Are your genes to blame when you jeans don’t...
Transcript of Are your genes to blame when you jeans don’t...
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Presentation Overview
I Introduction
2
II Giles Yeo - Presentation
III Resources
IV Questions and Answers
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I Introduction
3
II Giles Yeo - Presentation
III Resources
IV Questions and Answers
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Some numbers to mull over…
730,000 Kcal consumed a year (2000 Kcal diet)
While aging from 20 years to 50 years, the average person will gain 15 kgsof weight
Assuming 5000 Kcal/kg of body weight, 15 kg of excess weight = 75,000 Kcal
Over 30 years, that is an intake – output inbalance of 2500 Kcal/year, or a discrepency of 0.34%
In other words, an excess of 7 Kcal a day for 30 years is all that is needed to gain the 15kgs of weight…..!!
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Energy balance
Energy Intake
• Food Intake
Energy Expenditure
• Basal Metabolism
• Physical Activity• Physical Activity
• Adaptive Thermogenesis
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Set point hypothesis
Setpoint
Free choice
Free choice
Overfeed
Bodyweight
Free choice
choice
UnderFeed
• Decreased food intake leads to decreased energy expenditure
• Increased food intake leads to increased energy expenditure
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Obesity Trends* Among U.S. AdultsBRFSS, 1985
(*BMI ≥30, or ~ 30 lbs. overweight for 5' 4" person)
No Data <10% 10%–14%
Source: CDC behavioral risk factor surveillance system
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Obesity Trends* Among U.S. AdultsBRFSS, 1987
No Data <10% 10%–14%
(*BMI ≥30, or ~ 30 lbs. overweight for 5' 4" person)
Source: CDC behavioral risk factor surveillance system
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Obesity Trends* Among U.S. AdultsBRFSS, 1989
No Data <10% 10%–14%
(*BMI ≥30, or ~ 30 lbs. overweight for 5' 4" person)
Source: CDC behavioral risk factor surveillance system
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Obesity Trends* Among U.S. AdultsBRFSS, 1991
No Data <10% 10%–14% 15%–19%
(*BMI ≥30, or ~ 30 lbs. overweight for 5' 4" person)
Source: CDC behavioral risk factor surveillance system
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Obesity Trends* Among U.S. AdultsBRFSS, 1993
No Data <10% 10%–14% 15%–19%
(*BMI ≥30, or ~ 30 lbs. overweight for 5' 4" person)
Source: CDC behavioral risk factor surveillance system
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Obesity Trends* Among U.S. AdultsBRFSS, 1995
No Data <10% 10%–14% 15%–19%
(*BMI ≥30, or ~ 30 lbs. overweight for 5' 4" person)
Source: CDC behavioral risk factor surveillance system
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Obesity Trends* Among U.S. AdultsBRFSS, 1997
No Data <10% 10%–14% 15%–19% ≥20%
(*BMI ≥30, or ~ 30 lbs. overweight for 5' 4" person)
Source: CDC behavioral risk factor surveillance system
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Obesity Trends* Among U.S. AdultsBRFSS, 1999
No Data <10% 10%–14% 15%–19% ≥20%
(*BMI ≥30, or ~ 30 lbs. overweight for 5' 4" person)
Source: CDC behavioral risk factor surveillance system
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Obesity Trends* Among U.S. AdultsBRFSS, 2001
No Data <10% 10%–14% 15%–19% 20%–24% ≥25%
(*BMI ≥30, or ~ 30 lbs. overweight for 5' 4" person)
Source: CDC behavioral risk factor surveillance system
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Obesity Trends* Among U.S. AdultsBRFSS, 2003
No Data <10% 10%–14% 15%–19% 20%–24% ≥25%
(*BMI ≥30, or ~ 30 lbs. overweight for 5' 4" person)
Source: CDC behavioral risk factor surveillance system
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Obesity Trends* Among U.S. AdultsBRFSS, 2005
No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%
(*BMI ≥30, or ~ 30 lbs. overweight for 5' 4" person)
Source: Behavioral risk factor surveillance system
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Obesity Trends* Among U.S. AdultsBRFSS, 2007
No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%
(*BMI ≥30, or ~ 30 lbs. overweight for 5' 4" person)
Source: Behavioral risk factor surveillance system
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Obesity Trends* Among U.S. AdultsBRFSS, 2009
No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%
(*BMI ≥30, or ~ 30 lbs. overweight for 5' 4" person)
Source: Behavioral risk factor surveillance system
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Obesity Trends* Among U.S. AdultsBRFSS, 2010
No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%
(*BMI ≥30, or ~ 30 lbs. overweight for 5' 4" person)
Source: Behavioral risk factor surveillance system
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Changing pattern of bodyweight
8
10
12
14
Frequency (%)
1985
2010
0
2
4
6
8
1 13 16 19 22 25 28 31 34 37 40 43 46 49
BMI (kg/m2)
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Genetic control of body weight
Variable response to same environment
Some ethnic groups are more likely to develop obesity
There have always been some people predisposed toThere have always been some people predisposed toweight gain
Data from twin and adoption studies
Heritability of fat mass is equivalent to that of height
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"thrifty gene" theory, James Neel 1962
Pima Scouts in 1886 (Smithsonian Institution)
50% of adult Pima Indians here
10% of adult Pima Indians here have diabetes, population not overweight
50% of adult Pima Indians here have diabetes, 95% of those with diabetes are overweight
Genetically identical
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What are the factors governing body size?
