Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Eran A. Mukamel is active.

Publication


Featured researches published by Eran A. Mukamel.


Science | 2013

Global Epigenomic Reconfiguration During Mammalian Brain Development

Ryan Lister; Eran A. Mukamel; Joseph R. Nery; Mark A. Urich; Clare A. Puddifoot; Nicholas D. Johnson; Jacinta Lucero; Yun Huang; Andrew J. Dwork; Matthew D. Schultz; Miao Yu; Julian Tonti-Filippini; Holger Heyn; Shijun Hu; Joseph C. Wu; Anjana Rao; Manel Esteller; Chuan He; Fatemeh Haghighi; Terrence J. Sejnowski; M. Margarita Behrens; Joseph R. Ecker

Introduction Several lines of evidence point to a key role for dynamic epigenetic changes during brain development, maturation, and learning. DNA methylation (mC) is a stable covalent modification that persists in post-mitotic cells throughout their lifetime, defining their cellular identity. However, the methylation status at each of the ~1 billion cytosines in the genome is potentially an information-rich and flexible substrate for epigenetic modification that can be altered by cellular activity. Indeed, changes in DNA methylation have been implicated in learning and memory, as well as in age-related cognitive decline. However, little is known about the cell type–specific patterning of DNA methylation and its dynamics during mammalian brain development. The DNA methylation landscape of human and mouse neurons is dynamically reconfigured through development. Base-resolution analysis allowed identification of methylation in the CG and CH context (H = A, C, or T). Unlike other differentiated cell types, neurons accumulate substantial mCH during the early years of life, coinciding with the period of synaptogenesis and brain maturation. Methods We performed genome-wide single-base resolution profiling of the composition, patterning, cell specificity, and dynamics of DNA methylation in the frontal cortex of humans and mice throughout their lifespan (MethylC-Seq). Furthermore, we generated base-resolution maps of 5-hydroxymethylcytosine (hmC) in mammalian brains by TAB-Seq at key developmental stages, accompanied by RNA-Seq transcriptional profiling. Results Extensive methylome reconfiguration occurs during development from fetal to young adult. In this period, coincident with synaptogenesis, highly conserved non-CG methylation (mCH) accumulates in neurons, but not glia, to become the dominant form of methylation in the human neuronal genome. We uncovered surprisingly complex features of brain cell DNA methylation at multiple scales, first by identifying intragenic methylation patterns in neurons and glia that distinguish genes with cell type–specific activity. Second, we report a novel mCH signature that identifies genes escaping X-chromosome inactivation in neurons. Third, we find >100,000 developmentally dynamic and cell type–specific differentially CG-methylated regions that are enriched at putative regulatory regions of the genome. Finally, whole-genome detection of 5-hydroxymethylcytosine (hmC) at single-base resolution revealed that this mark is present in fetal brain cells at locations that lose CG methylation and become activated during development. CG-demethylation at these hmC-poised loci depends on Tet2 activity. Discussion Whole-genome single-base resolution methylcytosine and hydroxymethylcytosine maps revealed profound changes during frontal cortex development in humans and mice. These results extend our knowledge of the unique role of DNA methylation in brain development and function, and offer a new framework for testing the role of the epigenome in healthy function and in pathological disruptions of neural circuits. Overall, brain cell DNA methylation has unique features that are precisely conserved, yet dynamic and cell-type specific. Epigenetic Brainscape Epigenetic modifications and their potential changes during development are of high interest, but few studies have characterized such differences. Lister et al. (1237905, published online 4 July; see the Perspective by Gabel and Greenberg) report whole-genome base-resolution analysis of DNA cytosine modifications and transcriptome analysis in the frontal cortex of human and mouse brains at multiple developmental stages. The high-resolution mapping of DNA cytosine methylation (5mC) and one of its oxidation derivatives (5hmC) at key developmental stages provides a comprehensive resource covering the temporal dynamics of these epigenetic modifications in neurons compared to glia. The data suggest that methylation marks are dynamic during brain development in both humans and mice. A genome-wide map shows that DNA methylation in neurons and glial cells changes during development in humans and mice. [Also see Perspective by Gabel and Greenberg] DNA methylation is implicated in mammalian brain development and plasticity underlying learning and memory. We report the genome-wide composition, patterning, cell specificity, and dynamics of DNA methylation at single-base resolution in human and mouse frontal cortex throughout their lifespan. Widespread methylome reconfiguration occurs during fetal to young adult development, coincident with synaptogenesis. During this period, highly conserved non-CG methylation (mCH) accumulates in neurons, but not glia, to become the dominant form of methylation in the human neuronal genome. Moreover, we found an mCH signature that identifies genes escaping X-chromosome inactivation. Last, whole-genome single-base resolution 5-hydroxymethylcytosine (hmC) maps revealed that hmC marks fetal brain cell genomes at putative regulatory regions that are CG-demethylated and activated in the adult brain and that CG demethylation at these hmC-poised loci depends on Tet2 activity.


