{"id":4470,"date":"2019-10-16T13:08:59","date_gmt":"2019-10-16T04:08:59","guid":{"rendered":"http:\/\/163.180.4.222\/lab\/?p=4470"},"modified":"2019-10-16T13:08:59","modified_gmt":"2019-10-16T04:08:59","slug":"genetic-light-bulbs-illuminate-the-brain","status":"publish","type":"post","link":"https:\/\/biochemistry.khu.ac.kr\/lab\/?p=4470","title":{"rendered":"Genetic light bulbs illuminate the brain"},"content":{"rendered":"<p>&nbsp;<\/p>\n<h5><\/h5>\n<h5>Genetically encoded voltage indicators change colour in real time when neurons transmit electrical information, offering unprecedented insight into neural activity.<\/h5>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<div class=\"article__body serif cleared\">\n<figure class=\"figure\">\n<div class=\"embed intensity--high\">\n<div class=\"embed intensity--high\"><img decoding=\"async\" class=\"figure__image\" src=\"https:\/\/media.nature.com\/w800\/magazine-assets\/d41586-019-03064-8\/d41586-019-03064-8_17234850.jpg\" alt=\"Confocal stack of soma-localized Voltron-expressing zebrafish.\" data-src=\"\/\/media.nature.com\/w800\/magazine-assets\/d41586-019-03064-8\/d41586-019-03064-8_17234850.jpg\" \/><\/div>\n<\/div><figcaption>\n<p class=\"figure__caption sans-serif\"><span class=\"mr10\">Fluorescent proteins that react to voltage changes show signalling between cells in the brain of a zebrafish (<i>Danio rerio<\/i>).<\/span>Credit: A.S Abdelfattah\u00a0<i>et al.\/Science<\/i><\/p>\n<\/figcaption><\/figure>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>Douglas Storace still has the dollar bill that he triumphantly taped above his laboratory bench seven years ago, a trophy from a successful wager. His postdoctoral mentor, Larry Cohen at Yale University in New Haven, Connecticut, bet that Storace couldn\u2019t express a protein sensor of voltage changes in mice back in September 2012. Storace won.<\/p>\n<p>The bill is a handy reminder that the experiments he aims to try in his new lab can work. And it\u2019s a testament to just how tricky it is to correctly express these sensors and track their signals. Storace, now an assistant professor at Florida State University in Tallahassee, plans to use these sensors, known as genetically encoded voltage indicators (GEVIs), to study how neurons in the olfactory bulb sense and react to smells.<\/p>\n<p>GEVIs are voltage-sensitive, fluorescent proteins that change colour when a neuron fires or receives a signal. Because GEVIs can be targeted to individual cells and directly indicate a cell\u2019s electrical signals, researchers consider them to be the ideal probes for studying neurons. But they have proved frustratingly difficult to use. \u201cBeing able to visualize voltage changes in a cell has always been the dream,\u201d says neuroscientist Bradley Baker at the Korea Institute of Science and Technology in Seoul. \u201cBut probes that looked great often didn\u2019t behave in ways that were useful.\u201d<\/p>\n<p>Early GEVIs disappointed on several levels. They were bright when a cell was resting and dimmed when the cell fired an action potential, producing signals that were tough to distinguish from the background. And they failed to concentrate in the nerve-cell membranes, where they function. But researchers are beginning to solve these issues. Some are turning to advanced fluorescent proteins or chemical dyes for better signals; others are using directed evolution and high-throughput screens to make GEVIs more sensitive to voltage changes. Meanwhile, biologists are putting these molecules through their paces. GEVIs, says neuroscientist Katalin Toth at Laval University in Quebec City, Canada, are not yet widely used, but they\u2019re getting there. \u201cThey are becoming brighter and faster \u2014 and growing in popularity,\u201d she says. \u201cI think this is the dawn of GEVIs.