SlideShare uma empresa Scribd logo
1 de 14
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

Mais conteúdo relacionado

Mais procurados

So you want to do a: RNAseq experiment, Differential Gene Expression Analysis
So you want to do a: RNAseq experiment, Differential Gene Expression AnalysisSo you want to do a: RNAseq experiment, Differential Gene Expression Analysis
So you want to do a: RNAseq experiment, Differential Gene Expression AnalysisUniversity of California, Davis
 
RNA sequencing: advances and opportunities
RNA sequencing: advances and opportunities RNA sequencing: advances and opportunities
RNA sequencing: advances and opportunities Paolo Dametto
 
RNA-seq Data Analysis Overview
RNA-seq Data Analysis OverviewRNA-seq Data Analysis Overview
RNA-seq Data Analysis OverviewSean Davis
 
QIAseq Targeted DNA, RNA and Fusion Gene Panels
QIAseq Targeted DNA, RNA and Fusion Gene PanelsQIAseq Targeted DNA, RNA and Fusion Gene Panels
QIAseq Targeted DNA, RNA and Fusion Gene PanelsQIAGEN
 
diffReps: automated ChIP-seq differential analysis package
diffReps: automated ChIP-seq differential analysis packagediffReps: automated ChIP-seq differential analysis package
diffReps: automated ChIP-seq differential analysis packageLi Shen
 
Molecular insight into Gene Expression Using Digital RNAseq: Digital RNAseq W...
Molecular insight into Gene Expression Using Digital RNAseq: Digital RNAseq W...Molecular insight into Gene Expression Using Digital RNAseq: Digital RNAseq W...
Molecular insight into Gene Expression Using Digital RNAseq: Digital RNAseq W...QIAGEN
 
Introduction to Single-cell RNA-seq
Introduction to Single-cell RNA-seqIntroduction to Single-cell RNA-seq
Introduction to Single-cell RNA-seqTimothy Tickle
 
Exploring new frontiers with next-generation sequencing
Exploring new frontiers with next-generation sequencingExploring new frontiers with next-generation sequencing
Exploring new frontiers with next-generation sequencingQIAGEN
 
wings2014 Workshop 1 Design, sequence, align, count, visualize
wings2014 Workshop 1 Design, sequence, align, count, visualizewings2014 Workshop 1 Design, sequence, align, count, visualize
wings2014 Workshop 1 Design, sequence, align, count, visualizeAnn Loraine
 
Galaxy dna-seq-variant calling-presentationandpractical_gent_april-2016
Galaxy dna-seq-variant calling-presentationandpractical_gent_april-2016Galaxy dna-seq-variant calling-presentationandpractical_gent_april-2016
Galaxy dna-seq-variant calling-presentationandpractical_gent_april-2016Prof. Wim Van Criekinge
 
Dgaston dec-06-2012
Dgaston dec-06-2012Dgaston dec-06-2012
Dgaston dec-06-2012Dan Gaston
 
An introduction to RNA-seq data analysis
An introduction to RNA-seq data analysisAn introduction to RNA-seq data analysis
An introduction to RNA-seq data analysisAGRF_Ltd
 
Rnaseq basics ngs_application1
Rnaseq basics ngs_application1Rnaseq basics ngs_application1
Rnaseq basics ngs_application1Yaoyu Wang
 
Molecular QC: Interpreting your Bioinformatics Pipeline
Molecular QC: Interpreting your Bioinformatics PipelineMolecular QC: Interpreting your Bioinformatics Pipeline
Molecular QC: Interpreting your Bioinformatics PipelineCandy Smellie
 
Knowing Your NGS Upstream: Alignment and Variants
Knowing Your NGS Upstream: Alignment and VariantsKnowing Your NGS Upstream: Alignment and Variants
Knowing Your NGS Upstream: Alignment and VariantsGolden Helix Inc
 

Mais procurados (20)

So you want to do a: RNAseq experiment, Differential Gene Expression Analysis
So you want to do a: RNAseq experiment, Differential Gene Expression AnalysisSo you want to do a: RNAseq experiment, Differential Gene Expression Analysis
So you want to do a: RNAseq experiment, Differential Gene Expression Analysis
 
