Literature DB >> 28765841

Capture, amplification, and global profiling of microRNAs from low quantities of whole cell lysate.

Nayi Wang1, Jijun Cheng, Rong Fan, Jun Lu.   

Abstract

MicroRNAs (miRNAs) are small non-coding RNAs that control gene expression at the post-transcriptional level via a complex regulatory network that requires genome-wide miRNA profiling to dissect. The patterns of miRNA expression at the genome scale are rich in diagnostic and prognostic information for human diseases such as cancers. This analysis, however, requires multi-step purification of RNAs from large quantities of cells, which is not only time consuming and costly but also challenging in situations where cell numbers are limited. In this study, we report direct capture, amplification, and library preparation of miRNAs from whole cell lysate without the need of pre-purification. As a result, it enables genome-wide miRNA profiling reproducibly with low quantity of cell samples (∼500 hematopoietic cells). Specifically, we conducted a systematic investigation of two key steps - cell lysis for miRNA release and 3' adaptor ligation required for direct miRNA capture and amplification. The obtained expression profile not only distinguishes cell types but also detects individual miRNA alterations in closely related isogenic cell lines. This approach, which is substantially simple as compared to the standard methods because of elimination of the need for RNA purification, is advantageous for the measurement of low quantity samples.

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Year:  2017        PMID: 28765841      PMCID: PMC5605290          DOI: 10.1039/c7an00670e

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  22 in total

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Authors:  Fatih Ozsolak; Patrice M Milos
Journal:  Nat Rev Genet       Date:  2010-12-30       Impact factor: 53.242

3.  Structural basis for 5'-nucleotide base-specific recognition of guide RNA by human AGO2.

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Journal:  Nature       Date:  2010-05-26       Impact factor: 49.962

4.  Construction of small RNA cDNA libraries for deep sequencing.

Authors:  Cheng Lu; Blake C Meyers; Pamela J Green
Journal:  Methods       Date:  2007-10       Impact factor: 3.608

Review 5.  microRNA functions.

Authors:  Natascha Bushati; Stephen M Cohen
Journal:  Annu Rev Cell Dev Biol       Date:  2007       Impact factor: 13.827

6.  MicroRNA expression profiles classify human cancers.

Authors:  Jun Lu; Gad Getz; Eric A Miska; Ezequiel Alvarez-Saavedra; Justin Lamb; David Peck; Alejandro Sweet-Cordero; Benjamin L Ebert; Raymond H Mak; Adolfo A Ferrando; James R Downing; Tyler Jacks; H Robert Horvitz; Todd R Golub
Journal:  Nature       Date:  2005-06-09       Impact factor: 49.962

Review 7.  Identification of microRNAs and other small regulatory RNAs using cDNA library sequencing.

Authors:  Markus Hafner; Pablo Landgraf; Janos Ludwig; Amanda Rice; Tolulope Ojo; Carolina Lin; Daniel Holoch; Cindy Lim; Thomas Tuschl
Journal:  Methods       Date:  2008-01       Impact factor: 3.608

8.  MicroRNAs can generate thresholds in target gene expression.

Authors:  Shankar Mukherji; Margaret S Ebert; Grace X Y Zheng; John S Tsang; Phillip A Sharp; Alexander van Oudenaarden
Journal:  Nat Genet       Date:  2011-08-21       Impact factor: 38.330

9.  A cost-effective method for Illumina small RNA-Seq library preparation using T4 RNA ligase 1 adenylated adapters.

Authors:  Yun-Ru Chen; Yi Zheng; Bao Liu; Silin Zhong; Jim Giovannoni; Zhangjun Fei
Journal:  Plant Methods       Date:  2012-09-20       Impact factor: 4.993

10.  Elimination of ligation dependent artifacts in T4 RNA ligase to achieve high efficiency and low bias microRNA capture.

Authors:  Yunke Song; Kelvin J Liu; Tza-Huei Wang
Journal:  PLoS One       Date:  2014-04-10       Impact factor: 3.240

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