1 00:00:00,690 --> 00:00:02,490 LIZ NOLAN: I like to solve problems. 2 00:00:02,490 --> 00:00:05,850 And I think I have a fascination with the natural world. 3 00:00:05,850 --> 00:00:09,390 And those merge well in the context of science. 4 00:00:09,390 --> 00:00:11,700 Not all bacteria are harmful. 5 00:00:11,700 --> 00:00:13,950 And in fact, if you consider a person 6 00:00:13,950 --> 00:00:17,640 on a cell-per-cell basis, there are more bacterial cells 7 00:00:17,640 --> 00:00:21,930 in us or on us than are eukaryotic or human cells. 8 00:00:21,930 --> 00:00:25,860 Many bacteria help us out, maybe with the digestion of food. 9 00:00:25,860 --> 00:00:29,250 But other types of bacteria have the propensity 10 00:00:29,250 --> 00:00:31,680 to invade tissues or produce toxins. 11 00:00:31,680 --> 00:00:34,260 And so if their populations get out of check, 12 00:00:34,260 --> 00:00:36,030 they make us sick. 13 00:00:36,030 --> 00:00:39,550 Just like humans or any animal, bacteria need food. 14 00:00:39,550 --> 00:00:42,250 In my lab, we're particularly interested in metal ions. 15 00:00:42,250 --> 00:00:45,040 And you might not think of metal ions as being food, 16 00:00:45,040 --> 00:00:48,180 but they are essential nutrients for all organisms. 17 00:00:48,180 --> 00:00:51,840 Bacteria seeking to colonize or survive 18 00:00:51,840 --> 00:00:54,180 within the host environment need methods 19 00:00:54,180 --> 00:00:56,760 to acquire certain metals. 20 00:00:56,760 --> 00:01:01,560 We respond first by using our innate immune response. 21 00:01:01,560 --> 00:01:03,130 MEGAN BROPHY: So it's kind of gross, 22 00:01:03,130 --> 00:01:04,750 but you can see some protein. 23 00:01:04,750 --> 00:01:07,770 And then you have fat on top where it's shiny. 24 00:01:07,770 --> 00:01:11,790 I work with a human protein called calprotectin. 25 00:01:11,790 --> 00:01:15,990 And it's secreted in response to bacterial infection. 26 00:01:15,990 --> 00:01:18,000 And when it encounters these bacteria, 27 00:01:18,000 --> 00:01:20,940 it chelates, so it grabs onto zinc and manganese 28 00:01:20,940 --> 00:01:24,030 in the environment and starves the bacteria. 29 00:01:24,030 --> 00:01:26,310 LIZ NOLAN: So zinc is an essential nutrient. 30 00:01:26,310 --> 00:01:29,700 And the general idea is that calprotectin is somehow 31 00:01:29,700 --> 00:01:31,920 acting as a sponge. 32 00:01:31,920 --> 00:01:37,400 In my lab, we over-express and purify calprotectin 33 00:01:37,400 --> 00:01:41,550 or [? mutants ?] where we have systematically 34 00:01:41,550 --> 00:01:45,780 changed an amino acid we think is important for calprotectin's 35 00:01:45,780 --> 00:01:50,370 mechanism and then utilize this purified protein 36 00:01:50,370 --> 00:01:53,070 in a suite of studies. 37 00:01:53,070 --> 00:01:57,780 We can come to conclusions about where the metal binds and how. 38 00:01:57,780 --> 00:02:01,530 We can also do experiments called titrations 39 00:02:01,530 --> 00:02:05,220 that allow us to determine how tightly the metal 40 00:02:05,220 --> 00:02:09,240 binds to a particular site and also what the selectivity is-- 41 00:02:09,240 --> 00:02:11,520 so does calprotectin have a preference? 42 00:02:11,520 --> 00:02:14,640 Does it prefer to bind zinc over manganese, 43 00:02:14,640 --> 00:02:17,980 over some other metal ion or not? 44 00:02:17,980 --> 00:02:21,540 In high school, I didn't like my chemistry class very much. 45 00:02:21,540 --> 00:02:24,720 And that motivated me to take chemistry first thing 46 00:02:24,720 --> 00:02:25,710 in college. 47 00:02:25,710 --> 00:02:27,690 And I loved it. 48 00:02:27,690 --> 00:02:30,840 I liked that it was quantitative. 49 00:02:30,840 --> 00:02:33,900 And I felt it overlapped well with courses 50 00:02:33,900 --> 00:02:36,480 I took in biology and geology. 51 00:02:36,480 --> 00:02:38,760 And when I ultimately decided on a major, 52 00:02:38,760 --> 00:02:41,520 I found chemistry the most appealing because 53 00:02:41,520 --> 00:02:44,070 of its broad applicability and ability 54 00:02:44,070 --> 00:02:47,130 to bring a molecular-level understanding 55 00:02:47,130 --> 00:02:50,560 to very complex questions. 56 00:02:50,560 --> 00:02:53,610 [MUSIC PLAYING]