1 00:00:00,790 --> 00:00:07,320 [Music] 2 00:00:12,120 --> 00:00:09,050 [Applause] 3 00:00:15,930 --> 00:00:12,130 you know talk about expansion sequences 4 00:00:19,620 --> 00:00:15,940 in 5s RNA well this this is a very 5 00:00:23,330 --> 00:00:19,630 interesting story to me anyway we've 6 00:00:26,010 --> 00:00:23,340 published this paper back in 1981 and 7 00:00:29,130 --> 00:00:26,020 that means that it was published before 8 00:00:32,490 --> 00:00:29,140 the first 16s RNA complete sequence was 9 00:00:34,830 --> 00:00:32,500 available which means this was the first 10 00:00:37,860 --> 00:00:34,840 insertion sequence discovered and 11 00:00:40,080 --> 00:00:37,870 ribosomal RNA however that turns out not 12 00:00:42,060 --> 00:00:40,090 to be true because was in its infinite 13 00:00:45,930 --> 00:00:42,070 wisdom had done a catalogue of our 14 00:00:48,540 --> 00:00:45,940 ribosomal RNA fragments from 5s RNA from 15 00:00:51,270 --> 00:00:48,550 a clostridium and that actually had an 16 00:00:53,340 --> 00:00:51,280 insert as well so it's kind of 17 00:00:56,729 --> 00:00:53,350 interesting now the way this insert 18 00:00:59,069 --> 00:00:56,739 works is what's happening is you have 19 00:01:01,459 --> 00:00:59,079 extra material right here right and you 20 00:01:04,740 --> 00:01:01,469 come around and what happens if you 21 00:01:07,620 --> 00:01:04,750 cleave this out if you break this off 22 00:01:09,510 --> 00:01:07,630 and throw it away you can just reconnect 23 00:01:11,910 --> 00:01:09,520 this U and G and you have a perfectly 24 00:01:16,080 --> 00:01:11,920 normal secondary structure of the 5s RNA 25 00:01:18,539 --> 00:01:16,090 okay so so that's that's the key thing 26 00:01:21,210 --> 00:01:18,549 that you these insertion sequences of 27 00:01:22,980 --> 00:01:21,220 many of them you you can swittel remove 28 00:01:25,590 --> 00:01:22,990 them and you're right back to where you 29 00:01:28,350 --> 00:01:25,600 were and so they're not causing problems 30 00:01:30,510 --> 00:01:28,360 in particular okay so this is a it's 31 00:01:32,880 --> 00:01:30,520 more or less the secondary structure of 32 00:01:35,429 --> 00:01:32,890 5s RNA there's basically four and a half 33 00:01:37,770 --> 00:01:35,439 helical regions there's the fifth helix 34 00:01:42,679 --> 00:01:37,780 here which involves a non-standard base 35 00:01:47,100 --> 00:01:42,689 pairs okay so let's see how we do here 36 00:01:50,490 --> 00:01:47,110 erased the message managed to push the 37 00:01:53,240 --> 00:01:50,500 wrong button okay so this is what you've 38 00:01:56,340 --> 00:01:53,250 seen already today multiple examples of 39 00:01:58,890 --> 00:01:56,350 our insertion sequences that have been 40 00:02:02,100 --> 00:01:58,900 associated with with the large ribosomal 41 00:02:05,219 --> 00:02:02,110 RNAs and what we see here on the top is 42 00:02:07,230 --> 00:02:05,229 in fact the the thing growing as you go 43 00:02:09,210 --> 00:02:07,240 through a variety of organisms starting 44 00:02:11,699 --> 00:02:09,220 with E coli and ending up with human 45 00:02:14,520 --> 00:02:11,709 this grad graduate gets bigger as you 46 00:02:18,060 --> 00:02:14,530 keep inserting within the insert okay 47 00:02:20,680 --> 00:02:18,070 and so you know so the ribosomal RNA has 48 00:02:23,620 --> 00:02:20,690 grown over time 49 00:02:27,370 --> 00:02:23,630 well so what we wanted to do is to find 50 00:02:29,560 --> 00:02:27,380 out how common this insertion was in 5s 51 00:02:31,900 --> 00:02:29,570 RNA and what were some of the properties 52 00:02:34,030 --> 00:02:31,910 of this insertion so we did something 53 00:02:36,250 --> 00:02:34,040 which in retrospect was sort of stupid 54 00:02:39,340 --> 