Nova ferramenta pode ajudar na identificação de proteínas de ligação a carboidratos
Pesquisas inovadoras podem ajudar a aliviar os desafios associados ao estudo dos carboidratos.
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AEoAAMAAAABAAIAAAExAAIAAAAhAAAAtAEyAAIAAAAUAAAA1YdpAAQAAAABAAAA7AAAASQACAAIAAgAAABIAAAAAQAAAEgAAAABQWRvYmUgUGhvdG9zaG9wIDIyLjEgKE1hY2ludG9zaCkAMjAyMjoxMjoyMiAxMTo1NDoyNwAAAAAABJAAAAcAAAAEMDIzMaABAAMAAAAB//8AAKACAAQAAAABAAAD6KADAAQAAAABAAACmwAAAAAAAAAGAQMAAwAAAAEABgAAARoABQAAAAEAAAFyARsABQAAAAEAAAF6ASgAAwAAAAEAAgAAAgEABAAAAAEAAAGCAgIABAAAAAEAABNzAAAAAAAAAEgAAAABAAAASAAAAAH/2P/tAAxBZG9iZV9DTQAC/+4ADkFkb2JlAGSAAAAAAf/bAIQADAgICAkIDAkJDBELCgsRFQ8MDA8VGBMTFRMTGBEMDAwMDAwRDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAENCwsNDg0QDg4QFA4ODhQUDg4ODhQRDAwMDAwREQwMDAwMDBEMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwM/8AAEQgAawCgAwEiAAIRAQMRAf/dAAQACv/EAT8AAAEFAQEBAQEBAAAAAAAAAAMAAQIEBQYHCAkKCwEAAQUBAQEBAQEAAAAAAAAAAQACAwQFBgcICQoLEAABBAEDAgQCBQcGCAUDDDMBAAIRAwQhEjEFQVFhEyJxgTIGFJGhsUIjJBVSwWIzNHKC0UMHJZJT8OHxY3M1FqKygyZEk1RkRcKjdDYX0lXiZfKzhMPTdePzRieUpIW0lcTU5PSltcXV5fVWZnaGlqa2xtbm9jdHV2d3h5ent8fX5/cRAAICAQIEBAMEBQYHBwYFNQEAAhEDITESBEFRYXEiEwUygZEUobFCI8FS0fAzJGLhcoKSQ1MVY3M08SUGFqKygwcmNcLSRJNUoxdkRVU2dGXi8rOEw9N14/NGlKSFtJXE1OT0pbXF1eX1VmZ2hpamtsbW5vYnN0dXZ3eHl6e3x//aAAwDAQACEQMRAD8A9VSSSSUpJJJJSkkkklKSSSSUpJJJJSkkkklKSSSSUpJDyMjHxqnX5NjKaWxusscGtEna3c93t+k5SY9ljG2VuDmPAc1w1BB1a4JKZJKFttVLN9r21sHLnENH3uUgQRI1B4KSl0kkklP/0PVUkll9S6z6FjsbDa2zIYP0r3n9FTI3j1tv85bs/SfZ2f4P9Jdbj1WV2pKdMkAEkwBqSVSf1zpDJBy6nEctY4POn8mre5YdeJm9WItIOWw6jIyjto+OLitbts/kWej+k/7n2q5kdGy6MK+1uU59tVb31U0VNDXOa0uZX6b/ALTa7c4bdrLElJuh9UyLwMXqBH2ss9Vjg3aHNO31a9snbbi2P9N//Bejb/pfS2Fi9M6Tc66vMywaRU4vx8cH3Alrq/VyXtn3enY9rMet3ps/w1l/+AbrnTcrIyGZdbPtDKa9ramuNd1bi7c+7Fs3M/SWN9P/AAuM9no/o7f0vpJKdtJc90/rr6QG5lnrYklhynDbZS4cszmba/az6Nl3p1WY/wD2rp2frS6FJSkkkklKSSSSUpJJZ/WOr19JZRkZDQMR9mzIvLg0VNIc5tr5/M3NSJrdTj/XX6w4PTmU9PuxzlXZH6TaLTR6bWn2XNurD7W2+p/M+m3/AAfqb/8ASaH1T6jR1DoWM+lnpHHaMeyqZ2vqDWQ135zHN2vYqvVuudMvfTib2PxM1l1ObcGu3srLHNhpj6XqH9KzZZ6X+FrZ/OKHTepdK6c+jA6ZdU7pOPi25GTeDvcHNc3c+yxrvpu3Pdb+j/0f/W2C+IyscOkdv8KPq/w2YnF7Aj7chmErOTi9E4erTg/R/wAmi+u/XOm4tTOmXsttyLh6rW1PbXsHurre83Ntqs3u9T0qn4+Qz9H6v+DpW10DqGP1HpGNk4+4MLAwteSXNdX+isY9z3Pe7a9n03Pf6n01gdZ6x0LLOU670Dh29Nc5+e1rDeN7opprtsP5nqeqyqz/AA3/AFxanQ78HGtr6J0thtxcWkWXZJeHRZYfUayzaNrrr97r3/mf6L/g0PnJ0o1Hb1afLr+l+mqRw+zECMo5hL1SMrxzgf6v6H6DtpJJJ7C//9H0TrOdbj1Mx8Y7crJkVvgO2MbHrZG13td6e9jKm/8Aci2n/B+os7pHSqsxgvubOA0k0VOk+sZ3uy8hzvdfW+z31ep/Sf6dd6vqY/ohzN3UOp21gmMi0YTCNCKqg5+XtP7+md7/APiF0V92Ng4ll9pFONjVl7zENZXW3c47W/msY1JSPqWdT0/Buy77a6GVt0tvO2sOcfTq9V/5rHWuY1ZOH1zqFeVhM6yaMdudRU2mqlttjrMpxcbnNsjZRjMr2fo7W+z1a/1lGyOrZOa9+J0iom6p2Pcb7mj0H49sXetTZv3+9rLaa7Ps93p5Nf8AMbP0qo9Gb0/GpqzbczLxf2ZTY66nMvre63Htb6lOVmU1eq2tnp0fq3o/ZrP0Hp/4P00Oun1SHQH1jrd1D7JXjvurde3HryqXMfUSWWWXufYH7KvstlXo2473/a/9HjrYXE3F+FY/pmRWMrCzmNzDd0trMc2PsuFDWD0rt9DacT7Pn+v6vqXfZcu77X9nx71vUfWLodbqcKnJNwPo1UWs3XNsNjraGenfX6nrem/Ft+1W/Qo/w9iQQy6x0wv3Z+I2cpg/S1D/AA7G/wCD/d+0Mb/Rn/8AWLP0FqD9Xs1jYwA7dQ5nrYL9Y9L278fX/Qb630/917fS/wC0z1uLlsxv7O6jY5vtZjXMzK+8VXF7cpv/ALf/APgaKnqUkkKrKxrrLaqbWWWUODLmNcCWOI3BtjR9D2pKSpLhvrH9ZfrJV1RnTMPEdTk05HqYzmbntya9rm11PrLGsdU/1P1h/rfoXs/wVlPqruUBIEkDoyZMMscYSlw/rBxRAlGUuH+tw/KjyX2V49tlTPUtYxzmM/ecBLWf2nLjcunq3UfTf1AWXmsl1bW4+TSxhcNrtldG2z6P0fXvyNi7ZJOBpYCRqHzt31fzX7K3OuOIwtJxfst4Y7b7ocK9lO3f+kYz7N6dP+AZWkPq3cbzdZ6zhrsqZh21NbuAa/34xodbua3/AIP/AIX1V6IklfRPHLu8Dd0bJspFbW2VvaQ6u/7He+xjgd3qVvsu/R2fy6/T9P8AwXpovRun9Q6Rcy3Hda8tYaSx2HeGemSHVsbW272eht/Rfzn6P9Gu5SSv+CjOR3LW6ddkX4VN2Uz0r3tl7ILYP9R8vZ/UcrKSSC1//9LsOkjd1Shz+ScuwT3d6msf9u2K99Zq6h08ZVr8gMxXte6nH3H1Q5zanUW0Vh32mt7X/wA1f+rf9yP0O9LJyOmdLzZpwg/Kua6y6yhtYeGvd9Kxz3VOf69vu2M/nPStsVqvqNOdTdXgXNZlhh2NuY5pY4jbXZZj2ela6r1P8/8AfSU890fA6TnfWPKy2xRbitfQ7p20tfoWY/2i6+u17MvG2Uelj0f0fG/Tf4fehnptPS8jMZRgNyel1BleRlZmQx4oqZTZfb6X8/lsx8f08RnoW/pa/p49XobHqTul51WNdTfi3YuRk5ZrHVenOaLWsvcPtGV6XqWPxMa2973+kz1vRr/XL/1mr1VDEyaLcnFf069+blOLc7qNbLRT69XvwPt2z0HO6ltZX6foYfo9OtfVX6fofqqbptRSgrtPTmvpsz63dJzA5/UOr1hzhdbk+rsGE1py2UZNNbafWu9S7F+y/pPTq9NW6uhdSOD+yqWVYja80i7IxbW0ZXoFr3ftJtuLV6VOZkb/AOi/Zf5i30d9P8+qd7svP6Vk11XWCjFIzLcbPx2U1NwbmXPd0+umtl+Xddh47vS9T+Z9b+Zt/R+mtXpFtJ640dPPoVZeNXmZAyKrHZF9Yb9lxXfbbLX7WU+x/o5H6f32f6W1LS9uvRWr0y5n6zR9pv8A/CLt3327P/Ri6C/MxcZ9TMi1lTr3bKg4gbnfutXO55+39StrGrb7a8Jnmyovdlu/s/r7P+spyFfWTB2ZTMt5fZ9pivZt3NYWNc76eu31P9H6f+k96ysbMd0zLrznhjacYFopYXNttbaX7mu3MrZ7P52ur30W5HqW3XYv86u1zsQZuHdiue6sXNLS9kbhP9aWrEu+qj2Rbi3MdkNI2m6pgaGu9tsPoY29vsd+a/8AS/zP+E9RJLrdYvuo6fZbS41kFgfaACWVl7W33e4Ob+ip3v3v9lf84qvQs99wdhPBtdjtl2T6gtBDnO9Fjnzv9X0v9f5v1M/qOTldDoxel4Vj9rKrLrLvT9R+1rhu9KtrXVU0Vep+56WPT6FFS1egZbsvpwsexjHse+t5qbtY4tcW+pW33fT/AD/+F3qvZPM0JyHDD1YzH9XP+vDJ+9HjhxrjAjGJ6UTW/q+sf8GTpJLJ+sWRl004jcW5+O6/JZU99YYXbSy1+1vr131+51bf8GsXH6nflGwY3WrrzSdtoqOI/Y7X22bML2O9rlYWPYJLlPX6n/5Z5X3Yv/vEp4vVsnBzH252bdfhVYWTlXtsbSY+zuxj6jPs2Pj2bvTuu9iSnVzeoZT8v9m9Kax2W0Nfk32gmnHY7+b9RjHMfkZNu39Fissq/R/pr76P0H2jPz8WihwZl3ZWZaNr8i+11rmNrJ2M/Uemuxsb9I7fTW/0a/R/SZGR/N/pr3Qsa79jMtuLqc3qDTlZTxBey68by0GwWNf9jaa8XH9Vtn6DGorVN1DH5t+PWx11YeHH0P5x5/wnr5WQ5jLXY1rKvUx7LbWel6H6P0v0CBUtdTVhNpfXdl9KvtL9rXWOy6GtY7aw5dF1l9NVFm+l1v2V+PZX6n9Lq/nVp9P6hdba/Bz2No6jS0PcxhJrtrJ2tysVzvd6e72XVP8A02Lb+js/RWY2Tk0WfVuuwmx9jmtyW/rbbGV/aHFwH2it2Vjwxjb3fz3pN9n6T7JbRX6Howzel2YF7uqtybLfTyaH01WFzhVS/wBPCz6BZY+x76bWP+2el9D7TRjf6FMgchlPjiBEGsZBsyj+9JOj/9Ptc/pvUhdl53suaXBzamBzrXVNDWenXJayuylvqWMq/T/abt/9H9b9G3QsvEpvcx+wnMO7GzOfUa73txXWH/R/9pa/oWUf8PVkLoVidU6I5xsuw2Ntrul2RhOgNe4nc63Hc72V3vd77K3/AKG639Nvxsj1cixKdtUupdOoyunZOIKK7fWpNQqeTWx0A+nVZbSPVrp3u/wax8LrGbjuOPJygwa495NeUwf1nj9Oz9x1zff/ANzr1pM+sGCRNrL6Xfuuqe//AKeML6v/AARJTTwOi3XnHr6tSGjpHojBdS8tre5tdT7Mj2W+u7Ze19HoZP6N/p+t+k9X9DvrNd9YOnhpNYutPZrabBP9u1ldX/giz83ruW+GMjBbYYYTFuS/+TRRWLat/wDU+3f8UkBSm79YaS7GpuDC9tVsWgNL5rsa/HfNbQ9z2brWWWe38xZ3S23VdQx31YdjqWtNMGt1Lamug+vX6zamO9tbKvT2/wA3/Mf4Sq3U6GzPZjPGXvDC+cdtzt9wYQJF75f/AITf6W6yyz0v533rSSUpJJJJSkPHx6MalmPjVtpprG2uusBrWjwaxvtaiJJKcX6zia+ngcnMZ/57vWRTnY2X6n2e9uSaDtsbW7cWnX9GR+/7Fr/WePT6fOo+2M/893rJr+1tDzl5Lb2jWuK/SFbRJcHuN1/qe3/CfoklI3X1W4dlt7MjEqAIs3tfTcAI97Pszn5Df69P6RDwsfF6h1Xp2DVYbcZ+Nk33esbH2PpruxPSBdlfrDt+c1n8/wD4LF9H+bR6rqMyhz8PKaWGW/asaytwYRBc5t36bHY5jfpeo1N9VgbOsVZrrX5BzMXJdVfaWl7seu3Cqw9xpZVV+kb6uV7K/wDtUip3uj5rj0TDe9j7Lmtbj3sYNxbdVONlNP8AJqyKbWb1TOLTIxnY7zjeyquvLtsNrN81b8Oyr7XkN/R17vddX6fpb/0FfqWK5kUZHTsm7PwanZNOSQ7Nw2EB+8Btf2zE3lrHW+kxleTjPf8Ap6667sfZk1WU9QpYf2Dq91vrZIt2usDcS1wbkV1vc/c5zGtxszBsd7PQbb+mox/0f+FsTSpfA616dgDqbRRY9rdtj7bb6/Un0PUouq9X9K4fpfTtv9Cz9+quz0p5Wbl5fSq68rHOJk5uY3GqoJlxrbcXut/rfs6i7L/62pXZ31Zxs0OrfXf1CluyvDxSbrR/ORswaC/0nfprv1p9Vexltnq3+krOHiZN+WOqdQYK7gwsxMUEO9Ct+11nqvZ+jtzb9jPXez9Dj7Ps2L6n6xlZrMUckRITlx+omJrhqH7vpSaf/9T1VJJJJSHJw8TLaGZVLLmt1bvaDB/eZP0Hf1VRf9XsI/zVt9Q8Ba54/wDZj11qJJKctv1exAf0l2RaPA2bP/bcUOVvF6fg4cnGpZW5whzwJe7/AIy136Sz+25WUklKSSSSUpJJJJSkkkklOL9Z49Pp88fbGf8Anu9ZNDsol/2iuqsA/ovSsdZI11s9SnH9N38lnrLpeo9No6jUyu51lfpWC2t9Tixwc0ObO4fyXuVL/mzj/wDczM/7e/8AMUlPP9Uptvpq9NvqNrs32VBjbJ9ljKrfs1rqqsr7Ne6vI+zWP/SbN9f6emmtQ6AOqU9eL8fDBN2Nc5vrlmI17g/E+05f2XG+32Yj7f1ev0vS/S+h9os99q6P/mzj/wDczM/7e/8AMUbB6FjYWUMtt191ra3VN9awvAa91dlm1sNb7nUVJKV9k65f/P59eM3nbiUjeP5P2jNdlV2f+wdKg/6tdIv2nqFR6k5skfbXG9oJ5czHtnFqd/xNFa1UklI6MbHxqxVjVMprHDK2hrR/ZZDURJJJT//V9VSSSSUpJJJJSkkkklKSSSSUpJJJJSkkkklKSSSSUpJJJJSkkkklKSSSSU//2f/hDNhodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvADw/eHBhY2tldCBiZWdpbj0i77u/IiBpZD0iVzVNME1wQ2VoaUh6cmVTek5UY3prYzlkIj8+IDx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8iIHg6eG1wdGs9IkFkb2JlIFhNUCBDb3JlIDYuMC1jMDAzIDc5LjE2NDUyNywgMjAyMC8xMC8xNS0xNzo0ODozMiAgICAgICAgIj4gPHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj4gPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIgeG1sbnM6eG1wTU09Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9tbS8iIHhtbG5zOnN0RXZ0PSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvc1R5cGUvUmVzb3VyY2VFdmVudCMiIHhtbG5zOmRjPSJodHRwOi8vcHVybC5vcmcvZGMvZWxlbWVudHMvMS4xLyIgeG1sbnM6cGhvdG9zaG9wPSJodHRwOi8vbnMuYWRvYmUuY29tL3Bob3Rvc2hvcC8xLjAvIiB4bWxuczp4bXA9Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC8iIHhtcE1NOkRvY3VtZW50SUQ9IjhBMjBEQkU3MUE5QjE2NkVGNjA0N0ZDREU5Q0JDQkZGIiB4bXBNTTpJbnN0YW5jZUlEPSJ4bXAuaWlkOjAxOTgzNTZhLTg0YTctNDZiYy05NjZkLTM0ZDc3ZWJjZjJmYSIgeG1wTU06T3JpZ2luYWxEb2N1bWVudElEPSI4QTIwREJFNzFBOUIxNjZFRjYwNDdGQ0RFOUNCQ0JGRiIgZGM6Zm9ybWF0PSJpbWFnZS9qcGVnIiBwaG90b3Nob3A6Q29sb3JNb2RlPSIzIiBwaG90b3Nob3A6SUNDUHJvZmlsZT0iIiB4bXA6Q3JlYXRlRGF0ZT0iMjAyMi0xMi0yMlQxMTo1MzozNS0wNTowMCIgeG1wOk1vZGlmeURhdGU9IjIwMjItMTItMjJUMTE6NTQ6MjctMDU6MDAiIHhtcDpNZXRhZGF0YURhdGU9IjIwMjItMTItMjJUMTE6NTQ6MjctMDU6MDAiPiA8eG1wTU06SGlzdG9yeT4gPHJkZjpTZXE+IDxyZGY6bGkgc3RFdnQ6YWN0aW9uPSJzYXZlZCIgc3RFdnQ6aW5zdGFuY2VJRD0ieG1wLmlpZDowMTk4MzU2YS04NGE3LTQ2YmMtOTY2ZC0zNGQ3N2ViY2YyZmEiIHN0RXZ0OndoZW49IjIwMjItMTItMjJUMTE6NTQ6MjctMDU6MDAiIHN0RXZ0OnNvZnR3YXJlQWdlbnQ9IkFkb2JlIFBob3Rvc2hvcCAyMi4xIChNYWNpbnRvc2gpIiBzdEV2dDpjaGFuZ2VkPSIvIi8+IDwvcmRmOlNlcT4gPC94bXBNTTpIaXN0b3J5PiA8L3JkZjpEZXNjcmlwdGlvbj4gPC9yZGY6UkRGPiA8L3g6eG1wbWV0YT4gICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgI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)
Uma nova ferramenta do Imperiali Lab usa a evolução direcionada para gerar proteínas de ligação a glicanos (GBPs) a partir de pequenas proteínas de ligação ao DNA hipertermoestáveis. Créditos: cortesia dos pesquisadores.
Um dos principais obstáculos que aqueles que conduzem pesquisas sobre carboidratos estão constantemente trabalhando para superar é o conjunto limitado de ferramentas disponíveis para decifrar o papel dos açúcares. Como solução alternativa, a maioria dos pesquisadores utiliza lectinas (proteínas de ligação ao açúcar) isoladas de plantas ou fungos, mas são grandes, com ligação fraca e limitadas em sua especificidade e no escopo dos açúcares que detectam. Em um novo estudo publicado na ACS Chemical Biology , pesquisadores do grupo da professora Barbara Imperiali desenvolveram uma plataforma para resolver essa deficiência.
