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ABSTRACT: RNA sequencing (RNA-Seq) is a powerful tool for transcriptome profiling, but is hampered by sequence-dependent bias and inaccuracy at low copy numbers intrinsic to exponential PCR amplification. We developed a simple strategy for mitigating these complications, allowing truly digital RNA-Seq. Following reverse transcription, a large set of barcode sequences is added in excess, and nearly every cDNA molecule is uniquely labeled by random attachment of barcode sequences to both ends. After PCR, we applied paired-end deep sequencing to read the two barcodes and cDNA sequences. Rather than counting the number of reads, RNA abundance is measured based on the number of unique barcode sequences observed for a given cDNA sequence. We optimized the barcodes to be unambiguously identifiable, even in the presence of multiple sequencing errors. This method allows counting with single-copy resolution despite sequence-dependent bias and PCR-amplification noise, and is analogous to digital PCR but amendable to quantifying a whole transcriptome. We demonstrated transcriptome profiling of Escherichia coli with more accurate and reproducible quantification than conventional RNA-Seq.
Proceedings of the National Academy of Sciences 01/2012; 109(4):1347-52. · 9.68 Impact Factor
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ABSTRACT: We developed a multiplex sequencing-by-synthesis method combining terminal phosphate-labeled fluorogenic nucleotides (TPLFNs) and resealable polydimethylsiloxane (PDMS) microreactors. In the presence of phosphatase, primer extension by DNA polymerase using nonfluorescent TPLFNs generates fluorophores, which are confined in the microreactors and detected. We immobilized primed DNA templates in the microreactors, then sequentially introduced one of the four identically labeled TPLFNs, sealed the microreactors and recorded a fluorescence image after template-directed primer extension. With cycle times of <10 min, we demonstrate 30 base reads with ∼99% raw accuracy. Our 'fluorogenic pyrosequencing' offers benefits of pyrosequencing, such as rapid turnaround, one-color detection and generation of native DNA, along with high detection sensitivity and simplicity of parallelization because simultaneous real-time monitoring of all microreactors is not required.
Nature Methods 06/2011; 8(7):575-80. · 19.28 Impact Factor
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ABSTRACT: We report a label-free assay for simultaneous optical manipulation and tracking of endogenous lipid droplets as actively transported cargoes in a living mammalian cell with sub-millisecond time resolution. Using an EM-CCD camera as a highly sensitive quadrant detector, we can detect steps of dynein- and kinesin-driven cargoes under known force loads. We can distinguish single and multiple motor-driven cargoes and show that the stall forces for inward and outward transported cargoes are similar. By combining the stall force observable with the ability to detect individual steps, we can characterize kinesin- and dynein-driven active transport in different force regimes.
ChemPhysChem 07/2009; 10(9-10):1511-6. · 3.41 Impact Factor
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ABSTRACT: The relationships among gene regulatory mechanisms in the malaria parasite Plasmodium falciparum throughout its asexual intraerythrocytic developmental cycle (IDC) remain poorly understood. To investigate the level and nature of transcriptional activity and its role in controlling gene expression during the IDC, we performed nuclear run-on on whole-transcriptome samples from time points throughout the IDC and found a peak in RNA polymerase II-dependent transcriptional activity related to both the number of nuclei per parasite and variable transcriptional activity per nucleus over time. These differential total transcriptional activity levels allowed the calculation of the absolute transcriptional activities of individual genes from gene-specific nuclear run-on hybridization data. For half of the genes analyzed, sense-strand transcriptional activity peaked at the same time point as total activity. The antisense strands of several genes were substantially transcribed. Comparison of the transcriptional activity of the sense strand of each gene to its steady-state RNA abundance across the time points assayed revealed both correlations and discrepancies, implying transcriptional and posttranscriptional regulation, respectively. Our results demonstrate that such comparisons can effectively indicate gene regulatory mechanisms in P. falciparum and suggest that genes with diverse transcriptional activity levels and patterns combine to produce total transcriptional activity levels tied to parasite development during the IDC.
Eukaryotic Cell 02/2009; 8(3):327-38. · 3.60 Impact Factor
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ABSTRACT: The study of cellular processes such as organelle transport often demands particle tracking with microsecond time-resolution and nanometer spatial precision, posing significant challenges to existing tracking methods. Here, we have developed a novel strategy for two-dimensional tracking of gold nanoparticles (GNPs) with 25 mus time resolution and approximately 1.5 nm spatial precision, by using a quadrant photodiode to record the positions of GNPs in an objective-type dark-field microscope. In combination with a feedback loop, this technique records long, high time-resolution and spatial precision trajectories of endocytosed GNPs transported by the molecular motors kinesin and dynein in a living cell. In the full range of organelle velocities (0-8 microm s(-1)), we clearly resolve the individual 8 nm steps of cargoes carried by kinesin, and the 8, 12, 16, 20, and 24 nm steps of those carried by dynein. These experiments yield new information about molecular motor stepping in living cells.