00:02:36,260 what we decided to do was to look for 55 00:02:41,140 --> 00:02:39,350 more examples okay and so this is an 56 00:02:43,480 --> 00:02:41,150 interesting thing you should be warned 57 00:02:45,390 --> 00:02:43,490 about if you if you probably know this 58 00:02:48,910 --> 00:02:45,400 but you really ought to be aware of it 59 00:02:53,530 --> 00:02:48,920 these databases are not very helpful if 60 00:02:55,600 --> 00:02:53,540 you want accurate information okay so 61 00:02:57,610 --> 00:02:55,610 there's a database here I'm sorry to 62 00:03:03,070 --> 00:02:57,620 name it specifically but this particular 63 00:03:05,050 --> 00:03:03,080 database is a database of 5s RNA s5s RNA 64 00:03:07,660 --> 00:03:05,060 sequences nothing else it doesn't 65 00:03:09,640 --> 00:03:07,670 contain the hallo caucus 5s RNA with the 66 00:03:12,040 --> 00:03:09,650 insert which is interesting since the 67 00:03:13,870 --> 00:03:12,050 hewa caucus 5s RNA was actually probably 68 00:03:16,300 --> 00:03:13,880 among the first ten that were actually 69 00:03:18,610 --> 00:03:16,310 even sequenced but it's not it's not 70 00:03:21,220 --> 00:03:18,620 even in the database in fact none of no 71 00:03:23,110 --> 00:03:21,230 large 5s RNA is in that particular 72 00:03:25,449 --> 00:03:23,120 database so they just simply have a 73 00:03:28,210 --> 00:03:25,459 prejudice against large they don't like 74 00:03:30,670 --> 00:03:28,220 inserts but we then we went to other 75 00:03:32,199 --> 00:03:30,680 more traditional places like like refseq 76 00:03:35,440 --> 00:03:32,209 and we looked at one hundred and twenty 77 00:03:40,480 --> 00:03:35,450 seven thousand genomes we found 157 78 00:03:43,060 --> 00:03:40,490 candidates for possible 5s rnas wood 79 00:03:44,860 --> 00:03:43,070 inserts and then there were then when 80 00:03:48,640 --> 00:03:44,870 you go through this it turns out that 81 00:03:50,590 --> 00:03:48,650 most of a lot of them are junk and 24 82 00:03:52,540 --> 00:03:50,600 would incorrect gene boundary so when 83 00:03:54,250 --> 00:03:52,550 people annotate these things they have a 84 00:03:56,170 --> 00:03:54,260 hard time finding where it starts and 85 00:03:58,150 --> 00:03:56,180 where it ends and you know that kind of 86 00:04:00,790 --> 00:03:58,160 thing and and there there's some 87 00:04:03,310 --> 00:04:00,800 problems like people have like with 88 00:04:05,260 --> 00:04:03,320 insertions in like it like there were a 89 00:04:07,420 --> 00:04:05,270 lot of 5s RNA is just sort of had a 90 00:04:09,160 --> 00:04:07,430 duplication in the middle of the 5s RNA 91 00:04:11,410 --> 00:04:09,170 and of course there were a lot of them 92 00:04:14,650 --> 00:04:11,420 in which various portions were just an 93 00:04:17,020 --> 00:04:14,660 so so the sequence was not complete so I 94 00:04:19,390 --> 00:04:17,030 can continue forever 95 00:04:21,880 --> 00:04:19,400 but it was so we ended up creating 96 00:04:24,370 --> 00:04:21,890 specialized search tools looking 97 00:04:26,500 --> 00:04:24,380 specifically for the sorts of 5s RNAs 98 00:04:28,990 --> 00:04:26,510 that we thought were interesting so in 99 00:04:30,880 --> 00:04:29,000 the end we found a bunch of them but I 100 00:04:33,760 --> 00:04:30,890 guarantee you we have not found them all 101 00:04:34,119 --> 00:04:33,770 ok but I would just like to say most of 102 00:04:38,079 --> 00:04:34,129 the one 103 00:04:42,399 --> 00:04:38,089 we found they're actually real and so we 104 00:04:45,009 --> 00:04:42,409 found 79 examples with 13 to 108 105 00:04:47,439 --> 00:04:45,019 residues as the insert and so we had put 106 00:04:49,179 --> 00:04:47,449 a boundary I think of 10 the in a 107 00:04:51,879 --> 00:04:49,189 