\u201d<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Glimmer of promise<\/strong><\/p>\n<p>When a mouse smells a banana and races towards the treat, it is the inevitable result of a well-organized orchestra of neural circuits. Researchers can tap into these pathways using patch-clamping (in which electrodes and pipettes are placed on cells to track electrical activity in a given brain region) and voltage-sensitive dyes (which can reveal overarching electrical changes).<\/p>\n<p>Genetic probes are another option. In a similar way to dyes, these molecules fluoresce in response to electrical signals. But researchers can use genetic tricks to limit the probes\u2019 expression to specific cells. Genetically encoded calcium indicators (GECIs), such as GCaMP proteins, are made by fusing a fluorescent protein to one that can bind to calcium. Calcium floods a nerve cell after it has fired an electrical signal, causing a change in the binding protein\u2019s shape that triggers a change in fluorescence.<\/p>\n<p>But GECIs are only proxies for neural electrical activity. Although they are sensitive to action potentials, which are the basic units of neural communication, they cannot capture the smaller, sub-excitatory cues that help nerve cells to compute and integrate different kinds of information.<\/p>\n<p>In 1997, Ehud Isacoff at the University of California, Berkeley, developed the first GEVI, named FlaSh, by fusing green fluorescent protein with a voltage-sensitive potassium channel<sup><a href=\"https:\/\/www.nature.com\/articles\/d41586-019-03064-8?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A+nature%2Frss%2Fcurrent+%28Nature+-+Issue%29#ref-CR1\" data-track=\"click\" data-action=\"anchor-link\" data-track-label=\"go to reference\" data-track-category=\"references\">1<\/a><\/sup>. Imperial College London neuroscientist Thomas Kn\u00f6pfel, then at RIKEN in Wako, Japan, followed suit in 2010 by fusing a voltage-sensing phosphatase enzyme derived from\u00a0<i>Ciona intestinalis<\/i>, a marine invertebrate, to a fluorescent protein<sup><a href=\"https:\/\/www.nature.com\/articles\/d41586-019-03064-8?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A+nature%2Frss%2Fcurrent+%28Nature+-+Issue%29#ref-CR2\" data-track=\"click\" data-action=\"anchor-link\" data-track-label=\"go to reference\" data-track-category=\"references\">2<\/a><\/sup>. Other designs followed, including the 2012 discovery that a random mutation in one protein made it 14-fold more sensitive to voltage changes, leading to one of the biggest early GEVI successes<sup><a href=\"https:\/\/www.nature.com\/articles\/d41586-019-03064-8?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A+nature%2Frss%2Fcurrent+%28Nature+-+Issue%29#ref-CR3\" data-track=\"click\" data-action=\"anchor-link\" data-track-label=\"go to reference\" data-track-category=\"references\">3<\/a><\/sup>, ArcLight.<\/p>\n<p>Today, there are three major classes of GEVI (see \u2018Flavours of fluorescence\u2019). Probes such as ArcLight fuse voltage-sensitive protein domains (VSDs) to fluorescent proteins, whereas others such as Archer and QuasAr2 rely on fluorescent membrane-spanning bacterial proteins known as rhodopsins. Ace\u2013mNeon represents a third group known as opsin\u2013FRET (fluorescence resonance energy transfer) probes. These molecules combine light-sensitive opsins that are similar to rhodopsin with a second fluorescent protein to create an energy transfer \u2014 detectable as a change in fluorescent colour \u2014 when the proteins are excited. \u201cUnlike GCaMP, where everyone was focused on one scaffold, each GEVI has its own developmental path,\u201d says neuroscientist Michael Lin at Stanford University in California.