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.

[1]  C. Croce,et al.  MicroRNA gene expression deregulation in human breast cancer. , 2005, Cancer research.

[2]  Robert A. Weinberg,et al.  A Pleiotropically Acting MicroRNA, miR-31, Inhibits Breast Cancer Metastasis , 2009 .

[3]  R. Stallings,et al.  MicroRNA-34a functions as a potential tumor suppressor by inducing apoptosis in neuroblastoma cells , 2007, Oncogene.

[4]  Haijun Yu,et al.  MicroRNA-19 (miR-19) Regulates Tissue Factor Expression in Breast Cancer Cells* , 2010, The Journal of Biological Chemistry.

[5]  U. Stenzel,et al.  Targeted high-throughput sequencing of tagged nucleic acid samples , 2007, Nucleic acids research.

[6]  Shuomin Zhu,et al.  miR-21-mediated tumor growth , 2007, Oncogene.

[7]  Sven Rahmann,et al.  Deep sequencing reveals differential expression of microRNAs in favorable versus unfavorable neuroblastoma , 2010, Nucleic acids research.

[8]  Juan M. Vaquerizas,et al.  Multiplexed massively parallel SELEX for characterization of human transcription factor binding specificities. , 2010, Genome research.

[9]  G. Giaever,et al.  Quantitative Phenotyping via Deep Barcode Sequencing , 2022 .

[10]  Gabor T. Marth,et al.  Rapid whole-genome mutational profiling using next-generation sequencing technologies. , 2008, Genome research.

[11]  A. Hui,et al.  MiR-218 suppresses nasopharyngeal cancer progression through downregulation of survivin and the SLIT2-ROBO1 pathway. , 2011, Cancer research.

[12]  S. Le,et al.  Aberrant Expression of Oncogenic and Tumor-Suppressive MicroRNAs in Cervical Cancer Is Required for Cancer Cell Growth , 2008, PloS one.

[13]  Stephen Safe,et al.  The oncogenic microRNA-27a targets genes that regulate specificity protein transcription factors and the G2-M checkpoint in MDA-MB-231 breast cancer cells. , 2007, Cancer research.

[14]  Robert P. St.Onge,et al.  Highly-multiplexed barcode sequencing: an efficient method for parallel analysis of pooled samples , 2010, Nucleic acids research.

[15]  S. Schuster Next-generation sequencing transforms today's biology , 2008, Nature Methods.

[16]  A. Neri,et al.  Pleiotropic anti-myeloma activity of ITF2357: inhibition of interleukin-6 receptor signaling and repression of miR-19a and miR-19b , 2010, Haematologica.

[17]  A. Lal,et al.  MicroRNAs and their target gene networks in breast cancer , 2010, Breast Cancer Research.

[18]  H. Hollema,et al.  Expression of miR-21 and its targets (PTEN, PDCD4, TM1) in flat epithelial atypia of the breast in relation to ductal carcinoma in situ and invasive carcinoma , 2009, BMC Cancer.

[19]  Y. Mizuguchi,et al.  MicroRNA (miRNA) cloning analysis reveals sex differences in miRNA expression profiles between adult mouse testis and ovary. , 2008, Reproduction.

[20]  M. Mildner,et al.  miR-17, miR-19b, miR-20a, and miR-106a are down-regulated in human aging , 2010, Aging cell.

[21]  Y. Pilpel,et al.  p53-independent upregulation of miR-34a during oncogene-induced senescence represses MYC , 2010, Cell Death and Differentiation.

[22]  C. Croce Causes and consequences of microRNA dysregulation in cancer , 2009, Nature Reviews Genetics.

[23]  C. Croce,et al.  microRNA-205 regulates HER3 in human breast cancer. , 2009, Cancer research.

[24]  R. Gutzmer,et al.  MicroRNA‐15b represents an independent prognostic parameter and is correlated with tumor cell proliferation and apoptosis in malignant melanoma , 2010, International journal of cancer.

[25]  B. Tannous,et al.  miR-101 is down-regulated in glioblastoma resulting in EZH2-induced proliferation, migration, and angiogenesis , 2010, Oncotarget.

[26]  David G. Mutch,et al.  Intra-tumor heterogeneity of MLH1 promoter methylation revealed by deep single molecule bisulfite sequencing , 2009, Nucleic acids research.

[27]  A. Vogler,et al.  Why barcode? High-throughput multiplex sequencing of mitochondrial genomes for molecular systematics , 2010, Nucleic acids research.

[28]  T. Mockler,et al.  Multiplex sequencing of plant chloroplast genomes using Solexa sequencing-by-synthesis technology , 2008, Nucleic acids research.

[29]  Amy E. Hawkins,et al.  DNA sequencing of a cytogenetically normal acute myeloid leukemia genome , 2008, Nature.

[30]  B. Trink,et al.  Phospho-ΔNp63α is a key regulator of the cisplatin-induced microRNAome in cancer cells , 2011, Cell Death and Differentiation.

[31]  F. Slack,et al.  RAS Is Regulated by the let-7 MicroRNA Family , 2005, Cell.

[32]  Robi David Mitra,et al.  Nested Patch PCR enables highly multiplexed mutation discovery in candidate genes. , 2008, Genome research.

[33]  M. Ronaghi,et al.  A pyrosequencing-tailored nucleotide barcode design unveils opportunities for large-scale sample multiplexing , 2007, Nucleic acids research.

[34]  Leonard D. Goldstein,et al.  MicroRNA expression profiling of human breast cancer identifies new markers of tumor subtype , 2007, Genome Biology.

[35]  A. Jemal,et al.  Cancer Statistics, 2008 , 2008, CA: a cancer journal for clinicians.

[36]  Terry Hyslop,et al.  A cyclin D1/microRNA 17/20 regulatory feedback loop in control of breast cancer cell proliferation , 2008, The Journal of cell biology.