Biological Integration of Spatial and Temporal Localization of genes in C. Elegans Cesar A. Hidalgo R. CCNR University of Notre Dame & CCSB, DFCI, Harvard.

Slides:



Advertisements
Similar presentations
Yinyin Yuan and Chang-Tsun Li Computer Science Department
Advertisements

Exploiting transcription factor binding site clustering to identify cis-regulatory modules involved in pattern formation in the Drosophila genome ECS289A.
Molecular Biomedical Informatics Machine Learning and Bioinformatics Machine Learning & Bioinformatics 1.
Control of Expression In Bacteria –Part 1
Methods to read out regulatory functions
Periodic clusters. Non periodic clusters That was only the beginning…
Gene regulation /function card Anatomical network card Tassy et al., Figure S1: Navigation diagram of ANISEED Anatomical structure card Expression card.
Gene Regulation in Eukaryotic Cells. Gene regulation is complex Regulation, and therefore, expression of a gene is complex. Regulation of these genes.
Copyright © 2003 Pearson Education, Inc. publishing as Benjamin Cummings Most differentiated (specialized) cells retain a complete set of genes –In general,
Computational discovery of gene modules and regulatory networks Ziv Bar-Joseph et al (2003) Presented By: Dan Baluta.
Putting genetic interactions in context through a global modular decomposition Jamal.
12 The Genetic Control of Development. Gene Regulation in Development Key process in development is pattern formation = emergence of spatially organized.
20,000 GENES IN HUMAN GENOME; WHAT WOULD HAPPEN IF ALL THESE GENES WERE EXPRESSED IN EVERY CELL IN YOUR BODY? WHAT WOULD HAPPEN IF THEY WERE EXPRESSED.
Transcriptome Sequencing with Reference
Gene Regulation and Expression
Signal Processing in Single Cells Tony 03/30/2005.
Bi-correlation clustering algorithm for determining a set of co- regulated genes BIOINFORMATICS vol. 25 no Anindya Bhattacharya and Rajat K. De.
Development What causes cell differentiation? Molecular Markers.
Functional genomics and inferring regulatory pathways with gene expression data.
Microarrays and Cancer Segal et al. CS 466 Saurabh Sinha.
Genes. Eukaryotic Protein-Coding Gene Structure codingnon-coding.
Evidence for dynamically organized modularity in the yeast protein- protein interaction network Han, et al
The Hardwiring of development: organization and function of genomic regulatory systems Maria I. Arnone and Eric H. Davidson.
Bryan Heck Tong Ihn Lee et al Transcriptional Regulatory Networks in Saccharomyces cerevisiae.
Comparative Expression Moran Yassour +=. Goal Build a multi-species gene-coexpression network Find functions of unknown genes Discover how the genes.
Why microarrays in a bioinformatics class? Design of chips Quantitation of signals Integration of the data Extraction of groups of genes with linked expression.
Synthetic gene networks that count Lv ChenChen. A counter!! A counter is a key component in digital circuits and computing that retains memory of events.
Radiogenomics in glioblastoma multiforme
A systems biology approach to the identification and analysis of transcriptional regulatory networks in osteocytes Angela K. Dean, Stephen E. Harris, Jianhua.
Draw 8 boxes on your paper
Regulation of Gene Expression: An Overview  Transcriptional  Tissue-specific transcription factors  Direct binding of hormones, growth factors, etc.
Reconstruction of Transcriptional Regulatory Networks
HUMAN-MOUSE CONSERVED COEXPRESSION NETWORKS PREDICT CANDIDATE DISEASE GENES Ala U., Piro R., Grassi E., Damasco C., Silengo L., Brunner H., Provero P.
Gene regulation results in differential gene expression, leading to cell specialization.
1 Having genome data allows collection of other ‘omic’ datasets Systems biology takes a different perspective on the entire dataset, often from a Network.
6D Gene expression the process by which the heritable information in a gene, the sequence of DNA base pairs, is made into a functional gene product, such.
12.5 Gene Regulation. 1. Gene Regulation In any organism, only a few genes are expressed at each time Operon: group of genes that operate together Scientists.
A Biology Primer Part III: Transcription, Translation, and Regulation Vasileios Hatzivassiloglou University of Texas at Dallas.
REVIEW SESSION 5:30 PM Wednesday, September 15 5:30 PM SHANTZ 242 E.
Differential analysis of Eigengene Networks: Finding And Analyzing Shared Modules Across Multiple Microarray Datasets Peter Langfelder and Steve Horvath.
Data Mining the Yeast Genome Expression and Sequence Data Alvis Brazma European Bioinformatics Institute.
Complexities of Gene Expression Cells have regulated, complex systems –Not all genes are expressed in every cell –Many genes are not expressed all of.
While gene expression data is widely available describing mRNA levels in different cancer cells lines, the molecular regulatory mechanisms responsible.
Introduction to biological molecular networks
ACCELERATING CLINICAL AND TRANSLATIONAL RESEARCH Challenges in Bioinformatics R.W. Doerge Department of Statistics Department Agronomy.
GENE EXPRESSION. Pretty Please Back doorBig Brother.
PLANT BIOTECHNOLOGY & GENETIC ENGINEERING (3 CREDIT HOURS) LECTURE 13 ANALYSIS OF THE TRANSCRIPTOME.
1 Having genome data allows collection of other ‘omic’ datasets Systems biology takes a different perspective on the entire dataset, often from a Network.
BIOLOGY CONCEPTS & CONNECTIONS Fourth Edition Copyright © 2003 Pearson Education, Inc. publishing as Benjamin Cummings Neil A. Campbell Jane B. Reece Lawrence.
1 What forces constrain/drive protein evolution? Looking at all coding sequences across multiple genomes can shed considerable light on which forces contribute.
Network Motifs See some examples of motifs and their functionality Discuss a study that showed how a miRNA also can be integrated into motifs Today’s plan.
Takahashi and Yamanaka, 2006 Fig 1. Takahashi and Yamanaka, 2006 Fig 1.
 The human genome contains approximately genes.  At any given moment, each of our cells has some combination of these genes turned on & others.
Identification of ESRE Regulatory Molecules
Gene Hunting: Design and statistics
Structure of proximal and distant regulatory elements in the human genome Ivan Ovcharenko Computational Biology Branch National Center for Biotechnology.
Relationship between Genotype and Phenotype
X-linked oogenic transcripts are expressed late in the germline
Relationship between Genotype and Phenotype
Volume 27, Issue 22, Pages e5 (November 2017)
In these studies, expression levels are viewed as quantitative traits, and gene expression phenotypes are mapped to particular genomic loci by combining.
Even-skipped gene regulation
CHAPTER 11 The Control of Gene Expression
Volume 1, Issue 2, Pages (August 2015)
Working in the Post-Genomic C. elegans World
Presence of motifs correlated with decreased expression of downstream genes. Presence of motifs correlated with decreased expression of downstream genes.
Michal Levin, Tamar Hashimshony, Florian Wagner, Itai Yanai 
TFs and predicted regulatory networks for the tissue- and lineage-dependent clusters 2, 3, and 9. TFs and predicted regulatory networks for the tissue-
CD4+CLA+CD103+ T cells from human blood and skin share a transcriptional profile. CD4+CLA+CD103+ T cells from human blood and skin share a transcriptional.
Relationship between Genotype and Phenotype
Presentation transcript:

