Jing Tu

Assessment of nanomaterial cytotoxicity with SOLiD sequencing-based microRNA expression profiling.

The cytotoxicity of nanomaterials has become a major concern in the field of nanotechnology. The key challenge is the lack of reliable methods to examine the overall cellular effects of nanomaterials. Here, a new method is developed to assess the cytological effects of nanomaterial basing on miRNA expression profiling. The SOLiD sequencing is used to acquire the miRNAs expression profiling in NIH/3T3 cells after exposure to Fe(2)O(3) NPs, CdTe QDs and MW-CNTs, respectively. The systematic analysis of miRNAs expression profiling is established by taking account of all miRNAs into their regulatory networks. By affecting the output of targeted mRNAs, miRNAs widely regulated the KEGG pathways and GO biological processes in nanomaterial treated cells. Therefore, the miRNA expression profiling can well reflect the characteristic of nanomaterials, and the method not only provide more evidences to assess biocompatibility of nanomaterials and but also clues to discover new biological effects of nanomaterials.

High-Throughput Sequencing of MicroRNAs in Adenovirus Type 3 Infected Human Laryngeal Epithelial Cells

Adenovirus infection can cause various illnesses depending on the infecting serotype, such as gastroenteritis, conjunctivitis, cystitis, and rash illness, but the infection mechanism is still unknown. MicroRNAs (miRNA) have been reported to play essential roles in cell proliferation, cell differentiation, and pathogenesis of human diseases including viral infections. We analyzed the miRNA expression profiles from adenovirus type 3 (AD3) infected Human laryngeal epithelial (Hep2) cells using a SOLiD deep sequencing. 492 precursor miRNAs were identified in the AD3 infected Hep2 cells, and 540 precursor miRNAs were identified in the control. A total of 44 miRNAs demonstrated high expression and 36 miRNAs showed lower expression in the AD3 infected cells than control. The biogenesis of miRNAs has been analyzed, and some of the SOLiD results were confirmed by Quantitative PCR analysis. The present studies may provide a useful clue for the biological function research into AD3 infection.

Pair-barcode high-throughput sequencing for large-scale multiplexed sample analysis

BackgroundThe multiplexing becomes the major limitation of the next-generation sequencing (NGS) in application to low complexity samples. Physical space segregation allows limited multiplexing, while the existing barcode approach only permits simultaneously analysis of up to several dozen samples.ResultsHere we introduce pair-barcode sequencing (PBS), an economic and flexible barcoding technique that permits parallel analysis of large-scale multiplexed samples. In two pilot runs using SOLiD sequencer (Applied Biosystems Inc.), 32 independent pair-barcoded miRNA libraries were simultaneously discovered by the combination of 4 unique forward barcodes and 8 unique reverse barcodes. Over 174,000,000 reads were generated and about 64% of them are assigned to both of the barcodes. After mapping all reads to pre-miRNAs in miRBase, different miRNA expression patterns are captured from the two clinical groups. The strong correlation using different barcode pairs and the high consistency of miRNA expression in two independent runs demonstrates that PBS approach is valid.ConclusionsBy employing PBS approach in NGS, large-scale multiplexed pooled samples could be practically analyzed in parallel so that high-throughput sequencing economically meets the requirements of samples which are low sequencing throughput demand.

Global analysis of in vivo EGR1-binding sites in erythroleukemia cell using chromatin immunoprecipitation and massively parallel sequencing

Early growth response gene 1 (EGR1) has been implicated in megakaryocyte differentiation induced by phorbol ester. But the molecule mechanism of EGR1 in this process has not been widely investigated. The identification of direct EGR1 target genes in a global scale is critical for our understanding of how EGR1 contributes to this process. In this study, we provide a global survey on the binding location of EGR1 in the K562 cells using chromatin immunoprecipitation and massively parallel sequencing. Over 14 000 highly confident in vivo EGR1 binding sites were identified in phorbol 12‐myristate 13‐acetate‐treated K562 cells. More than 70% of these genomic sites associated with EGR1 binding were located around annotated gene regions. Molecular functional classification of 6138 putative EGR1 target genes showed that the transcription factor class (695 of 6138; 11%) is the largest significantly enriched one. The results showed that a high coverage of the genome and a high positive rate achieve were achieved. This whole genome study on the EGR1 targets may provide a better understanding of the EGR1 regulated genes and the downstream pathway in megakaryocyte differentiation.

