{"id":18046,"date":"2019-12-23T17:00:46","date_gmt":"2019-12-23T16:00:46","guid":{"rendered":"https:\/\/news.embl.de\/?p=18046"},"modified":"2024-03-22T10:50:48","modified_gmt":"2024-03-22T09:50:48","slug":"new-method-cancer-diagnosis","status":"publish","type":"post","link":"https:\/\/www.embl.org\/news\/science\/new-method-cancer-diagnosis\/","title":{"rendered":"EMBL co-develops new method that could facilitate cancer diagnosis"},"content":{"rendered":"\n

Researchers led by EMBL and the Center for Bioinformatics at Saarland University in Saarbr\u00fccken have developed a cheaper and faster method to check for genetic differences in individual cells, which outperforms existing techniques with respect to the information received. This new method could become a new standard in single cell research, and potentially for clinical diagnosis in disease genetics, including cancer. The results have been published in Nature Biotechnology<\/em>.<\/p>\n\n\n\n

\u201cOur new method to study genetic variations in individual cells could transform the field of mutation detection,\u201d highlights Ashley Sanders, one of the lead authors of the study, working at EMBL Heidelberg. The method she and her colleagues developed \u2013 termed scTRIP (single cell tri-channel processing) \u2013 allows them to study genetic variations within the DNA of a single cell and measure genetic variations directly as they form in new cells. In contrast to existing methods that were able to detect only large-scale changes in the genome, scTRIP can detect small-scale changes, along with many types of genetic variations that were invisible using other single cell methods.<\/p>\n\n\n\n

The researchers tested their method in studying patient-derived leukaemia cells. In their sample, the team found four times more variants in the patient than were detected by standard clinical diagnostics. These included a missed clinically relevant translocation that drove the overexpression of a cancer-causing gene. They also observed a catastrophic chromosome rearrangement that was missed in the initial leukaemia diagnosis. It probably occurred when a single chromosome shattered and was then glued back together in a rearranged order.<\/p>\n\n\n\n

\u201cThese first results show that our method is outperforming existing ones significantly. Our method is much faster and cheaper than methods currently in use to uncover genetic variants in single cells. This might be very useful for clinical applications,\u201d summarises Tobias Marschall, from the Center for Bioinformatics at Saarland University<\/a> and the Max Planck Institute for Informatics<\/a>. The team has begun to expand their use of the method to analyse different forms of leukaemia and evaluate its potential clinical utility.<\/p>\n\n\n\n

As the heterogeneity of a sample can best be studied at a single-cell level, researchers all over the world \u2013 including several groups at EMBL<\/a> \u2013 are working on the development of technologies to improve the information received. \u201cWhile existing techniques show how different cells can behave or respond to manipulation or treatment, research and application have so far centred on measuring the RNA within a cell. However, measuring the DNA in a single cell has so far received much less attention,\u201d explains Tobias Marschall. As it is expected that looking at the DNA will provide a new level of understanding in how these genetic changes drive different cell behaviours, the new method addresses the needs of both researchers and medical doctors.<\/p>\n\n\n\n

scTRIP is based on a technology Ashley Sanders co-developed during her PhD in Vancouver. \u201cscTRIP combines signals from three distinct channels of information from within the genomic code of the individual cell,\u201d explains Jan Korbel, group leader at EMBL Heidelberg<\/a>. \u201cDoing so, our method allows us to uncover the full spectrum of DNA rearrangements in individual cells.\u201d<\/p>\n\n\n\n

Now, using scTRIP, the researchers are continuing their research on a very basic question: How much does one cell in the body differ from any other cell, in the context of cancer as well as in normal cells? Until now, they were unable to address this question because they lacked the technology to do so. \u201cUsing scTRIP we can now directly measure the mutational processes that act in cells to generate new genetically distinct populations,\u201d says Ashley Sanders. For the next steps in their research, the team plans to study mutational processes in different human cell types, and to assess the consequences these differences have in terms of human diseases.<\/p>\n\n\n\n

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EMBL entwickelt in Zusammenarbeit eine neue Methode, die die Krebsdiagnose erleichtern k\u00f6nnte \u2013 Schneller, kosteng\u00fcnstiger und detaillierter<\/strong><\/h2>\n\n\n\n