<\/p>\n<p>&nbsp;<\/p>\n<figure class=\"figure\">\n<div class=\"embed intensity--high\">\n<div class=\"embed intensity--high\"><img decoding=\"async\" class=\"figure__image\" src=\"https:\/\/media.nature.com\/w800\/magazine-assets\/d41586-019-03064-8\/d41586-019-03064-8_17263768.jpg\" alt=\"\" data-src=\"\/\/media.nature.com\/w800\/magazine-assets\/d41586-019-03064-8\/d41586-019-03064-8_17263768.jpg\" \/><\/div>\n<\/div><figcaption><\/figcaption><\/figure>\n<p>Ideally, a GEVI will yield a bright, stable signal that consistently follows a change in voltage or action potential, and produce minimal background fluorescence. But this doesn\u2019t always happen. Unlike GCaMPs, which can fill a cell\u2019s volume, GEVIs must be localized to the cell membrane to be effective. They cannot be tested in bacteria, because it is difficult to maintain a membrane potential in these cells. And the change in fluorescence when a GEVI fires is much smaller than that seen with GECIs.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>The millisecond pace of neural electrical activity is also a problem, both for GEVIs and the cameras that image them. And generating a sufficiently bright signal requires intense excitation light, which can overheat cells and cause the GEVI to bleach within minutes.<\/p>\n<p>As a result, most biologists still look to GCaMPs to study fine-scale neuronal activities. \u201cWhat the field would love to have is a solution like GCaMP. Calcium imaging works consistently in anyone\u2019s hands,\u201d says neuroscientist Eric Schreiter at the Howard Hughes Medical Institute\u2019s Janelia Research Campus in Ashburn, Virginia. \u201cThere are very few reports of existing GEVIs being used\u00a0<i>in vivo<\/i>, and they\u2019re quite limited in their scope.\u201d<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Brighter, faster \u2026 better?<\/strong><\/p>\n<p>But that is beginning to change, thanks to directed-evolution approaches, high-throughput screening strategies and more-stable fluorescent molecules.<\/p>\n<p>Schreiter and his team, for instance, removed the fluorescent portions of rhodopsin-based sensors and replaced them with a protein that binds to a synthetic dye molecule in response to voltage changes. Synthetic dyes are significantly brighter and more photo-stable than fluorescent proteins. One such probe, dubbed Voltron, produced a signal that was several-fold brighter than its parent GEVIs and lasted upwards of 15 minutes without bleaching<sup><a href=\"https:\/\/www.nature.com\/articles\/d41586-019-03064-8?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A+nature%2Frss%2Fcurrent+%28Nature+-+Issue%29#ref-CR4\" data-track=\"click\" data-action=\"anchor-link\" data-track-label=\"go to reference\" data-track-category=\"references\">4<\/a><\/sup>.<\/p>\n<figure class=\"figure\">\n<div class=\"embed intensity--high\"><\/div><figcaption>\n<p class=\"figure__caption sans-serif\">\n<\/figcaption><\/figure>\n<p>Voltron\u2019s signal is a flare of bright light against a background of unbound dye that is also fluorescing. This \u2018negative\u2019 signal is much harder to spot under a microscope than a \u2018positive\u2019 one, where the background remains dark. In subsequent experiments, Schreiter\u2019s team discovered that three specific mutations in the rhodopsin proton-transport domain reduce the protein\u2019s fluorescence when a cell is resting and thus result in a \u2018reverse Voltron\u2019 that produces this kind of positive signal<sup><a href=\"https:\/\/www.nature.com\/articles\/d41586-019-03064-8?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A+nature%2Frss%2Fcurrent+%28Nature+-+Issue%29#ref-CR5\" data-track=\"click\" data-action=\"anchor-link\" data-track-label=\"go to reference\" data-track-category=\"references\">5<\/a><\/sup>. \u201cIt\u2019s one of the rare instances in my career where trying something rational actually worked on a protein,\u201d says neuroscientist Ahmed Abdelfattah, a postdoctoral researcher in Schreiter\u2019s lab.<\/p>\n<p>These mutations could also help to tweak the bright-on-bright signals from other rhodopsin-based GEVIs, says neuroscientist Yuki Bando at Hamamatsu University in Japan.<\/p>\n<p>Other researchers have made GEVIs that use red fluorescent proteins instead of green ones, because red light can penetrate deeper into tissues and causes less cellular damage. Recent examples include VARNAM (voltage-activated red neuronal-activity monitor), which blends a red fluorescent protein named mRuby with an opsin-based probe; nirButterfly, a variant of the FRET-based GEVI called Butterfly that swaps the paired fluorescent proteins with bacterial near-infrared proteins; and Ilmol, which uses one of the brightest red fluorescent proteins available to produce a signal three times stronger than that of FlicR1, the VSD probe on which it is based<sup><a href=\"https:\/\/www.nature.com\/articles\/d41586-019-03064-8?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A+nature%2Frss%2Fcurrent+%28Nature+-+Issue%29#ref-CR6\" data-track=\"click\" data-action=\"anchor-link\" data-track-label=\"go to reference\" data-track-category=\"references\">6<\/a><\/sup><sup>\u2013<\/sup><sup><a href=\"https:\/\/www.nature.com\/articles\/d41586-019-03064-8?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A+nature%2Frss%2Fcurrent+%28Nature+-+Issue%29#ref-CR8\" data-track=\"click\" data-action=\"anchor-link\" data-track-label=\"go to reference\" data-track-category=\"references\">8<\/a><\/sup>.<\/p>\n<p>Expanding the GEVI spectrum helps researchers to combine probes or techniques in the same study. For example, chemical biologist Adam Cohen at Harvard University in Cambridge, Massachusetts, and his colleagues developed QuasAr3, a near-infrared probe that surpasses its predecessors in terms of signal-to-noise ratio, membrane-specific expression and other properties. The team combined QuasAr3 with optogenetics \u2014 the use of different wavelengths of light to control neuronal activity \u2014 to study voltage changes correlated with behaviour and movement in mice<sup><a href=\"https:\/\/www.nature.com\/articles\/d41586-019-03064-8?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A+nature%2Frss%2Fcurrent+%28Nature+-+Issue%29#ref-CR9\" data-track=\"click\" data-action=\"anchor-link\" data-track-label=\"go to reference\" data-track-category=\"references\">9<\/a><\/sup>.<\/p>\n<p>\u201cSome of the largest improvements in opsin-based probes have been in membrane localization,\u201d Lin says. \u201cThat alone has been very useful. Others such as nirButterfly and VARNAM also show improvements in brightness and responsiveness.\u201d<\/p>\n<p>Lin\u2019s own work has focused on a series of GEVIs dubbed ASAPs for their fast responses. The latest iteration, ASAP3, has a signal that is significantly stronger than its predecessor, ASAP2<sup><a href=\"https:\/\/www.nature.com\/articles\/d41586-019-03064-8?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A+nature%2Frss%2Fcurrent+%28Nature+-+Issue%29#ref-CR10\" data-track=\"click\" data-action=\"anchor-link\" data-track-label=\"go to reference\" data-track-category=\"references\">10<\/a><\/sup>.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Speedier screens<\/strong><\/p>\n<p>Many of these protein improvements stem from directed-evolution techniques, in which proteins are randomly mutated and improved versions selected over multiple cycles. But it is one thing to create a GEVI, and another thing to test it. When it comes to GEVIs, says protein engineer Robert Campbell at the University of Alberta in Edmonton, Canada, screening remains a \u201cbottleneck\u201d.<\/p>\n<p>&nbsp;<\/p>\n<aside class=\"recommended pull pull--left sans-serif\" data-label=\"Related\"><a href=\"https:\/\/www.nature.com\/collections\/fxvqrpnlcq\" data-track=\"click\" data-track-label=\"recommended article\"><img decoding=\"async\" class=\"recommended__image\" src=\"https:\/\/media.nature.com\/w400\/magazine-assets\/d41586-019-03064-8\/d41586-019-03064-8_16573690.jpg\" \/><\/a><\/p>\n<p class=\"recommended__title serif\">NatureTech hub<\/p>\n<\/aside>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>Yale University neuroscientist Vincent Pieribone\u2019s team, which created VARNAM, uses a 96-well-plate set-up in which a field electrode moves from well to well to excite cells that carry GEVIs harbouring different mutations, linkers or fluorescent proteins. The system lets researchers quickly study each GEVI\u2019s response to voltage changes. In another approach, Edward Boyden at the Massachusetts Institute of Technology in Cambridge enriched for brighter rhodopsin-based probes using a microscopy-guided, robotic process<sup><a href=\"https:\/\/www.nature.com\/articles\/d41586-019-03064-8?