Literature DB >> 19502296

Modified PAXgene method allows for isolation of high-integrity total RNA from microlitre volumes of mouse whole blood.

J A Krawiec1, H Chen, S Alom-Ruiz, M Jaye.   

Abstract

Analysis of gene expression is often used to evaluate the effects of experimental manipulations in laboratory animals. Blood is a rich source of potential biomarkers, including gene expression information, which may be obtained from whole blood. When compared with the end of a study, when whole blood samples can be easily obtained for gene expression measurements, the limiting volumes of whole blood obtainable from animals during the course of an experiment requires a method for RNA isolation from a minimal volume of whole blood. The PAXgene Blood RNA Extraction System originally designed for isolation of total RNA from 2.5 mL of human whole blood, was modified and successfully used to isolate high-integrity total RNA from as little as 50 microL of mouse whole blood. Fifty microlitres of mouse whole blood yielded an average of 2.3 microg highly intact total RNA, of sufficient quality and quantity allowing for multiple gene expression determinations. The utility of this method was demonstrated by confirming the time- and dose-dependent upregulation of haem oxygenase-1 (Hmox1) mRNA in response to a single injection of cobalt protoporphyrin. The successful isolation of total RNA from small volumes of mouse whole blood can allow for serial sampling on the same animals, thereby reducing the number of animals required for experimentation.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19502296     DOI: 10.1258/la.2008.0070157

Source DB:  PubMed          Journal:  Lab Anim        ISSN: 0023-6772            Impact factor:   2.471


  9 in total

1.  Altered Blood and Brain Expression of Inflammation and Redox Genes in Alzheimer's Disease, Common to APPV717I × TAUP301L Mice and Patients.

Authors:  Catalina Anca Cucos; Elena Milanesi; Maria Dobre; Ioana Andreea Musat; Gina Manda; Antonio Cuadrado
Journal:  Int J Mol Sci       Date:  2022-05-21       Impact factor: 6.208

2.  Global transcriptomic profiling using small volumes of whole blood: a cost-effective method for translational genomic biomarker identification in small animals.

Authors:  Meagan M Fricano; Amy C Ditewig; Paul M Jung; Michael J Liguori; Eric A G Blomme; Yi Yang
Journal:  Int J Mol Sci       Date:  2011-04-13       Impact factor: 5.923

3.  Comparison of three different kits for extraction of high-quality RNA from frozen blood.

Authors:  Jin-Hee Kim; Hyeon-Ok Jin; Jin-Ah Park; Yoon Hwan Chang; Young Jun Hong; Jin Kyung Lee
Journal:  Springerplus       Date:  2014-02-08

4.  Evaluation of a solid matrix for collection and ambient storage of RNA from whole blood.

Authors:  Heng Tao; Philip Beineke; Bing Li; William Alberts; Steven Rosenberg; Erik Kvam; James A Wingrove
Journal:  BMC Clin Pathol       Date:  2014-05-13

5.  Transcriptomics of the Vaccine Immune Response: Priming With Adjuvant Modulates Recall Innate Responses After Boosting.

Authors:  Francesco Santoro; Elena Pettini; Dmitri Kazmin; Annalisa Ciabattini; Fabio Fiorino; Gregor D Gilfillan; Ida M Evenroed; Peter Andersen; Gianni Pozzi; Donata Medaglini
Journal:  Front Immunol       Date:  2018-06-05       Impact factor: 7.561

6.  Gene expression profiling of whole blood: A comparative assessment of RNA-stabilizing collection methods.

Authors:  Duncan E Donohue; Aarti Gautam; Stacy-Ann Miller; Seshamalini Srinivasan; Duna Abu-Amara; Ross Campbell; Charles R Marmar; Rasha Hammamieh; Marti Jett
Journal:  PLoS One       Date:  2019-10-10       Impact factor: 3.240

7.  TRAPS mutations in Tnfrsf1a decrease the responsiveness to TNFα via reduced cell surface expression of TNFR1.

Authors:  Takahiko Akagi; Sumie Hiramatsu-Asano; Kenta Ikeda; Hiroyasu Hirano; Shoko Tsuji; Ayano Yahagi; Masanori Iseki; Makoto Matsuyama; Tak W Mak; Kazuhisa Nakano; Katsuhiko Ishihara; Yoshitaka Morita; Tomoyuki Mukai
Journal:  Front Immunol       Date:  2022-07-22       Impact factor: 8.786

8.  Whole genome transcript profiling from fingerstick blood samples: a comparison and feasibility study.

Authors:  Elizabeth H Robison; Tony S Mondala; Adam R Williams; Steven R Head; Daniel R Salomon; Sunil M Kurian
Journal:  BMC Genomics       Date:  2009-12-17       Impact factor: 3.969

9.  Increased MYD88 blood transcript in a mouse model of Alzheimer's disease.

Authors:  Catalina Anca Cucos; Maria Dobre; Elena Mihaela Dragnea; Gina Manda; Elena Milanesi
Journal:  BMC Neurosci       Date:  2022-03-11       Impact factor: 3.288

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.