Cited by 37

The DOI matches its Crossref record.

Genome-wide computational analysis of potential long noncoding RNA mediated DNA:DNA:RNA triplexes in the human genome

Jalali, Saakshi, Singh, Amrita, Maiti, Souvik, Scaria, Vinod·2017·Journal of Translational Medicine

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/s12967-017-1282-9

Cites

Statistics

Figures

Fig. 1 Proportion of lncRNAs acting as potential third strand of PTS across GENCODE biotypes. a Distribution of 23,898 GENCODE v19 lncRNAs across six subclasses. b Distribution of 286 lncRNAs forming purine motif c 231 lncRNAs forming pyrimidine motif and d 237 lncRNAs forming mixed motif across the six classes including Antisense, LincRNA, Processed Transcript, Retained Intron, Sense intronic and Sense Overlapping
Fig. 1 Proportion of lncRNAs acting as potential third strand of PTS across GENCODE biotypes. a Distribution of 23,898 GENCODE v19 lncRNAs across six subclasses. b Distribution of 286 lncRNAs forming purine motif c 231 lncRNAs forming pyrimidine motif and d 237 lncRNAs forming mixed motif across the six classes including Antisense, LincRNA, Processed Transcript, Retained Intron, Sense intronic and Sense OverlappingCC BY · PubMed Central
Fig. 2 Distribution of PTS frequency across human chromosomes. a Mapping frequency of potential triplex sites (PTS) across forming purine motif b (PTS) across forming pyrimidine motif c (PTS) across forming mixed motif across Human chromosomes
Fig. 2 Distribution of PTS frequency across human chromosomes. a Mapping frequency of potential triplex sites (PTS) across forming purine motif b (PTS) across forming pyrimidine motif c (PTS) across forming mixed motif across Human chromosomesCC BY · PubMed Central
Fig. 3 Distribution of purine motif forming PTS across the transcription start sites (TSS). a and across the Exon–Intron–Exon boundaries (ESS exon start site and EES exon end site) b of RefSeq genes and genomic features associated with RefSeq genes. Distribution of pyrimidine motif forming PTS across TSS (c) and across ESS and EES (d)
Fig. 3 Distribution of purine motif forming PTS across the transcription start sites (TSS). a and across the Exon–Intron–Exon boundaries (ESS exon start site and EES exon end site) b of RefSeq genes and genomic features associated with RefSeq genes. Distribution of pyrimidine motif forming PTS across TSS (c) and across ESS and EES (d)CC BY · PubMed Central
Fig. 4 a Distribution of purine motif PTS across b pyrimidine motif of RefSeq genes and genomic features associated with RefSeq genes c mixed motif. The frequency of PTS was plotted for five distinct genomic features associated with the genes including 1000 bases upstream of TSS (promoter), 5′ Untranslated region (5′UTR), Protein-coding exon (CDS), Intron, 3′ Untranslated region (3′UTR) and 1000 bases downstream of transcription end site (1000 bp down)
Fig. 4 a Distribution of purine motif PTS across b pyrimidine motif of RefSeq genes and genomic features associated with RefSeq genes c mixed motif. The frequency of PTS was plotted for five distinct genomic features associated with the genes including 1000 bases upstream of TSS (promoter), 5′ Untranslated region (5′UTR), Protein-coding exon (CDS), Intron, 3′ Untranslated region (3′UTR) and 1000 bases downstream of transcription end site (1000 bp down)CC BY · PubMed Central