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A+nature%2Frss%2Fcurrent+%28Nature+-+Issue%29#ref-CR11\" data-track=\"click\" data-action=\"anchor-link\" data-track-label=\"go to reference\" data-track-category=\"references\">11<\/a><\/sup>.<\/p>\n<p>Lin\u2019s group turned to a classic genetic technique \u2014 electroporation \u2014 to quickly screen its probes. In electroporation, a quick pulse of electricity reduces the resting membrane potential of cells to zero, creating temporary holes in the cell membrane so that DNA can enter. But because electroporation creates a defined voltage change, it can also be correlated to a probe\u2019s fluorescence signal. \u201cIt\u2019s a very simple idea,\u201d Lin says, \u201cBut it hadn\u2019t been used before to screen fluorescent probes.\u201d<\/p>\n<p>These high-throughput methods help researchers to screen thousands of GEVI variants in a matter of hours. \u201cPerhaps a major push to apply such screening systems to the right templates\u201d is all that\u2019s needed to propel GEVI technology forward \u2014 and into more widespread use, Campbell suggests.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Bright applications<\/strong><\/p>\n<p>GEVI developers usually work with collaborators to test their probes in flies, mice or cultured human cells. Although independent researchers can order and use any GEVI from the non-profit repository Addgene, based in Watertown, Massachusetts, there have been few published reports from external users who have applied GEVIs to their experiments.<\/p>\n<p>In part that could be due to instrumentation, Toth says. Her lab works with the ASAP probes, and uses random-access two-photon microscopy to capture signals. But these systems can prove expensive and thus difficult to access for many researchers, she says.<\/p>\n<p>Another hurdle has been the difficulty researchers have in directly comparing GEVI performance. Most labs report GEVI performance using a few standard metrics, which can help users to decide how different probes stack up against each other, Lin says. But until this year, only one study had compared a range of GEVIs in parallel using the same experimental conditions<sup><a href=\"https:\/\/www.nature.com\/articles\/d41586-019-03064-8?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A+nature%2Frss%2Fcurrent+%28Nature+-+Issue%29#ref-CR12\" data-track=\"click\" data-action=\"anchor-link\" data-track-label=\"go to reference\" data-track-category=\"references\">12<\/a><\/sup>. \u201cEach GEVI has very specific characteristic properties,\u201d says Bando, who led that research. \u201cBut nobody had compared the indicators with the same experimental conditions.\u201d<\/p>\n<p>Bando and his colleagues compared eight GEVIs in cultured neurons and mice, using both widefield and two-photon imaging. The team tested the proteins for their ability to track action potentials, synaptic input, photobleaching and other properties. Some probes, they found, emitted a dim baseline fluorescence and thus needed a very-high-powered excitation laser, which could overheat and damage cells. Others produced fast, reliable signals under conventional imaging, but failed with two-photon microscopy, which can visualize deeper brain regions\u00a0<i>in vivo<\/i>. Still others produced strong, but short-lived signals. Overall, they found that \u201cno indicators could detect both action potential and synaptic inputs\u00a0<i>in vivo<\/i>\u201d, Bando says. And, \u201conly ArcLight worked with two-photon imaging\u00a0<i>in vivo<\/i>\u201d.