{"version":"1.0","provider_name":"UNI FR","provider_url":"https:\/\/www.uni.lu\/fr","author_name":"UNI FR","author_url":"https:\/\/www.uni.lu\/fr","title":"A computational guide to efficient cell differentiation","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"98QvteoEcO\"><a href=\"https:\/\/www.uni.lu\/fr\/news\/a-computational-guide-to-efficient-cell-differentiation\/\">A computational guide to efficient cell differentiation<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.uni.lu\/fr\/news\/a-computational-guide-to-efficient-cell-differentiation\/embed\/#?secret=98QvteoEcO\" width=\"600\" height=\"338\" title=\"\u00ab\u00a0A computational guide to efficient cell differentiation\u00a0\u00bb &#8212; UNI FR\" data-secret=\"98QvteoEcO\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(c,d){\"use strict\";var e=!1,o=!1;if(d.querySelector)if(c.addEventListener)e=!0;if(c.wp=c.wp||{},c.wp.receiveEmbedMessage);else if(c.wp.receiveEmbedMessage=function(e){var t=e.data;if(!t);else if(!(t.secret||t.message||t.value));else if(\/[^a-zA-Z0-9]\/.test(t.secret));else{for(var r,s,a,i=d.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),n=d.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),o=new RegExp(\"^https?:$\",\"i\"),l=0;l<n.length;l++)n[l].style.display=\"none\";for(l=0;l<i.length;l++)if(r=i[l],e.source!==r.contentWindow);else{if(r.removeAttribute(\"style\"),\"height\"===t.message){if(1e3<(s=parseInt(t.value,10)))s=1e3;else if(~~s<200)s=200;r.height=s}if(\"link\"===t.message)if(s=d.createElement(\"a\"),a=d.createElement(\"a\"),s.href=r.getAttribute(\"src\"),a.href=t.value,!o.test(a.protocol));else if(a.host===s.host)if(d.activeElement===r)c.top.location.href=t.value}}},e)c.addEventListener(\"message\",c.wp.receiveEmbedMessage,!1),d.addEventListener(\"DOMContentLoaded\",t,!1),c.addEventListener(\"load\",t,!1);function t(){if(o);else{o=!0;for(var e,t,r,s=-1!==navigator.appVersion.indexOf(\"MSIE 10\"),a=!!navigator.userAgent.match(\/Trident.*rv:11\\.\/),i=d.querySelectorAll(\"iframe.wp-embedded-content\"),n=0;n<i.length;n++){if(!(r=(t=i[n]).getAttribute(\"data-secret\")))r=Math.random().toString(36).substr(2,10),t.src+=\"#?secret=\"+r,t.setAttribute(\"data-secret\",r);if(s||a)(e=t.cloneNode(!0)).removeAttribute(\"security\"),t.parentNode.replaceChild(e,t);t.contentWindow.postMessage({message:\"ready\",secret:r},\"*\")}}}}(window,document);\n<\/script>\n","description":"A collaborative effort, led by Prof.\u00a0Antonio del Sol, head of Computational Biology groups at the Luxembourg Centre for Systems Biomedicine (LCSB) and at CIC bioGUNE, a member of the Basque Research and Technology Alliance, and\u00a0Prof. George Church\u00a0at Harvard\u2019s Wyss Institute for Biologically Inspired Engineering and Harvard Medical School (HMS), has developed a computational tool which significantly helps increase the efficiency of cell conversions. The team demonstrated their approach generates higher numbers of natural killer cells used in immune therapies, and of melanocytes used in skin grafts, than other methods. It also allowed to generate for the first time breast mammary epithelial cells, whose availability would be highly desirable for the repopulation of surgically removed mammary tissue.","thumbnail_url":"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/11\/2026\/03\/03120045\/UNIV_SM-Profile_1600x1600px-scaled.jpg","thumbnail_width":2560,"thumbnail_height":2560}