Genetic
Physiological
Environmental
Psychological
Social
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The discovery of leptin
Source: Zhang et al (1994). NATURE 372: 425-432
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Disruption of melanocortin signalling causes severe obesity
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Human congenital leptin deficiency
Detailed phenotype of 5 leptin deficient subjects
• Normal birthweight
• Hyperphagia after weaning
• No macronutrient preference
• Normal basal temperature
• No defect in BMR or free-living energy • No defect in BMR or free-living energy
• Expenditure
• Increased fat mass (57%)
• Normal bone density and mineralisation
• Hyperinsulinaemia consistent with obesity
• Normal linear growth
• No thyroid or adrenal dysfunction
• Hypogonadotropic hypogonadism
• Impaired T cell mediated immunity
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Treatment of leptin deficiency
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Mesolimbic and
rewards pathways
Higher cognition
Coll et al, Cell, 2007
Hypothalamus
Brain as a target organ of peripheral feedback signals that regulate energy homeostasis
Adipocyte
Signals
Gut-derived
hormones
PYY3-36
Ghrelin
CCK
GLP1
Oxyntomodulin
(OXM)
Leptin
Other signals?
Adiponectin
Interleukins
Insulin
Glucose
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Targeted disruption of the Melanocortin-4
Receptor results in obesity in Mice
Dennis Huszar,* Catherine A. Lynch,*
Victoria Fairchild-Huntress,* Judy H. Dunmore,*
Qing Fang,* Lucy R. Berkemeier,* Wei Gu,*
Robert A. Kesterson,† Bruce A. Boston,‡ Roger D. Cone,†
Francoise J. Smith,§ L. Arthur Campfield,§ Paul Burn,§and Frank Lee*
*Millennium Pharmaceuticals, Inc.
640 Memorial Drive Cambridge, Massachusetts 02139, US
12
11.5
11
10.5
10
9.5
9+/+ -/+ -/- -/--/++/+
Genotype
Length (cm)
Hyperphagic
Severely Obese
Hyperinsulinaemic
Increased Linear Growth
Heterozygotes show intermediate weight-gain
*
*
**
Source: Cell, Vol. 88, 131-141, January 10, 1997,
copyright © 1997 by cell press
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Mutations & sequence variants in MC4R
Source: Farooqi et al, NEJM, 2003
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Fo
ld i
nd
uct
ion
of
Lu
cife
rase
acti
vit
y
1.0
1.5
2.0
2.5
3.0
1.0
1.5
2.0
2.5
3.0
1.0
1.5
2.0
2.5
3.0
1.0
1.5
2.0
2.5
3.0
Fo
ld i
nd
uct
ion
of
Lu
cife
rase
acti
vit
y
1.0
1.5
2.0
2.5
3.0
1.0
1.5
2.0
2.5
3.0
1.0
1.5
2.0
2.5
3.0
1.0
1.5
2.0
2.5
3.0
Genotype – Phenotype correlation
Mean ad libitum energy intake
(kcal/kg lean mass)
***50
60
70
Fo
ld i
nd
uct
ion
of
0.50.5
0
Log α-MSH (M)
10-11 10-10 10-9 10-8 10-7 10-6
0.50.5
0
Log α-MSH (M)
10-11 10-10 10-9 10-8 10-7 10-6
Fo
ld i
nd
uct
ion
of
0.50.5
0
Log α-MSH (M)
10-11 10-10 10-9 10-8 10-7 10-6
0.50.5
0
Log α-MSH (M)
10-11 10-10 10-9 10-8 10-7 10-6
Inactive Partial
BMI sds 3.9 2.3
Height sds 1.9 0.4
BMD z score 1.9 1.3
Insulin ((µU/ml) 27 24
0Leptin
deficiency
treated leptin
deficiency
Controls
10
20
30
40
MC4R mutations
Inactive Partial
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Disruption of the leptin melanocortin pathway results in severe obesity in humans and mice
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Monogenic vs Polygenic
ObesityObesity