Fig. 5 a Gel Retardation Assay: duplex DNA incubated alone (lane 1) or with increasing concentrations of RNA TFO depicting gel mobility shift with formation of triplex. b UV melting assay: UV spectra of duplex and triplex (1:3::duplex:RNA TFO) representing the biphasic melting transitions for triplex (red) and single melting peak for duplex (blue curve). c CD spectroscopy: CD spectra of duplex and triplex (1:3::duplex:RNA TFO) represented with blue and red curves respectively, indicating the sharp negative peak obtained at 210 nm for the triplex
Fig. 5 a Gel Retardation Assay: duplex DNA incubated alone (lane 1) or with increasing concentrations of RNA TFO depicting gel mobility shift with formation of triplex. b UV melting assay: UV spectra of duplex and triplex (1:3::duplex:RNA TFO) representing the biphasic melting transitions for triplex (red) and single melting peak for duplex (blue curve). c CD spectroscopy: CD spectra of duplex and triplex (1:3::duplex:RNA TFO) represented with blue and red curves respectively, indicating the sharp negative peak obtained at 210 nm for the triplexCC BY · PubMed Central
Fig. 6 Frequency of a purine motif forming PTS and b pyrimidine motifs PTS across regulatory regions including CpG islands, sites of Transcription Factor binding Clustered V2 (TFBS), Transcription Factor Binding Clustered V3 (TFBS V3), Conserved Transcription Factor binding sites (TFBS Conserved), Literature Curated regulatory regions (Open Regulatory Annotations: ORegAnno) and Enhancers
Fig. 6 Frequency of a purine motif forming PTS and b pyrimidine motifs PTS across regulatory regions including CpG islands, sites of Transcription Factor binding Clustered V2 (TFBS), Transcription Factor Binding Clustered V3 (TFBS V3), Conserved Transcription Factor binding sites (TFBS Conserved), Literature Curated regulatory regions (Open Regulatory Annotations: ORegAnno) and EnhancersCC BY · PubMed Central
Fig. 7 Comparative analysis of the association of a purine motif forming PTS and b pyrimidine motifs forming with different histone modification marks H3K4Me1, H3K4me3 and H3K27Ac
Fig. 7 Comparative analysis of the association of a purine motif forming PTS and b pyrimidine motifs forming with different histone modification marks H3K4Me1, H3K4me3 and H3K27AcCC BY · PubMed Central
Fig. 8 Distribution of a purine motif forming PTS and b pyrimidine motifs forming PTS across the ten different classes of repeats which includes DNA repeat elements (DRE), long interspersed nuclear elements (LINE), low complexity repeats (LCR), long terminal repeat elements (LTR), rolling circle (RC), RNA Repeats (RR), Satellite (Sa), short interspersed nuclear elements (SINE), simple repeats (SR), interrupted repeats (IR) and unknown (UC)
Fig. 8 Distribution of a purine motif forming PTS and b pyrimidine motifs forming PTS across the ten different classes of repeats which includes DNA repeat elements (DRE), long interspersed nuclear elements (LINE), low complexity repeats (LCR), long terminal repeat elements (LTR), rolling circle (RC), RNA Repeats (RR), Satellite (Sa), short interspersed nuclear elements (SINE), simple repeats (SR), interrupted repeats (IR) and unknown (UC)CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 46

