aRNA-longSAGE: a new approach to generate SAGE libraries from microdissected cells.

نویسندگان

  • Anna M Heidenblut
  • Jutta Lüttges
  • Malte Buchholz
  • Christian Heinitz
  • Jeppe Emmersen
  • Kåre Lehmann Nielsen
  • Pat Schreiter
  • Manfred Souquet
  • Sandra Nowacki
  • Ulrike Herbrand
  • Günter Klöppel
  • Wolff Schmiegel
  • Thomas Gress
  • Stephan A Hahn
چکیده

Large-scale gene expression analyses of microdissected primary tissue are still difficult because generally only a limited amount of mRNA can be obtained from microdissected cells. The introduction of the T7-based RNA amplification technique was an important step to reduce the amount of RNA needed for such analyses. This amplification technique produces amplified antisense RNA (aRNA), which so far has precluded its direct use for serial analysis of gene expression (SAGE) library production. We describe a method, termed 'aRNA-longSAGE', which is the first to allow the direct use of aRNA for standard longSAGE library production. The aRNA-longSAGE protocol was validated by comparing two aRNA-longSAGE libraries with two Micro-longSAGE libraries that were generated from the same RNA preparations of two different cell lines. Using a conservative validation approach, we were able to verify 68% of the differentially expressed genes identified by aRNA-longSAGE. Furthermore, the identification rate of differentially expressed genes was roughly twice as high in our aRNA-longSAGE libraries as in the standard Micro-longSAGE libraries. Using our validated aRNA-longSAGE protocol, we were able to successfully generate longSAGE libraries from as little as 40 ng of total RNA isolated from 2000-3000 microdissected pancreatic ductal epithelial cells or cells from pancreatic intraepithelial neoplasias.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Robust-LongSAGE (RL-SAGE): a substantially improved LongSAGE method for gene discovery and transcriptome analysis.

Serial analysis of gene expression (SAGE) is a widely used technique for large-scale transcriptome analysis in mammalian systems. Recently, a modified version called LongSAGE (S. Saha, A.B. Sparks, C. Rago, V. Akmaev, C.J. Wang, B. Vogelstein, K.W. Kinzler [2002] Nat Biotechnol 20: 508-512) was reported by increasing tag length up to 21 bp. Although the procedures for these two methods are simi...

متن کامل

Breakthrough Technologies Robust-LongSAGE (RL-SAGE): A Substantially Improved LongSAGE Method for Gene Discovery and Transcriptome Analysis

Serial analysis of gene expression (SAGE) is a widely used technique for large-scale transcriptome analysis in mammalian systems. Recently, a modified version called LongSAGE (S. Saha, A.B. Sparks, C. Rago, V. Akmaev, C.J. Wang, B. Vogelstein, K.W. Kinzler [2002] Nat Biotechnol 20: 508–512) was reported by increasing tag length up to 21 bp. Although the procedures for these two methods are simi...

متن کامل

Modification of LongSAGE for obtaining and cloning long concatemers.

BENCHMARKS The serial analysis of gene expression (SAGE) provides high-throughput information on researched samples. SAGE generates 9–13 bp tags from messenger RNA (mRNA) of the sample, and all tags are ligated to form concatemers for cloning and sequencing (1). LongSAGE uses similar procedures but a different restriction enzyme to obtain longer tags (19–21 bp). Both SAGE and LongSAGE tags are ...

متن کامل

Digital transcript profile analysis with aRNA-LongSAGE validates FERMT1 as a potential novel prognostic marker for colon cancer.

PURPOSE To use gene transcript profiling to identify cancer-associated gene expression. EXPERIMENTAL DESIGN Methods included (i) marker discovery using laser capture microdissection (LCM)-assisted specimen preparation and antisense RNA-long serial analysis of gene expression (aRNA-LongSAGE) on matched colon cancer and uninvolved colon tissue specimens (n = 5). Candidate tumor-associated genes...

متن کامل

Statistical modeling of sequencing errors in SAGE libraries.

MOTIVATION Sequencing errors may bias the gene expression measurements made by Serial Analysis of Gene Expression (SAGE). They may introduce non-existent tags at low abundance and decrease the real abundance of other tags. These effects are increased in the longer tags generated in LongSAGE libraries. Current sequencing technology generates quite accurate estimates of sequencing error rates. He...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Nucleic acids research

دوره 32 16  شماره 

صفحات  -

تاریخ انتشار 2004