Proceedings of the National Academy of Sciences of the United States of America | 2013

Electroencephalogram signatures of loss and recovery of consciousness from propofol

Patrick L. Purdon; Eric T. Pierce; Eran A. Mukamel; Michael J. Prerau; John Walsh; Kin Foon Kevin Wong; Andres F. Salazar-Gomez; Priscilla G. Harrell; Aaron L. Sampson; ShiNung Ching; Nancy Kopell; Casie Tavares-Stoeckel; Kathleen Habeeb; Rebecca C. Merhar; Emery N. Brown

Significance Anesthesiologists reversibly manipulate the brain function of nearly 60,000 patients each day, but brain-state monitoring is not an accepted practice in anesthesia care because markers that reliably track changes in level of consciousness under general anesthesia have yet to be identified. We found specific behavioral and electrophysiological changes that mark the transition between consciousness and unconsciousness induced by propofol, one of the most commonly used anesthetic drugs. Our results provide insights into the mechanisms of propofol-induced unconsciousness and establish EEG signatures of this brain state that could be used to monitor the brain activity of patients receiving general anesthesia. Unconsciousness is a fundamental component of general anesthesia (GA), but anesthesiologists have no reliable ways to be certain that a patient is unconscious. To develop EEG signatures that track loss and recovery of consciousness under GA, we recorded high-density EEGs in humans during gradual induction of and emergence from unconsciousness with propofol. The subjects executed an auditory task at 4-s intervals consisting of interleaved verbal and click stimuli to identify loss and recovery of consciousness. During induction, subjects lost responsiveness to the less salient clicks before losing responsiveness to the more salient verbal stimuli; during emergence they recovered responsiveness to the verbal stimuli before recovering responsiveness to the clicks. The median frequency and bandwidth of the frontal EEG power tracked the probability of response to the verbal stimuli during the transitions in consciousness. Loss of consciousness was marked simultaneously by an increase in low-frequency EEG power (<1 Hz), the loss of spatially coherent occipital alpha oscillations (8–12 Hz), and the appearance of spatially coherent frontal alpha oscillations. These dynamics reversed with recovery of consciousness. The low-frequency phase modulated alpha amplitude in two distinct patterns. During profound unconsciousness, alpha amplitudes were maximal at low-frequency peaks, whereas during the transition into and out of unconsciousness, alpha amplitudes were maximal at low-frequency nadirs. This latter phase–amplitude relationship predicted recovery of consciousness. Our results provide insights into the mechanisms of propofol-induced unconsciousness, establish EEG signatures of this brain state that track transitions in consciousness precisely, and suggest strategies for monitoring the brain activity of patients receiving GA.


Nature Methods | 2008

High-speed, miniaturized fluorescence microscopy in freely moving mice

Benjamin A. Flusberg; Axel Nimmerjahn; Eric D. Cocker; Eran A. Mukamel; Robert P. J. Barretto; Tony H. Ko; Laurie D. Burns; Juergen C. Jung; Mark J. Schnitzer

A central goal in biomedicine is to explain organismic behavior in terms of causal cellular processes. However, concurrent observation of mammalian behavior and underlying cellular dynamics has been a longstanding challenge. We describe a miniaturized (1.1 g mass) epifluorescence microscope for cellular-level brain imaging in freely moving mice, and its application to imaging microcirculation and neuronal Ca2+ dynamics.


Nature | 2015

Human body epigenome maps reveal noncanonical DNA methylation variation

Matthew D. Schultz; Yupeng He; John W. Whitaker; Manoj Hariharan; Eran A. Mukamel; Danny Leung; Nisha Rajagopal; Joseph R. Nery; Mark A. Urich; Huaming Chen; Shin Lin; Yiing Lin; Inkyung Jung; Anthony D. Schmitt; Siddarth Selvaraj; Bing Ren; Terrence J. Sejnowski; Wei Wang; Joseph R. Ecker

Understanding the diversity of human tissues is fundamental to disease and requires linking genetic information, which is identical in most of an individual’s cells, with epigenetic mechanisms that could have tissue-specific roles. Surveys of DNA methylation in human tissues have established a complex landscape including both tissue-specific and invariant methylation patterns. Here we report high coverage methylomes that catalogue cytosine methylation in all contexts for the major human organ systems, integrated with matched transcriptomes and genomic sequence. By combining these diverse data types with each individuals’ phased genome, we identified widespread tissue-specific differential CG methylation (mCG), partially methylated domains, allele-specific methylation and transcription, and the unexpected presence of non-CG methylation (mCH) in almost all human tissues. mCH correlated with tissue-specific functions, and using this mark, we made novel predictions of genes that escape X-chromosome inactivation in specific tissues. Overall, DNA methylation in several genomic contexts varies substantially among human tissues.


