1 00:00:00,790 --> 00:00:07,360 [Music] 2 00:00:15,980 --> 00:00:12,860 thanks Mike hi everyone my name is Tony 3 00:00:19,310 --> 00:00:15,990 I'm coming here from LC Earth Life 4 00:00:21,439 --> 00:00:19,320 Science Institute in Tokyo and they 5 00:00:23,929 --> 00:00:21,449 provided some swag outside so I think 6 00:00:26,300 --> 00:00:23,939 it's all gone but there's some Flyers 7 00:00:27,830 --> 00:00:26,310 out there so please take a look and I'm 8 00:00:30,279 --> 00:00:27,840 going to be talking about some 9 00:00:33,620 --> 00:00:30,289 collaborative work I've been doing with 10 00:00:37,100 --> 00:00:33,630 LC city college New York and with 11 00:00:40,910 --> 00:00:37,110 Harvard so one of the major questions 12 00:00:44,030 --> 00:00:40,920 that a lot of people in astrobiology 13 00:00:45,440 --> 00:00:44,040 feel specifically the like when people 14 00:00:48,020 --> 00:00:45,450 are interested in studying the origin of 15 00:00:50,060 --> 00:00:48,030 life are how did the prebiotic building 16 00:00:52,970 --> 00:00:50,070 blocks form and from the warm up talk 17 00:00:54,590 --> 00:00:52,980 earlier we see that yeah it's very 18 00:00:56,779 --> 00:00:54,600 interesting to think about how Mino 19 00:00:59,180 --> 00:00:56,789 acids nucleotides or lipids form and 20 00:01:01,400 --> 00:00:59,190 more specifically how did these building 21 00:01:03,110 --> 00:01:01,410 blocks specifically polymerize or 22 00:01:05,810 --> 00:01:03,120 assemble into something larger and 23 00:01:09,469 --> 00:01:05,820 useful so peptides of proteins nucleic 24 00:01:12,230 --> 00:01:09,479 acids or vesicles and specifically I'm 25 00:01:16,249 --> 00:01:12,240 very interested in amino acids and 26 00:01:18,590 --> 00:01:16,259 peptides and on the early Earth there 27 00:01:21,230 --> 00:01:18,600 have been many or it's been shown that 28 00:01:22,910 --> 00:01:21,240 there are many possibilities for the 29 00:01:26,620 --> 00:01:22,920 emergence of amino acids and peptides 30 00:01:29,420 --> 00:01:26,630 for example extraterrestrial objects or 31 00:01:32,440 --> 00:01:29,430 atmospheric discharge or hydrothermal 32 00:01:35,660 --> 00:01:32,450 vents they can produce amino acids and 33 00:01:37,789 --> 00:01:35,670 volcanic gases or mineral surfaces can 34 00:01:41,240 --> 00:01:37,799 help to catalyze the conjugation of 35 00:01:45,410 --> 00:01:41,250 these amino acids into peptides longer 36 00:01:47,780 --> 00:01:45,420 amino acid containing chains and some 37 00:01:52,130 --> 00:01:47,790 recent work has also suggested that it's 38 00:01:54,350 --> 00:01:52,140 possible that amino acids nucleotides 39 00:01:56,660 --> 00:01:54,360 and lipid precursors could have been 40 00:01:59,420 --> 00:01:56,670 present all together on the early Earth 41 00:02:02,649 --> 00:01:59,430 which suggests that not only should we 42 00:02:06,050 --> 00:02:02,659 study how each of these classes of 43 00:02:09,469 --> 00:02:06,060 molecules emerges and interacts within 44 00:02:11,240 --> 00:02:09,479 their own population but also how these 45 00:02:12,259 --> 00:02:11,250 different polymers interact with each 46 00:02:15,380 --> 00:02:12,269 other 47 00:02:18,430 --> 00:02:15,390 one interesting system that's been 48 00:02:22,089 --> 00:02:18,440 studied previously is the formation of 49 00:02:26,000 --> 00:02:22,099 coacervate switch our face separated 50 00:02:28,430 --> 00:02:26,010 species that form from the interaction 51 00:02:29,839 --> 00:02:28,440 of two oppositely charged polymers and 52 00:02:31,100 --> 00:02:29,849 if there's a poster earlier on 53 00:02:33,229 --> 00:02:31,110 codemaster base I think there might be 54 00:02:35,180 --> 00:02:33,239 another one tomorrow so interesting 55 00:02:38,270 --> 00:02:35,190 stuff and essentially one of these 56 00:02:40,789 --> 00:02:38,280 coacervate switch are what this one 57 00:02:43,910 --> 00:02:40,799 specifically is produced from mixing ATP 58 00:02:48,680 --> 00:02:43,920 and poly lysine which is a cationic 59 00:02:51,229 --> 00:02:48,690 peptide forms these segregated globules 60 00:02:56,809 --> 00:02:51,239 that actually segregate and concentrate 61 00:02:59,270 --> 00:02:56,819 RNA so here we see the localization of a 62 00:03:04,100 --> 00:02:59,280 fluorescently labeled RNA into specific 63 00:03:06,589 --> 00:03:04,110 globules in this system but so one of 64 00:03:10,339 --> 00:03:06,599 the things that about the system that is 65 00:03:13,190 --> 00:03:10,349 kind of iffy is the requirement for a 66 00:03:15,770 --> 00:03:13,200 reasonably long peptide chain which on 67 00:03:18,470 --> 00:03:15,780 the prebiotic earth it's you know way 68 00:03:20,420 --> 00:03:18,480 more likely for a smaller polymer to 69 00:03:24,170 --> 00:03:20,430 have existed and conjugated rather than 70 00:03:26,210 --> 00:03:24,180 a longer polymer so this begs the 71 00:03:31,220 --> 00:03:26,220 question now can we utilize smaller 72 00:03:35,809 --> 00:03:31,230 peptides to self-assemble into longer 73 00:03:41,229 --> 00:03:35,819 structures that have similar activities 74 00:03:45,259 --> 00:03:41,239 and similar uses as longer their 75 00:03:46,940 --> 00:03:45,269 original longer peptides so specifically 76 00:03:49,550 --> 00:03:46,950 I'm interested in seeing if we can use 77 00:03:52,729 --> 00:03:49,560 shorter peptides to self-assemble into 78 00:03:56,809 --> 00:03:52,739 perhaps of binding or scaffolding system 79 00:03:59,809 --> 00:03:56,819 for early nucleic acids DNA or RNA the 80 00:04:03,289 --> 00:03:59,819 small peptide self-assembly field was 81 00:04:05,360 --> 00:04:03,299 pioneered maybe fifteen years ago in Tel 82 00:04:08,000 --> 00:04:05,370 Aviv and they actually started from this 83 00:04:10,990 --> 00:04:08,010 peptide which is the beta-amyloid 84 00:04:13,900 --> 00:04:11,000 peptide and 85 00:04:17,229 --> 00:04:13,910 they took two of the amino acids from 86 00:04:20,380 --> 00:04:17,239 this peptide and were able to isolate it 87 00:04:23,890 --> 00:04:20,390 and grow these nano tubular structures 88 00:04:28,270 --> 00:04:23,900 so from just the simple molecule which 89 00:04:30,930 --> 00:04:28,280 is very hydrophobic it forms it's very 90 00:04:32,130 --> 00:04:30,940 favored to form these large 91 00:04:35,920 --> 00:04:32,140 self-assembled 92 00:04:39,460 --> 00:04:35,930 products so what I was interested in 93 00:04:42,670 --> 00:04:39,470 seeing if this could be done was if we 94 00:04:45,880 --> 00:04:42,680 had some mixture of dipeptides 95 00:04:50,680 --> 00:04:45,890 tripeptides and maybe some RNA if these 96 00:04:53,110 --> 00:04:50,690 peptides could by assemble into some 97 00:04:56,110 --> 00:04:53,120 type of fibrillar structure that RNA or 98 00:05:00,720 --> 00:04:56,120 DNA could bind to so in collaboration 