67 research outputs found
Measuring Cation Dependent DNA Polymerase Fidelity Landscapes by Deep Sequencing
High-throughput recording of signals embedded within inaccessible micro-environments is a technological challenge. The ideal recording device would be a nanoscale machine capable of quantitatively transducing a wide range of variables into a molecular recording medium suitable for long-term storage and facile readout in the form of digital data. We have recently proposed such a device, in which cation concentrations modulate the misincorporation rate of a DNA polymerase (DNAP) on a known template, allowing DNA sequences to encode information about the local cation concentration. In this work we quantify the cation sensitivity of DNAP misincorporation rates, making possible the indirect readout of cation concentration by DNA sequencing. Using multiplexed deep sequencing, we quantify the misincorporation properties of two DNA polymerases – Dpo4 and Klenow exo[subscript −] – obtaining the probability and base selectivity of misincorporation at all positions within the template. We find that Dpo4 acts as a DNA recording device for Mn[superscript 2+] with a misincorporation rate gain of ~2%/mM. This modulation of misincorporation rate is selective to the template base: the probability of misincorporation on template T by Dpo4 increases >50-fold over the range tested, while the other template bases are affected less strongly. Furthermore, cation concentrations act as scaling factors for misincorporation: on a given template base, Mn[superscript 2+] and Mg[superscript 2+] change the overall misincorporation rate but do not alter the relative frequencies of incoming misincorporated nucleotides. Characterization of the ion dependence of DNAP misincorporation serves as the first step towards repurposing it as a molecular recording device.Damon Runyon Cancer Research FoundationNational Institutes of Health (U.S.)National Science Foundation (U.S.)McGovern Institute for Brain Research at MITMassachusetts Institute of Technology. Media LaboratoryNew York Stem Cell Foundation (Robertson Neuroscience Investigator Award)Paul G. Allen Family Foundation (Distinguished Investigator in Neuroscience Award
Puzzle Imaging: Using Large-Scale Dimensionality Reduction Algorithms for Localization
Current high-resolution imaging techniques require an intact sample that preserves spatial relationships. We here present a novel approach, “puzzle imaging,” that allows imaging a spatially scrambled sample. This technique takes many spatially disordered samples, and then pieces them back together using local properties embedded within the sample. We show that puzzle imaging can efficiently produce high-resolution images using dimensionality reduction algorithms. We demonstrate the theoretical capabilities of puzzle imaging in three biological scenarios, showing that (1) relatively precise 3-dimensional brain imaging is possible; (2) the physical structure of a neural network can often be recovered based only on the neural connectivity matrix; and (3) a chemical map could be reproduced using bacteria with chemosensitive DNA and conjugative transfer. The ability to reconstruct scrambled images promises to enable imaging based on DNA sequencing of homogenized tissue samples
Optogenetics: Molecular and Optical Tools for Controlling Life with Light
Optogenetic tools are genetically-encoded reagents that, when targeted to specific brain cells, enable their activity to be controlled by light. These tools are having broad impact on science, and may serve clinical roles as well. 150-word Biography: Ed Boyden is Associate Professor of Biological Engineering and Brain and Cognitive Sciences, at the MIT Media Lab and the MIT McGovern Institute. He leads the Synthetic Neurobiology Group, which develops tools for analyzing and engineering the circuits of the brain. These technologies, created often in interdisciplinary collaborations, include 'optogenetic' tools, which enable the activation and silencing of neural circuit elements with light, 3-D microfabricated neural interfaces, and robotic methods for performing single-cell analyses in living brain. He has received the NIH Director's New Innovator Award, the Society for Neuroscience Research Award for Innovation in Neuroscience, the Paul Allen Distinguished Investigator Award, the Perl/UNC prize, the A. F. Harvey Prize, the Grete Lundbeck “Brain” Prize, amongst other recognitions. He has contributed to over 300 peer-reviewed papers, current or pending patents, and articles, and has given over 200 invited talks on his work
Statistical Analysis of Molecular Signal Recording