Annual Review of Neuroscience | 2009

Advances in Light Microscopy for Neuroscience

Brian A. Wilt; Laurie D. Burns; Eric Tatt Wei Ho; Kunal Ghosh; Eran A. Mukamel; Mark J. Schnitzer

Since the work of Golgi and Cajal, light microscopy has remained a key tool for neuroscientists to observe cellular properties. Ongoing advances have enabled new experimental capabilities using light to inspect the nervous system across multiple spatial scales, including ultrastructural scales finer than the optical diffraction limit. Other progress permits functional imaging at faster speeds, at greater depths in brain tissue, and over larger tissue volumes than previously possible. Portable, miniaturized fluorescence microscopes now allow brain imaging in freely behaving mice. Complementary progress on animal preparations has enabled imaging in head-restrained behaving animals, as well as time-lapse microscopy studies in the brains of live subjects. Mouse genetic approaches permit mosaic and inducible fluorescence-labeling strategies, whereas intrinsic contrast mechanisms allow in vivo imaging of animals and humans without use of exogenous markers. This review surveys such advances and highlights emerging capabilities of particular interest to neuroscientists.


Proceedings of the National Academy of Sciences of the United States of America | 2012

Rapid fragmentation of neuronal networks at the onset of propofol-induced unconsciousness

Laura D. Lewis; Veronica S. Weiner; Eran A. Mukamel; Jacob Alexander Donoghue; Emad N. Eskandar; Joseph R. Madsen; William S. Anderson; Leigh R. Hochberg; Sydney S. Cash; Emery N. Brown; Patrick L. Purdon

The neurophysiological mechanisms by which anesthetic drugs cause loss of consciousness are poorly understood. Anesthetic actions at the molecular, cellular, and systems levels have been studied in detail at steady states of deep general anesthesia. However, little is known about how anesthetics alter neural activity during the transition into unconsciousness. We recorded simultaneous multiscale neural activity from human cortex, including ensembles of single neurons, local field potentials, and intracranial electrocorticograms, during induction of general anesthesia. We analyzed local and global neuronal network changes that occurred simultaneously with loss of consciousness. We show that propofol-induced unconsciousness occurs within seconds of the abrupt onset of a slow (<1 Hz) oscillation in the local field potential. This oscillation marks a state in which cortical neurons maintain local patterns of network activity, but this activity is fragmented across both time and space. Local (<4 mm) neuronal populations maintain the millisecond-scale connectivity patterns observed in the awake state, and spike rates fluctuate and can reach baseline levels. However, neuronal spiking occurs only within a limited slow oscillation-phase window and is silent otherwise, fragmenting the time course of neural activity. Unexpectedly, we found that these slow oscillations occur asynchronously across cortex, disrupting functional connectivity between cortical areas. We conclude that the onset of slow oscillations is a neural correlate of propofol-induced loss of consciousness, marking a shift to cortical dynamics in which local neuronal networks remain intact but become functionally isolated in time and space.


Neuron | 2009

Motor Behavior Activates Bergmann Glial Networks

Axel Nimmerjahn; Eran A. Mukamel; Mark J. Schnitzer

Although it is firmly established that neuronal activity is a prime determinant of animal behavior, relationships between astrocytic excitation and animal behavior have remained opaque. Cerebellar Bergmann glia are radial astrocytes that are implicated in motor behavior and exhibit Ca(2+) excitation. However, Ca(2+) excitation in these cells has not previously been studied in behaving animals. Using two-photon microscopy we found that Bergmann glia exhibit three forms of Ca(2+) excitation in awake, behaving mice. Two of these are ongoing within the cerebellar vermis. During locomotor performance concerted Ca(2+) excitation arises in networks of at least hundreds of Bergmann glia extending across several hundred microns or more. Concerted Ca(2+) excitation was abolished by anesthesia or blockade of either neural activity or glutamatergic transmission. Thus, large networks of Bergmann glia can be activated by specific animal behaviors and undergo excitation of sufficient magnitude to potentially initiate macroscopic changes in brain dynamics or blood flow.