99 00:05:02,560 --> 00:05:00,730 with a lab at City College in New York 100 00:05:05,170 --> 00:05:02,570 previously they developed a 101 00:05:08,530 --> 00:05:05,180 computational system to calculate the 102 00:05:12,640 --> 00:05:08,540 aggregation propensity of all 8,000 try 103 00:05:16,990 --> 00:05:12,650 peptides and so there are 20 amino acids 104 00:05:19,090 --> 00:05:17,000 that are present on today's earth that 105 00:05:21,790 --> 00:05:19,100 are created biologically there are 106 00:05:25,570 --> 00:05:21,800 others abiotic ones but we'll just stick 107 00:05:27,250 --> 00:05:25,580 with the 20 biotic amino acids and so 108 00:05:29,890 --> 00:05:27,260 from here basically they're able to 109 00:05:33,970 --> 00:05:29,900 probe all 8,000 tri peptide sequences 110 00:05:37,150 --> 00:05:33,980 and so for example you'd read the first 111 00:05:39,130 --> 00:05:37,160 sequence on the x-axis the second letter 112 00:05:43,180 --> 00:05:39,140 on the y-axis and then within each box 113 00:05:46,570 --> 00:05:43,190 you'd pick the third amino acid and each 114 00:05:49,330 --> 00:05:46,580 box is colored it goes from very light 115 00:05:52,510 --> 00:05:49,340 to very dark and so the darker the spot 116 00:05:56,580 --> 00:05:52,520 the greater propensity for that specific 117 00:06:03,070 --> 00:05:59,469 self-assembled structure from this study 118 00:06:06,100 --> 00:06:03,080 we chose six specific peptides to prou 119 00:06:09,630 --> 00:06:06,110 RNA binding character each of these 120 00:06:13,630 --> 00:06:09,640 peptides contains either two large 121 00:06:16,330 --> 00:06:13,640 hydrophobic groups or smaller aliphatic 122 00:06:18,940 --> 00:06:16,340 groups and each one also specifically 123 00:06:22,000 --> 00:06:18,950 contains a charged amino acid in the 124 00:06:23,879 --> 00:06:22,010 first position so that RNA or DNA which 125 00:06:26,909 --> 00:06:23,889 has a negatively charged backbone 126 00:06:30,110 --> 00:06:26,919 and bind to something that's positively 127 00:06:35,249 --> 00:06:30,120 charged when theoretically these fibers 128 00:06:37,969 --> 00:06:35,259 assemble so we well we took these 129 00:06:41,040 --> 00:06:37,979 structures and first of all studied the 130 00:06:42,689 --> 00:06:41,050 aggregation propensity of these 131 00:06:45,570 --> 00:06:42,699 structures alone and from these 132 00:06:48,119 --> 00:06:45,580 microscope images we can see a kind of 133 00:06:51,360 --> 00:06:48,129 variable character for example two of 134 00:06:53,070 --> 00:06:51,370 these tripeptides don't really form any 135 00:06:57,689 --> 00:06:53,080 fibrillar structure they form some 136 00:06:59,580 --> 00:06:57,699 strange spherical structure the ry f 137 00:07:02,640 --> 00:06:59,590 tripeptide forms these needle-like 138 00:07:07,019 --> 00:07:02,650 structures but specifically we found two 139 00:07:09,059 --> 00:07:07,029 tripeptides kyf and rff that assemble 140 00:07:12,390 --> 00:07:09,069 into these long fibrillar structures 141 00:07:14,100 --> 00:07:12,400 that are fairly dense and we can see 142 00:07:16,679 --> 00:07:14,110 here that some of these structures are 143 00:07:20,159 --> 00:07:16,689 actually fairly thick as well so these 144 00:07:24,300 --> 00:07:20,169 two tripeptides became reasonable 145 00:07:26,879 --> 00:07:24,310 candidates to test for binding of RNA so 146 00:07:30,059 --> 00:07:26,889 