William F. Burkholder
Agency for Science, Technology and Research
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Featured researches published by William F. Burkholder.
Science | 2013
Chanchao Lorthongpanich; Lih Feng Cheow; Sathish Balu; Stephen R. Quake; Barbara B. Knowles; William F. Burkholder; Davor Solter; Daniel M. Messerschmidt
Fatal Chimeras Impaired DNA-methylation maintenance during early embryonic development may cause imprinting-related diseases. Lorthongpanich et al. (p. 1110) have devised a sensitive assay to probe multiple imprinted gene loci for their DNA-methylation state at the single-cell level. Blastomeres with defective imprinting showed complex, epigenetic chimeras developed with fatal defects. Pronuclear transfer restored normal mouse development, offering a therapeutic strategy to overcome epigenetic defects caused by maternal insufficiencies. Lethal epigenetic chimerism can be rescued by transfer of pronuclei. Epigenetic alterations are increasingly recognized as causes of human cancers and disease. These aberrations are likely to arise during genomic reprogramming in mammalian preimplantation embryos, when their epigenomes are most vulnerable. However, this process is only partially understood because of the experimental inaccessibility of early-stage embryos. Here, we introduce a methodologic advance, probing single cells for various DNA-methylation errors at multiple loci, to reveal failed maintenance of epigenetic mark results in chimeric mice, which display unpredictable phenotypes leading to developmental arrest. Yet we show that mouse pronuclear transfer can be used to ameliorate such reprogramming defects. This study not only details the epigenetic reprogramming dynamics in early mammalian embryos but also suggests diagnostic and potential future therapeutic applications.
Nature Methods | 2016
Lih Feng Cheow; Elise T. Courtois; Yuliana Tan; Ramya Viswanathan; Qiaorui Xing; Rui Zhen Tan; Daniel S W Tan; Paul Robson; Yuin-Han Loh; Stephen R. Quake; William F. Burkholder
Sample heterogeneity often masks DNA methylation signatures in subpopulations of cells. Here, we present a method to genotype single cells while simultaneously interrogating gene expression and DNA methylation at multiple loci. We used this targeted multimodal approach, implemented on an automated, high-throughput microfluidic platform, to assess primary lung adenocarcinomas and human fibroblasts undergoing reprogramming by profiling epigenetic variation among cell types identified through genotyping and transcriptional analysis.
Nature Protocols | 2015
Lih Feng Cheow; Stephen R. Quake; William F. Burkholder; Daniel M. Messerschmidt
This protocol details a method for measuring the DNA methylation state of multiple target sites in single cells, otherwise known as single-cell restriction analysis of methylation (SCRAM). The basic steps include isolating and lysing single cells, digesting genomic DNA with a methylation-sensitive restriction endonuclease (MSRE) and amplification of multiple targets by two rounds of PCR to determine the methylation status of target sites. The method can reliably and accurately detect the methylation status of multiple target sites in each single cell, and it can be completed in a relatively short time (<2 d) at low cost. Consequently, the method may be preferable over whole-genome methods in applications requiring highly reliable and cost-effective coverage of specific target sites in all cells from a sample and in cases when the DNA methylation states of single CpG sites are representative of the methylation status of corresponding regions of interest.
PLOS ONE | 2013
Swee Jin Tan; Huan Phan; Benjamin Michael Gerry; Alexandre Kuhn; Lewis Z. Hong; Yao Min Ong; Polly Suk Yean Poon; Marc Unger; Robert C. Jones; Stephen R. Quake; William F. Burkholder
Library preparation for next-generation DNA sequencing (NGS) remains a key bottleneck in the sequencing process which can be relieved through improved automation and miniaturization. We describe a microfluidic device for automating laboratory protocols that require one or more column chromatography steps and demonstrate its utility for preparing Next Generation sequencing libraries for the Illumina and Ion Torrent platforms. Sixteen different libraries can be generated simultaneously with significantly reduced reagent cost and hands-on time compared to manual library preparation. Using an appropriate column matrix and buffers, size selection can be performed on-chip following end-repair, dA tailing, and linker ligation, so that the libraries eluted from the chip are ready for sequencing. The core architecture of the device ensures uniform, reproducible column packing without user supervision and accommodates multiple routine protocol steps in any sequence, such as reagent mixing and incubation; column packing, loading, washing, elution, and regeneration; capture of eluted material for use as a substrate in a later step of the protocol; and removal of one column matrix so that two or more column matrices with different functional properties can be used in the same protocol. The microfluidic device is mounted on a plastic carrier so that reagents and products can be aliquoted and recovered using standard pipettors and liquid handling robots. The carrier-mounted device is operated using a benchtop controller that seals and operates the device with programmable temperature control, eliminating any requirement for the user to manually attach tubing or connectors. In addition to NGS library preparation, the device and controller are suitable for automating other time-consuming and error-prone laboratory protocols requiring column chromatography steps, such as chromatin immunoprecipitation.