Forscher unter der Leitung des Europ\u00e4ischen Laboratoriums f\u00fcr Molekularbiologie  (EMBL) in Heidelberg und des Zentrums f\u00fcr Bioinformatik der Universit\u00e4t des Saarlandes in Saarbr\u00fccken, Deutschland, haben eine kosteng\u00fcnstigere und schnellere Methode entwickelt, um auf genetische Unterschiede in einzelnen Zellen zu pr\u00fcfen, die die bestehenden Techniken in Bezug auf die erhaltenen Informationen \u00fcbertrifft. Diese neue Methode k\u00f6nnte zu einem neuen Standard in der Einzelzellforschung und m\u00f6glicherweise zur klinischen Diagnose in der Krankheits-Genetik, einschlie\u00dflich Krebs, werden. Die Ergebnisse wurden in Nature Biotechnology<\/em> ver\u00f6ffentlicht.<\/p>\n\n\n\n

“Unsere neue Methode zur Untersuchung genetischer Variationen in einzelnen Zellen k\u00f6nnte das Fachgebiet des Mutationsnachweis ver\u00e4ndern”,<\/em> betont Ashley Sanders, einer der Hauptautoren der Studie, die am EMBL Heidelberg arbeitet. Mit der von ihr und ihren Kollegen entwickelten Methode \u2013 scTRIP (single cell tri-channel processing) \u2013 k\u00f6nnen sie genetische Variationen in der DNA einer einzelnen Zelle untersuchen und diese direkt bei der Bildung in neuen Zellen messen. Im Gegensatz zu den bisherigen Methoden, die nur gro\u00dfe Ver\u00e4nderungen im Genom erkennen konnten, kann scTRIP kleine Ver\u00e4nderungen sowie viele Arten von genetischen Variationen erkennen, die mit anderen Einzelzellmethoden nicht sichtbar sind.<\/p>\n\n\n\n

Die Forscher testeten ihre Methode bei der Untersuchung von Leuk\u00e4miezellen, die von Patienten stammen. In deren Proben fand das Team viermal mehr Varianten im Patienten, als in der klinischen Standarddiagnostik nachgewiesen wurden. Dazu geh\u00f6rte eine fehlende, klinisch relevante Translokation, die die \u00dcberexpression eines krebserregenden Gens verursachte.<\/em> Sie beobachteten weiterhin eine katastrophale Chromosomenumlagerung, die bei der ersten Leuk\u00e4miediagnose \u00fcbersehen wurde. Dies geschah wahrscheinlich, als ein einzelnes Chromosom zerbrach und dann in umgekehrter Reihenfolge wieder zusammenklebte.<\/p>\n\n\n\n

“Diese ersten Ergebnisse zeigen, dass unsere Methode die bestehenden deutlich \u00fcbertrifft. Unsere Methode ist viel schneller und kosteng\u00fcnstiger als die derzeit eingesetzten Methoden zur Aufdeckung genetischer Varianten in Einzelzellen. Das k\u00f6nnte f\u00fcr klinische Anwendungen sehr n\u00fctzlich sein” <\/em>, fasst Tobias Marschall vom Zentrum f\u00fcr Bioinformatik der Universit\u00e4t des Saarlandes<\/a> und vom Max-Planck-Institut f\u00fcr Informatik<\/a> zusammen. Das Team hat damit begonnen, den Einsatz der Methode zur Analyse verschiedener Formen von Leuk\u00e4mie zu erweitern und den potenziellen klinischen Nutzen zu bewerten.<\/p>\n\n\n\n

Da die Heterogenit\u00e4t einer Probe am besten auf Einzelzellebene untersucht werden kann, haben Forscher auf der ganzen Welt \u2013 darunter mehrere Gruppen am EMBL<\/a> \u2013 an der Entwicklung von Technologien zur Verbesserung der erhaltenen Informationen gearbeitet. “W\u00e4hrend bestehende Techniken zeigen, wie sich verschiedene Zellen verhalten oder auf Manipulation oder Behandlung reagieren k\u00f6nnen,<\/em> konzentrieren sich Forschung und Anwendung bisher auf die Messung der RNA in einer Zelle. <\/em>Die Messung der DNA in einer einzelnen Zelle hat jedoch bisher deutlich weniger Beachtung gefunden”<\/em> , erkl\u00e4rt Tobias Marschall. Da es erwartet wird, dass der Blick auf die DNA ein neues Verst\u00e4ndnis daf\u00fcr liefern wird, wie diese genetischen Ver\u00e4nderungen das Verhalten der Zellen beeinflussen, richtet sich die neue Methode an die Bed\u00fcrfnisse von Forschern und \u00c4rzten.<\/p>\n\n\n\n

