Literature DB >> 32301333

A method for isolating RNA from canine bone.

Rebecca Nance1,2, Payal Agarwal1,2, Maninder Sandey2, Dmytro Starenki3, Jey Koehler2, Abdul Mohin Sajib2, Bruce F Smith1,2.   

Abstract

Extracting sufficient quantity and quality RNA from bone is essential for downstream application, such as transcriptomic sequencing, to evaluate gene expression. Isolation of RNA from bone presents a unique challenge owing to the hypocellular, brittle and mineralized matrix, which makes homogenizing the tissue difficult and provides little RNA to work with. Removal of contaminating tissue, such as bone marrow and connective tissue, is essential for isolating RNA that is unique to osteoblasts, osteoclasts and osteocytes. This study established a method to effectively isolate RNA from normal canine bone cells using the phalanges, without contamination from other tissue types, for downstream transcriptomic analysis.

Entities:  

Keywords:  RNA; bone; canine; dog; osteoblasts; osteoclasts; osteocytes; sequencing

Year:  2020        PMID: 32301333     DOI: 10.2144/btn-2019-0153

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  4 in total

1.  An improved method for isolation of RNA from rat femur.

Authors:  Alka Khera; Thungapathra MuthuKumarappa; Dheeraj Dumir; Poonam Kanta; Gaurav Kumar; Jaswinder Kalra
Journal:  Int J Biochem Mol Biol       Date:  2022-06-15

Review 2.  Canine and murine models of osteosarcoma.

Authors:  Jessica Beck; Ling Ren; Shan Huang; Erika Berger; Kathleen Bardales; Joshua Mannheimer; Christina Mazcko; Amy LeBlanc
Journal:  Vet Pathol       Date:  2022-03-26       Impact factor: 3.157

3.  An Improved Method for Isolating High-Quality RNA From Rat Bone at Room Temperature Without the Need for Specialized Equipment.

Authors:  Frideriki Poutoglidou; Athanasios Saitis; Chryssa Pourzitaki; Dimitrios Kouvelas
Journal:  Cureus       Date:  2021-03-10

4.  Transcriptomic Analysis of Canine Osteosarcoma from a Precision Medicine Perspective Reveals Limitations of Differential Gene Expression Studies.

Authors:  Rebecca L Nance; Sara J Cooper; Dmytro Starenki; Xu Wang; Brad Matz; Stephanie Lindley; Annette N Smith; Ashley A Smith; Noelle Bergman; Maninder Sandey; Jey Koehler; Payal Agarwal; Bruce F Smith
Journal:  Genes (Basel)       Date:  2022-04-13       Impact factor: 4.141

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.