<\/p>\n<p>But ArcLight\u2019s fluorescent responses are slow \u2014 too slow to track a neuron\u2019s action potential, which lasts only about a millisecond. Nonetheless, this GEVI\u2019s consistency and clear signal led Bando to focus on optimizing ArcLight for his own studies. When selecting a voltage indicator, consider the purpose of the experiment, he suggests. Archer, QuasAr and Ace2N\u2013mNeon are ideal for one-photon (that is, conventional) imaging of cultured cells or brain slices. To study deeper brain regions in live animals using multiphoton approaches, ArcLight might be a researcher\u2019s best choice for now.<\/p>\n<p>Baker concurs that for GEVI novices, ArcLight is the easiest option. Probes can fail for several reasons, he explains, including incompatible cameras, photodamage, and poor or aberrant protein expression. \u201cSo many things can go wrong, and you need a probe that gives you the confidence that the imaging works,\u201d he says. \u201cIt might not be the right probe for you, but if you don\u2019t see a signal with ArcLight, you will not see a signal with whatever other GEVI you try.\u201d<\/p>\n<p>Indeed, ArcLight\u2019s sluggishness might be the reason it works so well, Storace says, because it ends up integrating input from various neurons into a single signal that is easy to distinguish from background noise. \u201cI strongly feel the reason it\u2019s better is because it\u2019s slower,\u201d he says.<\/p>\n<p>The brain region being studied is also a factor. Storace focuses on the olfactory system, which is physically organized into bulbs, each of which responds to a single odorant. Applying GEVIs to this region reveals useful data, he says, because even if the signals from individual cells are indistinguishable, the population-level data can be revealing. \u201cIt\u2019s a useful strategy in the olfactory system, but I\u2019m not sure it\u2019s easily translated to other brain areas such as the cortex,\u201d he says.<\/p>\n<p>Indeed, as researchers continue refining and exploring these probes, fresh strategies are likely to emerge, as will insights into their strengths and weaknesses. Different probes might well be ideal for different questions, Storace says. \u201cIn about four or five years, we\u2019ll have a better idea of how easy it is to use GEVIs.\u201d<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<\/div>\n<p><span class=\"emphasis\">Nature<\/span>\u00a0<strong>574<\/strong>, 437-439 (2019)<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>(\uc6d0\ubb38: <a href=\"https:\/\/www.nature.com\/articles\/d41586-019-03064-8?utm_source=feedburner&amp;utm_medium=feed&amp;utm_campaign=Feed%3A+nature%2Frss%2Fcurrent+%28Nature+-+Issue%29\">\uc5ec\uae30<\/a>\ub97c \ud074\ub9ad\ud558\uc138\uc694~)<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; Genetically encoded voltage indicators change colour in real time when neurons transmit electrical information, offering unprecedented insight into neural activity. &nbsp; &nbsp; Fluorescent proteins<a href=\"https:\/\/biochemistry.khu.ac.kr\/lab\/?p=4470\" class=\"more-link\">(more&#8230;)<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[45,38,33,29,30],"tags":[],"class_list":["post-4470","post","type-post","status-publish","format-standard","hentry","category-12---13---","category-38","category-do-biology","category-lets-do-science","category-recent-science-news"],"aioseo_notices":[],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack-related-posts":[{"id":4792,"url":"https:\/\/biochemistry.khu.ac.kr\/lab\/?p=4792","url_meta":{"origin":4470,"position":0},"title":"NGC \ucf54\uc2a4\ubaa8\uc2a4 13\ubd80\uc791 (\ub3d9\uc601\uc0c1) (\uad50\uc721\uc6a9)","author":"biochemistry","date":"May 30, 2018","format":false,"excerpt":"\u00a0 \u00a0 NGC \ucf54\uc2a4\ubaa8\uc2a4 13\ubd80\uc791 \uc911 1\ubd80 : \ud504\ub85c\ub85c\uadf8 - \uc6b0\uc8fc\uc758 \uc5ed\uc0ac \uac1c\uc694 \u00a0 \u00a0 NGC \ucf54\uc2a4\ubaa8\uc2a4 13\ubd80\uc791 \uc911 2\ubd80 : \uc0dd\uba85\uc758 \uc2e0\ube44 - \uc9c4\ud654\uc640 \uc720\uc804 \u00a0 \u00a0 NGC \ucf54\uc2a4\ubaa8\uc2a4 13\ubd80\uc791 \uc911 3\ubd80 : \ud5ec\ub9ac \ud61c\uc131, \ub274\ud2bc \u00a0 \u00a0 NGC \ucf54\uc2a4\ubaa8\uc2a4 13\ubd80\uc791 \uc911 4\ubd80 : \ube45\ubc45, \ube5b, \uc2dc\uacf5\uac04, \uc911\ub825, \ube14\ub799\ud640\u2026","rel":"","context":"In &quot;'01. \uc6b0\uc8fc: \ubbf8\uc2dc\uc5d0\uc11c \uac70\uc2dc\uae4c\uc9c0'\uc640 '02. \uc2dc\uac04\uacfc \uacf5\uac04' \uad00\ub828&quot;","block_context":{"text":"'01. \uc6b0\uc8fc: \ubbf8\uc2dc\uc5d0\uc11c \uac70\uc2dc\uae4c\uc9c0'\uc640 '02. \uc2dc\uac04\uacfc \uacf5\uac04' \uad00\ub828","link":"https:\/\/biochemistry.khu.ac.kr\/lab\/?cat=39"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":426,"url":"https:\/\/biochemistry.khu.ac.kr\/lab\/?p=426","url_meta":{"origin":4470,"position":1},"title":"Sanger Method of DNA Sequencing and Next Generation Sequencing (NGS) \uc6d0\ub9ac(Youtube)","author":"biochemistry","date":"June 4, 2018","format":false,"excerpt":"\u00a0 \u00a0 The Sanger Method of DNA Sequencing \u00a0 https:\/\/www.youtube.com\/watch?v=FvHRio1yyhQ \u00a0 \u00a0 Next Generation Sequencing (NGS) \uc6d0\ub9ac \u00a0 Illumina \u00a0 https:\/\/www.youtube.com\/watch?v=fCd6B5HRaZ8 \u00a0 \u00a0 \u00a0 Applied Biological Materials \u00a0 https:\/\/www.youtube.com\/watch?v=jFCD8Q6qSTM \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0","rel":"","context":"In &quot;'06. \uc5d0\ub108\uc9c0\uc640 \uc5d4\ud2b8\ub85c\ud53c'\uc640 '07. \uacfc\ud559\uacfc \ubb38\uba85' \uad00\ub828&quot;","block_context":{"text":"'06. \uc5d0\ub108\uc9c0\uc640 \uc5d4\ud2b8\ub85c\ud53c'\uc640 '07. \uacfc\ud559\uacfc \ubb38\uba85' \uad00\ub828","link":"https:\/\/biochemistry.khu.ac.kr\/lab\/?cat=42"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/img.youtube.com\/vi\/FvHRio1yyhQ\/0.jpg?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":436,"url":"https:\/\/biochemistry.khu.ac.kr\/lab\/?p=436","url_meta":{"origin":4470,"position":2},"title":"GMO\uc5d0 \uad00\ud558\uc5ec (\uc720\ud29c\ube0c) &#038; \uc548\uc804\ud560\uae4c? 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https:\/\/www.youtube.com\/watch?gl=KR&amp;hl=ko&amp;v=AhnTT6-Jgcg&amp;feature=related or click here~ \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0","rel":"","context":"In &quot;'05. \ubb3c\uc9c8\uc758 \uc9c4\ud654' \uad00\ub828&quot;","block_context":{"text":"'05. \ubb3c\uc9c8\uc758 \uc9c4\ud654' \uad00\ub828","link":"https:\/\/biochemistry.khu.ac.kr\/lab\/?cat=41"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/img.youtube.com\/vi\/\/0.jpg?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":818,"url":"https:\/\/biochemistry.khu.ac.kr\/lab\/?p=818","url_meta":{"origin":4470,"position":4},"title":"\uacbd\ud76c\ub300 \uc758\uacfc\ub300\ud559 \uad50\uc218\ub4e4\uc774 \ub9cc\ub4e0 \uc758\ud559 \ub9cc\ud654","author":"biochemistry","date":"June 11, 2018","format":false,"excerpt":"\u00a0 \u00a0 (\uc6d0\ubb38) \u00a0 \u00a0 \u00a0 \uc758\uacfc\ub300\ud559 \uad50\uc218\ub4e4\uc774 \ub9cc\ub4e0 \uc758\ud559 \ub9cc\ud654 \uacbd\ud76c 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\uc18d\uc131'\uacfc '09. \uc0dd\uba85\uccb4\uc758 \uc5f0\uc18d\uc131\uacfc \uc720\uc804' \uad00\ub828&quot;","block_context":{"text":"'08. \uc0dd\uba85\uccb4\uc758 \uae30\uc6d0\uacfc \uc18d\uc131'\uacfc '09. \uc0dd\uba85\uccb4\uc758 \uc5f0\uc18d\uc131\uacfc \uc720\uc804' \uad00\ub828","link":"https:\/\/biochemistry.khu.ac.kr\/lab\/?cat=43"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":4819,"url":"https:\/\/biochemistry.khu.ac.kr\/lab\/?p=4819","url_meta":{"origin":4470,"position":5},"title":"EBS \uc778\ub958\uc758 \ud0c4\uc0dd 3\ubd80\uc791 (\ub3d9\uc601\uc0c1) (\uad50\uc721\uc6a9)","author":"biochemistry","date":"May 30, 2018","format":false,"excerpt":"\u00a0 \u00a0 EBS \uc778\ub958\uc758 \ud0c4\uc0dd 3\ubd80\uc791 \uc911 1\ubd80 : \ucd5c\ucd08\uc758 \uc778\uac04 \u00a0 \u00a0 EBS \uc778\ub958\uc758 \ud0c4\uc0dd 3\ubd80\uc791 \uc911 2\ubd80 : \ud638\ubaa8 \uc5d0\ub809\ud22c\uc2a4 \u00a0 \u00a0 EBS \uc778\ub958\uc758 \ud0c4\uc0dd 3\ubd80\uc791 \uc911 3\ubd80 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