minimum insert we would consider to be 108 00:04:54,249 --> 00:04:51,889 interesting was 10 so if so the smallest 109 00:04:55,899 --> 00:04:54,259 was 13 the largest was in fact the halo 110 00:04:58,989 --> 00:04:55,909 caucus one that we started with in the 111 00:05:02,769 --> 00:04:58,999 hundred and eight residues got 79 in the 112 00:05:07,839 --> 00:05:02,779 bacteria and then among the Archy we we 113 00:05:10,659 --> 00:05:07,849 have 10 examples here and 25 bacterial 114 00:05:14,259 --> 00:05:10,669 species so a lot of different organisms 115 00:05:16,749 --> 00:05:14,269 have this insertion of 5s RNA this is 116 00:05:18,850 --> 00:05:16,759 kind of a summary there is one rkl group 117 00:05:21,939 --> 00:05:18,860 which is the halo bacteria Alys which 118 00:05:24,100 --> 00:05:21,949 includes inhale caucus and hey will have 119 00:05:26,589 --> 00:05:24,110 OBM and a bunch of things and then a 120 00:05:29,230 --> 00:05:26,599 bunch of mainly anaerobic organisms in 121 00:05:31,329 --> 00:05:29,240 the Clostridium E's and the hail will 122 00:05:34,059 --> 00:05:31,339 have rallies how we say that the thermal 123 00:05:35,559 --> 00:05:34,069 era of bacteria always and alter 124 00:05:37,600 --> 00:05:35,569 modalities which is actually a 125 00:05:39,730 --> 00:05:37,610 gram-negative group and we were very 126 00:05:41,709 --> 00:05:39,740 upset we hadn't found any gram negatives 127 00:05:44,529 --> 00:05:41,719 until at the very very end of the search 128 00:05:47,829 --> 00:05:44,539 we and we found this guy here and so 129 00:05:51,909 --> 00:05:47,839 there's there's a fair number of these 5 130 00:05:54,249 --> 00:05:51,919 srna's containing insertions so this is 131 00:05:56,499 --> 00:05:54,259 a slide this has been previewed by the 132 00:05:59,889 --> 00:05:56,509 CIA and they don't want you to get 133 00:06:02,350 --> 00:05:59,899 access to this information so so if the 134 00:06:03,730 --> 00:06:02,360 print is very very small so that you 135 00:06:05,769 --> 00:06:03,740 know him if you're not in the first or 136 00:06:08,769 --> 00:06:05,779 second roll you can't read it however 137 00:06:11,230 --> 00:06:08,779 this is a summary this is a summary of 138 00:06:13,119 --> 00:06:11,240 how big the insert is so here's an 139 00:06:14,859 --> 00:06:13,129 organism name over here which you can't 140 00:06:18,639 --> 00:06:14,869 read and you don't care about anyway and 141 00:06:21,339 --> 00:06:18,649 and it has an insert of 61 residues okay 142 00:06:24,669 --> 00:06:21,349 and these down here this guy has 32 143 00:06:27,399 --> 00:06:24,679 residues this one here has 3 inserts 144 00:06:30,939 --> 00:06:27,409 that in the same organism has 3 inserts 145 00:06:34,029 --> 00:06:30,949 one of life 29 one of 39 in one of 85 146 00:06:37,629 --> 00:06:34,039 just sort of interesting and so we have 147 00:06:42,549 --> 00:06:40,449 there's also this is a grouping of the 148 00:06:46,689 --> 00:06:42,559 organisms that have the large inserts 149 00:06:47,620 --> 00:06:46,699 and it's basically what we have is that 150 00:06:48,940 --> 00:06:47,630 we have the 151 00:06:51,430 --> 00:06:48,950 certs I'm not going to show it to you 152 00:06:54,340 --> 00:06:51,440 but we have them categorized into kind 153 00:06:57,190 --> 00:06:54,350 of a structural grouping as to where 154 00:06:58,750 --> 00:06:57,200 they are and this kind of thing and so 155 00:07:01,270 --> 00:06:58,760 this is telling you the structure will 156 00:07:03,970 --> 00:07:01,280 do grouping and we have 17 groups 157 00:07:08,320 --> 00:07:03,980 distinct structural groupings and then 158 00:07:10,420 --> 00:07:08,330 this is showing you where which grouping 159 00:07:12,850 --> 