the next thing that we tested was we 147 00:07:32,550 --> 00:07:30,069 actually introduced a fluorescent 148 00:07:35,399 --> 00:07:32,560 labeled RNA into one of these assembled 149 00:07:36,779 --> 00:07:35,409 tripeptide systems and so you see on the 150 00:07:40,200 --> 00:07:36,789 right here this is a fluorescence 151 00:07:45,209 --> 00:07:40,210 microscope image and it appears that the 152 00:07:49,170 --> 00:07:45,219 fluorescently labeled RNA is assembling 153 00:07:52,170 --> 00:07:49,180 or is localizing to these assembled 154 00:07:55,079 --> 00:07:52,180 fibrillar structures which suggests that 155 00:07:57,540 --> 00:07:55,089 it is interacting with the fibers 156 00:08:01,950 --> 00:07:57,550 themselves preferentially rather than 157 00:08:06,119 --> 00:08:01,960 just staying in the solution similarly 158 00:08:09,600 --> 00:08:06,129 we also observed a slightly a similar 159 00:08:13,409 --> 00:08:09,610 behavior with the rff tripeptide upon 160 00:08:15,510 --> 00:08:13,419 pepti RNA binding it was a little less 161 00:08:18,559 --> 00:08:15,520 apparent and one of the things we 162 00:08:21,570 --> 00:08:18,569 learned about the rff peptide was that 163 00:08:24,570 --> 00:08:21,580 this these structures only formed under 164 00:08:26,700 --> 00:08:24,580 specific conditions in phosphate buffer 165 00:08:29,760 --> 00:08:26,710 which is not very compatible with 166 00:08:32,159 --> 00:08:29,770 magnesium which is used in a lot of RNA 167 00:08:34,170 --> 00:08:32,169 and ribosomal reactions so we went 168 00:08:38,130 --> 00:08:34,180 forward and characterized further the 169 00:08:40,470 --> 00:08:38,140 kyf tripeptide and we also found 170 00:08:43,680 --> 00:08:40,480 that not only does single-stranded RNA 171 00:08:46,020 --> 00:08:43,690 bind to these fibrillar structures but 172 00:08:48,450 --> 00:08:46,030 also double-stranded RNA a different 173 00:08:51,810 --> 00:08:48,460 length of single-stranded RNA as well as 174 00:08:56,570 --> 00:08:51,820 single-stranded DNA and so it can bind 175 00:09:00,390 --> 00:08:56,580 to many different types of nucleic acids 176 00:09:04,500 --> 00:09:00,400 actually might just work here yeah so 177 00:09:08,520 --> 00:09:04,510 here now is something interesting that 178 00:09:11,700 --> 00:09:08,530 came out from this study in that now 179 00:09:15,150 --> 00:09:11,710 that we know that these fluorescently 180 00:09:20,760 --> 00:09:15,160 labeled RNA are apparently binding to 181 00:09:24,570 --> 00:09:20,770 the assembled fibril structures we 182 00:09:27,120 --> 00:09:24,580 thought oh can we use this RNA molecule 183 00:09:30,930 --> 00:09:27,130 this fluorescence now to probe the 184 00:09:33,900 --> 00:09:30,940 dynamics of the fibrils themselves so 185 00:09:36,390 --> 00:09:33,910 here this image or this movie we're 186 00:09:41,790 --> 00:09:36,400 going to be showing it's a time course 187 00:09:44,130 --> 00:09:41,800 of a self-assembling tripeptide fibril 188 00:09:47,760 --> 00:09:44,140 structure with fluorescently labeled RNA 189 00:09:51,720 --> 00:09:47,770 that localizes to these structures so 190 00:09:54,180 --> 00:09:51,730 I'm just going to play this and you can 191 00:09:55,710 --> 00:09:54,190 see over time that there's some dynamic 192 00:09:59,030 --> 00:09:55,720 change going on with these fiber 193 00:10:05,360 --> 00:09:59,040 structures they appear