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A Common Variant in the FTO gene is associated with Body
Mass Index & Predisposes to Childhood & Adult ObesityL
og
(fat
mass)
Z s
co
re 0.3
0.2
0.1
0
P = 6 x 10-10
log
10 P
fo
r B
MI
asso
cia
tio
n
5
4
3
2
1
Adults homozygous for risk allele (AA) 3 kg heavier(16% of population)Heterozygotes intermediate
Lo
g(f
at
mass)
Z s
co
re
0
-0.1
-0.2 TT AT AA
-lo
g 1
0 P
fo
r B
MI
asso
cia
tio
n
52.1 52.2 52.3 52.4 52.5 52.6
1
0
Position (Mb)
KIAA1005 FTO
rs9939609 genotype
Source: Frayling et al, Science, 2007
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FTO expression
Fasting Food intake
Hypothalamic Arcuate nucleus
High-fat diet Food intake
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Association analyses of 249,796 individuals reveal
18 new loci associated with body mass index
3,000
2,500
2,000
1,500
1,000 25.5
26.0
26.5
27.0
27.5
Nu
mb
er
of
ind
ivid
ua
ls (
N)
Ave
rag
e B
MI
(kg/m
2)
Obesity, whether monogenic or polygenic, is a brain disease!
500
0 24.5
25.0
≤3 4 5 6 7 8 9 10 11 12≥13
Weighted number of risk alleles
Nu
mb
er
of
ind
ivid
ua
ls
Ave
rag
e B
MI
‘We strongly confirm FTO and MC4R and identify six additional loci: TMEM18, KCTD15, GNPDA2, SH2B1, MTCH2 and
NEGR1 ...... Several of the likely causal genes are highly expressed or known to act in the central nervous system (CNS), emphasizing, as in rare monogenic forms of obesity, the role of the CNS in predisposition to obesity.’
Source: Willer et al, Nature Genetics, 2009 ; Speliotes et al, Nature Genetics, 2010
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I Introduction
40
II Giles Yeo - Presentation
III Resources
IV Questions and Answers
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Primary antibodies
• Rabbit polyclonal antibody to Leptin (ab3583)
• Tested applications: ICC/IF, ICC, IHC-Fr, WB
• Reacts with: Mouse, Rat, Sheep, Human, Pig
• Rabbit monoclonal antibody to FTO [EPR6894] • Rabbit monoclonal antibody to FTO [EPR6894] (ab126605)
• Tested applications: WB, IHC-P, Flow Cyt, ICC/IF
• Reacts with: Human
• Chicken polyclonal antibody to Leptin Receptor (ab92615)
• Tested applications: IHC-FoFr, ICC/IF
• Reacts with: Rat
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Primary antibodies
• Rabbit polyclonal to Ghrelin Receptor (ab95250)
• Applications: WB, IHC-FoFr
• Reacts: with Mouse, Human
• Rabbit polyclonal to Tmem (ab100954)
• Rabbit monoclonal [E175] to S6K (ab32359)
• Applications: WB, IHC-P, IP
• Reacts: with Mouse, Rat, Human
• Rabbit polyclonal to Tmem (ab100954)
• Applications: WB
• Reacts: with Mouse, Rat, Human
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Primary antibodies
• Rabbit polyclonal to UCP1 (ab23841)
• Tested applications: WB, IHC-P, IHC-FoFr
• Reacts with: Mouse, Rat, Dog
• Rabbit polyclonal to ACTH (ab75683)• Rabbit polyclonal to ACTH (ab75683)
• Tested applications: WB, IHC-P
• Reacts with: Human
• Rabbit polyclonal to AGRP (ab92615)
• Tested applications: IHC-P
• Reacts with: Human
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AbTrial program - test risk free
No image for the application or species you are interested in testing?
You can now use our products in an untested application or species without financial risk
Want to use one of our products in an untested application or species?