A molecular device that records time-varying signals would enable new approaches in neuroscience. We have recently proposed such a device, termed a “molecular ticker tape”, in which an engineered DNA polymerase (DNAP) writes time-varying signals into DNA in the form of nucleotide misincorporation patterns. Here, we define a theoretical framework quantifying the expected capabilities of molecular ticker tapes as a function of experimental parameters. We present a decoding algorithm for estimating time-dependent input signals, and DNAP kinetic parameters, directly from misincorporation rates as determined by sequencing. We explore the requirements for accurate signal decoding, particularly the constraints on (1) the polymerase biochemical parameters, and (2) the amplitude, temporal resolution, and duration of the time-varying input signals. Our results suggest that molecular recording devices with kinetic properties similar to natural polymerases could be used to perform experiments in which neural activity is compared across several experimental conditions, and that devices engineered by combining favorable biochemical properties from multiple known polymerases could potentially measure faster phenomena such as slow synchronization of neuronal oscillations. Sophisticated engineering of DNAPs is likely required to achieve molecular recording of neuronal activity with single-spike temporal resolution over experimentally relevant timescales.United States. Defense Advanced Research Projects Agency. Living Foundries ProgramGoogle (Firm)New York Stem Cell Foundation. Robertson Neuroscience Investigator AwardNational Institutes of Health (U.S.) (EUREKA Award 1R01NS075421)National Institutes of Health (U.S.) (Transformative R01 1R01GM104948)National Institutes of Health (U.S.) (Single Cell Grant 1 R01 EY023173)National Institutes of Health (U.S.) (Grant 1R01DA029639)National Institutes of Health (U.S.) (Grant 1R01NS067199)National Science Foundation (U.S.) (CAREER Award CBET 1053233)National Science Foundation (U.S.) (Grant EFRI0835878)National Science Foundation (U.S.) (Grant DMS1042134)Paul G. Allen Family Foundation (Distinguished Investigator in Neuroscience Award
Spatial information in large-scale neural recordings
To record from a given neuron, a recording technology must be able to separate the activity of that neuron from the activity of its neighbors. Here, we develop a Fisher information based framework to determine the conditions under which this is feasible for a given technology. This framework combines measurable point spread functions with measurable noise distributions to produce theoretical bounds on the precision with which a recording technology can localize neural activities. If there is sufficient information to uniquely localize neural activities, then a technology will, from an information theoretic perspective, be able to record from these neurons. We (1) describe this framework, and (2) demonstrate its application in model experiments. This method generalizes to many recording devices that resolve objects in space and should be useful in the design of next-generation scalable neural recording systems
Physical principles for scalable neural recording
Simultaneously measuring the activities of all neurons in a mammalian brain at millisecond resolution is a challenge beyond the limits of existing techniques in neuroscience. Entirely new approaches may be required, motivating an analysis of the fundamental physical constraints on the problem. We outline the physical principles governing brain activity mapping using optical, electrical, magnetic resonance, and molecular modalities of neural recording. Focusing on the mouse brain, we analyze the scalability of each method, concentrating on the limitations imposed by spatiotemporal resolution, energy dissipation, and volume displacement. Based on this analysis, all existing approaches require orders of magnitude improvement in key parameters. Electrical recording is limited by the low multiplexing capacity of electrodes and their lack of intrinsic spatial resolution, optical methods are constrained by the scattering of visible light in brain tissue, magnetic resonance is hindered by the diffusion and relaxation timescales of water protons, and the implementation of molecular recording is complicated by the stochastic kinetics of enzymes. Understanding the physical limits of brain activity mapping may provide insight into opportunities for novel solutions. For example, unconventional methods for delivering electrodes may enable unprecedented numbers of recording sites, embedded optical devices could allow optical detectors to be placed within a few scattering lengths of the measured neurons, and new classes of molecularly engineered sensors might obviate cumbersome hardware architectures. We also study the physics of powering and communicating with microscale devices embedded in brain tissue and find that, while radio-frequency electromagnetic data transmission suffers from a severe power–bandwidth tradeoff, communication via infrared light or ultrasound may allow high data rates due to the possibility of spatial multiplexing. The use of embedded local recording and wireless data transmission would only be viable, however, given major improvements to the power efficiency of microelectronic devices
Physical principles for scalable neural recoding