to be growing and 194 00:10:07,620 --> 00:10:05,370 changing over time play that again 195 00:10:11,580 --> 00:10:07,630 of course this raises a bunch of 196 00:10:13,920 --> 00:10:11,590 interesting questions like why is it 197 00:10:17,010 --> 00:10:13,930 growing from one side is the nucleation 198 00:10:18,810 --> 00:10:17,020 site important what about the substrate 199 00:10:21,180 --> 00:10:18,820 that it's growing on but at the very 200 00:10:23,520 --> 00:10:21,190 least now we've developed a system where 201 00:10:26,340 --> 00:10:23,530 previously the people studying 202 00:10:30,390 --> 00:10:26,350 tripeptide fibril assembly didn't really 203 00:10:32,760 --> 00:10:30,400 consider studying really specifically 204 00:10:35,760 --> 00:10:32,770 the dynamics of the assembly process 205 00:10:38,970 --> 00:10:35,770 itself but now we have a direct binding 206 00:10:42,330 --> 00:10:38,980 reporter and we can further probe this 207 00:10:45,600 --> 00:10:42,340 system and kind of study interesting 208 00:10:48,179 --> 00:10:45,610 things about it it's pretty nice to look 209 00:10:54,039 --> 00:10:51,160 yeah and so one of the things that I'm 210 00:10:55,900 --> 00:10:54,049 interested in working on next is using a 211 00:10:58,509 --> 00:10:55,910 system that's been developed called 212 00:11:02,109 --> 00:10:58,519 dynamic peptide libraries which actually 213 00:11:05,410 --> 00:11:02,119 you're able to start with a pool of very 214 00:11:07,840 --> 00:11:05,420 diverse small peptides and over time you 215 00:11:10,840 --> 00:11:07,850 can select out those peptides that form 216 00:11:13,329 --> 00:11:10,850 vibrator or other macro structures and 217 00:11:15,669 --> 00:11:13,339 so in that case where we want to try to 218 00:11:18,850 --> 00:11:15,679 find other peptides that have other 219 00:11:21,429 --> 00:11:18,860 interesting assembled structures with 220 00:11:24,939 --> 00:11:21,439 assembled functions for example RNA DNA 221 00:11:28,329 --> 00:11:24,949 binding or even structures that are more 222 00:11:30,519 --> 00:11:28,339 heat stable or that assemble in under 223 00:11:33,989 --> 00:11:30,529 specific you know metal iron conditions 224 00:11:37,900 --> 00:11:33,999 and also different mineral surfaces 225 00:11:40,900 --> 00:11:37,910 scaffolded by different different things 226 00:11:43,449 --> 00:11:40,910 and also finally to see if the 227 00:11:46,840 --> 00:11:43,459 localization of RNA onto these fibrils 228 00:11:49,989 --> 00:11:46,850 can somehow affect evolution of RNA or 229 00:11:52,119 --> 00:11:49,999 even template its polymerization so I'd 230 00:11:54,879 --> 00:11:52,129 like to thank my collaborators at 231 00:11:57,429 --> 00:11:54,889 Harvard at City College New York and 232 00:12:00,039 --> 00:11:57,439 University of Strathclyde and at growing 233 00:12:02,710 --> 00:12:00,049 again in the Netherlands and also this 234 00:12:05,650 --> 00:12:02,720 is my home Institute LC I have some 235 00:12:09,729 --> 00:12:05,660 funding support from LC origins network 236 00:12:11,799 --> 00:12:09,739 Eon and Tokyo Tech and so I have to plug 237 00:12:14,829 --> 00:12:11,809 this now if you want to know more about 238 00:12:17,859 --> 00:12:14,839 LC please come talk to me so every year 239 00:12:19,239 --> 00:12:17,869 we have a symposium in January the this 240 00:12:21,369 --> 00:12:19,249 following January there's