. To the Graduate Council: I am submitting herewith a dissertation written by Yutao Liu entitled "Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-like Mouse Models: Tracking the Role of the Hairless Gene." I have examined the final electronic copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Life Sciences. Brynn H. Voy, Major Professor We have read this dissertation and recommend its acceptance: Naima Moustaid-Moussa, Yisong Wang, Rogert Hettich Accepted for the Council: Carolyn R. -
Methods Mouse Strains and Housing Male Wild-Type Mice
Methods Mouse strains and housing Male wild-type mice (C57BL/6J background) and B6.Cg-Tg (APPSwFlLon, PSEN1*M146L*L286V) 6799Vas/Mmjax (5xFAD, JAX 008730) were purchased from the Jackson Laboratory. μMT-/- mice which are deficient in B cells were purchased from Shanghai Model Organisms Center, Inc. Both B6.Cg-Tg and μMT-/- mice were bred on a C57BL/6J background. 5xFAD mice and μMT-/- mice were crossed to generate μMT-/-/5xFAD mice. The mice were used at different ages that are indicated throughout the manuscript. Mice of all strains were specific pathogen free environment with controlled temperature and humidity, on 12 h light: dark cycles (lights on at 7:00), and fed with regular rodent’s chow and sterilized tap water ad libitum. All experiments were approved by the Institutional Animal Care and Use Committee of the Nanjing Medical University. Human samples Frontal cortex tissues were obtained from 4 cases within 4-6 h of death, via informed donation for the Medical Education and Research of Nanjing Medical University, with corresponding written consents prepared by the donors and their families. Cases that were died from brain associated diseases were excluded from this study. The utilization of human tissues was approved by the Ethics Committee of Nanjing Medical University. All obtained samples were fixed in a 4% formalin solution and kept in paraffin blocks until further sectioning. Animal surgery DcLN ligation: The procedure of surgical ligation of the lymphatics afferent to the dcLNs was according to published literature (3, 30). In brief, mice were anaesthetized by i.p. injection with ketamine and xylazine in saline, and fixed on a stereotaxic apparatus in a supine position. -
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. -
Análise Integrativa De Perfis Transcricionais De Pacientes Com
UNIVERSIDADE DE SÃO PAULO FACULDADE DE MEDICINA DE RIBEIRÃO PRETO PROGRAMA DE PÓS-GRADUAÇÃO EM GENÉTICA ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas Ribeirão Preto – 2012 ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas Tese apresentada à Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo para obtenção do título de Doutor em Ciências. Área de Concentração: Genética Orientador: Prof. Dr. Eduardo Antonio Donadi Co-orientador: Prof. Dr. Geraldo A. S. Passos Ribeirão Preto – 2012 AUTORIZO A REPRODUÇÃO E DIVULGAÇÃO TOTAL OU PARCIAL DESTE TRABALHO, POR QUALQUER MEIO CONVENCIONAL OU ELETRÔNICO, PARA FINS DE ESTUDO E PESQUISA, DESDE QUE CITADA A FONTE. FICHA CATALOGRÁFICA Evangelista, Adriane Feijó Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas. Ribeirão Preto, 2012 192p. Tese de Doutorado apresentada à Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo. Área de Concentração: Genética. Orientador: Donadi, Eduardo Antonio Co-orientador: Passos, Geraldo A. 1. Expressão gênica – microarrays 2. Análise bioinformática por module maps 3. Diabetes mellitus tipo 1 4. Diabetes mellitus tipo 2 5. Diabetes mellitus gestacional FOLHA DE APROVAÇÃO ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas. -
Supplemental Data
Supplementary Materials 1. Supplementary Methods 2. Supplementary Figures • Figure S1. RNA-seq measurement of kidney gene expression for known markers of acute kidney injury (Kim-1, Fgβ) and kidney fibrosis (Col1a1, Fn1). • Figure S2. Histological, biochemical and molecular characteristics of mouse models of kidney fibrosis and acute kidney injury. • Figure S3. RNA-seq vs. qRT-PCR correlation of gene expression measurement for the 11 selected candidates. • Figure S4. Histological characteristics of a normal vs. fibrotic human kidney. 3. Supplementary Tables • Table S1. List of genes identified by RNA-seq as significantly different from normal at least at one time-point in the FA nephropathy progression. • Table S2. List of peptides used for selected reaction monitoring (SRM) assays. • Table S3. List of primers used for mouse qRT-PCR. • Table S4. List of primers used for human qRT-PCR. Page 1 of 31 1. Supplementary Methods Animal studies Biospecimen collection: At the moment of sacrifice, blood was collected from the inferior vena cava under isoflurane anesthesia, and, following opening of the thoracic cavity to ensure that the animal is deceased, the kidneys were retrieved and sectioned in samples dedicated for histology and immunfluorescence (fixed in 10% neutral buffered formalin), protein and RNA analysis (flash-frozen in liquid nitrogen). Similarly, liver tissue sections from the left lateral lobe of the ANIT fed mice were fixed in neutral buffered formalin for histopathological processing, while other liver sections were flash-frozen in liquid nitrogen. Blood was collected from mice in heparinized tubes and plasma was separated following centrifugation at 7500 g for 5 minutes. Blood urea nitrogen (BUN) was measured using an InfinityUrea kit (Thermo Fisher Scientific, Wilmington, DE) and serum creatinine (SCr) was measured using a Creatinine Analyzer II (Beckman Coulter). -
