Brian T Wilhelma, Josette-Renée Landry.
Methods, Article in Press | doi:10.1016/j.ymeth.2009.03.016 | PMID:19336255
The ability to quantitatively survey the global behavior of transcriptomes has been a key milestone in the field of systems biology, enabled by the advent of DNA microarrays. While this approach has literally transformed our vision and approach to cellular physiology, microarray technology has always been limited by the requirement to decide, a priori, what regions of the genome to examine. While very high density tiling arrays have reduced this limitation for simpler organisms, it remains an obstacle for larger, more complex, eukaryotic genomes.
The recent development of “next-generation” massively parallel sequencing (MPS) technologies by companies such as Roche (454 GS FLX), Illumina (Genome Analyzer II), and ABI (AB SOLiD) has completely transformed the way in which quantitative transcriptomics can be done. These new technologies have reduced both the cost-per-reaction and time required by orders of magnitude, making the use of sequencing a cost-effective option for many experimental approaches. One such method that has recently been developed uses MPS technology to directly survey the RNA content of cells, without requiring any of the traditional cloning associated with EST sequencing. This approach, called “RNA-seq”, can generate quantitative expression scores that are comparable to microarrays, with the added benefit that the entire transcriptome is surveyed without the requirement of a priori knowledge of transcribed regions. The important advantage of this technique is that not only can quantitative expression measures be made, but transcript structures including alternatively spliced transcript isoforms, can also be identified. This article discusses the experimental approach for both sample preparation and data analysis for the technique of RNA-seq.
Jeffrey A Rosenfeld, Zhibin Wang, Dustin E Schones, Keji Zhao, Rob DeSalle, Michael Q Zhang.
BMC Genomics 10, 143 (2009) | doi: 10.1186/1471-2164-10-143 | PMID:19335899
Background
Chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq) has recently been used to identify the modification patterns for the methylation and acetylation of many different histone tails in genes and enhancers.
Results
We have extended the analysis of histone modifications to gene deserts, pericentromeres and subtelomeres. Using data from human CD4+ T cells, we have found that each of these non-genic regions has a particular profile of histone modifications that distinguish it from the other non-coding regions. Different methylation states of H4K20, H3K9 and H3K27 were found to be enriched in each region relative to the other regions. These findings indicate that non-genic regions of the genome are variable with respect to histone modification patterns, rather than being monolithic. We furthermore used consensus sequences for unassembled centromeres and telomeres to identify the significant histone modifications in these regions. Finally, we compared the modification patterns in non-genic regions to those at silent genes and genes with higher levels of expression. For all tested methylations with the exception of H3K27me3, the enrichment level of each modification state for silent genes is between that of non-genic regions and expressed genes. For H3K27me3, the highest levels are found in silent genes.
Conclusion
In addition to the histone modification pattern difference between euchromatin and heterochromatin regions, as is illustrated by the enrichment of H3K9me2/3 in non-genic regions while H3K9me1 is enriched at active genes; the chromatin modifications within non-genic (heterochromatin-like) regions (e.g. subtelomeres, pericentromeres and gene deserts) are also quite different.
Yeon Sik Jung, Caroline A. Ross.
Small, Early View | doi:10.1002/smll.200900053 | PMID:19334017
No Abstract.
Jianhui Wang, Minghui Yu, Kai Li, Junhua Xiao, Yuxun Zhou.
Molecular Biotechnology, Online First | doi:10.1007/s12033-009-9169-5 | PMID:19333793
Cell-specific DNA methylation pattern detection is of great importance for the tumorigenesis and differentiation studies. Comparatively, large amounts of DNA were needed for traditional methods of DNA methylation pattern detection, and therefore, more sensitive method for high throughput analysis with a limited amount of DNA is needed. With Mouse 3T3 cells, we developed new multiplex-nested PCR technologies for bisulfite-assisted genomic sequencing PCR (BSP) methylation pattern detection method. Primers step add-in method and templates precipitation methods efficiently increase the throughput of the assay, and the nested PCR method also increased the sensitivity. The optimized assay could successfully detect 15 sequences of methylation pattern with a minimal amount of DNA (500–1,000 cells of genome DNA).
Liane Fendt, Bettina Zimmermann, Martin Daniaux, Walther Parson.
BMC Genomics 10, 139 (2009) | doi:10.1186/1471-2164-10-139 | PMID:19331681
Background
It has been demonstrated that a reliable and fail-safe sequencing strategy is mandatory for high-quality analysis of mitochondrial (mt) DNA, as the sequencing and base-calling process is prone to error. Here, we present a high quality, reliable and easy handling manual procedure for the sequencing of full mt genomes that is also appropriate for laboratories where fully automated processes are not available.
Results
We amplified whole mitochondrial genomes as two overlapping PCR-fragments comprising each about 8500 bases in length. We developed a set of 96 primers that can be applied to a (manual) 96 well-based technology, which resulted in at least double strand sequence coverage of the entire coding region (codR).
Conclusion
This elaborated sequencing strategy is straightforward and allows for an unambiguous sequence analysis and interpretation including sometimes challenging phenomena such as point and length heteroplasmy that are relevant for the investigation of forensic and clinical samples.
Jie Deng, Robert Shoemaker, Bin Xie, Athurva Gore, Emily M LeProust, Jessica Antosiewicz-Bourget, Dieter Egli, Nimet Maherali, In-Hyun Park, Junying Yu, George Q Daley, Kevin Eggan, Konrad Hochedlinger, James Thomson, Wei Wang, Yuan Gao, Kun Zhang.
Nature Biotechnology 27, 353-360 (2009) | doi:10.1038/nbt.1530 | PMID:19330000
Current DNA methylation assays are limited in the flexibility and efficiency of characterizing a large number of genomic targets. We report a method to specifically capture an arbitrary subset of genomic targets for single-molecule bisulfite sequencing for digital quantification of DNA methylation at single-nucleotide resolution. A set of ~30,000 padlock probes was designed to assess methylation of ~66,000 CpG sites within 2,020 CpG islands on human chromosome 12, chromosome 20, and 34 selected regions. To investigate epigenetic differences associated with dedifferentiation, we compared methylation in three human fibroblast lines and eight human pluripotent stem cell lines. Chromosome-wide methylation patterns were similar among all lines studied, but cytosine methylation was slightly more prevalent in the pluripotent cells than in the fibroblasts. Induced pluripotent stem (iPS) cells appeared to display more methylation than embryonic stem cells. We found 288 regions methylated differently in fibroblasts and pluripotent cells. This targeted approach should be particularly useful for analyzing DNA methylation in large genomes.