going to be a 241 00:12:23,470 --> 00:12:21,379 winter school which is a two-week 242 00:12:25,919 --> 00:12:23,480 hands-on course that will be really cool 243 00:12:28,600 --> 00:12:25,929 and year round there's workshops and 244 00:12:31,090 --> 00:12:28,610 they're always hiring so if you're 245 00:12:33,579 --> 00:12:31,100 interested in doing a postdoc over at LC 246 00:12:35,710 --> 00:12:33,589 there's information out there or also 247 00:12:37,059 --> 00:12:35,720 come please please come talk to me so 248 00:12:39,210 --> 00:12:37,069 thank you very much for all your time 249 00:12:50,180 --> 00:12:39,220 happy to take questions 250 00:12:56,580 --> 00:12:53,670 questions about your movie uh mostly was 251 00:12:58,140 --> 00:12:56,590 it come focal microscopy secondly how 252 00:13:00,270 --> 00:12:58,150 thick is the structure that's going and 253 00:13:02,070 --> 00:13:00,280 is it an artifact of the imaging that 254 00:13:06,570 --> 00:13:02,080 everything looks like parallel to the 255 00:13:17,400 --> 00:13:06,580 glass surface so this is a confocal 256 00:13:21,990 --> 00:13:17,410 microscope image second question I'm not 257 00:13:24,270 --> 00:13:22,000 sure but in a 3d in a tube structure the 258 00:13:27,960 --> 00:13:24,280 entire structure forms a gel-like state 259 00:13:29,670 --> 00:13:27,970 so it can it should be very large three 260 00:13:39,240 --> 00:13:29,680 dimensionally it could be and third 261 00:13:44,620 --> 00:13:42,790 um I don't know the answer to that and 262 00:13:46,720 --> 00:13:44,630 we're actually right now probing also 263 00:13:49,710 --> 00:13:46,730 like whether different substrates have 264 00:13:56,310 --> 00:13:49,720 some effect on the assembly properties 265 00:14:00,580 --> 00:13:56,320 um I have a question about from the 266 00:14:02,830 --> 00:14:00,590 paper published by your collaborator the 267 00:14:07,000 --> 00:14:02,840 Nature Chemistry paper in which they has 268 00:14:11,980 --> 00:14:07,010 the yeah this exact one so it seems like 269 00:14:14,370 --> 00:14:11,990 um tryptophan rich tripeptides have the 270 00:14:16,120 --> 00:14:14,380 highest propensity for forming the 271 00:14:18,460 --> 00:14:16,130 self-assemble structure because it's 272 00:14:24,250 --> 00:14:18,470 like the w w is like all the way down 273 00:14:28,960 --> 00:14:24,260 the in the left lower left-hand side and 274 00:14:32,470 --> 00:14:28,970 i was wondering why the try peptide that 275 00:14:36,640 --> 00:14:32,480 you studied don't have any trip to vent 276 00:14:41,380 --> 00:14:36,650 um yeah so these were a smattering of 277 00:14:43,240 --> 00:14:41,390 different candidates we would like I 278 00:14:46,030 --> 00:14:43,250 would like to test all of them but that 279 00:14:47,830 --> 00:14:46,040 wasn't possible and also from previous 280 00:14:49,900 --> 00:14:47,840 studies that they've done there are a 281 00:14:52,210 --> 00:14:49,910 lot of solubility issues with many of 282 00:14:54,010 --> 00:14:52,220 these really hydrophobic peptides so we 283 00:14:55,930 --> 00:14:54,020 also wanted to make sure that the 284 00:14:57,400 --> 00:14:55,940 peptides we were working with could 285 00:15:03,970 --> 00:14:57,410 actually be analyzed in some 286 00:15:05,770 --> 00:15:03,980 constructive way hey nice talk I had a 287 00:15:07,450 --> 00:15:05,780 question about the composition of the 288 