Literature DB >> 19875928

Whole genome transcriptome analysis.

Alistair R R Forrest1, Piero Carninci.   

Abstract

Recent studies indicate that the majority of the genome is transcribed, however only a fraction of this transcription is annotated as what we traditionally know as genes. Much of this is low level pervasive, and often overlapping transcription, for which the transcript structure and function, has not as yet been determined. Novel RNAs (and novel classes of RNAs), are now being identified by groups using next generation sequencing and cDNA libraries that target specific sub-fractions of the transcriptome (based upon size, modifications, localization and protein interactions). We discuss the state of the art as to measuring and identifying these novel RNAs and speculate on whether a universal approach to transcript isoform and expression level measurement is possible in the near future.

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Year:  2009        PMID: 19875928     DOI: 10.4161/rna.6.2.7931

Source DB:  PubMed          Journal:  RNA Biol        ISSN: 1547-6286            Impact factor:   4.652


  16 in total

Review 1.  Annotating non-coding transcription using functional genomics strategies.

Authors:  Alistair R R Forrest; Rehab F Abdelhamid; Piero Carninci
Journal:  Brief Funct Genomic Proteomic       Date:  2009-11

2.  Biogenic mechanisms and utilization of small RNAs derived from human protein-coding genes.

Authors:  Eivind Valen; Pascal Preker; Peter Refsing Andersen; Xiaobei Zhao; Yun Chen; Christine Ender; Anne Dueck; Gunter Meister; Albin Sandelin; Torben Heick Jensen
Journal:  Nat Struct Mol Biol       Date:  2011-08-07       Impact factor: 15.369

3.  5' end-centered expression profiling using cap-analysis gene expression and next-generation sequencing.

Authors:  Hazuki Takahashi; Timo Lassmann; Mitsuyoshi Murata; Piero Carninci
Journal:  Nat Protoc       Date:  2012-02-23       Impact factor: 13.491

Review 4.  Laser capture microdissection: Big data from small samples.

Authors:  Soma Datta; Lavina Malhotra; Ryan Dickerson; Scott Chaffee; Chandan K Sen; Sashwati Roy
Journal:  Histol Histopathol       Date:  2015-04-20       Impact factor: 2.303

Review 5.  RNA dust: where are the genes?

Authors:  Piero Carninci
Journal:  DNA Res       Date:  2010-03-07       Impact factor: 4.458

6.  Targeted genome-wide enrichment of functional regions.

Authors:  Periannan Senapathy; Ashwini Bhasi; Jeffrey Mattox; Perundurai S Dhandapany; Sakthivel Sadayappan
Journal:  PLoS One       Date:  2010-06-16       Impact factor: 3.240

7.  Linking promoters to functional transcripts in small samples with nanoCAGE and CAGEscan.

Authors:  Charles Plessy; Nicolas Bertin; Hazuki Takahashi; Roberto Simone; Md Salimullah; Timo Lassmann; Morana Vitezic; Jessica Severin; Signe Olivarius; Dejan Lazarevic; Nadine Hornig; Valerio Orlando; Ian Bell; Hui Gao; Jacqueline Dumais; Philipp Kapranov; Huaien Wang; Carrie A Davis; Thomas R Gingeras; Jun Kawai; Carsten O Daub; Yoshihide Hayashizaki; Stefano Gustincich; Piero Carninci
Journal:  Nat Methods       Date:  2010-06-13       Impact factor: 28.547

8.  Cost-effective sequencing of full-length cDNA clones powered by a de novo-reference hybrid assembly.

Authors:  Reginaldo M Kuroshu; Junichi Watanabe; Sumio Sugano; Shinichi Morishita; Yutaka Suzuki; Masahiro Kasahara
Journal:  PLoS One       Date:  2010-05-07       Impact factor: 3.240

9.  A platform independent RNA-Seq protocol for the detection of transcriptome complexity.

Authors:  Claudia Calabrese; Marina Mangiulli; Caterina Manzari; Anna Maria Paluscio; Mariano Francesco Caratozzolo; Flaviana Marzano; Ivana Kurelac; Anna Maria D'Erchia; Domenica D'Elia; Flavio Licciulli; Sabino Liuni; Ernesto Picardi; Marcella Attimonelli; Giuseppe Gasparre; Anna Maria Porcelli; Graziano Pesole; Elisabetta Sbisà; Apollonia Tullo
Journal:  BMC Genomics       Date:  2013-12-05       Impact factor: 3.969

10.  Non-laser capture microscopy approach for the microdissection of discrete mouse brain regions for total RNA isolation and downstream next-generation sequencing and gene expression profiling.

Authors:  Norman Atkins; Charlie M Miller; Joseph R Owens; Fred W Turek
Journal:  J Vis Exp       Date:  2011-11-13       Impact factor: 1.355

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