Gene expression profiling during gliogenesis in the Drosophila embryo. Angela Becker



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Gene expression profiling during gliogenesis in the Drosophila embryo Angela Becker

Introduction to the modellorganism Drosophila melanogaster the embryonic development structure and development of the central nervous system (CNS) neural stem cells and the regulation of cell fate choice

The embryonic CNS of Drosophila C

Three types of neural precursor cells in the CNS Neuroblast Neuro-Glioblast Glioblast

Regulation of cell fate choice NB Neuronal genes Neuronal fate NGB Neuron GB gcm repo pointed????? Activation of glial genes????? tramtrack Repression of neuronal genes Glia glial cells missing

Design and performance of a dual microarray approach

Aim: Identification of gcm-dependent target genes Genome-wide search based on microarray-experiments

Microarray Experiments wildtype situation mutant situation Cy3 labelled cdna RNA Preparation of total RNA (targets) Reverse transcription of mrna Labelling with fluorescent dyes RNA Cy5 labelled cdna

wildtype situation mutant situation Hybridization on microarrays Scanning the slide expressed in wildtype expressed in both expressed in both expressed in mutant

FlyArray, Heidelberg Genome annotation, gene prediction, primer calculation, PCR, and spotting were done by the FlyArray consortium Heidelberg (Groups of J. Hoheisel, R. Paro, F. Sauer) High density array with 47.616 spots: 21.306 double spotted ORFs plus 2502 controls,

Aim: Identification of gcm-dependent target genes Genome-wide search based on microarray-experiments two approaches : ectopic expression of gcm with the UAS/Gal4 System (gain-of-function/gof)

The UAS/GAL4 System Brandt and Perrimon, 1993

Ektopic expression of gcm transforms potential neurons into glial cells Stadium 12 10 (früh) 14 16 wt Mz1060:gcm Repo/BP102 anterior

Aim: Identification of gcm-dependent target genes Genome-wide search based on microarrayexperiments two approaches : ectopic expression of gcm with the UAS/Gal4 System (gain-of-function/gof) loss-of-function of gcm(lof)

Gcm loss-of-function embryos lack nearly all glial cells Stadium 12 (früh) 14 16 10 wt gcm - Repo/BP102 anterior

Microarray time course approach Mz 1060 Gal4 x UAS-gcm (gain-of-function, GOF) Stage 9 Stage 10 Stage 11 Stage 12 Stage 13 Stage 14 Stage 15 Stage 16 wt Stage 9 Stage 10 Stage 11 Stage 12 Stage 13 Stage 14 Stage 15 Stage 16 gcm N7-4 (loss-of-function, LOF) Stage 10 Stage 11 Stage 12 Stage 13 Stage 14 Stage 15 Stage 16 Repo/axonal marker

Checklist for quality controls and replicates before microarray evaluation Check developmental and genetic background (Antibody-staining) before RNA-Isolation Check degradation of Total-RNA (RNA-Gel) include dye-swaps (Cy3/Cy5) at least 4 replicates for each stage (double-spotted arrays)

Evaluation and result of the microarray approach

Quality control and determination of the methodical and genetic background determination of significantly wt vs. wt Gal4 vs. UAS differentially regulated genes Ratio 1.0 10279 Ratio 1.1 8624 10747 8985 Ratio 1.2 768 3018 equitation of non-equal genetic backgrounds Ratio 1.3 29 1725 by a pooled Ratio 1.4 wildtype 7 control 669 (GOF only) Ratio 1.5 Ratio 1.6 1 0 171 118 Ratio 1.7 0 79 Ratio 1.8 0 54 reliable and more sensitive evaluation of data Ratio 1.9 0 42 Ratio 2.0 0 32

Use of microarray-software Genepix as spotfinder : extraction of raw data MChips-Software: background subtraction normalization determination of correlation coefficient: comparison of replicates on the array filtering by intensity: at least one value above threshold filtering by ratio 1.5: at least one value above threshold filtering by reproducibility correspondance analysis (CA)

CA-Plot graphical illustration to see comparability of your replicated arrays and the difference between your data (wt:mutant)