Sequencing circulating miRNA in maternal plasma with modified library preparation

BACKGROUND AND OBJECTIVES Circulating microRNAs in maternal plasma as one type of the cell free nucleotide acid revealed its potential for non-invasive prenatal diagnosis. The next generation sequencing technology provides promising approach detecting miRNA for such purpose. METHOD In this present study, a modified library preparation method for SOLiD sequencing technology was developed and maternal plasma miRNA from single and twin pregnancies was analyzed. Quantitative PCR was carried out for comparison. RESULTS Results showed that the sequenced data was improved remarkably with this modified library preparation method; different types and levels of miRNA expression were found in twin pregnancy compared with control. Several miRNAs were validated that remarkably changed in twin pregnancy. INTERPRETATION AND CONCLUSION It is indicated that miRNAs might involve the process of pregnancy such as the generation of twin pregnancy, and it also suggested that the specific miRNAs could act as potential biomarkers for clinical diagnosis and therapy.

Microbial profiles of a drinking water resource based on different 16S rRNA V regions during a heavy cyanobacterial bloom in Lake Taihu, China.

Understanding of the bacterial community structure in drinking water resources helps to enhance the security of municipal water supplies. In this study, bacterial communities were surveyed in water and sediment during a heavy cyanobacterial bloom in a drinking water resource of Lake Taihu, China. A total of 325,317 high-quality sequences were obtained from different 16S ribosomal RNA (rRNA) regions (V3, V4, and V6) using the Miseq sequencing platform. A notable difference was shown between the water and sediment samples, as predominated by Cyanobacteria, Proteobacteria, and Actinobacteria in the water and Proteobacteria, Chloroflexi, and Verrucomicrobia in the sediment, respectively. The LD12 family dominated the water surface and was tightly associated with related indicators of cyanobacterial propagation, indicating involvement in the massive proliferation of cyanobacterial blooms. Alternatively, the genus Nitrospira dominated the sediment samples, which indicates that nitrite oxidation was very active in the sediment. Although pathogenic bacteria were not detected in a large amount, some genera such as Mycobacterium, Acinetobacter, and Legionella were still identified but in very low abundance. In addition, the effects of different V regions on bacterial diversity survey were evaluated. Overall, V4 and V3 were proven to be more promising V regions for bacterial diversity survey in water and sediment samples during heavy water blooms in Lake Taihu, respectively. As longer, cheaper, and faster DNA sequencing technologies become more accessible, we expect that bacterial community structures based on 16S rRNA amplicons as an indicator could be used alongside with physical and chemical indicators, to conduct comprehensive assessments for drinking water resource management.

Identification of methylated regions with peak search based on Poisson model from massively parallel methylated DNA immunoprecipitation-sequencing data.

DNA methylation is one of the most important epigenetic modification types, which plays a critical role in gene expression. High efficient surveying of whole genome DNA methylation has been aims of many researchers for long. Recently, the rapidly developed massively parallel DNA‐sequencing technologies open the floodgates to vast volumes of sequence data, enabling a paradigm shift in profiling the whole genome methylation. Here, we describe a strategy, combining methylated DNA immunoprecipitation sequencing with peak search to identify methylated regions on a whole‐genome scale. Massively parallel methylated DNA immunoprecipitation sequencing combined with methylation DNA immunoprecipitation was adopted to obtain methylated DNA sequence data from human leukemia cell line K562, and the methylated regions were identified by peak search based on Poison model. From our result, 140 958 non‐overlapping methylated regions have been identified in the whole genome. Also, the credibility of result has been proved by its strong correlation with bisulfite‐sequencing data (Pearson R2=0.92). It suggests that this method provides a reliable and high‐throughput strategy for whole genome methylation identification.