RNA sequencing: advances and opportunities
RNA sequencing: advances and opportunities RNA sequencing: advances and opportunities
RNA sequencing: advances and opportunities
 
RNA-seq Data Analysis Overview
RNA-seq Data Analysis OverviewRNA-seq Data Analysis Overview
RNA-seq Data Analysis Overview
 
QIAseq Targeted DNA, RNA and Fusion Gene Panels
QIAseq Targeted DNA, RNA and Fusion Gene PanelsQIAseq Targeted DNA, RNA and Fusion Gene Panels
QIAseq Targeted DNA, RNA and Fusion Gene Panels
 
diffReps: automated ChIP-seq differential analysis package
diffReps: automated ChIP-seq differential analysis packagediffReps: automated ChIP-seq differential analysis package
diffReps: automated ChIP-seq differential analysis package
 
Molecular insight into Gene Expression Using Digital RNAseq: Digital RNAseq W...
Molecular insight into Gene Expression Using Digital RNAseq: Digital RNAseq W...Molecular insight into Gene Expression Using Digital RNAseq: Digital RNAseq W...
Molecular insight into Gene Expression Using Digital RNAseq: Digital RNAseq W...
 
Introduction to Single-cell RNA-seq
Introduction to Single-cell RNA-seqIntroduction to Single-cell RNA-seq
Introduction to Single-cell RNA-seq
 
ChIP-seq Theory
ChIP-seq TheoryChIP-seq Theory
ChIP-seq Theory
 
Variant analysis and whole exome sequencing
Variant analysis and whole exome sequencingVariant analysis and whole exome sequencing
Variant analysis and whole exome sequencing
 
Exploring new frontiers with next-generation sequencing
Exploring new frontiers with next-generation sequencingExploring new frontiers with next-generation sequencing
Exploring new frontiers with next-generation sequencing
 
wings2014 Workshop 1 Design, sequence, align, count, visualize
wings2014 Workshop 1 Design, sequence, align, count, visualizewings2014 Workshop 1 Design, sequence, align, count, visualize
wings2014 Workshop 1 Design, sequence, align, count, visualize
 
Galaxy dna-seq-variant calling-presentationandpractical_gent_april-2016
Galaxy dna-seq-variant calling-presentationandpractical_gent_april-2016Galaxy dna-seq-variant calling-presentationandpractical_gent_april-2016
Galaxy dna-seq-variant calling-presentationandpractical_gent_april-2016
 
Dgaston dec-06-2012
Dgaston dec-06-2012Dgaston dec-06-2012
Dgaston dec-06-2012
 
An introduction to RNA-seq data analysis
An introduction to RNA-seq data analysisAn introduction to RNA-seq data analysis
An introduction to RNA-seq data analysis
 
Rnaseq basics ngs_application1
Rnaseq basics ngs_application1Rnaseq basics ngs_application1
Rnaseq basics ngs_application1
 
Molecular QC: Interpreting your Bioinformatics Pipeline
Molecular QC: Interpreting your Bioinformatics PipelineMolecular QC: Interpreting your Bioinformatics Pipeline
Molecular QC: Interpreting your Bioinformatics Pipeline
 
Genome Assembly
Genome AssemblyGenome Assembly
Genome Assembly
 
Knowing Your NGS Upstream: Alignment and Variants
Knowing Your NGS Upstream: Alignment and VariantsKnowing Your NGS Upstream: Alignment and Variants
Knowing Your NGS Upstream: Alignment and Variants
 
Rna seq pipeline
Rna seq pipelineRna seq pipeline
Rna seq pipeline
 
ChipSeq Data Analysis
ChipSeq Data AnalysisChipSeq Data Analysis
ChipSeq Data Analysis
 

Semelhante a Time and Money: Techniques for Neural Gene Expression Profiling

Toward Single Neuron Gene Expression Analysis for Studying Behavior
Toward Single Neuron Gene Expression Analysis for Studying Behavior Toward Single Neuron Gene Expression Analysis for Studying Behavior
Toward Single Neuron Gene Expression Analysis for Studying Behavior Rayna Harris
 
