effect of age on the transcriptome of the human mii oocyte
TRANSCRIPT
Effect of age on the transcriptome
of the human MII oocyte
Marie Louise Grøndahl, DVM, PhD
Fertility Clinic, Hvidovre Hospital,
Copenhagen University Hospital
Denmark
Contents
• Cytoplasmic maturation
• The transcriptome of the human MII oocyte• The transcriptome of the human MII oocyte
• Effect of age on the MII transcriptome
Maturity of the oocyte
• ‘Nuclear maturation’ is used to describe the oocyte maturation stages of the chromosome compartment: GV, MI and MII
• ‘Cytoplasmic maturation’ covers the rest: the organelles, the transcriptome and the proteins stored in the cytoplasma during oogenesis.
Developmental competence
• timely translation of stored maternal transcripts
provide the ooplasma with new proteins
• post translational modification of stored or newly
synthesized protein sets the exact timing for
cellular eventscellular events
• processes involved in degradation of proteins and
mRNAs remove no longer needed molecules
The microarray technique has made it possible to approach the transcriptome part of the ’cytoplasmic maturation’.
The transcriptome of
the human MII oocytethe human MII oocyte
Materials and Methods
• 15 Women undergoing IVF/ICSI treatment
• Short antagonist protocol, Puregon and Orgalutran (Organon, Denmark)
• One COC and follicular fluid with mural granulosa cells was donated, if > 6 COCs granulosa cells was donated, if > 6 COCs available for the treatment
• Zona were removed with Tyrodes solution (MediCult, Denmark)
• The oocyte was flash frozen within one hour after ovum pick up
extraction and
amplification and
labelling of
mRNA (cRNA)(PicoPureTM Isoloation Kit (Arcturus, USA))
hybridization
to the gene chip
(R, dChip, Partek,
Ingenuity)
(Human Genome U133 2.0 Plus array fromAffymetrix (Affymetrix Inc., USA))
Results
Patient and treatment data
’Old’
Number of donated follicles 15 5
Age (years) 33.1± 2.7(27-39)
37,8±1,3(37-39)
FSH CD2-3 (IU/l) 5.9±2.0(2.0-13.0)
8,9±3,3 *(6,3-13,0)
BMI 22.6± 2.7 21,0 ±1,4BMI 22.6± 2.7 21,0 ±1,4
Reason for treatment Male factor: 10
Ovulationdefect: 3
Unexplained: 2
Male factor: 2
Ovulation defect: 1
Cycle number 1.2± 0.4 1,2± 0,4
FSH total (IU) 1785±383(1200-4050)
2345±1003*(1400-4050)
FSH days 8.9±1.6 8.8±0.8
No of oocytes 11.6±4.6 11,2± 4,6
“Follicle size” (ml) 2.5±0.9 2,5±1,0
Results / Discussion
• 10,428 transcripts representing 7,470 genes were present in the human MII oocyte
____________________________________
Sample Number of Sample Number of
transscriptswhole genome arrays
HumanIndividual
MII oocytes
8,125 (Woods et al. 2007)
Pooled
(3-10)
MII oocytes
4,801 - 12,031 (Wells and Patrizio, 2008), (Jones et al.,
2008),(Assou et al.,2006)
(Jaroudi et al., 2009). (Kocabas et al.,
2006).
Murine Pooled
(25-500)
MII oocytes
10,977- 13,892 (Hamatani et al., 2004)
(Pan et al., 2008)
ResultsEnrichment analysis
• In this list of expressed genes in the MII
oocytes, 5,213 of the expressed genes have
a biological and a molecular process term a biological and a molecular process term
assigned
• 2,257 genes have no functional term
assigned, yet.
Results
Biological functionCellular process
Biological regulation
Metabolic process
Developmental process
Establishment of localization
Response to stimulus
Multicellular organismal
process
e.g.
establishment of protein localization (20.0)
establishment of RNA localization (7.1) ‘reproductive process’
‘gamete generation’ (100 genes)
‘fertilization’ (14 genes)
process
Biological adhesion
Muti-organism process
Reproductive process
Immune system process
Localization
Growth
Locomotion
Rythmic process
Pigmentation
cellular metabolic process (65.7)
cellular organization (27.6)
cell cycle (24.4)
cell division (19.4)
microtubule based processes (6.5)
chromosome segregation (5.3)e.g.
