Literature DB >> 24457332

Applying thiouracil tagging to mouse transcriptome analysis.

Leslie Gay1, Kate V Karfilis2, Michael R Miller3, Chris Q Doe4, Kryn Stankunas5.   

Abstract

Transcriptional profiling is a powerful approach for studying mouse development, physiology and disease models. Here we describe a protocol for mouse thiouracil tagging (TU tagging), a transcriptome analysis technology that includes in vivo covalent labeling, purification and analysis of cell type-specific RNA. TU tagging enables the isolation of RNA from a given cell population of a complex tissue, avoiding transcriptional changes induced by cell isolation trauma, as well as the identification of actively transcribed RNAs and not preexisting transcripts. Therefore, in contrast to other cell-specific transcriptional profiling methods based on the purification of tagged ribosomes or nuclei, TU tagging provides a direct examination of transcriptional regulation. We describe how to (i) deliver 4-thiouracil to transgenic mice to thio-label cell lineage-specific transcripts, (ii) purify TU-tagged RNA and prepare libraries for Illumina sequencing and (iii) follow a straightforward bioinformatics workflow to identify cell type-enriched or differentially expressed genes. Tissue containing TU-tagged RNA can be obtained in 1 d, RNA-seq libraries can be generated within 2 d and, after sequencing, an initial bioinformatics analysis can be completed in 1 additional day.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24457332      PMCID: PMC4112099          DOI: 10.1038/nprot.2014.023

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  17 in total

1.  Microarray analysis of newly synthesized RNA in cells and animals.

Authors:  M Kenzelmann; S Maertens; M Hergenhahn; S Kueffer; A Hotz-Wagenblatt; L Li; S Wang; C Ittrich; T Lemberger; R Arribas; S Jonnakuty; M C Hollstein; W Schmid; N Gretz; H J Gröne; G Schütz
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-03       Impact factor: 11.205

Review 2.  Metabolic tagging and purification of nascent RNA: implications for transcriptomics.

Authors:  Caroline C Friedel; Lars Dölken
Journal:  Mol Biosyst       Date:  2009-08-26

3.  Biosynthetic labeling of RNA with uracil phosphoribosyltransferase allows cell-specific microarray analysis of mRNA synthesis and decay.

Authors:  Michael D Cleary; Christopher D Meiering; Eric Jan; Rebecca Guymon; John C Boothroyd
Journal:  Nat Biotechnol       Date:  2005-01-30       Impact factor: 54.908

4.  The INTACT method for cell type-specific gene expression and chromatin profiling in Arabidopsis thaliana.

Authors:  Roger B Deal; Steven Henikoff
Journal:  Nat Protoc       Date:  2010-12-16       Impact factor: 13.491

5.  Application of a translational profiling approach for the comparative analysis of CNS cell types.

Authors:  Joseph P Doyle; Joseph D Dougherty; Myriam Heiman; Eric F Schmidt; Tanya R Stevens; Guojun Ma; Sujata Bupp; Prerana Shrestha; Rajiv D Shah; Martin L Doughty; Shiaoching Gong; Paul Greengard; Nathaniel Heintz
Journal:  Cell       Date:  2008-11-14       Impact factor: 41.582

6.  A translational profiling approach for the molecular characterization of CNS cell types.

Authors:  Myriam Heiman; Anne Schaefer; Shiaoching Gong; Jayms D Peterson; Michelle Day; Keri E Ramsey; Mayte Suárez-Fariñas; Cordelia Schwarz; Dietrich A Stephan; D James Surmeier; Paul Greengard; Nathaniel Heintz
Journal:  Cell       Date:  2008-11-14       Impact factor: 41.582

7.  A high-resolution anatomical atlas of the transcriptome in the mouse embryo.

Authors:  Graciana Diez-Roux; Sandro Banfi; Marc Sultan; Lars Geffers; Santosh Anand; David Rozado; Alon Magen; Elena Canidio; Massimiliano Pagani; Ivana Peluso; Nathalie Lin-Marq; Muriel Koch; Marchesa Bilio; Immacolata Cantiello; Roberta Verde; Cristian De Masi; Salvatore A Bianchi; Juliette Cicchini; Elodie Perroud; Shprese Mehmeti; Emilie Dagand; Sabine Schrinner; Asja Nürnberger; Katja Schmidt; Katja Metz; Christina Zwingmann; Norbert Brieske; Cindy Springer; Ana Martinez Hernandez; Sarah Herzog; Frauke Grabbe; Cornelia Sieverding; Barbara Fischer; Kathrin Schrader; Maren Brockmeyer; Sarah Dettmer; Christin Helbig; Violaine Alunni; Marie-Annick Battaini; Carole Mura; Charlotte N Henrichsen; Raquel Garcia-Lopez; Diego Echevarria; Eduardo Puelles; Elena Garcia-Calero; Stefan Kruse; Markus Uhr; Christine Kauck; Guangjie Feng; Nestor Milyaev; Chuang Kee Ong; Lalit Kumar; MeiSze Lam; Colin A Semple; Attila Gyenesei; Stefan Mundlos; Uwe Radelof; Hans Lehrach; Paolo Sarmientos; Alexandre Reymond; Duncan R Davidson; Pascal Dollé; Stylianos E Antonarakis; Marie-Laure Yaspo; Salvador Martinez; Richard A Baldock; Gregor Eichele; Andrea Ballabio
Journal:  PLoS Biol       Date:  2011-01-18       Impact factor: 8.029