A Crosstalk Between the RNA Binding Protein Smaug and the Hedgehog Pathway Links Cell Signaling to Mrna Regulation in Drosophila Lucía Bruzzone
A crosstalk between the RNA binding protein Smaug and the Hedgehog pathway links cell signaling to mRNA regulation in drosophila Lucía Bruzzone To cite this version: Lucía Bruzzone. A crosstalk between the RNA binding protein Smaug and the Hedgehog pathway links cell signaling to mRNA regulation in drosophila. Cellular Biology. Université Sorbonne Paris Cité, 2018. English. NNT : 2018USPCC234. tel-02899776 HAL Id: tel-02899776 https://tel.archives-ouvertes.fr/tel-02899776 Submitted on 15 Jul 2020 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. Thèse de doctorat de l’Université Sorbonne Paris Cité Préparée à l’Université Paris Diderot Ecole doctorale HOB n° 561 Institut Jacques Monod / Equipe Développement, Signalisation et Trafic A crosstalk between the RNA binding protein Smaug and the Hedgehog pathway links cell signaling to mRNA regulation in Drosophila Lucía Bruzzone Thèse de doctorat de Biologie Dirigée par Anne Plessis Présentée et soutenue publiquement à Paris le 19 mars 2018 Président du jury: Alain Zider / Professeur Université Paris Diderot -
AGBT-2018-Andy-Pang.Pdf
Efficient Structural Variation Detection and Annotation Using Bionano Genome Mapping A. W. C. Pang1, J. Lee1, A. Hastie1, E. Lam1, E. Chan2, V. Hayes2, H. Cao1, M. Borodkin1 1) Bionano Genomics, San Diego, California, USA; 2) Garvan Institute of Medical Research, Darlinghurst, Australia Abstract Background Structural variation (SV) detection is fundamental to understanding cancer workflow can compare against a control sample, and examines whether the Generating high-quality finished genomes replete with accurate genomes. While karyotyping and conventional molecular detection approaches cancer mutations are present in low fraction among the control’s molecules. identification of structural variation and high completion (minimal are robust, they can be manually intensive, biased towards targeted loci, and Using this pipeline, whose runtime is only a few hours, we can efficiently focus gaps) remains challenging using short read sequencing cannot determine the copy number of long repeats. on several dozen significant candidates for further analysis. technologies alone. Bionano mapping provides direct visualization of long DNA molecules in their native state, bypassing the statistical inference needed to align Bionano Genomics’ Saphyr System offers a sensitive method for detecting large We ran multiple solid and hematologic cancer samples. First, we generated a paired-end reads with an uncertain insert size distribution. These long labeled SVs. DNA molecules larger than 100 kbp are extracted, labelled at specific highly contiguous genome map assembly on a solid tumor sample. The ultra molecules are de novo assembled into physical maps spanning the whole genome. motifs, and linearized through NanoChannels arrays for subsequent long maps – with lengths encompassing entire chromosomal arms – were able The resulting order and orientation of sequence elements in the map can be used visualization. -
9Faaa2444c3ffa7b739bc49e981
Original Article Comparison of Protamine 1 to Protamine 2 mRNA Ratio and YBX2 gene mRNA Content in Testicular Tissue of Fertile and Azoospermic Men Sahar Moghbelinejad, Ph.D.1, 2, Reza Najafipour, Ph.D.1, 2*, Amir Samimi Hashjin, M.Sc.1 1. Cellular and Molecular Research Centre, Qazvin University of Medical Sciences, Qazvin, Iran 2. Department of Medical Genetics, Qazvin University of Medical Sciences, Qazvin, Iran Abstract Background: Although aberrant protamine (PRM) ratios have been observed in infertile men, the mechanisms that implicit the uncoupling of PRM1 and PRM2 expression remain unclear. To uncover these mechanisms, in this observational study we have compared the PRM1/PRM2 mRNA ratio and mRNA contents of two regulatory factors of these genes. Materials and Methods: In this experimental study, sampling was performed by a mul- ti-step method from 50 non-obstructive azoospermic and 12 normal men. After RNA extraction and cDNA synthesis, real-time quantitative polymerase chain reaction (RT- QPCR) was used to analyze the PRM1, PRM2, Y box binding protein 2 (YBX2) and JmjC-containing histone demethylase 2a (JHDM2A) genes in testicular biopsies of the studied samples. Results: The PRM1/PRM2 mRNA ratio differed significantly among studied groups, namely 0.21 ± 0.13 in azoospermic samples and -0.8 ± 0.22 in fertile samples. The amount of PRM2 mRNA, significantly reduced in azoospermic patients. Azoospermic men exhib- ited significant under expression of YBX2 gene compared to controls (P<0.001). mRNA content of this gene showed a positive correlation with PRM mRNA ratio (R=0.6, P=0.007). JHDM2A gene expression ratio did not show any significant difference between the studied groups (P=0.3). -
