journal article·2018-07-24Open access

Epigenetic Optical Mapping of 5-Hydroxymethylcytosine in Nanochannel Arrays

Tslil Gabrieli, Hila Sharim, Gil Nifker, Jonathan Jeffet, Tamar Shahal, Rani Arielly, Michal Levi-Sakin, Lily Hoch, Nissim Arbib, Yael Michaeli, Yuval Ebenstein

ACS Nano· Volume 12· Issue 7

Abstract

The epigenetic mark 5-hydroxymethylcytosine (5-hmC) is a distinct product of active DNA demethylation that is linked to gene regulation, development, and disease. In particular, 5-hmC levels dramatically decline in many cancers, potentially serving as an epigenetic biomarker. The noise associated with next-generation 5-hmC sequencing hinders reliable analysis of low 5-hmC containing tissues such as blood and malignant tumors. Additionally, genome-wide 5-hmC profiles generated by short-read sequencing are limited in providing long-range epigenetic information relevant to highly variable genomic regions, such as the 3.7 Mbp disease-related Human Leukocyte Antigen (HLA) region. We present a long-read, highly sensitive single-molecule mapping technology that generates hybrid genetic/epigenetic profiles of native chromosomal DNA. The genome-wide distribution of 5-hmC in human peripheral blood cells correlates well with 5-hmC DNA immunoprecipitation (hMeDIP) sequencing. However, the long single-molecule read-length of 100 kbp to 1 Mbp produces 5-hmC profiles across variable genomic regions that failed to show up in the sequencing data. In addition, optical 5-hmC mapping shows a strong correlation between the 5-hmC density in gene bodies and the corresponding level of gene expression. The single-molecule concept provides information on the distribution and coexistence of 5-hmC signals at multiple genomic loci on the same genomic DNA molecule, revealing long-range correlations and cell-to-cell epigenetic variation.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Epigenetics and DNA Methylation · Cancer Genomics and Diagnostics · Genomics and Chromatin Dynamics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Chemistry, Center for Nanoscience and Nanotechnology, Center for Light-Matter Interaction, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel

Department of Obstetrics and Gynecology, Meir Hospital, Kfar Saba, Israel

Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel

Funding

FP7 People: Marie-Curie Actions · H2020 Health · Israeli Centers for Research Excellence · FP7 Ideas: European Research Council

References (74)