Next generation sequencing methods
Next generation sequencing methods Next generation sequencing methods
Next generation sequencing methods Mrinal Vashisth
 
High Throughput Sequencing Technologies: On the path to the $0* genome
High Throughput Sequencing Technologies: On the path to the $0* genomeHigh Throughput Sequencing Technologies: On the path to the $0* genome
High Throughput Sequencing Technologies: On the path to the $0* genomeBrian Krueger
 
Polymerase Chain Reaction (PCR) and The Application.pptx
Polymerase Chain Reaction (PCR) and The Application.pptxPolymerase Chain Reaction (PCR) and The Application.pptx
Polymerase Chain Reaction (PCR) and The Application.pptxrenanda8
 
Recombinant DNA Technology
Recombinant DNA TechnologyRecombinant DNA Technology
Recombinant DNA TechnologyFarhana Atia
 
Catalyzing Plant Science Research with RNA-seq
Catalyzing Plant Science Research with RNA-seqCatalyzing Plant Science Research with RNA-seq
Catalyzing Plant Science Research with RNA-seqManjappa Ganiger
 
Microarry andd NGS.pdf
Microarry andd NGS.pdfMicroarry andd NGS.pdf
Microarry andd NGS.pdfnedalalazzwy
 
2017 molecular profiling_wim_vancriekinge
2017 molecular profiling_wim_vancriekinge2017 molecular profiling_wim_vancriekinge
2017 molecular profiling_wim_vancriekingeProf. Wim Van Criekinge
 
Tools for lncRNA research in cancer
Tools for lncRNA research in cancerTools for lncRNA research in cancer
Tools for lncRNA research in cancerGhent University
 
DNA and RAN based taxonomy in animals
DNA and RAN  based taxonomy in animals DNA and RAN  based taxonomy in animals
DNA and RAN based taxonomy in animals Nandakumar R
 
20170209 ngs for_cancer_genomics_101
20170209 ngs for_cancer_genomics_10120170209 ngs for_cancer_genomics_101
20170209 ngs for_cancer_genomics_101Ino de Bruijn
 
Sequencing @ BitLab
Sequencing @ BitLabSequencing @ BitLab
Sequencing @ BitLabRaoul Bonnal
 
Functional genomics
Functional genomicsFunctional genomics
Functional genomicsPawan Kumar
 
Kim Pruitt trainingbiocuration2015
Kim Pruitt trainingbiocuration2015Kim Pruitt trainingbiocuration2015
Kim Pruitt trainingbiocuration2015Kim D. Pruitt
 
The UCSC genome browser: A Neuroscience focused overview
The UCSC genome browser: A Neuroscience focused overviewThe UCSC genome browser: A Neuroscience focused overview
The UCSC genome browser: A Neuroscience focused overviewVictoria Perreau
 

Semelhante a Time and Money: Techniques for Neural Gene Expression Profiling (20)

Toward Single Neuron Gene Expression Analysis for Studying Behavior
Toward Single Neuron Gene Expression Analysis for Studying Behavior Toward Single Neuron Gene Expression Analysis for Studying Behavior
Toward Single Neuron Gene Expression Analysis for Studying Behavior
 
Next generation sequencing methods
Next generation sequencing methods Next generation sequencing methods
Next generation sequencing methods
 
High Throughput Sequencing Technologies: On the path to the $0* genome
High Throughput Sequencing Technologies: On the path to the $0* genomeHigh Throughput Sequencing Technologies: On the path to the $0* genome
High Throughput Sequencing Technologies: On the path to the $0* genome
 
NGS.pptx
NGS.pptxNGS.pptx
NGS.pptx
 
Polymerase Chain Reaction (PCR) and The Application.pptx
Polymerase Chain Reaction (PCR) and The Application.pptxPolymerase Chain Reaction (PCR) and The Application.pptx
Polymerase Chain Reaction (PCR) and The Application.pptx
 
Thesis biobix
Thesis biobixThesis biobix
Thesis biobix
 
Recombinant DNA Technology
Recombinant DNA TechnologyRecombinant DNA Technology
Recombinant DNA Technology
 
