Literature DB >> 20156321

Reprogramming of the non-coding transcriptome during brain development.

Saba Valadkhan1, Timothy W Nilsen.   

Abstract

A recent global analysis of gene expression during the differentiation of neuronal stem cells to neurons and oligodendrocytes indicates a complex pattern of changes in the expression of both protein-coding transcripts and long non-protein-coding RNAs.

Entities:  

Mesh:

Year:  2010        PMID: 20156321      PMCID: PMC2871522          DOI: 10.1186/jbiol197

Source DB:  PubMed          Journal:  J Biol        ISSN: 1475-4924


Minireview

A fascinating and unexpected outcome of the recent analyses of higher eukaryotic genomes has been the demonstration of pervasive transcription from non-protein-coding genomic sequences. Indeed, the preliminary results of the human ENCODE project indicate that whereas protein-coding sequences occupy less than 2% of the human genome, close to 93% of the genome is transcribed into RNA [1]. Although intronic sequences occupy a significant percentage of the non-protein-coding sequences in the genome, the majority of the independent non-protein-coding transcripts belong to the group of long non-coding RNAs (lncRNAs) - RNAs that are more than 200 nucleotides in length and do not appear to have any protein-coding potential [2-4]. A few members of this mysterious and highly understudied group of RNAs have been known for a long time, for example the Xist and Air RNAs; however, the majority of these transcripts have been only recently discovered in high-throughput transcriptome analyses. Furthermore, most of them are expressed at low levels and many do not show a high level of sequence conservation. Thus, the functional significance of this class of RNAs as a whole is still very poorly understood and subject to debate and speculation.

Large non-coding RNAs: a novel class of regulators or transcriptional noise?

Although our understanding of the biological role of this class of RNAs is rudimentary, there are several studies that suggest that lncRNAs are much more than mere 'transcriptional noise', or random output of background transcription, in higher eukaryotes. An interesting clue to the importance of this class of transcripts as a whole comes from the comparison of the percentage of the genome dedicated to non-coding sequences in organisms of differing complexity: as complexity increases so does the extent of non-protein-coding genomic sequences [5]. As the rather minor interspecies differences in the proteome cannot fully account for the dramatic increase in the level of complexity seen in higher eukaryotes, it is plausible that the non-coding transcriptome with its rapid rate of evolution may play a part in this process. Interestingly, bioinformatic analyses of the genomic regions that have evolved most rapidly between human and other primates point to several non-coding sequences, one of which is transcribed into a brain-specific long non-coding RNA that is expressed during the development of the human cortex [6]. Other studies have also indicated that a large fraction of the lncRNAs are expressed in brain, further supporting the tantalizing possibility that they might be involved in the development of the daunting complexity of the human brain [2-4]. Perhaps the most convincing evidence for a functional role for lncRNAs comes from studies that indicate that rather than resulting from background transcription, the expression of the non-coding transcripts is both temporally and spatially regulated. Several high-throughput analyses have shown tissue-specific expression of lncRNAs in stem cells, neuronal tissues and lymphocytes, among other tissues [7-10]. It has also been shown that stimulation of cultured macrophages with immunogenic stimuli results in the induction of the expression of a specific group of lncRNAs [7], proving that the expression of at least some of the lncRNAs is regulated. Interestingly, in many cases the tissue-specific lncRNA genes seem to be positioned in proximity to protein-coding genes with a known functional role in that tissue, suggesting the possibility of regulation in cis by these RNAs [2-4,7]. The above studies provide evidence for a functional role for at least a fraction of lncRNAs, but in order to determine the extent to which lncRNAs participate in cellular processes, more extensive and in-depth studies of the expression pattern of this group of transcripts and follow-up functional analyses are required. In a recent in-depth global analysis of lncRNA expression, published in BMC Neuroscience, Mercer et al. [11] custom designed microarrays to analyze the changes in the expression pattern of both protein-coding transcripts and long non-coding RNAs in forebrain-derived mouse neural stem cells as they differentiate to GABAergic neurons and oligodendrocytes. Initial analysis of their results indicated that in parallel with up- and downregulation of mRNA expression, the expression of a significant number of lncRNAs was also altered during neuronal and oligodendrocytic differentiation events. The expression of 16% of the approximately 14,800 interrogated protein-coding transcripts and 5% of the approximately 3,600 analyzed lncRNAs was significantly changed at one or more differentiation steps in these studies, with the altered expression of several members of both groups exclusively occurring during a single differentiation step. A number of previously characterized neuronally expressed lncRNAs were among those with altered expression, results that support the validity of the analyses.