Problem: Still too many candidate genes GOF No. of diff. reg. genes (total) Upregultated genes (>1.5) Downregulated genes (<-1.5) St. 9 St. 10 St. 11 St. 12 St. 13 St. 14 St. 15 St. 16 Total No. 877 743 425 395 388 107 107 111 1413 399 496 328 372 322 98 106 89 789 478 247 97 23 66 9 1 22 625 Mean overlap LOF St. 9 St. 10 St. 11 St. 12 St. 13 St. 14 St. 15 St. 16 Total No. No. of diff. reg. genes (total) 598 575 627 632 245 560 2086 Upregultated genes (>1.5) 353 193 180 269 161 386 1056 Downregulated genes (<-1.5) 245 382 447 363 84 174 1080 Mean overlap

The advantage of time course experiments: Profiling differentially regulated genes above ratio 1.5 298 potential candidate genes GOF Profiling GOF 790! 1080" LOF - expression profile in time course - strength of expression - comparison between GOF and LOF - profile of potential glial gene 131! 18!" 149" LOF

Manual Profiling of candidate genes Gene St. 9 St. 10 St. 11 St. 12 St. 13 St. 14 St. 15 St. 16 Sortieren aller 1,5fach differentiell regulierten Gene CG11164 +1.90 +2.17 +1.85 +2.28 +1.98 +1.81 +1.81 +1.89 ZNS ubiquitär entsprechend ihrem Expressionsprofil ISH result, Literature CG1962 +3.29 +3.03 +3.02 +3.20 +2.14 +2.28 +2.28 +1.93 ZNS, Glia + Neurone, BDGP CG2051 +1.50 +1.52 +1.47 +1.69 +1.84 +1.50 +1.44 +1.44 ZNS ab 14 schwach (LG, EG) CG16757 +1.73 +1.89 +2.04 +1.91 +1.77 +1.47 +1.35 +1.29 ML, ZNS Glia? CG4523 +1.62 +1.82 +1.77 +1.84 +1.66 +1.48 +1.44 +1.37 ZNS, Glia? Ptp10D Entfernen +1.62 von +2.04 Genen +1.49 +1.51 ohne +1.07 +1.21 Änderungen +1.32 +1.04 ZNS, der Glia differentiellen + Neurone csw +2.00 +2.18 +1.99 +1.56 +1.48 +1.44 +1.21 +1.25 ZNS ubiquitär CG8983 Regulation +1.98 +1.80 entlang +1.48 +1.25 der -1.25 Zeitachse +1.02 +1.09 +1.28 ML CG9796 +2.22 +2.38 +1.49 +1.09-1.47-1.29-1.02 +1.05 tendon cells CG7433 +1.47 +2.14 +2.45 +2.78 +1.97 +2.00 +1.87 +2.07 BDGP, schwach in LG gcm +1.03 +1.60 +1.51 +2.36 +2.54 +2.57 +2.41 +2.97 CG1677 +1.43 +1.62 +1.59 +1.80 +1.90 +1.46 +1.51 +1.56 Auswahl potentieller gcm-zielgene aufgrund ZNS ubiquitär, desevtl EG UbcD2 Verlaufsprofils, +1.37 +1.51 +1.51 der +1.59 Reproduzierbarkeit +1.94 +1.47 +1.56 +1.38 und ZNS ubiquitär, der Stärke nicht PNS der smid +1.41 +1.56 +1.70 +1.89 +1.43 +1.46 +1.46 +1.38 ZNS ubiquitär differentiellen Regulation Cam +1.44 +1.50 +1.82 +1.72 +1.94 +1.60 +1.62 +1.34 ZNS ubiquitär, PNS einzelne Zellen CG10326 +1.49 +1.60 +1.37 +1.79 +1.47 +1.26 +1.42 +1.21 ZNS, -ubiquitär CG8171 +1.31 +1.43 +1.53 +1.79 +2.09 +1.72 +1.67 +1.89 ZNS, Glia + Neurone CG6218 +1.00 +1.13 +1.43 +1.78 +1.63 +1.92 +2.23 +2.15 CBG RpII 140 +1.09 +1.48 +1.43 +1.58 +2.06 +1.68 +1.37 +1.53 ubiquitär, im ZNS in einzelnen Zellen (G+N) CG3227 Gruppierung +1.24 +1.09 von +1.38 positiv +1.64 +2.08 getesteten +1.41 +1.53 +1.20 Genen BDGP, und LG, EG, Auswahl PG neuer glu +1.43 +1.36 +1.34 +1.65 +1.76 +1.54 +1.44 +1.26 ZNS ubiquitär, später LG, EG, +, Egger Uba2 Kandidaten +1.15 +1.40 mit +1.39 vergleichbaren +1.51 +1.89 +1.40 +1.47 Expressionsprofilen +1.26 ZNS ubiquitär BcDNA:LD08534 +1.17 +1.04 +1.23 +1.38 +2.09 +1.59 +1.63 +1.88 ZNS Glia + Neurone, Egger CG15141 +1.43 +1.31 +1.29 +1.46 +1.60 +1.47 +1.64 +1.51 ZNS Neurone + Glia? Map60 +1.12 +1.08 +1.23 +1.39 +2.10 +1.35 +1.60 +1.47 BDGP, ZNS ubiquitär, evtl. EG, LG CG4266 +1.07 +1.30 +1.27 +1.36 +1.70 +1.21 +1.18 +1.26 ZNS ubiquitär CG4936 +1.07 +1.08 +1.12 +1.25 +1.91 +1.10 +1.24-1.06 ZNS Glia + Neurone CG6418 +1.08 +1.23 +1.33 +1.35 +1.60 +1.32 +1.36 +1.20 LG, EG, SPG?, CG?, Neurone aus mehr als 2900 differentiell regulierten Genen 1.25 wurden 400 Kandidaten gefiltert und getestet pnut +1.26 +1.31 +1.29 +1.23 +1.78 +1.27 +1.35 +1.44 ZNS ubiquitär CG1153 +1.12-1.09-1.07-1.25-1.12-1.42 +1.68 tendon cells CG15860 +1.00 +1.00 +1.01 +1.00 +1.03 +1.17 +1.17 +1.77 PNS, ZNS, SPG CG2893 +1.05 +1.00-1.05 +1.00 +1.02 +1.10 +1.17 +1.65 viele Glia!, BDGP CG3168 +1.02 +1.00-1.10-1.08-1.08 +1.02 +1.18 +2.07 BDGP, LG, SPG, CBG, PG, - EG, CG6783 +1.02 +1.02-1.23-1.08-1.15-1.11 +1.09 +2.03 Freeman, BDGP, CBG CG9336 +1.00 +1.00-1.07-1.06-1.07-1.04 +1.12 +1.75 exklusiv PG, CBG,ML, ZNS EG:22E5.11 +1.04 +1.00-1.03 +1.09 +1.10 +1.13 +1.20 +1.54 PG, SPG, CBG, CG, EG