Neuron | 2015

Epigenomic Signatures of Neuronal Diversity in the Mammalian Brain

Alisa Mo; Eran A. Mukamel; Fred P. Davis; Chongyuan Luo; Gilbert L. Henry; Serge Picard; Mark A. Urich; Joseph R. Nery; Terrence J. Sejnowski; Ryan Lister; Sean R. Eddy; Joseph R. Ecker; Jeremy Nathans

Neuronal diversity is essential for mammalian brain function but poses a challenge to molecular profiling. To address the need for tools that facilitate cell-type-specific epigenomic studies, we developed the first affinity purification approach to isolate nuclei from genetically defined cell types in a mammal. We combine this technique with next-generation sequencing to show that three subtypes of neocortical neurons have highly distinctive epigenomic landscapes. Over 200,000 regions differ in chromatin accessibility and DNA methylation signatures characteristic of gene regulatory regions. By footprinting and motif analyses, these regions are predicted to bind distinct cohorts of neuron subtype-specific transcription factors. Neuronal epigenomes reflect both past and present gene expression, with DNA hyper-methylation at developmentally critical genes appearing as a novel epigenomic signature in mature neurons. Taken together, our findings link the functional and transcriptional complexity of neurons to their underlying epigenomic diversity.


eLife | 2016

Epigenomic landscapes of retinal rods and cones

Alisa Mo; Chongyuan Luo; Fred P. Davis; Eran A. Mukamel; Gilbert L. Henry; Joseph R. Nery; Mark A. Urich; Serge Picard; Ryan Lister; Sean R. Eddy; Michael Beer; Joseph R. Ecker; Jeremy Nathans

Rod and cone photoreceptors are highly similar in many respects but they have important functional and molecular differences. Here, we investigate genome-wide patterns of DNA methylation and chromatin accessibility in mouse rods and cones and correlate differences in these features with gene expression, histone marks, transcription factor binding, and DNA sequence motifs. Loss of NR2E3 in rods shifts their epigenomes to a more cone-like state. The data further reveal wide differences in DNA methylation between retinal photoreceptors and brain neurons. Surprisingly, we also find a substantial fraction of DNA hypo-methylated regions in adult rods that are not in active chromatin. Many of these regions exhibit hallmarks of regulatory regions that were active earlier in neuronal development, suggesting that these regions could remain undermethylated due to the highly compact chromatin in mature rods. This work defines the epigenomic landscapes of rods and cones, revealing features relevant to photoreceptor development and function. DOI: http://dx.doi.org/10.7554/eLife.11613.001


The Journal of Neuroscience | 2014

A Transition in Brain State during Propofol-Induced Unconsciousness

Eran A. Mukamel; Elvira Pirondini; Behtash Babadi; Kin Foon Kevin Wong; Eric T. Pierce; P. Grace Harrell; John Walsh; Andres F. Salazar-Gomez; Sydney S. Cash; Emad N. Eskandar; Veronica S. Weiner; Emery N. Brown; Patrick L. Purdon

Rhythmic oscillations shape cortical dynamics during active behavior, sleep, and general anesthesia. Cross-frequency phase-amplitude coupling is a prominent feature of cortical oscillations, but its role in organizing conscious and unconscious brain states is poorly understood. Using high-density EEG and intracranial electrocorticography during gradual induction of propofol general anesthesia in humans, we discovered a rapid drug-induced transition between distinct states with opposite phase-amplitude coupling and different cortical source distributions. One state occurs during unconsciousness and may be similar to sleep slow oscillations. A second state occurs at the loss or recovery of consciousness and resembles an enhanced slow cortical potential. These results provide objective electrophysiological landmarks of distinct unconscious brain states, and could be used to help improve EEG-based monitoring for general anesthesia.

Collaboration


Dive into the Eran A. Mukamel's collaboration.

Top Co-Authors

Avatar

Emery N. Brown

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Joseph R. Ecker

Salk Institute for Biological Studies

View shared research outputs
Top Co-Authors

Avatar

Joseph R. Nery

Salk Institute for Biological Studies

View shared research outputs
Top Co-Authors

Avatar

Terrence J. Sejnowski

Salk Institute for Biological Studies

View shared research outputs
Top Co-Authors

Avatar

Mark A. Urich

Salk Institute for Biological Studies

View shared research outputs
Top Co-Authors

Avatar

Mark J. Schnitzer

Howard Hughes Medical Institute

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Yupeng He

Salk Institute for Biological Studies

View shared research outputs
Researchain Logo
Decentralizing Knowledge