  1. Carninci P. Tagging mammalian transcription complexity. Trends Genet. 2006;22:501–10. · DOI
  2. Mercer TR, Dinger ME. M attick JS. Long non-coding RNAs: insights into functions. Nat Rev Genet. 2009;10:155–9. · DOI · Paper page
  3. Ponting CP, Oliver PL, Reik W. Evolution and functions of long noncoding RNAs. Cell. 2009;136:629–41. · DOI · Paper page
  4. Wang KC, Chang HY. Molecular mechanisms of long noncoding RNAs. Mol Cell. 2011;43:904–14. · DOI
  5. Wilusz JE, Sunwoo H, Spector DL. Long noncoding RNAs: functional surprises from the RNA world. Genes Dev. 2009;23:1494–504. · DOI
  6. Braconi C, Kogure T, Valeri N, Huang N, Nuovo G, Costinean S, et al. microRNA-29 can regulate expression of the long non-coding RNA gene MEG3 in hepatocellular cancer. Oncogene. 2011;30:4750–6. · DOI · Paper page
  7. Jalali S, Kapoor S, Sivadas A, Bhartiya D, Scaria V. Computational approaches towards understanding human long non-coding RNA biology. Bioinformatics. 2015;31:2241–51. · DOI
  8. Kirsebom LA, Virtanen A, Mikkelsen NE. Aminoglycoside interactions with RNAs and nucleases. Handb Exp Pharmacol. 2006;173:73–96. · DOI
  9. Okazaki Y, Furuno M, Kasukawa T, Adachi J, Bono H, Kondo S, et al. Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs. Nature. 2002;420:563–73. · DOI
  10. Tsai M-C, Manor O, Wan Y, Mosammaparast N, Wang JK, Lan F, et al. Long noncoding RNA as modular scaffold of histone modification complexes. Science [Internet]. 2010;329:689–93. · DOI · Paper page
  11. Bhartiya D, Kapoor S, Jalali S, Sati S, Kaushik K, Sachidanandan C, et al. Conceptual approaches for lncRNA drug discovery and future strategies. Expert Opin Drug Discov. 2012;7:503–13. · DOI
  12. Jalali S, Bhartiya D, Lalwani MK, Sivasubbu S, Scaria V. Systematic transcriptome wide analysis of lncRNA-miRNA interactions. PLoS One. 2013;8:e53823. · DOI
  13. Li Y, Syed J, Sugiyama H. RNA-DNA triplex formation by long noncoding RNAs. Cell Chem Biol. 2016;6:7743.
  14. Chu C, Qu K, Zhong FL, Artandi SE, Chang HY. Genomic maps of long noncoding RNA occupancy reveal principles of RNA-chromatin interactions. Mol Cell. 2011;44:667–78. · DOI
  15. Jeon Y, Lee JT. YY1 tethers Xist RNA to the inactive X nucleation center. Cell. 2011;146:119–33. · DOI
  16. Grote P, Herrmann BG. The long non-coding RNA Fendrr links epigenetic control mechanisms to gene regulatory networks in mammalian embryogenesis. RNA Biol. 2013;10:1579–85. · DOI
  17. Blume SW, Meng Z, Shrestha K, Snyder RC, Emanuel PD. The 5′-untranslated RNA of the human dhfr minor transcript alters transcription pre-initiation complex assembly at the major (core) promoter. J Cell Biochem. 2003;88:165–80. · DOI
  18. Martianov I, Ramadass A, Serra Barros A, Chow N, Akoulitchev A. Repression of the human dihydrofolate reductase gene by a non-coding interfering transcript. Nature. 2007;445:666–70. · DOI
  19. O’Leary VB, Ovsepian SV, Carrascosa LG, Buske FA, Radulovic V, Niyazi M, et al. PARTICLE, a triplex-forming long ncRNA, Regulates locus-specific methylation in response to low-dose irradiation. Cell Rep. 2015;11:474–85. · DOI
  20. Mondal T, Subhash S, Vaid R, Enroth S, Uday S, Reinius B, et al. MEG3 long noncoding RNA regulates the TGF-β pathway genes through formation of RNA-DNA triplex structures. Nat Commun. 2015;6:7743. · DOI
  21. Postepska-Igielska A, Giwojna A, Gasri-Plotnitsky L, Schmitt N, Dold A, Ginsberg D, et al. LncRNA Khps1 regulates expression of the proto-oncogene SPHK1 via triplex-mediated changes in chromatin structure. Mol Cell. 2015;60:626–36. · DOI
  22. Roberts RW, Crothers DM. Stability and properties of double and triple helices: dramatic effects of RNA or DNA backbone composition. Science. 1992;258:1463–6. · DOI
  23. Buske FA, Mattick JS, Bailey TL. Potential in vivo roles of nucleic acid triple-helices. RNA Biol. 2011;8:427–39. · DOI
  24. Hoyne PR, Gacy AM, McMurray CT, Maher LJ. Stabilities of intrastrand pyrimidine motif DNA and RNA triple helices. Nucleic Acids Res. 2000;28:770–5. · DOI
  25. Chu C, Quinn J, Chang HY. Chromatin isolation by RNA purification (ChIRP). J Vis Exp. 2012;61:4–9.