scTRIP basiert auf einer Technologie, die Ashley Sanders w\u00e4hrend ihrer Promotion in Vancouver mitentwickelt hat. “scTRIP kombiniert Signale aus drei verschiedenen Informationskan\u00e4len innerhalb des genomischen Codes der einzelnen Zellen”,<\/em> erkl\u00e4rt Jan Korbel, Gruppenleiter am EMBL Heidelberg<\/a>. “Auf diese Weise k\u00f6nnen wir mit unserer Methode das gesamte Spektrum der DNA-Umlagerungen in einzelnen Zellen aufdecken.”<\/em><\/p>\n\n\n\n

Mit scTRIP setzen die Forscher nun ihre Forschung zu einer ganz grundlegenden Frage fort: Inwiefern unterscheidet sich eine Zelle im K\u00f6rper von jeder anderen Zelle, sowohl im Zusammenhang mit Krebs als auch in normalen Zellen? Bisher konnten sie diese Frage nicht beantworten, weil ihnen die Technologie dazu fehlte. “Mit scTRIP k\u00f6nnen wir nun direkt die Mutationsprozesse messen, die in Zellen ablaufen, um neue genetisch unterschiedliche Populationen zu erzeugen”<\/em> , sagt Ashley Sanders. F\u00fcr die n\u00e4chsten Forschungsschritte plant das Team, Mutationsprozesse in verschiedenen menschlichen Zelltypen zu untersuchen und die Auswirkungen zu bewerten, die diese Unterschiede auf die Krankheiten des Menschen haben.<\/p>\n\n\n\n

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EMBL desarrolla un nuevo m\u00e9todo que podr\u00eda facilitar el diagn\u00f3stico del c\u00e1ncer – de forma m\u00e1s r\u00e1pida, econ\u00f3mica y detallada<\/strong><\/h2>\n\n\n\n

Los investigadores del Laboratorio Europeo de Biolog\u00eda Molecular (EMBL) en Heidelberg y el Centro de Bioinform\u00e1tica de la Universidad de Saarland en Saarbr\u00fccken, Alemania, han desarrollado un m\u00e9todo m\u00e1s barato y r\u00e1pido para verificar las diferencias gen\u00e9ticas en c\u00e9lulas individuales, que es mucho m\u00e1s efectivo en el tratamiento de la informaci\u00f3n recibida que las t\u00e9cnicas existentes. Este nuevo m\u00e9todo podr\u00eda convertirse en un nuevo referente de la investigaci\u00f3n unicelular, especialmente en lo que concierne al diagn\u00f3stico cl\u00ednico en gen\u00e9tica de enfermedades, incluido el c\u00e1ncer. Los resultados han sido publicados en Nature Biotechnology<\/em>.<\/p>\n\n\n\n

\u00abNuestro nuevo m\u00e9todo para estudiar las variaciones gen\u00e9ticas en c\u00e9lulas individuales podr\u00eda transformar el campo de la detecci\u00f3n de mutaciones\u00bb,<\/em> destaca Ashley Sanders, una de las autoras principales del estudio y empleada del EMBL Heidelberg, Alemania. Ella y sus compa\u00f1eros desarrollaron un m\u00e9todo llamado scTRIP (procesamiento de una sola c\u00e9lula en tres canales), que les permite estudiar las variaciones gen\u00e9ticas en el ADN de una sola c\u00e9lula y medir directamente las variaciones gen\u00e9ticas a medida que se forman en nuevas c\u00e9lulas. A diferencia de los m\u00e9todos existentes que solo son capaces de detectar cambios a gran escala en el genoma, scTRIP puede detectar cambios a peque\u00f1a escala, adem\u00e1s de diversos tipos de variaciones gen\u00e9ticas que eran imposibles de detectar utilizando otros m\u00e9todos unicelulares.<\/p>\n\n\n\n

