View - ResearchGate

More documents

Recommendations

Info

xiiContentsPART III EXPERIMENTAL METHODS11 Gene Function Analysis Using the Chicken B-Cell Line DT40Randolph B. Caldwell, Petra Fiedler, Ulrike Schoetz,and Jean-Marie Buerstedde .......................................................... 19312 Design and Application of a shRNA-Based GeneReplacement RetrovirusRugang Zhang, Peter D. Adams, and Xiaofen Ye ............................... 21113 Construction of Simple and Efficient DNA Vector-BasedShort Hairpin RNA Expression Systems for Specific GeneSilencing in Mammalian CellsTsung-Lin Cheng and Wen-Tsan Chang ............................................. 22314 Selection of Recombinant Antibodies From Antibody Gene LibrariesMichael Hust, Stefan Dübel, and Thomas Schirrmann ...................... 24315 A Bacterial/Yeast Merged Two-Hybrid System: Protocolfor Yeast Screening With Single or Parallel BaitsNadezhda Y. Tikhmyanova, Eugene A. Izumchenko,Ilya G. Serebriiskii, and Erica A. Golemis ..................................... 25716 A Bacterial/Yeast Merged Two-Hybrid System: Protocolfor Bacterial ScreeningIlya G. Serebriiskii, Nadia Milech, and Erica A. Golemis .................. 29117 Engineering Cys2His2 Zinc Finger Domains Using a BacterialCell-Based Two-Hybrid Selection SystemStacey Thibodeau-Beganny and J. Keith Joung .................................. 317Index .............................................................................................................335
Page 2: Gene Function Analysis
Page 6: METHODS IN MOLECULAR BIOLOGYGene Fu
Page 12: PrefaceThis volume of Methods in Mo
Page 16: Prefaceixcolleagues demonstrate how
Page 22: ContributorsPETER D. ADAMS • Fox
Page 32: Gene Function Inference in Deletion
Page 56: [10.03]:Cell 2.6 [30]:Cellular 2.57
Page 64: 2Association Analysis for Large-Sca
Page 68: Table 1Tools That Can Perform Gene
Page 72:
Association Analysis for Large-Scal
Page 76:
Page 80:
Page 84:
Page 88:
Page 92:
Page 96:
36 Wang and Ochsfunction (9). Herei
Page 100:
38 Wang and Ochs1. Download the LS-
Page 104:
40 Wang and OchsFig. 1. The PattRun
Page 108:
42 Wang and OchsFig. 3. The PattRun
Page 112:
44 Wang and OchsFig. 4. The gene ta
Page 116:
46 Wang and Ochsresults posttreatme
Page 120:
4From Promoter Analysis to Transcri
Page 124:
Prediction Using PAINT 51even in si
Page 128:
Prediction Using PAINT 53Fig. 1. A
Page 132:
Prediction Using PAINT 55first exon
Page 138:
58 Gonye et al.Fig. 3. A network vi
Page 142:
60 Gonye et al.exGeneList.txt) is a
Page 146:
62 Gonye et al.(http://www.tm4.org)
Page 150:
64 Gonye et al.does not span the en
Page 154:
66 Gonye et al.4.7. Interpreting th
Page 158:
68 Gonye et al.18. Dozmorov, M. G.,
Page 162:
70 Uversky et al.in protein functio
Page 166:
72 Uversky et al.sequence space and
Page 170:
Table 1 (Continued)Server name URL
Page 174:
76 Uversky et al.1.5. When to Use t
Page 178:
78 Uversky et al.elucidating compos
Page 182:
Table 2Averaged Frequencies of Diff
Page 186:
82 Uversky et al.the box Raw Output
Page 190:
84 Uversky et al.peculiarities of t
Page 194:
86 Uversky et al.Fig. 4. Prediction
Page 198:
88 Uversky et al.13. Uversky, V. N.
Page 202:
90 Uversky et al.50. Vucetic, S., O
Page 206:
92 Uversky et al.84. Ritter, L. M.,
Page 210:
6Sybil: Methods and Software for Mu
Page 214:
Sybil: Multiple Genome Comparison a
Page 218:
Page 222:
Page 226:
