Inherent signals in sequencing-based Chromatin-ImmunoPrecipitation control libraries.
BACKGROUND
The growth of sequencing-based Chromatin Immuno-Precipitation studies call for a more in-depth understanding of the nature of the technology and of the resultant data to reduce false positives and false negatives. Control libraries are typically constructed to complement such studies in order to mitigate the effect of systematic biases that might be present in the data. In this study, we explored multiple control libraries to obtain better understanding of what they truly represent.


METHODS
First, we analyzed the genome-wide profiles of various sequencing-based libraries at a low resolution of 1 Mbp, and compared them with each other as well as against aCGH data. We found that copy number plays a major influence in both ChIP-enriched as well as control libraries. Following that, we inspected the repeat regions to assess the extent of mapping bias. Next, significantly tag-rich 5 kbp regions were identified and they were associated with various genomic landmarks. For instance, we discovered that gene boundaries were surprisingly enriched with sequenced tags. Further, profiles between different cell types were noticeably distinct although the cell types were somewhat related and similar.


CONCLUSIONS
We found that control libraries bear traces of systematic biases. The biases can be attributed to genomic copy number, inherent sequencing bias, plausible mapping ambiguity, and cell-type specific chromatin structure. Our results suggest careful analysis of control libraries can reveal promising biological insights.
Computational and Mathematical Biology Group, Genome Institute of Singapore, Singapore, Singapore.
Vinsensius B
VB
Vega
Edwin
E
Cheung
Nallasivam
N
Palanisamy
Wing-Kin
WK
Sung
D000818:Animals; D001483:Base Sequence; D002460:Cell Line; D002477:Cells; D002843:Chromatin; D047369:Chromatin Immunoprecipitation / Q000379:methods*; D002874:Chromosome Mapping; D018388:Codon, Terminator; D018628:Gene Dosage; D015723:Gene Library; D005796:Genes; D016678:Genome; D023281:Genomics / Q000379:methods*; D055641:Mathematical Concepts; D051379:Mice; D012091:Repetitive Sequences, Nucleic Acid; D017422:Sequence Analysis, DNA / Q000379:methods*
D002843:Chromatin; D018388:Codon, Terminator