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TIME AND MONEY: TECHNIQUES FOR
NEURAL GENE EXPRESSION PROFILING
RAYNA M. HARRIS
HOFMANN LAB, THE UNIVERSITY OF TEXAS AT AUSTIN
HTTP://VIDEOCENTER.MBL.EDU/VIDEOS/CHANNEL/21/
1
RNAlater
qRT-PCRRNA-seq
O.C.T PFA
immunohistochemistryin situ
hybridization
Common molecular approaches for
neural gene expression profiling
2
Global gene expression profiling with RNA-seq
• RNA extraction (1-4 hrs)
• Library prep (2 days)
• Sequencing (3 days)
• Bioinformatics (a few days)
• Filter low quality reads
• Map to transcriptome
• Identify differentially expressed genes
• Interpret data (months to years)
3
Quantitative Real Time PCR
• Primer validation (weeks)
• Store brains in RNALater or
homogenized in buffer
• RNA Extraction (1-4 hrs)
• cDNA synthesis (2 hrs)
– Oligo(dT) for mRNA only
– Random hexamers for all RNA
• qPCR (3 hours)
• Data analysis (~4 hours)
RNAlater
RNA isolation
cDNA synthesis
4
qPCR
Data Analysis
LMDTissue punches
Increasing spatial resolution of
RNA-seq and qRT-PCR
RNAlater
qRT-PCRRNA-seq
5
Tissue punches
• A. Freeze in O.C.T (5 min) and
section (30 min/brain)
• B. Slice fresh tissue (5 min)
• Punch regions of interest
(5min)
• Homogenize and freeze tissue
(5 min)
6
Laser Microdissection
• Freeze tissue in O.C.T (5 min)
• Prepare membrane slides (20 min)
• Histology (5 min/brain)
• Laser microdissection
(~30min/brain)
• RNA extraction (1-4 hrs)
• Optional: RNA amplification
(1-2 days)
7
Detecting RNA expression with
in situ hybridization
• Riboprobe Synthesis (weeks)
• Freeze brain in O.C.T. (5 min)
• Section brains (hr/brain)
• Hybridization & Detection (3 days)
• Alternatives
– Radioactive
– Fluorescent
• Visualize the signal
– Count silver grains
– Map distribution
Target RNA
Probe & RNA
Add HRP
Blue signal! 8
Detecting proteins with
Immunohistochemistry
• Fix and cryoprotect tissue (2 days)
• Section brains (~1hr/brain)
• Bind primary and secondary
antibodies (3 days)
• Visualize the signal
• Quantify cell counts
or map distribution
9
From the bench to publication
qPCR LMD ISH IHC
$ spent $7,620 $4,161 $12,123 $6,695
# papers 2 1 5 5
$ per paper $3,810 $4,161 $2,425 $1,339
10
A few questions that may help you choose most
appropriate technique
• What are your molecules of interest?
– mRNA or protein?
– How soon after the stimulus will its activity be altered?
• How big is your experiment?
– How many groups, animals, brain regions, genes/proteins?
• What resources do you have at your fingertips?
– Core facilities and equipment
– Validated PCR primers, riboprobes, antibodies?
– A mentor who can help you collect & analyze the data?
– Bioinformatic and statistical consulting?
11
Candidate genes vs genomic approaches
• Histological approaches allow for co-localization
• Histological approaches are low throughput
• You may choose the wrong genes
• Candidate genes act in networks that are poorly understand
• Genomics allows systems level view of brain and behavior
• Genomic approaches lack of spatial resolution
12
Recommended Readings
IHC & ISH Mapping: Munchrath &Hofmann (2010)
Distribution of Sex Steroid Hormone Receptors in the Brain of
an African Cichlid Fish, Astatotilapia burtoni
Double IHC: O’Connell LA, Matthews BJ, Hofmann HA (2012)
Isotocin regulates fatherhood in a monogamous cichlid fish.