“O desafio com os polímeros de carboidratos é que sua biossíntese não é orientada por um modelo”, diz Imperiali, autor sênior do estudo e professor dos departamentos de Química e Biologia. “Biologia, medicina e biotecnologia foram alimentadas por avanços tecnológicos para proteínas e ácidos nucléicos. O campo de carboidratos está terrivelmente para trás e está procurando ferramentas desesperadamente”.
Identificação de proteínas de ligação a carboidratos
A biossíntese de carboidratos requer que cada ligação entre moléculas individuais de açúcar seja feita por uma enzima específica, e não há uma maneira pronta de decifrar as estruturas e sequências de carboidratos complexos. Anticorpos para carboidratos podem ser gerados, mas isso é desafiador, caro e resulta em uma molécula muito maior do que o realmente necessário para a pesquisa. Um recurso ideal para esse campo repleto de mecanismos limitados seria a descoberta de proteínas de ligação, de tamanho limitado, que reconhecem pequenos pedaços de carboidratos para montar uma estrutura usando esses ligantes ou métodos para detectar e identificar carboidratos específicos em estruturas complicadas.
Os autores deste estudo usaram a evolução dirigida e o design de tela inteligente para identificar proteínas de ligação a carboidratos de proteínas que não têm absolutamente nenhuma capacidade de se ligar a carboidratos. Suas descobertas estabelecem as bases para a identificação de proteínas de ligação a carboidratos com especificidade diversa e programável.
Simplificação para colaboração
Esse avanço permitirá que os pesquisadores busquem um alvo de açúcar definido pelo usuário sem serem limitados pelo que uma lectina faz ou desafiados pela capacidade de gerar anticorpos. Esses resultados podem servir para inspirar futuras colaborações com comunidades de engenharia para maximizar a eficiência do pipeline de exibição de superfície de levedura da glicobiologia. Do jeito que está, esse pipeline funciona bem para proteínas, mas os açúcares são alvos muito mais difíceis e exigem que o pipeline seja modificado.
Em termos de aplicações futuras, o potencial dessa inovação varia de diagnóstico a, a longo prazo, terapêutico e abre caminho para colaborações com pesquisadores do MIT e além. Por exemplo, o grupo de pesquisa da professora de química Laura Kiessling trabalha com o Mycobacterium tuberculosis (Mtb), que tem uma composição incomum da parede celular com açúcares únicos, distintos e exclusivos. Usando esse método, um fichário pode evoluir para esse recurso específico no Mtb. O professor de engenharia química Hadley Sikes desenvolve ferramentas de diagnóstico baseadas em papel onde o parceiro de ligação para um determinado epítopo ou marcador é estabelecido e, com o uso dessa descoberta, a longo prazo, um dispositivo de ensaio de fluxo lateral pode ser desenvolvido.
Preparando o terreno para soluções futuras
No câncer, certos açúcares estão super-representados nas superfícies das células, portanto, teoricamente, os pesquisadores podem utilizar essa descoberta, que também é passível de rotulagem, para desenvolver uma ferramenta a partir do aglutinante de glicano evoluído para detecção.
Esta descoberta também contribui significativamente para melhorar a imagem celular. Os pesquisadores podem modificar os aglutinantes com um fluoróforo usando uma estratégia de ligação simples e, então, escolher o melhor fluoróforo para imagens de tecidos ou células. O grupo Kiessling, por exemplo, poderia aplicar pequenos aglutinantes de proteínas marcadas com fluoróforo para detectar açúcares bacterianos para iniciar a triagem de células ativadas por fluorescência para sondar uma mistura complexa de micróbios. Isso, por sua vez, pode ser usado para determinar como o microbioma de um paciente foi perturbado. Ele também tem o potencial de rastrear o microbioma da boca de um paciente ou de seu trato gastrointestinal superior ou inferior para ler o desequilíbrio dentro da comunidade usando esses tipos de reagentes. Num futuro mais distante.