  26. Simon MD. Capture hybridization analysis of RNA targets (CHART). Curr Protoc Mol Biol. 2013;21:21–5.
  27. Buske FA, Bauer DC, Mattick JS, Bailey TL. Triplexator: detecting nucleic acid triple helices in genomic and transcriptomic data. Genome Res. 2012;22:1372–81. · DOI
  28. Wongsurawat T, Jenjaroenpun P, Kwoh CK, Kuznetsov V. Quantitative model of R-loop forming structures reveals a novel level of RNA-DNA interactome complexity. Nucleic Acids Res. 2012;40:e16. · DOI
  29. Buske FA, Bauer DC, Mattick JS, Bailey TL. Triplex-inspector: an analysis tool for triplex-mediated targeting of genomic loci. Bioinformatics. 2013;29:1895–7. · DOI
  30. Chang C-W, Cheng W-C, Chen C-R, Shu W-Y, Tsai M-L, Huang C-L, et al. Identification of human housekeeping genes and tissue-selective genes by microarray meta-analysis. PLoS ONE. 2011;6:e22859. · DOI
  31. Shannon P. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13:2498–504. · DOI · Paper page
  32. Xodo LE, Manzini G, Quadrifoglio F. Spectroscopic and calorimetric investigation on the DNA triplex formed by d(CTCTTCTTTCTTTTCTTTCTTCTC) and d(GAGAAGAAAGA) at acidic pH. Nucleic Acids Res. 1990;18:3557–64. · DOI
  33. Manzini G, Xodo LE, Gasparotto D, Quadrifoglio F, van der Marel GA, van Boom JH. Triple helix formation by oligopurine–oligopyrimidine DNA fragments. Electrophoretic and thermodynamic behavior. J Mol Biol [Internet]. 1990;213:833–43. · DOI
  34. Scaria PV, Will S, Levenson C, Shafer RH. Physicochemical studies of the d(G3T4G3)*d(G3A4G3).d(C3T4C3) triple helix. J Biol Chem. 1995;270:7295–303. · DOI
  35. Ziebarth JD, Bhattacharya A, Cui Y. CTCFBSDB 2.0: a database for CTCF-binding sites and genome organization. Nucleic Acids Res. 2013;41:D188–94. · DOI
  36. Tang Z, Luo OJ, Li X, Zheng M, Zhu JJ, Szalaj P, et al. CTCF-mediated human 3D genome architecture reveals chromatin topology for transcription. Cell. 2015;163:1611–27. · DOI · Paper page
  37. Ong C-T, Corces VG. CTCF: an architectural protein bridging genome topology and function. Nat Rev Genet. 2014;15:234–46. · DOI
  38. Guardavaccaro D, Frescas D, Dorrello NV, Peschiaroli A, Multani AS, Cardozo T, et al. Control of chromosome stability by the β-TrCP–REST–Mad2 axis. Nat Nat Publ Group. 2008;452:365–9.
  39. Harrow J, Frankish A, Gonzalez JM, Tapanari E, Diekhans M, Kokocinski F, et al. GENCODE: the reference human genome annotation for The ENCODE Project. Genome Res. 2012;22:1760–74. · DOI · Paper page
  40. Cabili MN, Trapnell C, Goff L, Koziol M, Tazon-Vega B, Regev A, et al. Integrative annotation of human large intergenic noncoding RNAs reveals global properties and specific subclasses. Genes Dev. 2011;25:1915–27. · DOI
  41. Guttman M, Amit I, Garber M, French C, Lin MF, Feldser D, et al. Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals. Nature. 2009;458:223–7. · DOI · Paper page
  42. Rinn JL, Chang HY. Genome regulation by long noncoding RNAs. Annu Rev Biochem. 2012;81:145–66. · DOI
  43. Quek XC, Thomson DW, Maag JLV, Bartonicek N, Signal B, Clark MB, et al. lncRNAdb v2.0: expanding the reference database for functional long noncoding RNAs. Nucleic Acids Res. 2015;43:D168–73. · DOI
  44. Vinogradova S, Mironov A. HOTAIR expression and its role in chromatin modifications. In: Information technology and systems - 2013 conference for young scientists and engineers, 1–6 September, Kaliningrad, Russia. ISBN 978-5-901158-23-4
  45. Schlumbrecht MP, Xie S-S, Shipley GL, Urbauer DL, Broaddus RR. Molecular clustering based on ERα and EIG121 predicts survival in high-grade serous carcinoma of the ovary/peritoneum. Mod Pathol [Internet]. 2011;24:453–62. · DOI
  46. Deng L, Feng J, Broaddus RR. The novel estrogen-induced gene EIG121 regulates autophagy and promotes cell survival under stress. Cell Death Dis. 2010;1:e32. · DOI

Cited by

Sorted by citations

Metadata

Authors
Jalali, S., Singh, A., Maiti, S., & Scaria, V.
Venue
Journal of Translational Medicine
Published
2017-09-02
Volume
15
Issue
1
ISSN
1479-5876
Cited by
37
References
0
Language
en
Funders
Council of Scientific and Industrial Research (BSC0123)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review