Packet 7: Bonus 8
Note to moderator: Read the answerline carefully. Note to players: Description acceptable. The first cell line with this trait was generated using tissue collected from patient Henrietta Lacks without her consent. For 10 points each:
[10h] Identify this trait characteristic of cell lines like HEK 293 (“heck 2-9-3”) and HeLa (“HE-la”). Leonard Hayflick’s research on human fetal cells refuted a long-standing dogma that all cultured cells have this trait.
ANSWER: immortal [accept immortalized cell lines; accept word forms such as immortalization; accept descriptions that indicate proliferating indefinitely or dividing indefinitely or living forever; prompt on BUT DO NOT REVEAL cancerous by asking “what trait does that confer?”; reject answers indicating “reproduction”]
[10e] Immortalized cell lines like HeLa can be generated from cells affected by this broad condition, whose tumors can spread throughout the body during metastasis.
ANSWER: cancers [accept specific types like cervical cancer; accept word forms like cancerous]
[10m] Cells can also be immortalized through the expression of an enzyme that prevents the shortening of these structures. These structures contain many “TTAGGG” repeats and cap the ends of chromosomes.
ANSWER: telomeres [prompt on telomerases]
<Editors, Biology> | Packet G
| Editions | Heard | PPB | Easy % | Medium % | Hard % |
|---|---|---|---|---|---|
| 2 | 110 | 23.45 | 99% | 85% | 51% |
Conversion
| Team | Opponent | Part 1 | Part 2 | Part 3 | Total | Parts |
|---|---|---|---|---|---|---|
| Macalester | Michigan Tech | 10 | 10 | 10 | 30 | HEM |
| Minnesota | Iowa State | 0 | 10 | 0 | 10 | E |
| St. Thomas | Wisconsin C | 10 | 10 | 10 | 30 | HEM |
| Wisconsin A | Wisconsin B | 10 | 10 | 10 | 30 | HEM |
Summary
| Tournament | Edition | Exact Match? | Heard | PPB | Easy % | Medium % | Hard % |
|---|---|---|---|---|---|---|---|
| UK (North) | UK | Y | 5 | 16.00 | 100% | 40% | 20% |
| UK (South) | UK | Y | 8 | 21.25 | 100% | 88% | 25% |
| Northern California | US | Y | 4 | 30.00 | 100% | 100% | 100% |
| Southern California | US | Y | 7 | 25.71 | 100% | 100% | 57% |
| Eastern Canada (1) | US | Y | 4 | 22.50 | 100% | 100% | 25% |
| Eastern Canada (2) | US | Y | 9 | 23.33 | 100% | 67% | 67% |
| Florida | US | Y | 4 | 25.00 | 100% | 100% | 50% |
| Great Lakes | US | Y | 11 | 24.55 | 100% | 91% | 55% |
| Lower Mid-Atlantic | US | Y | 9 | 25.56 | 100% | 100% | 56% |
| Upper Mid-Atlantic | US | Y | 9 | 21.11 | 100% | 67% | 44% |
| Midwest | US | Y | 9 | 24.44 | 100% | 78% | 67% |
| North | US | Y | 4 | 25.00 | 100% | 75% | 75% |
| Pacific | US | Y | 8 | 22.50 | 100% | 100% | 25% |
| South Central | US | Y | 6 | 23.33 | 83% | 83% | 67% |
| Southeast | US | Y | 12 | 22.50 | 100% | 83% | 42% |
| Upstate NY | US | Y | 1 | 30.00 | 100% | 100% | 100% |