Simultaneously measuring the activities of all neurons in a mammalian brain at millisecond resolution is a challenge beyond the limits of existing techniques in neuroscience. Entirely new approaches may be required, motivating an analysis of the fundamental physical constraints on the problem. We outline the physical principles governing brain activity mapping using optical, electrical, magnetic resonance, and molecular modalities of neural recording. Focusing on the mouse brain, we analyze the scalability of each method, concentrating on the limitations imposed by spatiotemporal resolution, energy dissipation, and volume displacement. Based on this analysis, all existing approaches require orders of magnitude improvement in key parameters. Electrical recording is limited by the low multiplexing capacity of electrodes and their lack of intrinsic spatial resolution, optical methods are constrained by the scattering of visible light in brain tissue, magnetic resonance is hindered by the diffusion and relaxation timescales of water protons, and the implementation of molecular recording is complicated by the stochastic kinetics of enzymes. Understanding the physical limits of brain activity mapping may provide insight into opportunities for novel solutions. For example, unconventional methods for delivering electrodes may enable unprecedented numbers of recording sites, embedded optical devices could allow optical detectors to be placed within a few scattering lengths of the measured neurons, and new classes of molecularly engineered sensors might obviate cumbersome hardware architectures. We also study the physics of powering and communicating with microscale devices embedded in brain tissue and find that, while radio-frequency electromagnetic data transmission suffers from a severe power–bandwidth tradeoff, communication via infrared light or ultrasound may allow high data rates due to the possibility of spatial multiplexing. The use of embedded local recording and wireless data transmission would only be viable, however, given major improvements to the power efficiency of microelectronic devices
Nanotools for Neuroscience and Brain Activity Mapping
Neuroscience is at a crossroads. Great effort is being invested into deciphering specific neural interactions and circuits. At the same time, there exist few general theories or principles that explain brain function. We attribute this disparity, in part, to limitations in current methodologies. Traditional neurophysiological approaches record the activities of one neuron or a few neurons at a time. Neurochemical approaches focus on single neurotransmitters. Yet, there is an increasing realization that neural circuits operate at emergent levels, where the interactions between hundreds or thousands of neurons, utilizing multiple chemical transmitters, generate functional states. Brains function at the nanoscale, so tools to study brains must ultimately operate at this scale, as well. Nanoscience and nanotechnology are poised to provide a rich toolkit of novel methods to explore brain function by enabling simultaneous measurement and manipulation of activity of thousands or even millions of neurons. We and others refer to this goal as the Brain Activity Mapping Project. In this Nano Focus, we discuss how recent developments in nanoscale analysis tools and in the design and synthesis of nanomaterials have generated optical, electrical, and chemical methods that can readily be adapted for use in neuroscience. These approaches represent exciting areas of technical development and research. Moreover, unique opportunities exist for nanoscientists, nanotechnologists, and other physical scientists and engineers to contribute to tackling the challenging problems involved in understanding the fundamentals of brain function
MOTIVATIONAL FACTORS OF UNDERGRADUATE STUDENTS\u27 INVOLVEMENT IN DECISION-MAKING AND SOCIAL ORGANIZATIONS.
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Single Molecule and Synthetic Biology Studies of Transcription
The horizons of biology are ever expanding, from the discernment of the detailed mechanisms of enzyme function, to the manipulation of the physiological processes of whole organisms and ecosystems. Single molecule studies allow for the characterization of the individual processes that comprise an enzyme's mechanochemical cycle. Through standardization and generalization of biological techniques, components, and knowledge, synthetic biology seeks to expand the scale of biological experiments and to usher in an age of biology as a true engineering science, in which those studying different hierarchical levels of sophistication need not start from the fundamental biochemical principles underlying all biological experiments. Here we report our findings on the processes governing transcription and its role in gene expression through the use of both single molecule and synthetic biology methods.We have established a promoter-free, factor-free method of initiation of transcription by the mitochondrial RNA polymerase in Saccharomyces cerevisiae, Rpo41 through the use of synthetic oligonucleotides to imitate the hybridization geometry of Rpo41 during active transcription. Using this system, we have established that a sub-micromolar NTP concentration is appropriate for non-saturating transcriptional runoff assays. We have optimized the transcription buffer and found that 10 mM MgCl2, 40 mM KCl, and 10 mM DTT are sufficient for robust transcription. Stability studies show that Rpo41 