Page 230:
Page 234:
Page 238:
Page 242:
7Estimating Protein Function Using
Page 246:
Estimating Protein Function Using P
Page 250:
Page 254:
Page 258:
Page 262:
Page 266:
Page 270:
Page 274:
Page 278:
Page 282:
130 Davuluriinteracting proteins an
Page 286:
Table 1Web URLs of Promoter, TF Dat
Page 290:
134 DavuluriPWM-based models do not
Page 294:
136 DavuluriTF-map alignments of or
Page 298:
138 Davuluridiscussed which program
Page 302:
140 DavuluriTable 2ER-a-Responsive
Page 306:
Table 3Sample Data Matrix Represent
Page 310:
Table 3 (Continued)Class MYCMAX MYC
Page 314:
146 DavuluriFig. 3. (A) CART Tree:
Page 318:
148 Davuluri11. Vlieghe, D., Sandel
Page 322:
150 Davuluri44. Berezikov, E., Gury
Page 326:
9Mining Biomedical Data Using MetaM
Page 330:
Mining Biomedical Data Using MMTx a
Page 334:
Page 338:
Page 342:
Page 346:
Page 350:
Page 354:
Page 358:
Page 362:
172 Ho et al.Fig. 1. Artificial exa
Page 366:
174 Ho et al.allowing for cases whe
Page 370:
176 Ho et al.A different measure is
Page 374:
178 Ho et al.3.1.3. LA and Generali
Page 378:
180 Ho et al.The ECF-statistic can
Page 382:
182 Ho et al.In the special case of
Page 386:
184 Ho et al.Fig. 5. An illustratio
Page 390:
186 Ho et al.Fig. 7. The power curv
Page 394:
188 Ho et al.this section were not
Page 398:
190 Ho et al.References1. Schena, M
Page 402:
IIIEXPERIMENTAL METHODS
Page 406:
194 Caldwell et al.for sequences th
Page 410:
196 Caldwell et al.query because it
Page 414:
198 Caldwell et al.Fig. 1. (A) Prot
Page 418:
200 Caldwell et al.outside primer o
Page 422:
202 Caldwell et al.5. Targeting scr
Page 426:
204 Caldwell et al.will allow the s
Page 430:
206 Caldwell et al.3.1.6. Plasmid P
Page 434:
208 Caldwell et al.PCR amplify the
Page 438:
210 Caldwell et al.8. Thawing cells
Page 442:
212 Zhang et al.Going one step beyo
Page 446:
214 Zhang et al.Fig. 2. Generation
Page 450:
216 Zhang et al.Perform PCR cycles,
Page 454:
218 Zhang et al.Fig. 4. Schematic m
Page 458:
220 Zhang et al.Fig. 5. Replacement
Page 462:
13Construction of Simple and Effici
Page 466:
DNA Vector-Based shRNA-Expression S
Page 470:
Page 474:
Page 478:
Page 482:
Page 486:
Page 490:
Page 494:
Page 498:
Page 502:
244 Hust et al.overcome by two appr
Page 506:
246 Hust et al.Fig. 1. Schematic de
Page 510:
248 Hust et al.interaction during p
Page 514:
250 Hust et al.3.4. Titering1. Inoc
Page 518:
252 Hust et al.10. Shortly before u
Page 522:
254 Hust et al.activity by preservi
Page 526:
15A Bacterial/Yeast Merged Two-Hybr
Page 530:
Screening in Yeast With a Bacterial
Page 534:
Page 538:
Page 542:
Page 546:
Page 550:
Page 554:
Page 558:
Page 562:
Page 566:
Page 570:
Page 574:
Page 578:
Page 582:
Page 586:
Page 590:
Page 594:
16A Bacterial/Yeast Merged Two-Hybr
Page 598:
Dual Bait-Compatible Bacterial Two-
Page 602:
Page 606:
Page 610:
Page 614:
Page 618:
Page 622:
Page 626:
Page 630:
Page 634:
Page 638:
Page 642:
Page 646:
318 Thibodeau-Beganny and Joungbeen
Page 650:
320 Thibodeau-Beganny and JoungFig.
Page 654:
Page 658:
324 Thibodeau-Beganny and JoungTypi
Page 662:
Page 666:
328 Thibodeau-Beganny and JoungPCR
Page 670:
330 Thibodeau-Beganny and Joung16-1
Page 674:
332 Thibodeau-Beganny and Joung2. P
Page 678:
334 Thibodeau-Beganny and Joung11.
Page 682:
336 IndexKknockin (gene knockin) 19
show all

View - ResearchGate

Create successful ePaper yourself

Delete template?

Save as template?