macromolecular metabolic process (29.3)
electron transport chain (10.3)
Figures in ( ): enrichment score > 1 is significant; p < 0.001
Molecular function
Binding
Catalytic activity
Transcription regulator activity
Molecular transducer activity
Transporter activity
protein binding (45.5)
antigen binding (44.8)
nucleotide binding (21.8)
nucleic acid binding (20.7)
carbohydrate binding (10.4)
chromosome binding (6.8)
e.g
translation initiation factor activity (9.3)
translation elongation factor activity (2.8)
Transporter activity
Enzyme regulator activity
Structural molecular activity
Translational regulator activity
Electron carrier activity
Auxillar transport protein
activityAntioxidant activity
Proteasome regulator activity
e.g.
ligase activty (15.7)
isomerase activity (7.4)
transferase activity (6.5)
RNA splicing activity (5.5)
Figures in ( ): enrichment score > 1 is significant; p < 0.001
MII oocyte transcriptome
• List of expressed genes
• Biological function
• Molecular function
• Signalling pathways• Signalling pathways
• …….
Competent or incompetent oocyte?
• What characterize the developmental
machinery in a competent oocyte?
• Does the transcriptome part of the
‘cytoplasmic maturation’ differ?
• Age is a significant quality parameter!
20
25
30
35
40
45
%
Pos hCG
Ongoing
Implantationsrate
/ OPU
/ OPU
Hvidovre Hospital, 2003-2007
1st cycle
535 cycles
Transfer: 88%
DET:40%
1007 cycles
Transfer:86%
DET:65%
365 cycles
Transfer:75%
DET:60%
0
5
10
15
<30 years 30-36 years 37-39 years
Birth/ OPU
The effect of age on
the transcriptome of
the human MII oocytethe human MII oocyte
<36 years x 37-39 years
Results Patient and treatment data
Younger Older
Number of donated
oocytes
10 5
Age (years) 31.1± 2.7 (27-35) 37.8±1.3 (37-39)
FSH CD2-3 (IU/l) 4.5±1.7 8.9±3.3 *
Length of infertility
(years)
2.1±1.5 1.6±0.9
BMI 23.4± 2.5 21.0 ±1.4
Data are mean ± standard deviation. * P< 0.05
BMI 23.4± 2.5 21.0 ±1.4
Reason for treatment Male factor: 8
Ovulation defect: 2
Male factor: 2
Un-explained: 2
Ovulation defect: 1
Cycle number 1.2± 0.4 1.2± 0.4
FSH total (IU) 1,505±383 2,345±1,003*
FSH days 8.9±1.6 8.8±0.8
No of oocytes 11.9±3.8 11.2± 4.6
“Follicle size” (ml) 2.5±0.8 2.5±1.0
• 351 transcripts, 342
unique genes, (4,5%)
showed significant
oocyt-1
oocyt-2
oocyt-3
oocyt-4
oocyt-5
oocyt-6
oocyt-7
oocyt-8
oocyt-9
oocyt-10
oocyt-11
oocyt-12
oocyt-13
oocyt-14
oocyt-15
203765_at225342_at241443_at223282_at215048_at206448_at202794_at212989_at1568780_at
208859_s_at202275_at201844_s_at226079_at205809_s_at222667_s_at230552_at226614_s_at223195_s_at233076_at238353_at200607_s_at227267_at228368_at230027_s_at201702_s_at227016_at210778_s_at234339_s_at214358_at223849_s_at201783_s_at206114_at225650_at203319_s_at232116_at223101_s_at91952_at226833_at221871_s_at216693_x_at203094_at
219099_at219175_s_at228972_at201861_s_at226843_s_at216088_s_at209072_at204524_at200679_x_at201040_at207213_s_at204928_s_at1563321_s_at215732_s_at204318_s_at215942_s_at45653_at221503_s_at208620_at217795_s_at219239_s_at208779_x_at218719_s_at213198_at234725_s_at204003_s_at232204_at212152_x_at215264_at209407_s_at219924_s_at
212085_at203252_at38158_at202140_s_at210276_s_at218215_s_at213698_at213669_at206499_s_at223425_at210775_x_at227818_at212669_at223541_at219229_at234985_at1552540_s_at225091_at219437_s_at203491_s_at223382_s_at200993_at210649_s_at242959_at213286_at33148_at219146_at227152_at235728_at242647_at1557388_at
age type
28 28 29 29 30 30 32 34 35 35 37 37 38 39 39yo yo yo yo yo yo yo yo yo yo ol ol ol ol ol
Results / Discussion
134
showed significant