Los investigadores probaron su m\u00e9todo para estudiar las c\u00e9lulas de pacientes con leucemia. En su muestra, el equipo encontr\u00f3 cuatro veces m\u00e1s variantes en el paciente que las detectadas por los diagn\u00f3sticos cl\u00ednicos est\u00e1ndar. Estas evidenciaron la existencia de una translocaci\u00f3n cl\u00ednicamente relevante que pas\u00f3 desapercibida y que llev\u00f3 a la sobreexpresi\u00f3n de un gen causante de c\u00e1ncer.<\/em> Tambi\u00e9n observaron un reordenamiento catastr\u00f3fico de los cromosomas, que no se detect\u00f3 en el diagn\u00f3stico inicial de leucemia, y que probablemente se debi\u00f3 a la ruptura de un solo cromosoma, que al adherirse de nuevo, lo hizo en un nuevo orden.<\/p>\n\n\n\n

\u00abEstos primeros resultados muestran que nuestro m\u00e9todo est\u00e1 superando significativamente a los existentes. Nuestro m\u00e9todo es mucho m\u00e1s r\u00e1pido y barato que los m\u00e9todos que se utilizan en la actualidad para descubrir variantes gen\u00e9ticas en c\u00e9lulas individuales. Esto podr\u00eda ser muy \u00fatil para aplicaciones cl\u00ednicas\u00bb, <\/em>afirma Tobias Marschall, del Centro de Bioinform\u00e1tica en la Universidad de Saarland<\/a> y del Instituto Max Planck de Inform\u00e1tica<\/a>. El equipo ha comenzado a ampliar el uso del m\u00e9todo para analizar diferentes formas de leucemia y evaluar su potencial de utilidad cl\u00ednica.<\/p>\n\n\n\n

Como la heterogeneidad de una muestra puede estudiarse mejor a nivel unicelular, investigadores de todo el mundo, incluyendo varios grupos en el EMBL<\/a>, est\u00e1n trabajando en el desarrollo de tecnolog\u00edas para mejorar la informaci\u00f3n recibida. \u00abMientras que las t\u00e9cnicas existentes muestran c\u00f3mo las diferentes c\u00e9lulas pueden comportarse o responder a la manipulaci\u00f3n o al tratamiento, hasta ahora, tanto la<\/em> investigaci\u00f3n como la aplicaci\u00f3n se han centrado en la medici\u00f3n del ARN de una c\u00e9lula. Sin embargo, la medici\u00f3n del ADN en una sola c\u00e9lula ha recibido mucha menos atenci\u00f3n\u00bb,<\/em> explica Tobias Marschall. Como se espera que la observaci\u00f3n del ADN proporcione un nuevo nivel de comprensi\u00f3n de c\u00f3mo estos cambios gen\u00e9ticos originan diferentes comportamientos celulares, el nuevo m\u00e9todo aborda las necesidades tanto de los investigadores como de los m\u00e9dicos.<\/p>\n\n\n\n

scTRIP est\u00e1 basado en una tecnolog\u00eda que Ashley Sanders desarroll\u00f3 durante su doctorado en Vancouver. \u00abscTRIP combina se\u00f1ales de tres canales de informaci\u00f3n distintos dentro del c\u00f3digo gen\u00f3mico de la c\u00e9lula individual\u00bb,<\/em> explica Jan Korbel, l\u00edder del grupo EMBL Heidelberg<\/a>. \u00abAl hacerlo, nuestro m\u00e9todo nos permite descubrir el espectro completo de reordenamientos de ADN en c\u00e9lulas individuales. \u00bb<\/em><\/p>\n\n\n\n

Ahora, mediante scTRIP, los investigadores contin\u00faan su investigaci\u00f3n pregunt\u00e1ndose lo siguiente: en situaciones con pacientes con c\u00e1ncer y pacientes sanos, \u00bfqu\u00e9 es lo que diferencia a unas c\u00e9lulas de otras? Hasta ahora, no pod\u00edan responder a esta pregunta porque carec\u00edan de la tecnolog\u00eda para hacerlo. \u00abMediante scTRIP ahora podemos medir directamente los procesos mutacionales que act\u00faan en las c\u00e9lulas para generar nuevas poblaciones gen\u00e9ticamente distintas\u00bb,<\/em> dice Ashley Sanders. En las pr\u00f3ximas etapas en su investigaci\u00f3n, el equipo planea estudiar procesos mutacionales en diferentes tipos de c\u00e9lulas humanas y evaluar las consecuencias que estas diferencias tienen en t\u00e9rminos de enfermedades humanas.<\/p>\n\n\n\n