00:07:10,430 it is in the well this is showing you 160 00:07:16,930 --> 00:07:12,860 the position I think okay the other 161 00:07:19,990 --> 00:07:16,940 thing anyway so there's turns out to be 162 00:07:24,310 --> 00:07:20,000 then 16 locations in which you find 5s 163 00:07:27,820 --> 00:07:24,320 RNA insertions and interesting thing 164 00:07:30,420 --> 00:07:27,830 here is if you go start here at the 5 165 00:07:33,310 --> 00:07:30,430 prime end and you walk around the 5s RNA 166 00:07:36,220 --> 00:07:33,320 when you come to these he oversees the 167 00:07:38,740 --> 00:07:36,230 insertion is always on the 3 prime stand 168 00:07:40,690 --> 00:07:38,750 always on the second half of the helix 169 00:07:43,210 --> 00:07:40,700 you know coming around 5 prime to 3 170 00:07:44,710 --> 00:07:43,220 prime is e to the to the second half of 171 00:07:47,020 --> 00:07:44,720 the helix that's where you get your 172 00:07:49,300 --> 00:07:47,030 insertions and the only exception to 173 00:07:51,010 --> 00:07:49,310 that is is right here I don't know if 174 00:07:54,250 --> 00:07:51,020 that means anything but it's kind of 175 00:07:57,040 --> 00:07:54,260 kind of strange and interesting now some 176 00:07:59,680 --> 00:07:57,050 of these insertions occur with greater 177 00:08:02,080 --> 00:07:59,690 frequency so there seems to be hotspots 178 00:08:03,580 --> 00:08:02,090 for insertion in different things so 179 00:08:08,590 --> 00:08:03,590 this is a subset of what was on the 180 00:08:11,700 --> 00:08:08,600 previous slide now we we have hot spots 181 00:08:15,010 --> 00:08:11,710 for insertion yes ok and some of these 182 00:08:17,290 --> 00:08:15,020 hot spots I mean we've been looking at 183 00:08:19,480 --> 00:08:17,300 the structure of the 5s RNA in this area 184 00:08:21,520 --> 00:08:19,490 right here is one of the most conserved 185 00:08:23,680 --> 00:08:21,530 parts of the 5s RNA so I'm kind of 186 00:08:26,080 --> 00:08:23,690 shocked to see you know insertions 187 00:08:28,780 --> 00:08:26,090 occurring here we had expected them over 188 00:08:33,520 --> 00:08:28,790 here from some prior mutation or work 189 00:08:37,300 --> 00:08:33,530 that we've done well I should tell you 190 00:08:39,959 --> 00:08:37,310 about 5s RNA and in particular 5s RNA is 191 00:08:43,630 --> 00:08:39,969 typically part of an operand 5s 16s 192 00:08:47,020 --> 00:08:43,640 2016's 23 s 5s is a common operon in 193 00:08:49,000 --> 00:08:47,030 Blunk bacteria and archaea and when 194 00:08:51,340 --> 00:08:49,010 they're frequently in many organisms 195 00:08:54,280 --> 00:08:51,350 there's multiple copies of the operon so 196 00:08:56,140 --> 00:08:54,290 e---coli has something like seven up 197 00:08:59,350 --> 00:08:56,150 seven or six or seven copies of the 198 00:09:01,330 --> 00:08:59,360 operon each of which has a 5s RNA and so 199 00:09:04,990 --> 00:09:01,340 in some of the cases 200 00:09:08,380 --> 00:09:05,000 these operons some of the organisms we 201 00:09:10,420 --> 00:09:08,390 looked at have in fact insertions and 202 00:09:11,830 --> 00:09:10,430 more than more than one copy of the 203 00:09:13,570 --> 00:09:11,840 insertion and one of the more 204 00:09:16,300 --> 00:09:13,580 interesting ones there's an organism 205 00:09:18,730 --> 00:09:16,310 which has six copies of the 5s RNA gene 206 00:09:22,990 --> 00:09:18,740 3 with the insertion and 3 without the 207 00:09:25,300 --> 00:09:23,000 insertion ok now if you only have one 208 00:09:28,030 --> 00:09:25,310 copy of the 5s RNA we assume it's 209 00:09:30,730 --> 00:09:28,040 functional if you have 6 copies of the 210 00:09:33,130 --> 00:09:30,740 identical 5s RNA it's probably also 211 00:09:34,960 --> 00:09:33,140 