expression change with
age, fold change >1.5,
p <0.05
• 103 genes > 2 fold
• 239 genes >1.5 fold
1557388_at226815_at
218241_at239612_at217791_s_at236076_at1555882_at208286_x_at220072_at235645_at204507_s_at202296_s_at226767_s_at218676_s_at219682_s_at204222_s_at205591_at221765_at218533_s_at208627_s_at214451_at226176_s_at210950_s_at214838_at215535_s_at1558173_a_at218317_x_at222548_s_at223232_s_at200964_at217959_s_at242918_at236243_at
209094_at213353_at229573_at213122_at222273_at227636_at227641_at201503_at225811_at213206_at212183_at224955_at226430_at202903_at222243_s_at206245_s_at219119_at218683_at226660_at225264_at221825_at228562_at209272_at205347_s_at222209_s_at203860_at219147_s_at212071_s_at226052_at230102_at214097_at235141_at
230263_s_at201225_s_at224592_x_at223090_x_at210102_at227442_at201589_at209206_at224788_at222572_at225363_at202606_s_at217954_s_at201223_s_at221493_at238021_s_at200733_s_at212526_at200969_at227075_at206656_s_at224413_s_at215338_s_at231867_at203075_at203801_at228318_s_at234675_x_at213085_s_at224315_at202317_s_at212628_at
229835_s_at201826_s_at226085_at1554095_at204796_at223210_at203494_s_at1562921_at212774_at204824_at232183_at218342_s_at209409_at220030_at230785_at1562275_at203513_at221963_x_at213452_at225711_at216095_x_at230718_at226312_at225684_at218396_at223077_at225878_at225517_at235299_at1554043_a_at1557057_a_at
1553928_at239012_at218209_s_at244599_at228181_at223883_s_at203020_at221008_s_at235048_at218772_x_at244640_at225623_at202691_at226974_at206272_at206364_at223022_s_at229970_at219532_at1560990_a_at220945_x_at238890_at218422_s_at208828_at224990_at222390_at202515_at218259_at203983_at200749_at222606_at201535_at
208924_at242458_at209555_s_at229053_at201595_s_at218133_s_at201630_s_at224964_s_at206451_at225679_at212714_at218640_s_at203208_s_at222990_at218446_s_at1558905_at212335_at225023_at225337_at226425_at219312_s_at233899_x_at221918_at241342_at209847_at205583_s_at216944_s_at218877_s_at219276_x_at225611_at228396_at235158_at
204127_at220147_s_at219673_at219797_at228328_at235165_at219580_s_at229615_at212719_at228185_at205198_s_at212465_at201344_at225051_at242366_at228776_at1555274_a_at224810_s_at226917_s_at201887_at238719_at213348_at226032_at225810_at238992_at226807_at208838_at230352_at209130_at217894_at228920_at
206286_s_at232112_at1568791_s_at212747_at1568763_s_at1569110_x_at209707_at224209_s_at234464_s_at226550_at243624_at208999_at225546_at229131_at227425_at213405_at227547_at212448_at218754_at227731_at209295_at241344_at218465_at219702_at207538_at207539_s_at
-2.0 -1.6 -1.1 -0.7 -0.2 0.2 0.7 1.1 1.6 2.0
218
Results / Discussion
Age groups
(number of
biological
replicates)
Number of
Differentially
expressed genes
Array platform
Human <36 years (10)
>36 years (5)
351 transcripts / 4.5%
103 genes > 2 fold,
239 genes >1.5 fold
48,000 transcripts
Affymetrix, Human
Genome U133 2.0 Plus
Present study
Human
Oocytes failed to
fertilize after
<32 years (2)
32-40 years (1)
> 40 years (2)
608 transcripts / 28%
> 1.5 fold change
8,500 transcripts
Affymetrix ‘Human
Genome Focus Array’
Steuerwald et al.,
2007
fertilize after
IVF/ICSI
> 40 years (2) > 1.5 fold change Genome Focus Array’
Murine
MII oocytes
harvested 18 hrs
after hCG
5-6w (3)
42-45w (3)
530 transcripts /5%
99 transcripts > 2.0
431 transcripts > 1.5
22,000 transcripts
Agilent technolo-
gies NIA 22K array
Hamatani et al.,
2004
Murine
MII oocytes
harvested 16 hrs
after hCG
6 weeks (4) MII
66 weeks (4)
GV
2129 transcripts/ 13%
2001 transcripts >1.4
128 transcripts>2.0
335 transcripts / 2%
298 transcripts >1.4
47 transcripts > 2.0 fold
