期刊论文详细信息
BMC Cell Biology
Maintaining RNA integrity in a homogeneous population of mammary epithelial cells isolated by Laser Capture Microdissection
Methodology Article
Pierre Defrenaix1  Patrice Martin2  Samira Makhzami2  Claudia Bevilacqua2  Jean-Christophe Helbling3 
[1] Excilone SARL, Microgenomic services, F-78490, Vicq, France;INRA, UMR1313 Unité Génétique Animale et Biologie Intégrative, équipe « Lait, Génome & Santé » F-78350 Jouy-en-Josas, France;INRA-Plateforme ICE (Iso Cell Express), F-78350, Jouy-en-Josas, France;INRA, UMR1313 Unité Génétique Animale et Biologie Intégrative, équipe « Lait, Génome & Santé » F-78350 Jouy-en-Josas, France;INRA-Plateforme ICE (Iso Cell Express), F-78350, Jouy-en-Josas, France;UMR1286 PsyNuGen Unité de Psychoneuroimmunologie, Nutrition et GénétiqueInstitut François Magendie 146 rue Léo Saignat 33077 BORDEAUX CEDEX, France;
关键词: Mammary Gland;    Mammary Epithelial Cell;    Laser Capture Microdissection;    Cresyl Violet;    Relative Expression Software Tool;   
DOI  :  10.1186/1471-2121-11-95
 received in 2010-09-06, accepted in 2010-12-06,  发布年份 2010
来源: Springer
PDF
【 摘 要 】

BackgroundLaser-capture microdissection (LCM) that enables the isolation of specific cell populations from complex tissues under morphological control is increasingly used for subsequent gene expression studies in cell biology by methods such as real-time quantitative PCR (qPCR), microarrays and most recently by RNA-sequencing. Challenges are i) to select precisely and efficiently cells of interest and ii) to maintain RNA integrity. The mammary gland which is a complex and heterogeneous tissue, consists of multiple cell types, changing in relative proportion during its development and thus hampering gene expression profiling comparison on whole tissue between physiological stages. During lactation, mammary epithelial cells (MEC) are predominant. However several other cell types, including myoepithelial (MMC) and immune cells are present, making it difficult to precisely determine the specificity of gene expression to the cell type of origin. In this work, an optimized reliable procedure for producing RNA from alveolar epithelial cells isolated from frozen histological sections of lactating goat, sheep and cow mammary glands using an infrared-laser based Arcturus Veritas LCM (Applied Biosystems®) system has been developed. The following steps of the microdissection workflow: cryosectioning, staining, dehydration and harvesting of microdissected cells have been carefully considered and designed to ensure cell capture efficiency without compromising RNA integrity.ResultsThe best results were obtained when staining 8 μm-thick sections with Cresyl violet® (Ambion, Applied Biosystems®) and capturing microdissected cells during less than 2 hours before RNA extraction. In addition, particular attention was paid to animal preparation before biopsies or slaughtering (milking) and freezing of tissue blocks which were embedded in a cryoprotective compound before being immersed in isopentane. The amount of RNA thus obtained from ca.150 to 250 acini (300,000 to 600,000 μm2) ranges between 5 to 10 ng. RNA integrity number (RIN) was ca. 8.0 and selectivity of this LCM protocol was demonstrated through qPCR analyses for several alveolar cell specific genes, including LALBA (α-lactalbumin) and CSN1S2 (αs2-casein), as well as Krt14 (cytokeratin 14), CD3e and CD68 which are specific markers of MMC, lymphocytes and macrophages, respectively.ConclusionsRNAs isolated from MEC in this manner were of very good quality for subsequent linear amplification, thus making it possible to establish a referential gene expression profile of the healthy MEC, a useful platform for tumor biomarker discovery.

【 授权许可】

CC BY   
© Bevilacqua et al; licensee BioMed Central Ltd. 2010

【 预 览 】
附件列表
Files Size Format View
RO202311107212011ZK.pdf 8973KB PDF download
【 参考文献 】
  • [1]
  • [2]
  • [3]
  • [4]
  • [5]
  • [6]
  • [7]
  • [8]
  • [9]
  • [10]
  • [11]
  • [12]
  • [13]
  • [14]
  • [15]
  • [16]
  • [17]
  • [18]
  • [19]
  • [20]
  • [21]
  • [22]
  • [23]
  • [24]
  • [25]
  • [26]
  • [27]
  • [28]
  • [29]
  • [30]
  • [31]
  • [32]
  • [33]
  • [34]
  • [35]
  • [36]
  • [37]
  • [38]
  • [39]
  • [40]
  • [41]
  • [42]
  • [43]
  • [44]
  • [45]
  • [46]
  • [47]
  • [48]
  • [49]
  • [50]
  • [51]
  • [52]
  • [53]
  • [54]
  文献评价指标  
  下载次数:16次 浏览次数:1次