Analytical Chemistry | 2014
Lih Feng Cheow; Ramya Viswanathan; Chee-Sing Chin; Nancy Jennifer; Robert C. Jones; Ernesto Guccione; Stephen R. Quake; William F. Burkholder
Homogeneous assay platforms for measuring protein-ligand interactions are highly valued due to their potential for high-throughput screening. However, the implementation of these multiplexed assays in conventional microplate formats is considerably expensive due to the large amounts of reagents required and the need for automation. We implemented a homogeneous fluorescence anisotropy-based binding assay in an automated microfluidic chip to simultaneously interrogate >2300 pairwise interactions. We demonstrated the utility of this platform in determining the binding affinities between chromatin-regulatory proteins and different post-translationally modified histone peptides. The microfluidic chip assay produces comparable results to conventional microtiter plate assays, yet requires 2 orders of magnitude less sample and an order of magnitude fewer pipetting steps. This approach enables one to use small samples for medium-scale screening and could ease the bottleneck of large-scale protein purification.
Proceedings of the National Academy of Sciences of the United States of America | 2014
Alexandre Kuhn; Yao Min Ong; Ching-Yu Cheng; Tien Yin Wong; Stephen R. Quake; William F. Burkholder
Significance LINE-1 (L1) retrotransposons have been shown to mediate various regulatory effects and can affect the transcription of neighboring genes. Thus, novel insertions can potentially result in phenotypic differences that, in turn, could be acted on by selection. We found that a standard Illumina SNP array did not efficiently capture L1s, so that their phenotypic effects might have been missed by previous genome-wide association studies. However, we also found that using whole genome sequencing data, tag SNPs can be identified for a majority of L1s, which opens the way for SNP-based genetic association studies of L1 effects. Moreover, we detected common and unusually long haplotypes around several L1s, which suggests that these insertions might have undergone recent, positive selection in humans. Insertions of the human-specific subfamily of LINE-1 (L1) retrotransposon are highly polymorphic across individuals and can critically influence the human transcriptome. We hypothesized that L1 insertions could represent genetic variants determining important human phenotypic traits, and performed an integrated analysis of L1 elements and single nucleotide polymorphisms (SNPs) in several human populations. We found that a large fraction of L1s were in high linkage disequilibrium with their surrounding genomic regions and that they were well tagged by SNPs. However, L1 variants were only partially captured by SNPs on standard SNP arrays, so that their potential phenotypic impact would be frequently missed by SNP array-based genome-wide association studies. We next identified potential phenotypic effects of L1s by looking for signatures of natural selection linked to L1 insertions; significant extended haplotype homozygosity was detected around several L1 insertions. This finding suggests that some of these L1 insertions may have been the target of recent positive selection.
PLOS ONE | 2013
Swee Jin Tan; Michelle Z. L. Kee; Ajay S. Mathuru; William F. Burkholder; Suresh Jesuthasan
Single cell techniques permit the analysis of cellular properties that are obscured by studying the average behavior of cell populations. One way to determine how gene expression contributes to phenotypic differences among cells is to combine functional analysis with transcriptional profiling of single cells. Here we describe a microfluidic device for monitoring the responses of single cells to a ligand and then collecting cells of interest for transcriptional profiling or other assays. As a test, cells from the olfactory epithelium of zebrafish were screened by calcium imaging to identify sensory neurons that were responsive to the odorant L-lysine. Single cells were subsequently recovered for transcriptional profiling by qRT-PCR. Responsive cells all expressed TRPC2 but not OMP, consistent with known properties of amino-acid sensitive olfactory neurons. The device can be adapted for other areas in biology where there is a need to sort and analyze cells based on their signaling responses.