ChemPhysChem 05/2008; 9(5):707-12. · 3.41 Impact Factor
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ABSTRACT: We report the observation of individual steps taken by motor proteins in living cells by following movements of endocytic vesicles that contain quantum dots (QDs) with a fast camera. The brightness and photostability of quantum dots allow us to record motor displacement traces with 300 micros time resolution and 1.5 nm spatial precision. We observed individual 8 nm steps in active transport toward both the microtubule plus- and minus-ends, the directions of kinesin and dynein movements, respectively. In addition, we clearly resolved abrupt 16 nm steps in the plus-end direction and often consecutive 16 nm and occasional 24 nm steps in minus-end directed movements. This work demonstrates the ability of the QD assay to probe the operation of motor proteins at the molecular level in living cells under physiological conditions.
The Journal of Physical Chemistry B 01/2006; 109(51):24220-4. · 3.70 Impact Factor
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ABSTRACT: In several previous studies, we performed sensitivity analysis to gauge the relative importance of different atomic partial charges in determining protein-ligand binding. In this work, we gain further insights by decomposing these results into three contributions: desolvation, intramolecular interactions, and intermolecular interactions, again based on a Poisson continuum electrostatics model. Three protein kinase-inhibitor systems have been analyzed: CDK2-deschloroflavopiridol, PKA-PKI, and LCK-PP2. Although our results point out the importance of specific intermolecular interactions to the binding affinity, they also reveal the remarkable contributions from the solvent-mediated intramolecular interactions in some cases. Thus, it is necessary to look beyond analyzing protein-ligand interactions to understand protein-ligand recognition or to gain insights into designing ligands and proteins. In analyzing the contributions of the three components to the overall binding free energy, the PKA-PKI system with a much larger ligand was found to behave differently from the other two systems with smaller ligands. In the former case, the intermolecular interactions are very favorable, and together with the favorable solvent-mediated intramolecular interactions, they overcome the large desolvation penalties to give a favorable electrostatics contribution to the overall binding affinity. On the other hand, the other two systems with smaller ligands only present modest intermolecular interactions and they are not or are only barely sufficient to overcome the desolvation penalty even with the aid of the favorable intramolecular contributions. As a result, the binding affinity of these two systems do not or only barely benefit from electrostatics contributions.
Journal of Computational Chemistry 06/2005; 26(7):668-81. · 4.58 Impact Factor
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ABSTRACT: Examining the potential for electrostatic complementarity between a ligand and a receptor is a useful technique for rational drug design, and can demonstrate how a system prioritizes interactions when allowed to optimize its charge distribution. In this computational study, we implemented the previously developed, continuum solvent-based charge optimization theory with a simple, quadratic programming algorithm and the UHBD Poisson-Boltzmann solver. This method allows one to compute the best set of point charges for a ligand or ligand region based on the ligand and receptor shape, and the receptor partial charges, by optimizing the binding free energy obtained from a continuum-solvent model. We applied charge optimization to a fragment of the heat-stable protein kinase inhibitor (PKI) of protein kinase A (PKA), to three flavopiridol inhibitors of CDK2, and to cyclin A which interacts with CDK2 to regulate the cell cycle. We found that a combination of global (involving every charge) and local (involving only charges in a local region) optimization can give useful hints for designing better inhibitors. Although some parts of an inhibitor may already contribute significantly to binding, we found that they could still be the most important targets for modifications to obtain stronger binders. In studying the binding of flavopiridol inhibitors to CDK2, comparable binding affinity could be obtained regardless of whether the net charges of the inhibitors were constrained to -2, -1, 0, 1, or 2 during the optimization. This provides flexibility in inhibitor design when a certain net charge of the inhibitor is desired in addition to strong binding affinity. For the study of the PKA-PKI and CDK2-cyclin A interfaces, we identified residues whose charge distributions are already close to optimal and those whose charge distributions could be refined to further improve binding.
Journal of Computational Chemistry 09/2004; 25(11):1416-29. · 4.58 Impact Factor
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ABSTRACT: The cyclin-dependent protein kinases are important targets in drug discovery because of their role in cell cycle regulation. In this computational study, we have applied a continuum solvent model to study the interactions between cyclin-dependent kinase 2 (CDK2) and analogues of the clinically tested anticancer agent flavopiridol. The continuum solvent model uses Coulomb's law to account for direct electrostatic interactions, solves the Poisson equation to obtain the electrostatic contributions to solvation energy, and calculates scaled solvent-accessible surface area to account for hydrophobic interactions. The computed free energy of binding gauges the strength of protein-ligand interactions. Our model was first validated through a study on the binding of a number of flavopiridol derivatives to CDK2, and its ability to identify potent inhibitors was observed. The model was then used to aid in the design of novel CDK2 inhibitors with the aid of a computational sensitivity analysis. Some of these hypothetical structures could be significantly more potent than the lead compound flavopiridol. We applied two approaches to gain insights into designing selective inhibitors. One relied on the comparative analysis of the binding pocket for several hundred protein kinases to identify the parts of a lead compound whose modifications might lead to selective compounds. The other was based on building and using homology models for energy calculations. The homology models appear to be able to classify ligand potency into groups but cannot yet give reliable quantitative results.
Journal of Medicinal Chemistry 08/2003; 46(15):3314-25. · 5.25 Impact Factor