Catalyzing Plant Science Research with RNA-seq
Catalyzing Plant Science Research with RNA-seqCatalyzing Plant Science Research with RNA-seq
Catalyzing Plant Science Research with RNA-seq
 
Microarry andd NGS.pdf
Microarry andd NGS.pdfMicroarry andd NGS.pdf
Microarry andd NGS.pdf
 
2017 molecular profiling_wim_vancriekinge
2017 molecular profiling_wim_vancriekinge2017 molecular profiling_wim_vancriekinge
2017 molecular profiling_wim_vancriekinge
 
Tools for lncRNA research in cancer
Tools for lncRNA research in cancerTools for lncRNA research in cancer
Tools for lncRNA research in cancer
 
DNA and RAN based taxonomy in animals
DNA and RAN  based taxonomy in animals DNA and RAN  based taxonomy in animals
DNA and RAN based taxonomy in animals
 
Cloud bioinformatics 2
Cloud bioinformatics 2Cloud bioinformatics 2
Cloud bioinformatics 2
 
20170209 ngs for_cancer_genomics_101
20170209 ngs for_cancer_genomics_10120170209 ngs for_cancer_genomics_101
20170209 ngs for_cancer_genomics_101
 
Sequencing @ BitLab
Sequencing @ BitLabSequencing @ BitLab
Sequencing @ BitLab
 
Functional genomics
Functional genomicsFunctional genomics
Functional genomics
 
Lecture 4.ppt
Lecture 4.pptLecture 4.ppt
Lecture 4.ppt
 
Polymerase chain reactions
Polymerase chain reactionsPolymerase chain reactions
Polymerase chain reactions
 
Kim Pruitt trainingbiocuration2015
Kim Pruitt trainingbiocuration2015Kim Pruitt trainingbiocuration2015
Kim Pruitt trainingbiocuration2015
 
The UCSC genome browser: A Neuroscience focused overview
The UCSC genome browser: A Neuroscience focused overviewThe UCSC genome browser: A Neuroscience focused overview
The UCSC genome browser: A Neuroscience focused overview
 

Último

User Guide: Orion™ Weather Station (Columbia Weather Systems)
User Guide: Orion™ Weather Station (Columbia Weather Systems)User Guide: Orion™ Weather Station (Columbia Weather Systems)
User Guide: Orion™ Weather Station (Columbia Weather Systems)Columbia Weather Systems
 
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.PraveenaKalaiselvan1
 
PROJECTILE MOTION-Horizontal and Vertical
PROJECTILE MOTION-Horizontal and VerticalPROJECTILE MOTION-Horizontal and Vertical
PROJECTILE MOTION-Horizontal and VerticalMAESTRELLAMesa2
 
REVISTA DE BIOLOGIA E CIÊNCIAS DA TERRA ISSN 1519-5228 - Artigo_Bioterra_V24_...
REVISTA DE BIOLOGIA E CIÊNCIAS DA TERRA ISSN 1519-5228 - Artigo_Bioterra_V24_...REVISTA DE BIOLOGIA E CIÊNCIAS DA TERRA ISSN 1519-5228 - Artigo_Bioterra_V24_...
REVISTA DE BIOLOGIA E CIÊNCIAS DA TERRA ISSN 1519-5228 - Artigo_Bioterra_V24_...Universidade Federal de Sergipe - UFS
 
Environmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial BiosensorEnvironmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial Biosensorsonawaneprad
 
Base editing, prime editing, Cas13 & RNA editing and organelle base editing
Base editing, prime editing, Cas13 & RNA editing and organelle base editingBase editing, prime editing, Cas13 & RNA editing and organelle base editing
Base editing, prime editing, Cas13 & RNA editing and organelle base editingNetHelix
 
The dark energy paradox leads to a new structure of spacetime.pptx
The dark energy paradox leads to a new structure of spacetime.pptxThe dark energy paradox leads to a new structure of spacetime.pptx
The dark energy paradox leads to a new structure of spacetime.pptxEran Akiva Sinbar
 