loses approximately 30% of its activity during each freeze-thaw cycle, and that the pre-formed elongation complex loses transcriptional activity with a half-life of 7.4±1.5 hr.Through the use of optical trapping techniques, we have established a method to monitor the transcription of individual Rpo41 molecules in real time. This has allowed us to measure the kinetic rates of nucleotide incorporation by the enzyme: Km = 22±13 µM-1 and vmax = 25±2.5 bp/s. Both of these rates are more similar to those of the main nuclear RNA polymerase in the same organism, RNA Polymerase II (Pol II) than to that of the T7 RNA polymerase, despite the fact that Rpo41 is a single-subunit RNA polymerase with homology to those of the T-odd bacteriophage and no discernable homology to Pol II. Furthermore, like Pol II and the E. coli RNA polymerase, transcription by Rpo41 consists of periods of processive transcription interspersed with periods of pausing. We have also observed retrograde motion of Rpo41 during pauses, termed backtracking, a process that has not been reported in phage-like RNA polymerases.We have performed single molecule assays of transcription by both Pol II and Rpo41 on templates of differing base pair composition and found that, in general, the characteristics of pausing are attenuated in templates of higher GC content. Specifically, the frequency of pausing is decreased in GC-rich templates, as is the average pause duration. The distribution of pause durations is correspondingly shifted to shorter pauses on GC-rich templates.We discuss two mechanisms by which template composition may affect pausing: (1) movement of the backtracked transcription bubble is affected by differences in the base stacking energies from the disrupted/created DNA/DNA and RNA/DNA base pairs at the ends of the bubble, and (2) secondary structure of the nascent RNA upstream of the backtracked transcription bubble imposes an energetic barrier to its backward movement. We give in silico evidence that it is the latter mechanism. Incorporation of this secondary structure energy barrier (an "energy penalty") into a model of transcriptional pausing by backtracking allows for statistical fits of the mean pause densities, mean pause durations, and the distribution of pause durations for each enzyme on each template. Furthermore, incorporation of the energy penalty allows for fitting of the pause characteristics for a given enzyme using a single, enzyme specific hopping rate, k0, that is independent of template, and a single, template dependent energy penalty term, ΔGRNA, which is enzyme independent. For Rpo41, we find that k0, the hopping rate of the backtracked enzyme along DNA without RNA secondary structure, is 5.4±1.8 s-1, while it is 2.9±0.3 s-1 for Pol II. Furthermore, the average energy penalty due to the nascent RNA, ΔGRNA, on the AT-rich template used in this study is 0.7±0.1 kT, while it is 0.8±0.1 kT for random DNA and 1.0±0.1 kT for GC-rich DNA.In order to confirm that it is the secondary structure of the RNA that is the cause of the energy penalty, we performed the same single-molecule transcription assays in the presence of RNase A, an enzyme that digests unprotected RNA in both single-stranded and double-stranded form. The pausing characteristics of all traces on all templates in the presence of RNase A are statistically indistinguishable from those on AT-rich DNA without RNase, indicating that the RNase digested enough of the nascent RNA to disrupt any secondary structure. Protection of the 5' region of the nascent RNA by steric interactions between the polymerase and the RNase prevented full degradation of the RNA, and thus allowed for some backtracking. This strongly supports the new model, presented here, of modulation of transcriptional pausing by secondary structure of the nascent RNA.In contrast to the detailed and isolated nature of single-molecule transcription, we also performed a synthetic biology project involving Rpo41. The intent of this project was to investigate the plausibility of the creation of a transcriptionally independent mitochondrion, and by extension a minimal cell, by movement of the mitochondrial transcriptional machinery from the nuclear to the mitochondrial genome. Thus we performed in vivo mitochondrial transformation of yeast cells with a synthetic construct containing the gene encoding for Rpo41. We report that we have successfully integrated said synthetic gene into the mitochondrial genome, and have seen its expression to the transcriptional level. Furthermore, we are fairly confident that the full, intact mRNA of the synthetic gene is being created within the mitochondrial matrix.We have not been able to detect expression of the protein product of the integrated synthetic construct, nor have we been able to isolate a strain that exhibits its expression in the absence of the wild-type, nuclear copy. Because the length of Rpo41 is longer than any other protein synthesized within the mitochondrial organelle, we have begun experiments to determine the maximal polypeptide length able to be translated by the mitochondrial ribosome and associated cofactors
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