If you send us your results, positive or negative, of how the product performed, we'll send you a discount code for the full amount of the product tested
Simply visit our promotion page and find your antibody of interest!
www.abcam.com/Obesityantibodytesting
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Metabolism and mitochondrial research tools
MitoSciences - premium range for mitochondrial research
• www.abcam.com/MitoSciencestoolsObesity
MitoTox kits - analysis of mitochondrial toxicity
Assay kits
Visit the Metabolism homepage, where you can find
Assay kits
ELISA kits
Biochemicals
Posters, pathway cards and videos
• www.abcam.com/metabolism
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MitoSciences® oxidative phosphorylation analysis
Mouse monoclonal antibodies
Antibody cocktails
Enzyme activity assays
Immunocapture kits
Visit: www.abcam.com/OXPHOS
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MitoSciences® Pyruvate Dehydrogenase (PDH) analysis
Visit: www.abcam.com/PDH-Product-range
Mouse monoclonal antibodies
Antibody cocktails
In-Cell ELISA kits
Protein quantity assays
Enzyme activity assays
ELISA kits
Immunocapture kits
Recombinant proteins (PDK1-4)
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MitoToxTM range
Mitochondrial Membrane Potential Assay Kits
Luminescent ATP Detection Assay Kit
DCFDA - Cellular Reactive Oxygen Species Detection
Assay Kit
Mitochondrial Viability StainMitochondrial Viability Stain
Mitochondrial Biogenesis Assays
Extracellular Oxygen Probes
Oxidative Stress Assays
Visit: www.abcam.com/MitoTox
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Assay kits
Category Product name Product ID
Lipid formation Adipogenesis detection kit ab102513
Adipogenesis Assay Kit (cell-based) ab133102
Adipolysis Assay Kit ab133115
Cholesterol Assay Kit (cell-based) ab133116
Cholesterol/ Cholesterylester Quantification Kit ab65359
Cholesterol/Cholesteryl Ester Detection Kit ab102515
Free Fatty Acid Quantification Kit ab65341Free Fatty Acid Quantification Kit ab65341
Free Glycerol Assay Kit ab65337
Insulin signaling pathway
Glucose Detection kit ab102517
Glucose Uptake Assay Kit (colorimetric ) ab136955
Glucose Uptake Assay Kit (fluorometric) ab136956
Glycogen Assay Kit ab65620
Lipase Detection Kit (colorimetric) ab102524
Lipase Detection Kit II (colorimetric) ab102525
Lipase Detection Kit III (fluorometric) ab118969
Lipid metabolism Triglyceride Quantification kit ab65336
HDL and LDL/VLDL Cholesterol Assay Kit ab65390
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ELISA kits
Product ID Product name Tests Sensitivity Range
ab100581 Leptin Human ELISA 1 x 96 < 2 pg/ml 1.64 pg/ml - 400 pg/ml
ab100718 Leptin Mouse ELISA 1 x 96 < 4 pg/ml 4.1 pg/ml - 1000 pg/ml
ab100773 Leptin Rat ELISA 1 x 96 < 30 pg/ml 10.97 pg/ml - 8000 pg/ml
ab119574 LeptinR Human ELISA 1 x 96 < 8 pg/ml 156 pg/ml - 10000 pg/ml
ab100578 Insulin Human ELISA 1 x 96 < 4 µlU/ml 4.69 µlU/ml - 300 µlU/ml
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Abcam cell imaging products
Cyto-Painter cellular staining
•Ideal tool for staining subcellular structures in
combination with antibodies and nuclear dyes
•Staining of:
•Actin filaments: fixed cells
•Mitochondria & Lysosomes: live cells
Fluore-scent dyes
Nuclear dyes
• Nuclear staining in only 5 minutes
• Far-red dyes: ideal for combining with other labels
• DRAQ5™ (ab108410): staining on live and fixed cells
• DRAQ7™ (ab109202): staining of fixed and dead cells
• Red, yellow and green dyes for multicolour staining
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Abcam cell imaging products
Secon-daryantibody portfolio
Secondary antibody portfolio
Extensively validated products for cell imaging, including:
•DyLight® conjugated secondaries
•Chromeo™ conjugated secondaries
•Pre-adsorbed secondaries
•F(ab’)2 fragment secondaries
•AbGold conjugated secondaries
IHC kits and reagents
Immunohistochemistry kits and reagents
A comprehensive range which includes:
• EXPOSE IHC kits – micro-polymer detection kits
offering greater sensitivity than polymer detection
• Biotin/Streptavidin (ABC) kits – for established
detection methods
• IHC reagents – including blocking sera, tissue pre-
treatments and chromogens
www.abcam.com/imaging
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Abcam Biochemicals
Receptor agonists & antagonists