Supplemental Figure and Table Legends
Supplemental figure and table legends Supplementary Figure 1: KIAA1841 is well conserved among vertebrates. NCBI HomoloGene pairwise alignment scores of human KIAA1841 sequence compared to other vertebrate orthologs. Supplementary Figure 2: µ-germline transcripts (GLT) and AID mRNA expression are not affected by overexpression of KIAA1841. Splenic B cells were isolated from wild-type mice, and transduced with retroviral vector control (pMIG) or a vector expressing KIAA1841. Levels of µ-GLT and AID mRNA were determined at 72h post-infection by RT-qPCR, and normalized to -actin mRNA and the pMIG control. The mean of three independent experiments +/- SD is shown. NS, p = not significant, p 0.05, two-tailed paired student’s t-test. Supplementary Figure 3: Overexpression of untagged and Xpress-tagged KIAA1841 does not affect cell proliferation. Splenic B cells were isolated from wild-type mice, stimulated with LPS+IL4, and transduced with retroviral vector control (pMIG) or a vector expressing KIAA1841 or Xpress (Xp)-tagged KIAA1841. Cells are labeled with seminaphthorhodafluor (SNARF) cell tracking dye and SNARF intensity was measured at 0h, 24h, and 48h after retroviral infection. Histograms of transduced cells (GFP+) for pMIG control, KIAA1841 and Xp-KIAA1841 were superimposed at each time point. Three independent retroviral infection experiments are shown. Supplementary Figure 4: Sequence alignment of the putative SANT domain of KIAA1841 with the SANT domain of SWI3. Alignment was performed using ClustalOmega; *, conserved residue, :, strongly similar residues, ., weakly similar residues. Numbers indicate amino acid residues in each sequence. Helix 3, which has been reported to be important for the chromatin remodeling function of SWI3 (Boyer et. -
Module Analysis Using Single-Patient Differential Expression Signatures
bioRxiv preprint doi: https://doi.org/10.1101/2020.01.05.894931; this version posted January 6, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Module analysis using single-patient differential expression signatures improve the power of association study for Alzheimer's disease Jialan Huang1, Dong Lu1, and Guofeng Meng1,∗ 1Institute of interdisciplinary integrative Medicine Research, shanghai University of Traditional Chinese Medicine, shanghai, China Abstract The causal mechanism of Alzheimer's disease is extremely complex. It usually requires a huge number of samples to achieve a good statistical power in association studies. In this work, we illustrated a different strategy to identify AD risk genes by clustering AD patients into modules based on their single-patient differential expression signatures. Evaluation suggested that our method could enrich AD patients with common clinical manifestations. Applying it to a cohort of only 310 AD patients, we identified 175 AD risk loci at a strict threshold of empirical p < 0:05 while only two loci were identified using all the AD patients. As an evaluation, we collected 23 AD risk genes reported in a recent large-scale meta-analysis and found that 18 of them were re-discovered by association studies using clustered AD patients, while only three of them were re-discovered using all AD patients. Functional annotation suggested that AD associated genetic variants mainly disturbed neuronal/synaptic function. -
Nonspecific Bridging-Induced Attraction Drives Clustering of DNA
Nonspecific bridging-induced attraction drives PNAS PLUS clustering of DNA-binding proteins and genome organization Chris A. Brackleya, Stephen Taylorb, Argyris Papantonisc,d, Peter R. Cookc,1, and Davide Marenduzzoa,1 aScottish Universities Physics Alliance (SUPA), School of Physics, University of Edinburgh, Edinburgh EH9 3JZ, United Kingdom; bComputational Research Biology Group and cSir William Dunn School of Pathology, University of Oxford, Oxford OX1 3RE, United Kingdom; and dCenter for Molecular Medicine, University of Cologne, 50931 Cologne, Germany Edited by Charles S. Peskin, New York University, Manhattan, NY, and approved August 5, 2013 (received for review February 19, 2013) Molecular dynamics simulations are used to model proteins that Results diffuse to DNA, bind, and dissociate; in the absence of any explicit Clustering of Bridging Proteins on Binding to Naked DNA. We first interaction between proteins, or between templates, binding spon- consider a solution of spherical DNA-binding proteins (con- taneously induces local DNA compaction and protein aggregation. centration, 0.02% in volume or 42.5 μM and therefore within the Small bivalent proteins form into rows [as on binding of the bacterial range found in vivo) that bind nonspecifically to naked DNA histone-like nucleoid-structuring protein (H-NS)], large proteins (36.7 kbp), modeled as a semiflexible string of spherical mono- into quasi-spherical aggregates (as on nanoparticle binding), and mers (persistence length, 50 nm) (18) confined within a cube cylinders with eight binding sites (representing octameric nucleo- (250 × 250 × 250 nm). Both proteins and monomers have somal cores) into irregularly folded clusters (like those seen in diameters of 2.5 nm, each DNA monomer represents ∼7.35 bp, nucleosomal strings).