qRT-PCR: Matz, Wright, Scott (2013) No Control Genes
Required: Bayesian Analysis of qRT-PCR Data
Sequencing: https://wikis.utexas.edu/display/GSAF/Pricing
13
Acknowledgments
14

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Time and Money: Techniques for Neural Gene Expression Profiling

  • 1. TIME AND MONEY: TECHNIQUES FOR NEURAL GENE EXPRESSION PROFILING RAYNA M. HARRIS HOFMANN LAB, THE UNIVERSITY OF TEXAS AT AUSTIN HTTP://VIDEOCENTER.MBL.EDU/VIDEOS/CHANNEL/21/ 1
  • 2. RNAlater qRT-PCRRNA-seq O.C.T PFA immunohistochemistryin situ hybridization Common molecular approaches for neural gene expression profiling 2
  • 3. Global gene expression profiling with RNA-seq • RNA extraction (1-4 hrs) • Library prep (2 days) • Sequencing (3 days) • Bioinformatics (a few days) • Filter low quality reads • Map to transcriptome • Identify differentially expressed genes • Interpret data (months to years) 3
  • 4. Quantitative Real Time PCR • Primer validation (weeks) • Store brains in RNALater or homogenized in buffer • RNA Extraction (1-4 hrs) • cDNA synthesis (2 hrs) – Oligo(dT) for mRNA only – Random hexamers for all RNA • qPCR (3 hours) • Data analysis (~4 hours) RNAlater RNA isolation cDNA synthesis 4 qPCR Data Analysis
  • 5. LMDTissue punches Increasing spatial resolution of RNA-seq and qRT-PCR RNAlater qRT-PCRRNA-seq 5
  • 6. Tissue punches • A. Freeze in O.C.T (5 min) and section (30 min/brain) • B. Slice fresh tissue (5 min) • Punch regions of interest (5min) • Homogenize and freeze tissue (5 min) 6
  • 7. Laser Microdissection • Freeze tissue in O.C.T (5 min) • Prepare membrane slides (20 min) • Histology (5 min/brain) • Laser microdissection (~30min/brain) • RNA extraction (1-4 hrs) • Optional: RNA amplification (1-2 days) 7
  • 8. Detecting RNA expression with in situ hybridization • Riboprobe Synthesis (weeks) • Freeze brain in O.C.T. (5 min) • Section brains (hr/brain) • Hybridization & Detection (3 days) • Alternatives – Radioactive – Fluorescent • Visualize the signal – Count silver grains – Map distribution Target RNA Probe & RNA Add HRP Blue signal! 8
  • 9. Detecting proteins with Immunohistochemistry • Fix and cryoprotect tissue (2 days) • Section brains (~1hr/brain) • Bind primary and secondary antibodies (3 days) • Visualize the signal • Quantify cell counts or map distribution 9
  • 10. From the bench to publication qPCR LMD ISH IHC $ spent $7,620 $4,161 $12,123 $6,695 # papers 2 1 5 5 $ per paper $3,810 $4,161 $2,425 $1,339 10
  • 11. A few questions that may help you choose most appropriate technique • What are your molecules of interest? – mRNA or protein? – How soon after the stimulus will its activity be altered? • How big is your experiment? – How many groups, animals, brain regions, genes/proteins? • What resources do you have at your fingertips? – Core facilities and equipment – Validated PCR primers, riboprobes, antibodies? – A mentor who can help you collect & analyze the data? – Bioinformatic and statistical consulting? 11
  • 12. Candidate genes vs genomic approaches • Histological approaches allow for co-localization • Histological approaches are low throughput • You may choose the wrong genes • Candidate genes act in networks that are poorly understand • Genomics allows systems level view of brain and behavior • Genomic approaches lack of spatial resolution 12
  • 13. Recommended Readings IHC & ISH Mapping: Munchrath &Hofmann (2010) Distribution of Sex Steroid Hormone Receptors in the Brain of an African Cichlid Fish, Astatotilapia burtoni Double IHC: O’Connell LA, Matthews BJ, Hofmann HA (2012) Isotocin regulates fatherhood in a monogamous cichlid fish. qRT-PCR: Matz, Wright, Scott (2013) No Control Genes Required: Bayesian Analysis of qRT-PCR Data Sequencing: https://wikis.utexas.edu/display/GSAF/Pricing 13