• Adenosine, cannabinoids, GABA, glutamate, peptide receptor opioids, serotonin
Ion channel modulators
Enzymes modulators
Signaling tools
• Apoptosis & cell cycle, Ca2+ signaling, NO signaling
Rapidly expanding range 40 new products/month
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Abcam Biochemicals: Obesity related products
ab ID Product name Biological description Purity
ab141010 Apelin 13 Selective endogenous apelin receptor (APJ) ligand > 95%
ab141011 Apelin 17 Endogenous apelin receptor (APJ) agonist > 95%
ab141009 Apelin 36 (human) Endogenous apelin receptor (APJ) agonist > 95%
ab120209 CCK Octapeptide sulfated C-terminal ocatapeptide of CCK > 95%
ab120743 Dexamethasone Anti-inflammatory glucocorticoid > 99%
ab120230 Ghrelin (human) Endogenous GHS agonist > 95%
ab120231 Ghrelin (rat) Endogenous GHS agonist > 95%
ab120181 Kisspeptin-13 (4-13) (human) (KiSS-1 (112-121)) AXOR12 agonist > 95%
ab120208 Neuropeptide Y (NPY) (human, rat) Endogenous neuropeptide > 95%
ab120171 Neuropeptide Y 13-36 (porcine) NPY Y2 agonist > 95%
ab120071 Obestatin Endogenous peptide involved in feeding > 95%
ab120212 Orexin A (bovine, human, mouse, rat) Neuropeptide involved in feeding and sleep > 99%
ab141012 Pyr1-Apelin 13 Highly potent, selective endogenous APJ receptor agonist
> 95%
Coming soon!
ab141175 GIP (1-39) (human) Truncated endogenous gastric inhibitory peptide (GIP)
ab141176 GIP (human) Endogenous gastric inhibitory peptide (GIP)
See more obesity related compounds online www.abcam.com/biochemicals
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Have you tried a RabMAb yet?
Buy any primary antibody and try a RabMAb for free, while stocks last!
Experience the RabMAb advantage
Simply add your chosen rabbit monoclonal to your Simply add your chosen rabbit monoclonal to your next primary antibody order, quoting promotion code RABMAB-XBSMF, and receive the RabMAb for free
• For first time RabMAb users only
• One RabMAb per customer
• Valid until December 16, 2012, while stocks last
• Terms and conditions at www.abcam.com/freeRabMAb
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Programming Obesity: Central and Peripheral Contributors
Conference Topics
• Evolutionary origins and fetal programming of obesity
• Genetic determinants of obesity
• Role of adipose tissue in metabolic health
• Brain circuitry underlying energy balance
Date: April 14-16, 2013
Venue: University of Cambridge, UKOral Abstract Deadline:
January 18, 2013
Topics• Brain circuitry underlying energy balance
• Gastrointestinal peptides influencing hunger and
satiety
• Metabolic disease treatment: 2013 and beyond
Confirmed speakers
• Steve O'Rahilly, Steve Bloom, Michael Cowley, John
Speakman, Tamas Horvath, Kevin Grove and many
more....
Meeting website
http://www.abcam.com/obesity2013
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Special webinar attendees offer
• Save 20% off your registration fee
• E-mail [email protected] and quote the below promotional code for further information:
Save WEB-OBESITY2013
• Offer expiry date: February 25, 2013
This offer is not available online!
This offer is only available to webinar attendees and cannot be used in conjunction with any other offer
Save 20%
Note: Promotions may not be available on future viewings of the webinar
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Upcoming webinars
Optimizing IHC/ICC results through careful experimental design
• December 11, 201215:00 GMT, 10:00 EDT, 07:00 PDT
Fluorescent Western BlotFluorescent Western Blot
• February 28, 201315:00 GMT, 10:00 EDT, 07:00 PDT
To interact or not to interact? Immunoprecipitate to answer this question
• March 21, 201315:00 GMT, 10:00 EDT, 07:00 PDT
More information: www.abcam.com/events
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How to contact us
US
• Email: [email protected]
• Tel: +1 888-77-ABCAM (22226)or 617-225-2272
• Website: www.abcam.com
Hong Kong
• Email: [email protected]
• Tel: +(852) 2603 6823
• Website: www.abcam.cn
Abcam’s Scientific Support Team
59
• Website: www.abcam.com
UK
• Email: [email protected]
• Tel: +44 (0) 1223 696000
• Website: www.abcam.com
Japan
• Email: [email protected]
• Tel: +81 (0) 3 6231 0940
• Website: www.abcam.co.jp
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I Introduction
II Giles Yeo - Presentation
III Resources
IV Questions and Answers
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Questions?
61