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L’EMBL co-d\u00e9veloppe une nouvelle m\u00e9thode qui pourrait faciliter le diagnostic du cancer – plus rapide, moins co\u00fbteuse et plus d\u00e9taill\u00e9e<\/strong><\/h2>\n\n\n\n

Des<\/strong> chercheurs du Laboratoire europ\u00e9en de biologie mol\u00e9culaire (EMBL) de Heidelberg et du Centre de Bioinformatique de l’Universit\u00e9 de Sarre \u00e0 Sarrebruck, en Allemagne, ont mis au point une m\u00e9thode moins co\u00fbteuse et plus rapide pour v\u00e9rifier les diff\u00e9rences g\u00e9n\u00e9tiques des cellules individuelles, qui d\u00e9passe les techniques existantes en termes d’informations re\u00e7ues. Cette nouvelle m\u00e9thode pourrait devenir une nouvelle norme dans la recherche sur les cellules uniques et, \u00e9ventuellement, pour le diagnostic clinique en g\u00e9n\u00e9tique des maladies, y compris le cancer. Les r\u00e9sultats ont \u00e9t\u00e9 publi\u00e9s dans Nature Biotechnology<\/em>.<\/p>\n\n\n\n

\u00ab Notre nouvelle m\u00e9thode d’\u00e9tude des variations g\u00e9n\u00e9tiques dans les cellules individuelles pourrait transformer le domaine de la d\u00e9tection des mutations \u00bb,<\/em> souligne Ashley Sanders, l’un des principaux auteurs de l’\u00e9tude, travaillant \u00e0 l’EMBL de Heidelberg, en Allemagne. La m\u00e9thode qu’elle et ses coll\u00e8gues ont mise au point, appel\u00e9e scTRIP (traitement tri-canal \u00e0 cellule unique), leur permet d’\u00e9tudier les variations g\u00e9n\u00e9tiques dans l’ADN d’une seule cellule et de mesurer directement les variations g\u00e9n\u00e9tiques lorsqu’elles se forment dans de nouvelles cellules. Contrairement aux m\u00e9thodes existantes qui ne permettaient de d\u00e9tecter que des changements \u00e0 grande \u00e9chelle dans le g\u00e9nome, le scTRIP peut d\u00e9tecter des changements \u00e0 petite \u00e9chelle, ainsi que de nombreux types de variations g\u00e9n\u00e9tiques qui \u00e9taient invisibles en utilisant d’autres m\u00e9thodes \u00e0 cellule unique.<\/p>\n\n\n\n

Les chercheurs ont test\u00e9 leur m\u00e9thode en \u00e9tudiant des cellules leuc\u00e9miques d\u00e9riv\u00e9es de patients. Dans leur \u00e9chantillon, l’\u00e9quipe a trouv\u00e9 quatre fois plus de variantes chez le patient que ce qui avait \u00e9t\u00e9 d\u00e9tect\u00e9 par les diagnostics cliniques standard. Cela inclut notamment une translocation cliniquement pertinente manqu\u00e9e qui a entra\u00een\u00e9 la surexpression d’un g\u00e8ne canc\u00e9rig\u00e8ne.<\/em> Ils ont \u00e9galement observ\u00e9 un r\u00e9arrangement chromosomique catastrophique qui n’avait pas \u00e9t\u00e9 d\u00e9tect\u00e9 lors du diagnostic initial de la leuc\u00e9mie. Cela s’est probablement produit lorsqu’un chromosome s’est bris\u00e9 et a ensuite \u00e9t\u00e9 recoll\u00e9 dans un nouvel ordre.<\/p>\n\n\n\n

\u00ab Ces premiers r\u00e9sultats montrent que notre m\u00e9thode surpasse largement les m\u00e9thodes existantes. Notre m\u00e9thode est beaucoup plus rapide et moins co\u00fbteuse que les m\u00e9thodes actuellement utilis\u00e9es pour d\u00e9tecter des variantes g\u00e9n\u00e9tiques dans les cellules individuelles. Cela pourrait \u00eatre tr\u00e8s utile pour des applications cliniques \u00bb<\/em>, r\u00e9sume Tobias Marschall, du Center de Bioinformatique de l’Universit\u00e9 de la Sarre<\/a> et de l\u2019Institut d\u2019Informatique Max Planck<\/a>. L’\u00e9quipe a commenc\u00e9 \u00e0 \u00e9tendre son utilisation de la m\u00e9thode pour analyser diff\u00e9rentes formes de leuc\u00e9mie et \u00e9valuer son utilit\u00e9 clinique potentielle.<\/p>\n\n\n\n