Positional clues to the function of lncRNAs

While the above data suggest that the expression pattern of lncRNAs is at least as complex as that of mRNAs, a crucial question is the functional significance of the observed changes in lncRNA expression. To date, the molecular mechanism of function of the majority of lncRNAs remains unknown. However, the most informative clues to their possible mode of function come from their genomic position in relation to other transcripts. In many of the studied examples, lncRNAs have been found within transcriptionally complex loci where their expression, directly or indirectly, influences their neighboring genes [2-4]. An lncRNA may partially or completely overlap another gene in the sense or antisense direction, or it can be located in the close vicinity of another gene in the converging or diverging sense or antisense orientation without overlapping it (Figure 1). Depending on the exact position, the lncRNA transcript may affect the neighboring gene through formation of double-stranded RNA, or cause transcriptional interference or alter the local chromatin structure merely by being transcribed. There are also several known examples of intergenic lncRNAs, transcripts that are located far away from other known transcripts and that are likely to exert their cellular function, if any, in trans, through mechanisms yet to be elucidated.
Figure 1

Genomic position of lncRNAs may offer clues to their function. The positional relationship of the lncRNAs (thin arrows) compared to the transcript they regulate (thick arrow) is shown. Serrated lines indicate the long distance between the intergenic lncRNAs and the nearest known transcript, which they may or may not regulate. The three major functional mechanisms employed by currently characterized lncRNAs are listed to the right, and the likelihood that each strategy is used is shown by: - (unlikely to be used), + (likely to be used) or ++ (very likely to be used) signs.

Genomic position of lncRNAs may offer clues to their function. The positional relationship of the lncRNAs (thin arrows) compared to the transcript they regulate (thick arrow) is shown. Serrated lines indicate the long distance between the intergenic lncRNAs and the nearest known transcript, which they may or may not regulate. The three major functional mechanisms employed by currently characterized lncRNAs are listed to the right, and the likelihood that each strategy is used is shown by: - (unlikely to be used), + (likely to be used) or ++ (very likely to be used) signs. As a first step toward understanding the functional significance of the observed gene expression patterns, Mercer et al. [11] analyzed the genomic loci of the lncRNAs that showed significant changes in expression in their analysis. Interestingly, several of these lncRNAs, which included a number of novel transcripts, were part of transcribed loci that contained protein-coding genes with a known function in neural development. In many cases, the position of the lncRNA-mRNA pair was conserved between mouse and human, and expression analyses indicated coordinated expres sion, suggesting a functional interaction. A number of other lncRNAs were associated with highly conserved enhancer elements that regulate the development of forebrain, and yet another group overlapped brain-specific microRNAs (miRNAs), suggesting functional roles in the development of the nervous system for at least a subgroup of the lncRNAs studied. For example, a novel mRNA-like lncRNA that is both spliced and polyadenylated - AK044422 - overlaps a highly conserved and abundant brain-specific miRNA, miR-124a, and furthermore shows a comple mentary expression pattern with ptbp1 (encoding polypyrimidine tract binding protein 1), a target of miR-124a. Analysis of the secondary structure of the lncRNA suggests that it might host several miRNAs, in addition to miR-124a, but whether it has a functional role beyond hosting miR-124a remains to be determined. The intriguing associations observed by Mercer et al. [11] underscore several unanswered questions in the lncRNA field and at the same time provide a firm foundation for future in-depth studies aimed at addressing these questions. To what extent does the observed up- or downregulation of the analyzed lncRNAs affect lineage specification and differentiation of the neuronal stem cells? Do lncRNAs have master regulatory functions in the development of the central nervous system or indeed, in all developmental pathways, or are they confined to minor, fine-tuning regulatory roles? If so, what are the main strategies used by lncRNAs and can we predict their molecular mechanism of function by analysis of their sequence and genomic position? Further studies of mechanism and the dissection of the function of the lncRNAs will be partially guided by analysis of lncRNA secondary structure, as done in the present study. This indicated the presence of several conserved secondary structure elements that may correspond to hitherto unknown RNA functional domains. Taken together, studies so far have provided us with a first glimpse of the intricate and complex web of interactions between lncRNAs and protein-coding RNAs and herald the emergence of a new paradigm for the developmental and differentiation processes of higher eukaryotes. While it is tempting to speculate that many existing gaps in our knowledge of cellular development and function may reflect a lack of knowledge of lncRNA functions, defining the extent to which this class of RNAs affects the development and function of higher eukaryotic species awaits detailed biochemical, molecular and cell biological analyses.
  11 in total