Biological Integration of Spatial and Temporal Localization of genes in C. Elegans Cesar A. Hidalgo R. CCNR University of Notre Dame & CCSB, DFCI, Harvard University

mRNA A brief review of genetics Gene Promoter Transcription Factor Polymerase Upstream Downstream Genes are not always on

The Combination of Genes that are ON and OFF determines the phenotype

Systems Biology RNAi MicroArray GFP-Localization PPI Genetic Interactions Regulatory Networks -How are these connected? -When are they expressed? (Condition) -When are they expressed? (Time) -Where are they expressed? -How do they turn on? (Regulatory Networks) How does the organism work…?

Who is connected with whom..? Protein-Protein Interactions

How do they turn on? Regulatory interactions…? (Positive) Gene1 Gene2 Polymerase

How do they turn on? Regulatory interactions…? (Negative) Gene1 Gene2 Polymerase

What happens when we remove one..? RNAi MicroArray GFP-Localization PPI Genetic Interactions Regulatory Networks Knock outs Gene1 Gene2 Gene3 Any difference….?

What happens when we remove two..? Genetic Interactions..? Gene1Gene2 Gene3

Under which conditions are they expressed? Microarray

Where are they expressed? GFP Gene Promoter Transcription Factor Polymerase Upstream Downstream Gene Encoding GFP

Where is the field at? Collecting data and developing methods..? PPI: Cite… Rual et. Al. Ito. El al. Uetz. et. Al. Steltz et. Al. RNAi: Microarray. S. Kim. et. Al. Coverage is still very low compared to what is expected to be out there….

Where is it going..? PPI Co-Expression Localization

The Localizome A high throughput way to determine spatio-temporal expression patterns in c. elegans.

COPAS Biosort-Profiler Union Biometrica Fluorescence The Localizome (The Data) Profile Individuals

Sort the Population The Localizome (The Data)

L1 larvae Adults crm-1 TIME LENGTH The Localizome (The Data) Build Chronograms

The Localizome (Validation) Validation (Tissue Specificity)

The Localizome (Data Formating) Image Filtering (Pixelization and Linear Filtering) Before Filtering After Filtering

The Localizome (Validation) Validation (Average Image) Average Expression | Annotation Average Expression | All Annotations

The Localizome (Validation)

The Localizome (Analysis) Correlation -PCC- PCC=0.03 PCC=0.88

The Localizome (Analysis)

P-Value Pharynx : 1.4x10 -5 Vulva Muscle: 3.1x10 -4 Annotations P-Value Embryo: 1.4x10 -2

Validating Clusters

What can we use this for…? Are these expressed in the same place and time…? Are all the interactions found with other methods veridical..?

Protein-Protein Interactions are biological only in certain regions

Regulatory Networks Promoter TF

Pharynx The Big Picture EmbryoAdult

Summary Reliable localization data can be produced in a high throughput with the profiler technology. This data can be used potentially to identify the sub-networks involved in different organs and in different developmental stages. So far we see that the overlap between interacting partners tends to be partial.

Acknowledgments

Alternative Metrics Overlap Between Significant Expression Areas

Same Story Nerve Ring Pvalue = 3x10 -3

When genes come to stage