Literature DB >> 12713944

Measurement of the number of molecules of a single mRNA species in a complex mRNA preparation.

Hubert Hug1, Rainer Schuler.   

Abstract

The normalization of data obtained from hybridization experiments with DNA chips to determine mRNA expression and concentration (gene expression profiling) is an unsolved problem. Furthermore, slight changes in mRNA expression or small numbers of mRNA molecules which may be relevant to disease cannot be detected so far. We have designed a method to calculate the number of molecules of a single mRNA species in a complex mRNA preparation. The basic concept is the transformation of a quantitative problem into a qualitative problem. Individual molecules pertaining to the same molecular species (IMPSMS) are transformed to a mixture of new different molecular species (DMS) and amplified. We propose two implementations of the method. The first procedure is based on a method for cloning tagged nucleic acid molecules onto the surface of micro-beads. It should be possible to transform and determine up to 10(6) IMPSMS into new DMS. The second strategy uses multimeric linkers, a method frequently used in DNA computing to assemble random DNA. The second strategy should be easier to implement but is limited to a few hundred IMPSMS.

Mesh:

Substances:

Year:  2003        PMID: 12713944     DOI: 10.1006/jtbi.2003.3211

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  19 in total

1.  Digital RNA sequencing minimizes sequence-dependent bias and amplification noise with optimized single-molecule barcodes.

Authors:  Katsuyuki Shiroguchi; Tony Z Jia; Peter A Sims; X Sunney Xie
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-09       Impact factor: 11.205

2.  Counting absolute numbers of molecules using unique molecular identifiers.

Authors:  Teemu Kivioja; Anna Vähärautio; Kasper Karlsson; Martin Bonke; Martin Enge; Sten Linnarsson; Jussi Taipale
Journal:  Nat Methods       Date:  2011-11-20       Impact factor: 28.547

3.  Incorporation of unique molecular identifiers in TruSeq adapters improves the accuracy of quantitative sequencing.

Authors:  Jungeui Hong; David Gresham
Journal:  Biotechniques       Date:  2017-11-01       Impact factor: 1.993

4.  Counting individual DNA molecules by the stochastic attachment of diverse labels.

Authors:  Glenn K Fu; Jing Hu; Pei-Hua Wang; Stephen P A Fodor
Journal:  Proc Natl Acad Sci U S A       Date:  2011-05-11       Impact factor: 11.205

5.  RNase H-dependent PCR-enabled T-cell receptor sequencing for highly specific and efficient targeted sequencing of T-cell receptor mRNA for single-cell and repertoire analysis.

Authors:  Shuqiang Li; Jing Sun; Rosa Allesøe; Krishnalekha Datta; Yun Bao; Giacomo Oliveira; Juliet Forman; Roger Jin; Lars Rønn Olsen; Derin B Keskin; Sachet A Shukla; Catherine J Wu; Kenneth J Livak
Journal:  Nat Protoc       Date:  2019-07-24       Impact factor: 13.491

6.  How to deduplicate PCR.

Authors:  Vivien Marx
Journal:  Nat Methods       Date:  2017-04-27       Impact factor: 28.547

Review 7.  Single-Cell RNA Sequencing: Unraveling the Brain One Cell at a Time.

Authors:  Dimitry Ofengeim; Nikolaos Giagtzoglou; Dann Huh; Chengyu Zou; Junying Yuan
Journal:  Trends Mol Med       Date:  2017-05-10       Impact factor: 11.951

8.  Validation of noise models for single-cell transcriptomics.

Authors:  Dominic Grün; Lennart Kester; Alexander van Oudenaarden
Journal:  Nat Methods       Date:  2014-04-20       Impact factor: 28.547

Review 9.  High-dimension single-cell analysis applied to cancer.

Authors:  Lili Wang; Kenneth J Livak; Catherine J Wu
Journal:  Mol Aspects Med       Date:  2017-08-30

10.  META RNA profiling: Multiplexed quantitation of targeted RNAs across large numbers of samples.

Authors:  Azeet Narayan; Rofina Johnkennedy; Maheen Zakaria; Victor Lee; Abhijit A Patel
Journal:  Methods       Date:  2018-10-09       Impact factor: 3.608

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.