Archive | 2017
Ka Yi Ling; Lih Feng Cheow; Stephen R. Quake; William F. Burkholder; Daniel M. Messerschmidt
The methylation of cytosines in DNA is a fundamental epigenetic regulatory mechanism. During preimplantation development, mammalian embryos undergo extensive epigenetic reprogramming, including the global erasure of germ cell-specific DNA methylation marks, to allow for the establishment of the pluripotent state of the epiblast. However, DNA methylation marks at specific regions, such as imprinted gene regions, escape this reprogramming process, as their inheritance from germline to soma is paramount for proper development. To study the dynamics of DNA methylation marks in single blastomeres of mouse preimplantation embryos, we devised a new approach-single cell restriction enzyme analysis of methylation (SCRAM). SCRAM allows for reliable, fast, and high-throughput analysis of DNA methylation states of multiple regions of interest from single cells. In the method described below, SCRAM is specifically used to address loss of DNA methylation at genomic imprints or other highly methylated regions of interest.
Frontiers in Immunology | 2017
William F. Burkholder; Evan W. Newell; Michael Poidinger; Swaine L. Chen; Katja Fink
The inaugural workshop “Deep Sequencing in Infectious Diseases: Immune and Pathogen Repertoires for the Improvement of Patient Outcomes” was held in Singapore on 13–14 October 2016. The aim of the workshop was to discuss the latest trends in using high-throughput sequencing, bioinformatics, and allied technologies to analyze immune and pathogen repertoires and their interplay within the host, bringing together key international players in the field and Singapore-based researchers and clinician-scientists. The focus was in particular on the application of these technologies for the improvement of patient diagnosis, prognosis and treatment, and for other broad public health outcomes. The presentations by scientists and clinicians showed the potential of deep sequencing technology to capture the coevolution of adaptive immunity and pathogens. For clinical applications, some key challenges remain, such as the long turnaround time and relatively high cost of deep sequencing for pathogen identification and characterization and the lack of international standardization in immune repertoire analysis.
BMC Genomics | 2017
Yuan O. Zhu; Pauline P. K. Aw; Paola Florez de Sessions; Shuzhen Hong; Lee Xian See; Lewis Z. Hong; Andreas Wilm; Chen Hao Li; Stéphane Hué; Seng Gee Lim; Niranjan Nagarajan; William F. Burkholder; Martin L. Hibberd
BackgroundViral populations are complex, dynamic, and fast evolving. The evolution of groups of closely related viruses in a competitive environment is termed quasispecies. To fully understand the role that quasispecies play in viral evolution, characterizing the trajectories of viral genotypes in an evolving population is the key. In particular, long-range haplotype information for thousands of individual viruses is critical; yet generating this information is non-trivial. Popular deep sequencing methods generate relatively short reads that do not preserve linkage information, while third generation sequencing methods have higher error rates that make detection of low frequency mutations a bioinformatics challenge. Here we applied BAsE-Seq, an Illumina-based single-virion sequencing technology, to eight samples from four chronic hepatitis B (CHB) patients – once before antiviral treatment and once after viral rebound due to resistance.ResultsWith single-virion sequencing, we obtained 248–8796 single-virion sequences per sample, which allowed us to find evidence for both hard and soft selective sweeps. We were able to reconstruct population demographic history that was independently verified by clinically collected data. We further verified four of the samples independently through PacBio SMRT and Illumina Pooled deep sequencing.ConclusionsOverall, we showed that single-virion sequencing yields insight into viral evolution and population dynamics in an efficient and high throughput manner. We believe that single-virion sequencing is widely applicable to the study of viral evolution in the context of drug resistance and host adaptation, allows differentiation between soft or hard selective sweeps, and may be useful in the reconstruction of intra-host viral population demographic history.