Profiling of temporal regulation gain-of-function loss-of-function 2,5-1 Ratio 2 1,5 Ratio -1,5-2 -2,5-3 early regulated genes 1 9 10 11 12 13 14 15 16-3,5 9 10 11 12 13 14 15 16 Stage Stage 2,5-1 Ratio 2 1,5 Ratio -1,5-2 -2,5-3 mid regulated genes 1 9 10 11 12 13 14 15 16 Stage -3,5 9 10 11 12 13 14 15 16 Stage 2,5-1 Ratio 2 1,5 Ratio -1,5-2 late regulated genes 1 9 10 11 12 13 14 15 16 Stage -2,5 9 10 11 12 13 14 15 16 Stage

Array-Profile versus in vivo 3-1 2,5-1,5 Ratio 2 Ratio -2 1,5-2,5 1 9 10 11 12 13 14 15 16 gcm mutant Stage ISH, stage 14-3 9 10 11 12 13 14 15 16 ectopic gcm StageISH, stage 14 GOF CG6218 LOF Stage 11 Stage 12 Stage 13 Stage 14 Stage 15 Stage 16 wt ISH

Are the filtered candidate genes expressed in glial cells? HFA15994 HFA16115 HFA03125 HFA02311 HFA12894 wt ISH, stage 14 wt FISH #-Repo, stage 14, anterior

Potential candidate genes tested 103 72 53 novel gcm targets known gcm targets non-neuronal expression unconfirmed results 70 14 exclusively expressed in glia 12 expressed in glia and neurons 26 ubiquitously in CNS and PNS 10 expressed in hematopoetic lineage 8 expressed in muscle tendon cells

Further ways to explore the data filtering for GO-Annotation filtering for pathways Transkriptionsfaktoren 64; 25% 18; 7% 27; 10% Signaltransduktion 4-fold increase compared to genome Posttransl. Protein- Modifikationen Zellzyklus,Proliferation,Mitose 27; 10% Nukleinsäure Metabolismus 21; 8% 34; 13% 9; 3% 11; 4% 27; 10% 11; 4% 16; 6% strukt. Moleküle, Cytoskelett,Adhäsion Transporter,Antiporter,Ionen- Kanäle Exozytose,Endozytose Metabolismus,Enzyme andere unbekannte Funktion