Systematic Characteristic Exploration of the Chimeras Generated in Multiple Displacement Amplification through Next Generation Sequencing Data Reanalysis

Background The chimeric sequences produced by phi29 DNA polymerase, which are named as chimeras, influence the performance of the multiple displacement amplification (MDA) and also increase the difficulty of sequence data process. Despite several articles have reported the existence of chimeric sequence, there was only one research focusing on the structure and generation mechanism of chimeras, and it was merely based on hundreds of chimeras found in the sequence data of E. coli genome. Method We finished data mining towards a series of Next Generation Sequencing (NGS) reads which were used for whole genome haplotype assembling in a primary study. We established a bioinformatics pipeline based on subsection alignment strategy to discover all the chimeras inside and achieve their structural visualization. Then, we artificially defined two statistical indexes (the chimeric distance and the overlap length), and their regular abundance distribution helped illustrate of the structural characteristics of the chimeras. Finally we analyzed the relationship between the chimera type and the average insertion size, so that illustrate a method to decrease the proportion of wasted data in the procedure of DNA library construction. Results/Conclusion 131.4 Gb pair-end (PE) sequence data was reanalyzed for the chimeras. Totally, 40,259,438 read pairs (6.19%) with chimerism were discovered among 650,430,811 read pairs. The chimeric sequences are consisted of two or more parts which locate inconsecutively but adjacently on the chromosome. The chimeric distance between the locations of adjacent parts on the chromosome followed an approximate bimodal distribution ranging from 0 to over 5,000 nt, whose peak was at about 250 to 300 nt. The overlap length of adjacent parts followed an approximate Poisson distribution and revealed a peak at 6 nt. Moreover, unmapped chimeras, which were classified as the wasted data, could be reduced by properly increasing the length of the insertion segment size through a linear correlation analysis. Significance This study exhibited the profile of the phi29MDA chimeras by tens of millions of chimeric sequences, and helped understand the amplification mechanism of the phi29 DNA polymerase. Our work also illustrated the importance of NGS data reanalysis, not only for the improvement of data utilization efficiency, but also for more potential genomic information.

PDMS-based microfluidic devices using commoditized PCBs as masters with no specialized equipment required

Designed printed circuit boards (PCBs) are alternative substrates for master mold construction of microfluidic devices. However, the rough supportive material molds rough replicas and causes difficulty in device sealing. To overcome this difficulty, a copper layer is used to generate a smooth surface. Some other researchers have used thermoplastic elastomers, which are typically much easier to bond, instead of the general polymer polydimethysiloxane (PDMS). This study presents an extremely simple approach for fabricating PDMS-based microfluidic devices using PCBs as masters. Unlike those reported in the previous studies, commoditized PCBs fabricated at a common PCB manufactory were directly used as the master molds. Two layers of semi-cured silicone of a distinct base to curing agent ratios were bonded together by additional curing. Efficient bonding was accomplished and avoided insufficient adhesion due to the rough surfaces of the PDMS replicas. Highly monodisperse droplets with polydispersity values smaller than 1% were stably formed using the easy fabricated devices. Essential operations in droplet microfluidics were reliably conducted in the PDMS-based devices. Moreover, the droplets were orderly sorted by the microstructures in the fabricated multi-height devices. The fabrication process provided a simple, convenient and reliable approach to prepare the general polymer PDMS-based microfluidic devices with a minimal requirement for equipment.

A cell sorting and trapping microfluidic device with an interdigital channel

The growing interest in cell sorting and trapping is driving the demand for high performance technologies. Using labeling techniques or external forces, cells can be identified by a series of methods. However, all of these methods require complicated systems with expensive devices. Based on inherent differences in cellular morphology, cells can be sorted by specific structures in microfluidic devices. The weir filter is a basic and efficient cell sorting and trapping structure. However, in some existing weir devices, because of cell deformability and high flow velocity in gaps, trapped cells may become stuck or even pass through the gaps. Here, we designed and fabricated a microfluidic device with interdigital channels for cell sorting and trapping. The chip consisted of a sheet of silicone elastomer polydimethylsiloxane and a sheet of glass. A square-wave-like weir was designed in the middle of the channel, comprising the interdigital channels. The square-wave pattern extended the weir length by three ti...