still functional but you know if there's 212 00:09:36,580 --> 00:09:34,970 only one copy we're pretty confident 213 00:09:40,000 --> 00:09:36,590 it's going to be functional because 5s 214 00:09:42,160 --> 00:09:40,010 RNA is kind of important in most 215 00:09:47,920 --> 00:09:42,170 organisms Anton will disagree with that 216 00:09:49,870 --> 00:09:47,930 note that ok so sometimes multiple genes 217 00:09:51,910 --> 00:09:49,880 exist but not all have the inserts so 218 00:09:54,310 --> 00:09:51,920 this is in the same organism you see 219 00:09:57,850 --> 00:09:54,320 you've got the insert here in this case 220 00:09:59,380 --> 00:09:57,860 and you it's not present here ok and so 221 00:10:01,780 --> 00:09:59,390 then that raises the question when 222 00:10:04,270 --> 00:10:01,790 there's more than one copy is this 223 00:10:06,130 --> 00:10:04,280 really functional we suspect so but we 224 00:10:10,840 --> 00:10:06,140 haven't done any experiments to indicate 225 00:10:13,300 --> 00:10:10,850 that so here's another case sometimes 226 00:10:17,440 --> 00:10:13,310 there's more than one example of the 227 00:10:19,990 --> 00:10:17,450 intron and so here's a case where we 228 00:10:23,410 --> 00:10:20,000 have in the same organism write it with 229 00:10:27,640 --> 00:10:23,420 two different versions of the 5s RNA one 230 00:10:30,310 --> 00:10:27,650 one of which has the well it has the 231 00:10:32,350 --> 00:10:30,320 insertion here right and this other one 232 00:10:34,960 --> 00:10:32,360 has the insertion in the same place as 233 00:10:38,560 --> 00:10:34,970 over here but it has an extra insertion 234 00:10:41,290 --> 00:10:38,570 out here small insertion here so that 235 00:10:44,320 --> 00:10:41,300 that's sort of there's lots of strange 236 00:10:47,110 --> 00:10:44,330 things that show up I should mention to 237 00:10:49,120 --> 00:10:47,120 you I suppose you know how is the 238 00:10:51,210 --> 00:10:49,130 insertion accommodated in the ribosome 239 00:10:55,030 --> 00:10:51,220 that's sort of a fundamental question 240 00:10:57,450 --> 00:10:55,040 and this is the predicted secondary 241 00:11:01,750 --> 00:10:57,460 structure of the hewa caucus insert and 242 00:11:04,360 --> 00:11:01,760 we have up here the 5 prime end of this 243 00:11:06,460 --> 00:11:04,370 thing ok and and the 3 goes all the way 244 00:11:08,500 --> 00:11:06,470 around back to the 3 prime end and so 245 00:11:11,140 --> 00:11:08,510 what we have are two major HeLa C's we 246 00:11:13,600 --> 00:11:11,150 have a helix here above the insert and 247 00:11:14,680 --> 00:11:13,610 we have this huge helix here below the 248 00:11:16,900 --> 00:11:14,690 insert and 249 00:11:18,580 --> 00:11:16,910 have predicted the predicted structure 250 00:11:21,130 --> 00:11:18,590 but it's probably pretty good because 251 00:11:23,560 --> 00:11:21,140 you got lots of base pairs and now 252 00:11:25,420 --> 00:11:23,570 there's we had a poster downstairs some 253 00:11:27,550 --> 00:11:25,430 of you may have noticed it and which we 254 00:11:30,670 --> 00:11:27,560 actually have been doing some cryo-em 255 00:11:33,850 --> 00:11:30,680 work with collaborators to understand 256 00:11:35,860 --> 00:11:33,860 the structure of the 5s RNA and we have 257 00:11:37,570 --> 00:11:35,870 how the inserts accommodated and it 258 00:11:39,160 --> 00:11:37,580 turns out that there's a little when you 259 00:11:41,500 --> 00:11:39,170 we have like a seven angstrom resolution 260 00:11:43,450 --> 00:11:41,510 structure and when you look at it 261 00:11:45,640 --> 00:11:43,460 there's two bulges there's a little very 262 00:11:47,560 --> 00:11:45,650 small bulge which apparently corresponds 263 00:11:49,600 --> 00:11:47,570 