39,000 transscripts
Affymetrix ‘murine
genome array’
MOE430 v2
Pan et al., 2008
ResultsqRT-PCR confirmation of microarray data
Gene Symbol Ratio by microarray
5 older oocytes (37-39 years)
Ratio by real time PCR
2 older oocytes (39 years)5 older oocytes (37-39 years)
10 younger oocytes (27-35 years)
2 older oocytes (39 years)
4 younger oocytes (26-35 years)
SMAD2SMAD family member
2
0.42 0.38
MRPL43mitochondrial
ribosomal protein L43
2.50 1.40
ANAPC4anaphase promoting
complex subunit 4
0.65 0.08
ResultsEnrichment analysis of the differentially expressed genes
Cellular process
Biological regulation
Metabolic process
Establishment of
local ization
Developmental process
Response to stimulus
Multicellular organismal
process
Multi-organismal process
Biological adhesion
Reproductive process
Localization
Annotational term p-value
Cell compartment Intracellular 188 0.000074
Nucleus 75 0.004391
Cell cycle Cell cycle 27 0.002681
Mitotic cell cycle 13 0.00148
Regulation of mitosis 5 0.005004
Spindle / microtubule Cytoskeleton organization and biogenesis 19 0.00078
Spindle organization and biogenesis 4 0.000733
Cellular organization Cellular component organization and biogenesis 61 0.004947
Regulation of cellular component organization 6 0.002685
Golgi vesicle transport 9 0.001402
DNA DNA metabolic process 28 0.000248
DNA replication 10 0.003983
Nucleobase, nucleoside, nucleotide metabolic process 87 0.000507
Hydrolase activity, acting on ester bonds 21 0.004135Hydrolase activity, acting on ester bonds 21 0.004135
DNA repair DNA repair 10 0.016809
Response to DNA damage stimulus 13 0.010501
RNA Regulation of transcription from RNA polymerase II promoter 15 0.008099
Negative reg of transcript from RNA polymerase II promoter 7 0.008154
Metabolism Metabolic process 171 0.000035
Biopolymer metabolic process 122 0.000000
Catalytic activity 107 0.009242
Post translational
protein modification
Protein modification process 46 0.000565
Post-translational protein modification 43 0.000088
Protein catabolic process 12 0.000749
Ubiquination Protein ubiquitination 6 0.00222
Ubiquitin ligase complex 5 0.00569
Energy ATP binding 36 0.007735
Purine ribonucleotide binding 43 0.007701
Apoptosis Programmed Cell death 20 0.035156
Signalling and Protein kinase activity 28 0.009097
Developmental competence
• timely translation of stored maternal transcripts
provide the ooplasma with new proteins
• post translational modification of stored or newly
synthesized protein sets the exact timing for synthesized protein sets the exact timing for
cellular events
• processes involved in degradation of proteins and
mRNAs remove no longer needed molecules
Results ubiquination
• The most prominent function of ubiquitination is labelling of proteins
for protesomal degradation by the ubiquitin ligases. The proteasomal
degradation pathway is essential for many cellular processes including
the cell cycle regulation and progression, where cyclins are
ubiquitinated, i.e. is cyklin A degradated by the ubiquitin ligase,
anaphase promoting complex
• Ubiquilin 1 (1.6 fold), an anaphase promoting complex subunit,
ANAPC4 (1.6 fold) and two ubiquitin-conjugating enzyme genes
UBE2D (1.9 fold) and UBE4B (1.8 fold) were down regulated while
three genes for ubiquitin specific peptidases USP2, USP34 and USP42
were up-regulated (2.9, 1.6 and 1.6 fold, respectively).
• These findings showing mainly reduction in the ubiquitination by age
is in accordance with previous findings on murine (Hamatani et al.,
2004) and human oocytes (Steuerwald, et al., 2007).