Comme l’h\u00e9t\u00e9rog\u00e9n\u00e9it\u00e9 d’un \u00e9chantillon peut \u00eatre \u00e9tudi\u00e9e au mieux au niveau d’une seule cellule, les chercheurs du monde entier – y compris plusieurs groupes \u00e0 l’EMBL<\/a> – travaillent \u00e0 l’\u00e9laboration de technologies visant \u00e0 am\u00e9liorer les informations re\u00e7ues. \u00ab Alors que les techniques existantes montrent comment diff\u00e9rentes cellules peuvent se comporter ou r\u00e9agir \u00e0 la manipulation ou au traitement,<\/em> la <\/em>recherche et l’application se sont jusqu’\u00e0 pr\u00e9sent concentr\u00e9es sur la mesure de l’ARN dans une cellule. Cependant, la mesure de l’ADN dans une cellule unique a jusqu’\u00e0 pr\u00e9sent re\u00e7u beaucoup moins d’attention \u00bb<\/em>, explique Tobias Marschall. Comme on s’attend \u00e0 ce que l’examen de l’ADN permette de mieux comprendre comment ces changements g\u00e9n\u00e9tiques entra\u00eenent diff\u00e9rents comportements cellulaires, la nouvelle m\u00e9thode r\u00e9pond aux besoins des chercheurs et des m\u00e9decins.<\/p>\n\n\n\n

Le scTRIP est bas\u00e9 sur une technologie qu’Ashley Sanders a co-d\u00e9velopp\u00e9e durant son doctorat \u00e0 Vancouver. \u00ab Le ScTRIP combine des signaux provenant de trois canaux d’information distincts provenant du code g\u00e9nomique de la cellule individuelle \u00bb<\/em>, explique Jan Korbel, chef de groupe \u00e0 l’EMBL de Heidelberg<\/a>. \u00ab Ainsi, notre m\u00e9thode nous permet de d\u00e9tecter le spectre complet des r\u00e9arrangements ADN dans les cellules individuelles. \u00bb<\/em><\/p>\n\n\n\n

Aujourd’hui, \u00e0 l’aide du scTRIP, les chercheurs poursuivent leurs recherches sur une question tr\u00e8s simple : Dans quelle mesure une cellule du corps diff\u00e8re-t-elle d’une autre cellule, dans le cas d\u2019un cancer tout comme dans les cellules normales ? Jusqu’\u00e0 pr\u00e9sent, ils n’\u00e9taient pas en mesure de r\u00e9pondre \u00e0 cette question parce qu’ils n’avaient pas la technologie pour le faire. \u00ab Gr\u00e2ce au scTRIP, nous pouvons maintenant mesurer directement les processus mutationnels qui agissent dans les cellules pour g\u00e9n\u00e9rer de nouvelles populations g\u00e9n\u00e9tiquement distinctes \u00bb<\/em>, explique Ashley Sanders. Pour les prochaines \u00e9tapes de sa recherche, l’\u00e9quipe pr\u00e9voit d\u2019\u00e9tudier les processus mutationnels dans diff\u00e9rents types de cellules humaines et d’\u00e9valuer les cons\u00e9quences de ces diff\u00e9rences en termes de maladies humaines.<\/p>\n","protected":false},"excerpt":{"rendered":"

Researchers have developed a cheaper and faster method to check for genetic differences in individual cells<\/p>\n","protected":false},"author":71,"featured_media":18061,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[2,17591],"tags":[38,641,43,420,1748],"embl_taxonomy":[],"class_list":["post-18046","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-science","category-science-technology","tag-cancer","tag-diagnostic","tag-heidelberg","tag-korbel","tag-press-release"],"acf":{"article_intro":"

EMBL co-develops new method that could facilitate cancer diagnosis<\/p>\n","related_links":[{"link_description":"","link_url":""},{"link_description":"","link_url":""},{"link_description":"","link_url":""},{"link_description":"","link_url":""}],"article_sources":[{"source_description":"

Sanders A. et al. Single-cell analysis of structural variations and complex rearrangements with tri-channel-processing; D. 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