to this top part here and then there's a 264 00:11:51,340 --> 00:11:49,610 larger bulge which appears the core 265 00:11:54,160 --> 00:11:51,350 which is probably corresponds to this 266 00:11:56,680 --> 00:11:54,170 but what's likely happening is sort of 267 00:11:58,990 --> 00:11:56,690 speculative we're just saying this has a 268 00:12:01,420 --> 00:11:59,000 very extensive secondary structure so 269 00:12:03,910 --> 00:12:01,430 it's pretty much a rod and so what you 270 00:12:07,270 --> 00:12:03,920 can do is if you put that rod in the 271 00:12:08,740 --> 00:12:07,280 right place in the ribosome it'll just 272 00:12:10,840 --> 00:12:08,750 go out in the middle of nowhere and 273 00:12:13,660 --> 00:12:10,850 cause no problem so I suspect that's how 274 00:12:15,970 --> 00:12:13,670 they get accommodated by just a little 275 00:12:17,950 --> 00:12:15,980 bit of these asymmetrical loops along 276 00:12:19,600 --> 00:12:17,960 the way there's all these logical roofs 277 00:12:21,280 --> 00:12:19,610 that allow it to instead of being a 278 00:12:23,800 --> 00:12:21,290 totally straight thing it's probably 279 00:12:26,470 --> 00:12:23,810 bending a little bit and then it ends up 280 00:12:29,530 --> 00:12:26,480 going off in a direction which is not 281 00:12:35,340 --> 00:12:29,540 getting anybody's way and so that's sort 282 00:12:38,650 --> 00:12:35,350 of okay now before I talk about this 283 00:12:41,670 --> 00:12:38,660 there there's as they're gonna say I 284 00:12:44,650 --> 00:12:41,680 forgot so I won't talk about that 285 00:12:46,630 --> 00:12:44,660 these 5s RNA expansions are actually 286 00:12:48,880 --> 00:12:46,640 rare so I mean we found a lot right now 287 00:12:51,370 --> 00:12:48,890 so we finally 75 of them but the reality 288 00:12:54,850 --> 00:12:51,380 is that 75 out of hundred thousand 289 00:12:56,800 --> 00:12:54,860 genomes I mean it's they're pretty rare 290 00:12:59,740 --> 00:12:56,810 actually and only occurring in four 291 00:13:02,740 --> 00:12:59,750 general okay I don't know if it means 292 00:13:06,430 --> 00:13:02,750 anything but even the bacterial example 293 00:13:09,520 --> 00:13:06,440 sent me I mean the are actually the are 294 00:13:10,870 --> 00:13:09,530 actually hallo Felix so not all of them 295 00:13:12,820 --> 00:13:10,880 are hail effect but a lot of the 296 00:13:15,550 --> 00:13:12,830 organisms that have this insert or halo 297 00:13:17,680 --> 00:13:15,560 philic there appear to be for short 298 00:13:20,770 --> 00:13:17,690 locations which is not in the hot spots 299 00:13:23,380 --> 00:13:20,780 okay and frequently or sometimes 300 00:13:25,390 --> 00:13:23,390 multiple copies exists and we suspect 301 00:13:26,770 --> 00:13:25,400 most of them are actually functional 302 00:13:28,990 --> 00:13:26,780 okay and 303 00:13:31,720 --> 00:13:29,000 there's a question which comes up which 304 00:13:33,880 --> 00:13:31,730 is kind of the origins question why are 305 00:13:36,900 --> 00:13:33,890 they mostly recent now when you take 306 00:13:40,390 --> 00:13:36,910 when you have examples from the same 307 00:13:42,220 --> 00:13:40,400 organism from different species of the 308 00:13:44,020 --> 00:13:42,230 same organism so you get the genus and 309 00:13:46,540 --> 00:13:44,030 different species it's the same organism 310 00:13:48,760 --> 00:13:46,550 they have the 5s RNA and you compare the 311 00:13:50,770 --> 00:13:48,770 sequences what you find out is there are 312 00:13:53,770 --> 00:13:50,780 some sequence differences and those 313 00:13:56,620 --> 00:13:53,780 sequence differences do you know they 314 00:13:59,200 --> 00:13:56,630 take care of the structure okay they 315 00:14:03,250 --> 00:13:59,210 keep the