00:15:10,260 --> 00:15:07,460 fibers themselves and how well you guys 289 00:15:12,820 --> 00:15:10,270 understand what those actually are and 290 00:15:14,590 --> 00:15:12,830 how thick they are for instance if are 291 00:15:16,420 --> 00:15:14,600 they single fibers or they double fibers 292 00:15:19,300 --> 00:15:16,430 or do an idea 293 00:15:22,870 --> 00:15:19,310 um I don't specifically know a lot about 294 00:15:25,120 --> 00:15:22,880 this but I'm sure that the people in the 295 00:15:26,650 --> 00:15:25,130 lab in the U n lab at New York there are 296 00:15:30,220 --> 00:15:26,660 some people that are certainly studying 297 00:15:32,590 --> 00:15:30,230 this and they probably have a much 298 00:15:34,890 --> 00:15:32,600 better idea than I would have a guess 299 00:15:37,930 --> 00:15:34,900 it seems so it seems like the fibers are 300 00:15:40,020 --> 00:15:37,940 consistent between the different runs 301 00:15:43,450 --> 00:15:40,030 that you used to create them for 302 00:15:45,290 --> 00:15:43,460 specific conditions generally yes 303 00:15:47,420 --> 00:15:45,300 they're very highly conditioned 304 00:15:51,949 --> 00:15:47,430 dependent for example changing the 305 00:15:55,880 --> 00:15:51,959 buffer system could lead to no growth or 306 00:15:57,710 --> 00:15:55,890 like much denser growth okay thanks um 307 00:15:59,090 --> 00:15:57,720 and sort of following on that I have 308 00:16:00,949 --> 00:15:59,100 another question about the the fibril 309 00:16:02,540 --> 00:16:00,959 formation there have been some 310 00:16:05,120 --> 00:16:02,550 suggestions in the literature that just 311 00:16:07,160 --> 00:16:05,130 phenylalanine amino acids themselves can 312 00:16:08,180 --> 00:16:07,170 make fibrils so I was wondering what 313 00:16:09,650 --> 00:16:08,190 would the rationale for picking 314 00:16:11,750 --> 00:16:09,660 tripeptides was and whether you think 315 00:16:14,990 --> 00:16:11,760 some of this might happen with with just 316 00:16:16,819 --> 00:16:15,000 single or double amino yeah um yeah it 317 00:16:19,009 --> 00:16:16,829 would be really interesting if single or 318 00:16:22,100 --> 00:16:19,019 double if like we could study more about 319 00:16:25,130 --> 00:16:22,110 these like single amino acid diet I 320 00:16:26,900 --> 00:16:25,140 peptide assemblies 321 00:16:28,910 --> 00:16:26,910 I guess specifically for this study we 322 00:16:30,530 --> 00:16:28,920 we just wanted to make sure to include a 323 00:16:32,240 --> 00:16:30,540 cationic group because we were looking 324 00:16:34,699 --> 00:16:32,250 for RNA binding but if you're looking 325 00:16:36,560 --> 00:16:34,709 for something else like formation of a 326 00:16:38,030 --> 00:16:36,570 gel state for whatever reason to prevent 327 00:16:41,870 --> 00:16:38,040 diffusion or something you might be able 328 00:16:44,180 --> 00:16:41,880 to select out a single peptide single 329 00:16:46,940 --> 00:16:44,190 amino acid or die peptide and so this 330 00:16:49,730 --> 00:16:46,950 dynamic peptide library technique that's 331 00:16:50,720 --> 00:16:49,740 been developed they've they're able to 332 00:16:52,850 --> 00:16:50,730 you're able to start with a lot of 333 00:16:58,850 --> 00:16:52,860 different components and select out 334 00:17:00,480 --> 00:16:58,860 something that you want so cool alright 335 00:17:03,830 --> 00:17:00,490 thank you very much thank you