1.  Experimental validation of the regulated expression of large numbers of non-coding RNAs from the mouse genome.

Authors:  Timothy Ravasi; Harukazu Suzuki; Ken C Pang; Shintaro Katayama; Masaaki Furuno; Rie Okunishi; Shiro Fukuda; Kelin Ru; Martin C Frith; M Milena Gongora; Sean M Grimmond; David A Hume; Yoshihide Hayashizaki; John S Mattick
Journal:  Genome Res       Date:  2005-12-12       Impact factor: 9.043

2.  The relationship between non-protein-coding DNA and eukaryotic complexity.

Authors:  Ryan J Taft; Michael Pheasant; John S Mattick
Journal:  Bioessays       Date:  2007-03       Impact factor: 4.345

3.  Specific expression of long noncoding RNAs in the mouse brain.

Authors:  Tim R Mercer; Marcel E Dinger; Susan M Sunkin; Mark F Mehler; John S Mattick
Journal:  Proc Natl Acad Sci U S A       Date:  2008-01-09       Impact factor: 11.205

4.  Genome-wide identification of long noncoding RNAs in CD8+ T cells.

Authors:  Ken C Pang; Marcel E Dinger; Tim R Mercer; Lorenzo Malquori; Sean M Grimmond; Weisan Chen; John S Mattick
Journal:  J Immunol       Date:  2009-06-15       Impact factor: 5.422

Review 5.  Evolution and functions of long noncoding RNAs.

Authors:  Chris P Ponting; Peter L Oliver; Wolf Reik
Journal:  Cell       Date:  2009-02-20       Impact factor: 41.582

Review 6.  Long non-coding RNAs: insights into functions.

Authors:  Tim R Mercer; Marcel E Dinger; John S Mattick
Journal:  Nat Rev Genet       Date:  2009-03       Impact factor: 53.242

Review 7.  Long noncoding RNAs: functional surprises from the RNA world.

Authors:  Jeremy E Wilusz; Hongjae Sunwoo; David L Spector
Journal:  Genes Dev       Date:  2009-07-01       Impact factor: 11.361

8.  Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project.