structure valid and so the 316 00:14:05,530 --> 00:14:03,260 question we have is since then some of 317 00:14:06,970 --> 00:14:05,540 the some of them are old in the sense of 318 00:14:08,770 --> 00:14:06,980 you know a hundred thousand years but 319 00:14:10,540 --> 00:14:08,780 none of them are old in the sense of the 320 00:14:13,150 --> 00:14:10,550 four million years that we would like 321 00:14:15,850 --> 00:14:13,160 okay and some of the earlier talks and 322 00:14:19,020 --> 00:14:15,860 so I don't know why you don't have any 323 00:14:21,700 --> 00:14:19,030 old 5s RNA expansions but we don't and 324 00:14:29,190 --> 00:14:21,710 Jessica you she wants me to answer 325 00:14:36,990 --> 00:14:35,490 do we have any questions I was just 326 00:14:38,610 --> 00:14:37,000 wondering if there's been any rt-pcr 327 00:14:40,530 --> 00:14:38,620 work that demonstrates whether these 328 00:14:43,410 --> 00:14:40,540 insertions are actually edited out of 329 00:14:46,800 --> 00:14:43,420 the the ribosomal RNA are they edited 330 00:14:48,780 --> 00:14:46,810 out there they're simply immature cells 331 00:14:51,300 --> 00:14:48,790 they're not added at all I mean we 332 00:14:54,900 --> 00:14:51,310 haven't we have an ongoing experiment 333 00:14:57,420 --> 00:14:54,910 where we tried trying to insert them 334 00:14:59,550 --> 00:14:57,430 into the 23 s RNA institution so they 335 00:15:01,949 --> 00:14:59,560 interact with the 23 s RNA and we're a 336 00:15:04,439 --> 00:15:01,959 characteristic place and we want to we 337 00:15:07,590 --> 00:15:04,449 want to lock it in and see if the 5s RNA 338 00:15:11,009 --> 00:15:07,600 has to be separate from the 23 s RNA and 339 00:15:17,819 --> 00:15:11,019 that experiment has kind of ongoing for 340 00:15:19,110 --> 00:15:17,829 the last five years yeah I was just 341 00:15:23,150 --> 00:15:19,120 wondering whether there are any cases in 342 00:15:27,960 --> 00:15:23,160 which these sequences of RNA are ever 343 00:15:30,840 --> 00:15:27,970 translated I'm not sorry translated into 344 00:15:32,250 --> 00:15:30,850 proteins we're not supposed to be I 345 00:15:34,319 --> 00:15:32,260 guess but you know they're not supposed 346 00:15:37,259 --> 00:15:34,329 to be we haven't specifically 347 00:15:39,319 --> 00:15:37,269 specifically looked in the case of 5s 348 00:15:42,360 --> 00:15:39,329 RNA people have looked in the case of 349 00:15:44,819 --> 00:15:42,370 the large ribosomal RNAs and there's one 350 00:15:46,590 --> 00:15:44,829 area in the 23 s RNA that some people 351 00:15:48,630 --> 00:15:46,600 are convinced is coding 352 00:15:50,579 --> 00:15:48,640 even though it's in the 23 snrna gene 353 00:15:51,750 --> 00:15:50,589 and think might be coding something so 354 00:15:55,050 --> 00:15:51,760 they're happening but there hasn't been 355 00:15:57,150 --> 00:15:55,060 anything like that found for 5s RNA yeah 356 00:15:59,670 --> 00:15:57,160 yeah the other thing one thing I didn't 357 00:16:01,740 --> 00:15:59,680 mention is I showed you the way the 358 00:16:03,990 --> 00:16:01,750 insertion occurs you you cut it out and 359 00:16:06,780 --> 00:16:04,000 every goes away and there's no problem 360 00:16:08,400 --> 00:16:06,790 but occasionally some of them actually 361 00:16:09,990 --> 00:16:08,410 you can't just cut it out and put it 362 00:16:12,059 --> 00:16:10,000 back together you have to do some kind 363 00:16:12,569 --> 00:16:12,069 of insertion or deletion event along 364 00:16:14,250 --> 00:16:12,579 with it 365 00:16:16,590 --> 00:16:14,260 but the vast majority I mean it's a 366 00:16:20,280 --> 00:16:16,600 simple cut and it goes away and you just 367 00:16:28,620 --> 00:16:20,290 seal it back up thank you I allowed