Thermodynamics ,types of system,formulae ,gibbs free energy .pptx
Thermodynamics ,types of system,formulae ,gibbs free energy .pptxThermodynamics ,types of system,formulae ,gibbs free energy .pptx
Thermodynamics ,types of system,formulae ,gibbs free energy .pptxuniversity
 
Observational constraints on mergers creating magnetism in massive stars
Observational constraints on mergers creating magnetism in massive starsObservational constraints on mergers creating magnetism in massive stars
Observational constraints on mergers creating magnetism in massive starsSérgio Sacani
 
User Guide: Pulsar™ Weather Station (Columbia Weather Systems)
User Guide: Pulsar™ Weather Station (Columbia Weather Systems)User Guide: Pulsar™ Weather Station (Columbia Weather Systems)
User Guide: Pulsar™ Weather Station (Columbia Weather Systems)Columbia Weather Systems
 
CHROMATOGRAPHY PALLAVI RAWAT.pptx
CHROMATOGRAPHY  PALLAVI RAWAT.pptxCHROMATOGRAPHY  PALLAVI RAWAT.pptx
CHROMATOGRAPHY PALLAVI RAWAT.pptxpallavirawat456
 
《Queensland毕业文凭-昆士兰大学毕业证成绩单》
《Queensland毕业文凭-昆士兰大学毕业证成绩单》《Queensland毕业文凭-昆士兰大学毕业证成绩单》
《Queensland毕业文凭-昆士兰大学毕业证成绩单》rnrncn29
 
ALL ABOUT MIXTURES IN GRADE 7 CLASS PPTX
ALL ABOUT MIXTURES IN GRADE 7 CLASS PPTXALL ABOUT MIXTURES IN GRADE 7 CLASS PPTX
ALL ABOUT MIXTURES IN GRADE 7 CLASS PPTXDole Philippines School
 
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdf
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdfPests of Blackgram, greengram, cowpea_Dr.UPR.pdf
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdfPirithiRaju
 
Pests of castor_Binomics_Identification_Dr.UPR.pdf
Pests of castor_Binomics_Identification_Dr.UPR.pdfPests of castor_Binomics_Identification_Dr.UPR.pdf
Pests of castor_Binomics_Identification_Dr.UPR.pdfPirithiRaju
 
STOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptx
STOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptxSTOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptx
STOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptxMurugaveni B
 
User Guide: Magellan MX™ Weather Station
User Guide: Magellan MX™ Weather StationUser Guide: Magellan MX™ Weather Station
User Guide: Magellan MX™ Weather StationColumbia Weather Systems
 
Pests of soyabean_Binomics_IdentificationDr.UPR.pdf
Pests of soyabean_Binomics_IdentificationDr.UPR.pdfPests of soyabean_Binomics_IdentificationDr.UPR.pdf
Pests of soyabean_Binomics_IdentificationDr.UPR.pdfPirithiRaju
 
Citronella presentation SlideShare mani upadhyay
Citronella presentation SlideShare mani upadhyayCitronella presentation SlideShare mani upadhyay
Citronella presentation SlideShare mani upadhyayupadhyaymani499
 

Último (20)

User Guide: Orion™ Weather Station (Columbia Weather Systems)
User Guide: Orion™ Weather Station (Columbia Weather Systems)User Guide: Orion™ Weather Station (Columbia Weather Systems)
User Guide: Orion™ Weather Station (Columbia Weather Systems)
 
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
BIOETHICS IN RECOMBINANT DNA TECHNOLOGY.
 
PROJECTILE MOTION-Horizontal and Vertical
PROJECTILE MOTION-Horizontal and VerticalPROJECTILE MOTION-Horizontal and Vertical
PROJECTILE MOTION-Horizontal and Vertical
 
REVISTA DE BIOLOGIA E CIÊNCIAS DA TERRA ISSN 1519-5228 - Artigo_Bioterra_V24_...
REVISTA DE BIOLOGIA E CIÊNCIAS DA TERRA ISSN 1519-5228 - Artigo_Bioterra_V24_...REVISTA DE BIOLOGIA E CIÊNCIAS DA TERRA ISSN 1519-5228 - Artigo_Bioterra_V24_...
REVISTA DE BIOLOGIA E CIÊNCIAS DA TERRA ISSN 1519-5228 - Artigo_Bioterra_V24_...
 
Environmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial BiosensorEnvironmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial Biosensor
 
Base editing, prime editing, Cas13 & RNA editing and organelle base editing
Base editing, prime editing, Cas13 & RNA editing and organelle base editingBase editing, prime editing, Cas13 & RNA editing and organelle base editing
Base editing, prime editing, Cas13 & RNA editing and organelle base editing
 
The dark energy paradox leads to a new structure of spacetime.pptx
The dark energy paradox leads to a new structure of spacetime.pptxThe dark energy paradox leads to a new structure of spacetime.pptx
The dark energy paradox leads to a new structure of spacetime.pptx
 
Thermodynamics ,types of system,formulae ,gibbs free energy .pptx
Thermodynamics ,types of system,formulae ,gibbs free energy .pptxThermodynamics ,types of system,formulae ,gibbs free energy .pptx
Thermodynamics ,types of system,formulae ,gibbs free energy .pptx
 
Volatile Oils Pharmacognosy And Phytochemistry -I
Volatile Oils Pharmacognosy And Phytochemistry -IVolatile Oils Pharmacognosy And Phytochemistry -I
Volatile Oils Pharmacognosy And Phytochemistry -I
 
Observational constraints on mergers creating magnetism in massive stars
Observational constraints on mergers creating magnetism in massive starsObservational constraints on mergers creating magnetism in massive stars
Observational constraints on mergers creating magnetism in massive stars
 
User Guide: Pulsar™ Weather Station (Columbia Weather Systems)
User Guide: Pulsar™ Weather Station (Columbia Weather Systems)User Guide: Pulsar™ Weather Station (Columbia Weather Systems)
User Guide: Pulsar™ Weather Station (Columbia Weather Systems)
 
CHROMATOGRAPHY PALLAVI RAWAT.pptx
CHROMATOGRAPHY  PALLAVI RAWAT.pptxCHROMATOGRAPHY  PALLAVI RAWAT.pptx
CHROMATOGRAPHY PALLAVI RAWAT.pptx
 
《Queensland毕业文凭-昆士兰大学毕业证成绩单》
《Queensland毕业文凭-昆士兰大学毕业证成绩单》《Queensland毕业文凭-昆士兰大学毕业证成绩单》
《Queensland毕业文凭-昆士兰大学毕业证成绩单》
 
ALL ABOUT MIXTURES IN GRADE 7 CLASS PPTX
ALL ABOUT MIXTURES IN GRADE 7 CLASS PPTXALL ABOUT MIXTURES IN GRADE 7 CLASS PPTX
ALL ABOUT MIXTURES IN GRADE 7 CLASS PPTX
 
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdf
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdfPests of Blackgram, greengram, cowpea_Dr.UPR.pdf
Pests of Blackgram, greengram, cowpea_Dr.UPR.pdf
 
Pests of castor_Binomics_Identification_Dr.UPR.pdf
Pests of castor_Binomics_Identification_Dr.UPR.pdfPests of castor_Binomics_Identification_Dr.UPR.pdf
Pests of castor_Binomics_Identification_Dr.UPR.pdf
 
STOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptx
STOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptxSTOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptx
STOPPED FLOW METHOD & APPLICATION MURUGAVENI B.pptx
 
User Guide: Magellan MX™ Weather Station
User Guide: Magellan MX™ Weather StationUser Guide: Magellan MX™ Weather Station
User Guide: Magellan MX™ Weather Station
 
Pests of soyabean_Binomics_IdentificationDr.UPR.pdf
Pests of soyabean_Binomics_IdentificationDr.UPR.pdfPests of soyabean_Binomics_IdentificationDr.UPR.pdf
Pests of soyabean_Binomics_IdentificationDr.UPR.pdf
 
Citronella presentation SlideShare mani upadhyay
Citronella presentation SlideShare mani upadhyayCitronella presentation SlideShare mani upadhyay
Citronella presentation SlideShare mani upadhyay
 

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