Authors:  Ewan Birney; John A Stamatoyannopoulos; Anindya Dutta; Roderic Guigó; Thomas R Gingeras; Elliott H Margulies; Zhiping Weng; Michael Snyder; Emmanouil T Dermitzakis; Robert E Thurman; Michael S Kuehn; Christopher M Taylor; Shane Neph; Christoph M Koch; Saurabh Asthana; Ankit Malhotra; Ivan Adzhubei; Jason A Greenbaum; Robert M Andrews; Paul Flicek; Patrick J Boyle; Hua Cao; Nigel P Carter; Gayle K Clelland; Sean Davis; Nathan Day; Pawandeep Dhami; Shane C Dillon; Michael O Dorschner; Heike Fiegler; Paul G Giresi; Jeff Goldy; Michael Hawrylycz; Andrew Haydock; Richard Humbert; Keith D James; Brett E Johnson; Ericka M Johnson; Tristan T Frum; Elizabeth R Rosenzweig; Neerja Karnani; Kirsten Lee; Gregory C Lefebvre; Patrick A Navas; Fidencio Neri; Stephen C J Parker; Peter J Sabo; Richard Sandstrom; Anthony Shafer; David Vetrie; Molly Weaver; Sarah Wilcox; Man Yu; Francis S Collins; Job Dekker; Jason D Lieb; Thomas D Tullius; Gregory E Crawford; Shamil Sunyaev; William S Noble; Ian Dunham; France Denoeud; Alexandre Reymond; Philipp Kapranov; Joel Rozowsky; Deyou Zheng; Robert Castelo; Adam Frankish; Jennifer Harrow; Srinka Ghosh; Albin Sandelin; Ivo L Hofacker; Robert Baertsch; Damian Keefe; Sujit Dike; Jill Cheng; Heather A Hirsch; Edward A Sekinger; Julien Lagarde; Josep F Abril; Atif Shahab; Christoph Flamm; Claudia Fried; Jörg Hackermüller; Jana Hertel; Manja Lindemeyer; Kristin Missal; Andrea Tanzer; Stefan Washietl; Jan Korbel; Olof Emanuelsson; Jakob S Pedersen; Nancy Holroyd; Ruth Taylor; David Swarbreck; Nicholas Matthews; Mark C Dickson; Daryl J Thomas; Matthew T Weirauch; James Gilbert; Jorg Drenkow; Ian Bell; XiaoDong Zhao; K G Srinivasan; Wing-Kin Sung; Hong Sain Ooi; Kuo Ping Chiu; Sylvain Foissac; Tyler Alioto; Michael Brent; Lior Pachter; Michael L Tress; Alfonso Valencia; Siew Woh Choo; Chiou Yu Choo; Catherine Ucla; Caroline Manzano; Carine Wyss; Evelyn Cheung; Taane G Clark; James B Brown; Madhavan Ganesh; Sandeep Patel; Hari Tammana; Jacqueline Chrast; Charlotte N Henrichsen; Chikatoshi Kai; Jun Kawai; Ugrappa Nagalakshmi; Jiaqian Wu; Zheng Lian; Jin Lian; Peter Newburger; Xueqing Zhang; Peter Bickel; John S Mattick; Piero Carninci; Yoshihide Hayashizaki; Sherman Weissman; Tim Hubbard; Richard M Myers; Jane Rogers; Peter F Stadler; Todd M Lowe; Chia-Lin Wei; Yijun Ruan; Kevin Struhl; Mark Gerstein; Stylianos E Antonarakis; Yutao Fu; Eric D Green; Ulaş Karaöz; Adam Siepel; James Taylor; Laura A Liefer; Kris A Wetterstrand; Peter J Good; Elise A Feingold; Mark S Guyer; Gregory M Cooper; George Asimenos; Colin N Dewey; Minmei Hou; Sergey Nikolaev; Juan I Montoya-Burgos; Ari Löytynoja; Simon Whelan; Fabio Pardi; Tim Massingham; Haiyan Huang; Nancy R Zhang; Ian Holmes; James C Mullikin; Abel Ureta-Vidal; Benedict Paten; Michael Seringhaus; Deanna Church; Kate Rosenbloom; W James Kent; Eric A Stone; Serafim Batzoglou; Nick Goldman; Ross C Hardison; David Haussler; Webb Miller; Arend Sidow; Nathan D Trinklein; Zhengdong D Zhang; Leah Barrera; Rhona Stuart; David C King; Adam Ameur; Stefan Enroth; Mark C Bieda; Jonghwan Kim; Akshay A Bhinge; Nan Jiang; Jun Liu; Fei Yao; Vinsensius B Vega; Charlie W H Lee; Patrick Ng; Atif Shahab; Annie Yang; Zarmik Moqtaderi; Zhou Zhu; Xiaoqin Xu; Sharon Squazzo; Matthew J Oberley; David Inman; Michael A Singer; Todd A Richmond; Kyle J Munn; Alvaro Rada-Iglesias; Ola Wallerman; Jan Komorowski; Joanna C Fowler; Phillippe Couttet; Alexander W Bruce; Oliver M Dovey; Peter D Ellis; Cordelia F Langford; David A Nix; Ghia Euskirchen; Stephen Hartman; Alexander E Urban; Peter Kraus; Sara Van Calcar; Nate Heintzman; Tae Hoon Kim; Kun Wang; Chunxu Qu; Gary Hon; Rosa Luna; Christopher K Glass; M Geoff Rosenfeld; Shelley Force Aldred; Sara J Cooper; Anason Halees; Jane M Lin; Hennady P Shulha; Xiaoling Zhang; Mousheng Xu; Jaafar N S Haidar; Yong Yu; Yijun Ruan; Vishwanath R Iyer; Roland D Green; Claes Wadelius; Peggy J Farnham; Bing Ren; Rachel A Harte; Angie S Hinrichs; Heather Trumbower; Hiram Clawson; Jennifer Hillman-Jackson; Ann S Zweig; Kayla Smith; Archana Thakkapallayil; Galt Barber; Robert M Kuhn; Donna Karolchik; Lluis Armengol; Christine P Bird; Paul I W de Bakker; Andrew D Kern; Nuria Lopez-Bigas; Joel D Martin; Barbara E Stranger; Abigail Woodroffe; Eugene Davydov; Antigone Dimas; Eduardo Eyras; Ingileif B Hallgrímsdóttir; Julian Huppert; Michael C Zody; Gonçalo R Abecasis; Xavier Estivill; Gerard G Bouffard; Xiaobin Guan; Nancy F Hansen; Jacquelyn R Idol; Valerie V B Maduro; Baishali Maskeri; Jennifer C McDowell; Morgan Park; Pamela J Thomas; Alice C Young; Robert W Blakesley; Donna M Muzny; Erica Sodergren; David A Wheeler; Kim C Worley; Huaiyang Jiang; George M Weinstock; Richard A Gibbs; Tina Graves; Robert Fulton; Elaine R Mardis; Richard K Wilson; Michele Clamp; James Cuff; Sante Gnerre; David B Jaffe; Jean L Chang; Kerstin Lindblad-Toh; Eric S Lander; Maxim Koriabine; Mikhail Nefedov; Kazutoyo Osoegawa; Yuko Yoshinaga; Baoli Zhu; Pieter J de Jong
Journal:  Nature       Date:  2007-06-14       Impact factor: 49.962