Show source-provided references
1. 10.1126/science.117011610.1126/science.1170116 ↗
2. 10.1126/science.116978610.1126/science.1169786 ↗
3. 10.1038/nature1000810.1038/nature10008 ↗
4. 10.1186/gb-2011-12-6-r5410.1186/gb-2011-12-6-r54 ↗
5. 10.1038/ncomms124010.1038/ncomms1240 ↗
6. 10.1038/nchem.206410.1038/nchem.2064 ↗
7. 10.1038/nn.295910.1038/nn.2959 ↗
8. 10.1038/srep4279010.1038/srep42790 ↗
9. 10.1016/j.cell.2013.02.00410.1016/j.cell.2013.02.004 ↗
10. 10.3389/fgene.2017.0010010.3389/fgene.2017.00100 ↗
11. 10.1016/j.celrep.2016.01.00810.1016/j.celrep.2016.01.008 ↗
12. 10.15252/embj.20159323510.15252/embj.201593235 ↗
13. 10.1016/j.arr.2017.05.00210.1016/j.arr.2017.05.002 ↗
14. 10.2217/epi-2016-002010.2217/epi-2016-0020 ↗
15. 10.1016/j.neurobiolaging.2014.02.00210.1016/j.neurobiolaging.2014.02.002 ↗
16. 10.1093/eep/dvw01610.1093/eep/dvw016 ↗
17. 10.1038/onc.2012.6710.1038/onc.2012.67 ↗
18. 10.4061/2011/87072610.4061/2011/870726 ↗
19. 10.18632/oncotarget.31610.18632/oncotarget.316 ↗
20. 10.1038/nature0958610.1038/nature09586 ↗
21. 10.1186/s13148-017-0368-910.1186/s13148-017-0368-9 ↗
22. Aslanyan M. G. · Blood · 2013 · 122 · 126110.1182/blood.V122.21.1261.1261 ↗
23. 10.3892/ol.2016.447410.3892/ol.2016.4474 ↗
24. 10.1182/blood-2013-08-51851410.1182/blood-2013-08-518514 ↗
25. 10.1038/cr.2017.10610.1038/cr.2017.106 ↗
26. 10.1038/s41422-018-0014-x10.1038/s41422-018-0014-x ↗
27. 10.1038/cr.2017.12110.1038/cr.2017.121 ↗
28. 10.1126/science.122067110.1126/science.1220671 ↗
29. 10.1016/j.cell.2012.04.02710.1016/j.cell.2012.04.027 ↗
30. 10.1093/nar/gkr12010.1093/nar/gkr120 ↗
31. 10.1038/nbt.173210.1038/nbt.1732 ↗
32. 10.1016/j.molcel.2016.06.02810.1016/j.molcel.2016.06.028 ↗
33. 10.1038/nbt.359810.1038/nbt.3598 ↗
34. 10.1038/nrg311710.1038/nrg3117 ↗
35. 10.1038/nmeth.177910.1038/nmeth.1779 ↗
36. 10.1038/nmeth.145910.1038/nmeth.1459 ↗
37. 10.1038/nmeth.418910.1038/nmeth.4189 ↗
38. 10.1038/nmeth.418410.1038/nmeth.4184 ↗
39. Stoiber M. H. · bioRxiv · 2016
40. 10.1038/nbt.230310.1038/nbt.2303 ↗
41. 10.1016/j.copbio.2013.01.00910.1016/j.copbio.2013.01.009 ↗
42. 10.1073/pnas.160022311310.1073/pnas.1600223113 ↗
43. 10.1021/ja503677n10.1021/ja503677n ↗
44. 10.1039/c3cc42543f10.1039/c3cc42543f ↗
45. 10.1093/bioinformatics/btx43710.1093/bioinformatics/btx437 ↗
46. 10.1016/j.exphem.2016.07.00910.1016/j.exphem.2016.07.009 ↗
47. 10.1093/nar/gkt108010.1093/nar/gkt1080 ↗
48. 10.1038/nbt.239810.1038/nbt.2398 ↗
49. 10.1371/journal.pgen.100215410.1371/journal.pgen.1002154 ↗
50. 10.1186/gb-2014-15-3-r4910.1186/gb-2014-15-3-r49 ↗
51. 10.1186/s13072-016-0070-810.1186/s13072-016-0070-8 ↗
52. 10.18632/oncotarget.1580210.18632/oncotarget.15802 ↗
53. 10.1534/genetics.115.18348310.1534/genetics.115.183483 ↗
54. 10.1093/bfgp/elp01010.1093/bfgp/elp010 ↗
55. 10.1111/j.1399-0039.2004.00327.x10.1111/j.1399-0039.2004.00327.x ↗
56. 10.1016/S0140-6736(02)08158-810.1016/S0140-6736(02)08158-8 ↗
57. 10.1016/j.humimm.2016.04.00210.1016/j.humimm.2016.04.002 ↗
58. 10.1038/jhg.2015.10210.1038/jhg.2015.102 ↗
59. 10.1093/nar/gks86510.1093/nar/gks865 ↗
60. 10.1016/j.gene.2004.07.03610.1016/j.gene.2004.07.036 ↗
61. 10.1038/nrm286110.1038/nrm2861 ↗
62. 10.4161/epi.6.1.1336210.4161/epi.6.1.13362 ↗
63. 10.1007/s10620-013-2663-410.1007/s10620-013-2663-4 ↗
64. 10.1038/ni.228410.1038/ni.2284 ↗
65. 10.1038/nature2297110.1038/nature22971 ↗
66. 10.1038/nmeth.345410.1038/nmeth.3454 ↗
67. 10.1002/cbic.20150032910.1002/cbic.201500329 ↗
68. 10.1038/nprot.2011.45510.1038/nprot.2011.455 ↗
69. 10.1093/bioinformatics/btq03310.1093/bioinformatics/btq033 ↗
70. 10.1038/nmeth.192310.1038/nmeth.1923 ↗
71. 10.1093/bioinformatics/btp35210.1093/bioinformatics/btp352 ↗
72. 10.1515/1544-6115.175010.1515/1544-6115.1750 ↗
73. 10.1038/nature1124710.1038/nature11247 ↗
74. 10.1093/nar/gkw25710.1093/nar/gkw257 ↗