8.  Differential expression analysis for sequence count data.

Authors:  Simon Anders; Wolfgang Huber
Journal:  Genome Biol       Date:  2010-10-27       Impact factor: 13.583

9.  Comparative analysis of RNA sequencing methods for degraded or low-input samples.

Authors:  Xian Adiconis; Diego Borges-Rivera; Rahul Satija; David S DeLuca; Michele A Busby; Aaron M Berlin; Andrey Sivachenko; Dawn Anne Thompson; Alec Wysoker; Timothy Fennell; Andreas Gnirke; Nathalie Pochet; Aviv Regev; Joshua Z Levin
Journal:  Nat Methods       Date:  2013-05-19       Impact factor: 28.547

10.  TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions.

Authors:  Daehwan Kim; Geo Pertea; Cole Trapnell; Harold Pimentel; Ryan Kelley; Steven L Salzberg
Journal:  Genome Biol       Date:  2013-04-25       Impact factor: 13.583

View more
  20 in total

Review 1.  Stem Cell Quiescence: Dynamism, Restraint, and Cellular Idling.

Authors:  Cindy T J van Velthoven; Thomas A Rando
Journal:  Cell Stem Cell       Date:  2019-02-07       Impact factor: 24.633

2.  Probing the structure of ribosome assembly intermediates in vivo using DMS and hydroxyl radical footprinting.

Authors:  Ryan M Hulscher; Jen Bohon; Mollie C Rappé; Sayan Gupta; Rhijuta D'Mello; Michael Sullivan; Corie Y Ralston; Mark R Chance; Sarah A Woodson
Journal:  Methods       Date:  2016-03-22       Impact factor: 3.608

3.  Sequencing cell-type-specific transcriptomes with SLAM-ITseq.

Authors:  Wayo Matsushima; Veronika A Herzog; Tobias Neumann; Katharina Gapp; Johannes Zuber; Stefan L Ameres; Eric A Miska
Journal:  Nat Protoc       Date:  2019-06-26       Impact factor: 13.491

4.  Metabolic labeling of cardiomyocyte-derived small extracellular-vesicle (sEV) miRNAs identifies miR-208a in cardiac regulation of lung gene expression.

Authors:  Chaoshan Han; Junjie Yang; Eric Zhang; Ying Jiang; Aijun Qiao; Yipeng Du; Qinkun Zhang; Junqing An; Jiacheng Sun; Meimei Wang; Thanh Nguyen; Hind Lal; Prasanna Krishnamurthy; Jianyi Zhang; Gangjian Qin
Journal:  J Extracell Vesicles       Date:  2022-10

5.  Effects of Combined Tristetraprolin/Tumor Necrosis Factor Receptor Deficiency on the Splenic Transcriptome.

Authors:  Sonika Patial; Deborah J Stumpo; W Scott Young; James M Ward; Gordon P Flake; Perry J Blackshear
Journal:  Mol Cell Biol       Date:  2016-04-15       Impact factor: 4.272

Review 6.  Getting Down to Specifics: Profiling Gene Expression and Protein-DNA Interactions in a Cell Type-Specific Manner.

Authors:  Colin D McClure; Tony D Southall
Journal:  Adv Genet       Date:  2015-07-23       Impact factor: 1.944

7.  Labeling and Isolation of Fluorouracil Tagged RNA by Cytosine Deaminase Expression.

Authors:  Harihar Basnet; Joan Massague
Journal:  Bio Protoc       Date:  2019-11-20

8.  Transcriptomes of post-mitotic neurons identify the usage of alternative pathways during adult and embryonic neuronal differentiation.

Authors:  Alexandra Tallafuss; Meghan Kelly; Leslie Gay; Dan Gibson; Peter Batzel; Kate V Karfilis; Judith Eisen; Kryn Stankunas; John H Postlethwait; Philip Washbourne
Journal:  BMC Genomics       Date:  2015-12-23       Impact factor: 3.969

9.  Identification of sensory hair-cell transcripts by thiouracil-tagging in zebrafish.

Authors:  Timothy Erickson; Teresa Nicolson
Journal:  BMC Genomics       Date:  2015-10-23       Impact factor: 3.969

10.  Coordinated niche-associated signals promote germline homeostasis in the Drosophila ovary.

Authors:  Zhong Liu; Guohua Zhong; Phing Chian Chai; Lichao Luo; Sen Liu; Ying Yang; Gyeong-Hun Baeg; Yu Cai
Journal:  J Cell Biol       Date:  2015-10-26       Impact factor: 10.539

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.