9.  Long noncoding RNAs in neuronal-glial fate specification and oligodendrocyte lineage maturation.

Authors:  Tim R Mercer; Irfan A Qureshi; Solen Gokhan; Marcel E Dinger; Guangyu Li; John S Mattick; Mark F Mehler
Journal:  BMC Neurosci       Date:  2010-02-05       Impact factor: 3.288

10.  An RNA gene expressed during cortical development evolved rapidly in humans.

Authors:  Katherine S Pollard; Sofie R Salama; Nelle Lambert; Marie-Alexandra Lambot; Sandra Coppens; Jakob S Pedersen; Sol Katzman; Bryan King; Courtney Onodera; Adam Siepel; Andrew D Kern; Colette Dehay; Haller Igel; Manuel Ares; Pierre Vanderhaeghen; David Haussler
Journal:  Nature       Date:  2006-08-16       Impact factor: 49.962

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Review 1.  REST and CoREST are transcriptional and epigenetic regulators of seminal neural fate decisions.

Authors:  Irfan A Qureshi; Solen Gokhan; Mark F Mehler
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2.  Computational analysis of functional long noncoding RNAs reveals lack of peptide-coding capacity and parallels with 3' UTRs.

Authors:  Farshad Niazi; Saba Valadkhan
Journal:  RNA       Date:  2012-02-23       Impact factor: 4.942

3.  Long noncoding RNA genes: conservation of sequence and brain expression among diverse amniotes.

Authors:  Rebecca A Chodroff; Leo Goodstadt; Tamara M Sirey; Peter L Oliver; Kay E Davies; Eric D Green; Zoltán Molnár; Chris P Ponting
Journal:  Genome Biol       Date:  2010-07-12       Impact factor: 13.583

Review 4.  The functional role of long non-coding RNAs and epigenetics.

Authors:  Jinneng Cao
Journal:  Biol Proced Online       Date:  2014-09-15       Impact factor: 3.244

Review 5.  lncRNA-mediated regulation of the interferon response.

Authors:  Saba Valadkhan; Lalith S Gunawardane
Journal:  Virus Res       Date:  2015-10-22       Impact factor: 3.303

Review 6.  Regulation of the Interferon Response by lncRNAs in HCV Infection.

Authors:  Saba Valadkhan; Puri Fortes
Journal:  Front Microbiol       Date:  2018-02-16       Impact factor: 5.640

7.  The novel lncRNA lnc-NR2F1 is pro-neurogenic and mutated in human neurodevelopmental disorders.

Authors:  Cheen Euong Ang; Qing Ma; Orly L Wapinski; Anand Srivastava; Marius Wernig; Howard Y Chang; ShengHua Fan; Ryan A Flynn; Qian Yi Lee; Bradley Coe; Masahiro Onoguchi; Victor Hipolito Olmos; Brian T Do; Lynn Dukes-Rimsky; Jin Xu; Koji Tanabe; LiangJiang Wang; Ulrich Elling; Josef M Penninger; Yang Zhao; Kun Qu; Evan E Eichler
Journal:  Elife       Date:  2019-01-10       Impact factor: 8.140

8.  A Statistical Method without Training Step for the Classification of Coding Frame in Transcriptome Sequences.

Authors:  Nicolas Carels; Diego Frías
Journal:  Bioinform Biol Insights       Date:  2013-01-23

Review 9.  Sizing up long non-coding RNAs: do lncRNAs have secondary and tertiary structure?

Authors:  Irina V Novikova; Scott P Hennelly; Karissa Y Sanbonmatsu
Journal:  Bioarchitecture       Date:  2012 Nov-Dec
  9 in total

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