Results cell cycleNumber one signalling network affected by age
‘organism development and cell cycle’
Activin A receptor 1B was up-regulated (1.5 fold) in
the older oocytes compared to the younger oocytes
Down-regulated
Up-regulated
SMAD2 was down-regulated (2.8 fold) in the
older oocytes compared to the younger oocytes
SMAD2
Table II. mRNA expression pattern in human oocytes and preimplantation embryos. The figures show the number of oocytes and preimplantation embryos that were positive, and the figure in parentheses shows the number of patients that donated the material
Gene Oocyte (3) 4-cell (3) 8-cell (4) Morula (6) Blastocyst (10)
TGFßR-I 3/5 0/4 0/5 0/6 7/1015/15TGFßR-I 3/5 0/4 0/5 0/6 7/10
TGFßR-II 4/5 0/4 0/5 0/6 0/10
Smad2a 5/5 4/4 5/5 6/6 8/10
TGFßR-I = transforming growth factor (TGF)ß receptor type I;
TGFßR-II = TGFß receptor type II.
aRT–PCR product obtained using primer for Smad 2/3 was by
sequencing shown to be Smad2.
Österlund and Fried, 2000
15/15
TGFßR-III 15/15
15/15
Results/Discussion
SMAD2
• SMAD2 was significantly down regulated (1.5 fold) in MII
oocytes from aged compared to young mice. Pan et al 2008
• Presence and dosage of SMAD2 have been shown to have • Presence and dosage of SMAD2 have been shown to have
an essential role in early embryonic development in studies
with mutant mice and in vitro culture of mice oocytes with
inhibition of SMAD2 signalling. Weinstein, Yang et al., 1998,
Nomura and Li, 1998.
• Separase was up-regulated (1.6 fold) in the older oocytes compared to the younger oocytesOver-expression of separase induces premature separation of chromatids, lagging chromosomes, and anaphase bridges (Zhang, Kuznetsov et al., 2008)
Results meiosis, mitosisseparase
EME1
Kuznetsov et al., 2008)
• EME1 (essential meiotic endonuclease 1) gene expression
was down-regulated (1.6 fold) in older oocytes compared to
younger Small decreases in gene dosage of EME1 promote re-replication and
polyploid cells in addition to chromosome aberrations as DNA gaps and
breaks (Hiyama, Katsura et al., 2006).
Results meiosis, mitosis/spindle
CSPP
• CSPP (centrosome/spindle pole associated protein) was up-
regulated 1.7 fold) in the aged oocytesOver-expression of CSPP has been shown to impair mitosis and promote multi-
polar spindles (Patzke, Stokke et al., 2006)
• Ran (member RAS oncogene family/GTP-binding nuclear protein Ran)
was down regulated by 1.8 fold, (p = 0.0041)
-The Ran GTPase mediates chromatin signaling to control cortical
polarity during polar body extrusion in mouse oocytes. Deng et al. 2008
-Involved in the acentriolar spindle assembly during meiosis i mouse
oocytes.
-Ran was 1.4 fold up regulated in MII oocytes from aged mice as
compared to younger. Pan et al 2008.
Conclusion
• Significant difference in the transcriptome of the MII oocyte between younger and older oocyte
• 342 of 7470 expressed genes were differentially expressed between the two age groups
• Analysis of the these 342 genes indicates alterations in• Analysis of the these 342 genes indicates alterations in
-ubiquination, generally reduced
-cell cycle, top signalling network affected
-mitosis/spindle, suggests molecular basis for the age-associated increase in aneuploidy in human oocytes and pre-embryos
• Gene expression profiles in cumulus and granulosa cells are also affected by age
When and how are the changes
induced in the oocyte?
• ‘limited oocyte pool’ hypothesis, where the limited number
of antral follicles available in older women could lead to suboptimal
oocyte for ovulation
• ‘over time’ hypothesis, while resting in the prophase, changes • ‘over time’ hypothesis, while resting in the prophase, changes
happen to the oocytes or its milieu inducing damage to the
meiotic/developmental machinery
Thanks
Rehannah BorupMicroarray Centeret
Rigshospitalet
Jeanette Bogstad, Helle Meinertz, VibekeBoujida Hartvig, Thue Bryndorf Anita Elverdal, Pernille AndersenKirsten Langbøl,Marianne Pedersen,Mette Villads Nielsen, Tanja Schrøder
Claus Yding AndersenRigshospitalet
Mette Villads Nielsen, Tanja SchrøderFertility ClinicHvidovre Hospital
Organon, Denmark‘a division of Schering-Plough’