Molecular Biology of the Cell Vol. 18, 5100–5112, December 2007

Slides:



Advertisements
Similar presentations
Analysis of a Fluctuating Dilution Rate Salman Ahmad Helena Olivieri.
Advertisements

Modeling Oxygen Consumption and Carbon Dioxide Production in Saccharomyces cervisiae Paul Magnano and Jim McDonald Loyola Marymount University BIOL /MATH.
Effect of oxygen on the Escherichia coli ArcA and FNR regulation systems and metabolic responses Chao Wang Jan 23, 2006.
Integrated analysis of regulatory and metabolic networks reveals novel regulatory mechanisms in Saccharomyces cerevisiae Speaker: Zhu YANG 6 th step, 2006.
Fuzzy K means.
Modeling the Gene Expression of Saccharomyces cerevisiae Δcin5 Under Cold Shock Conditions Kevin McKay Laura Terada Department of Biology Loyola Marymount.
Exploring the Metabolic and Genetic Control of Gene Expression on a Genomic Scale Joseph L. DeRisi, Vishwanath R. Iyer, Patrick O. Brown Science Vol. 278.
1. All living things are made up of one or more cells Is yeast unicellular or multicellular?
Basal Promoter Elements Basal Promoter Element = BPE TATA Box: (G or A)TATA(A or T)AA –Nature 381: (1996) –Science 272: (1996) CAAT Box:
Sarah Carratt and Carmen Castaneda Department of Biology Loyola Marymount University BIOL 398/MATH 388 March 24, 2011 Cold Adaption in Budding Yeast Babette.
Unique Flexibility in Energy Metabolism Allows Mycobacteria to Combat Starvation and Hypoxia Berney, Michael, and Gregory M. Cook. "Unique Flexibility.
Chapter 4: Cellular metabolism
Deletion of ZAP1 as a transcriptional factor has minor effects on S. cerevisiae regulatory network in cold shock KARA DISMUKE AND KRISTEN HORSTMANN MAY.
Kristen Horstmann, Tessa Morris, and Lucia Ramirez Loyola Marymount University March 24, 2015 BIOL398-04: Biomathematical Modeling Lee, T. I., Rinaldi,
Adjusting N:P ratios in liquid dairy manure through nitrification and chemical phosphorus removal to match crop fertilizer requirements Background Nutrient.
A COMPREHENSIVE GENE REGULATORY NETWORK FOR THE DIAUXIC SHIFT IN SACCHAROMYCES CEREVISIAE GEISTLINGER, L., CSABA, G., DIRMEIER, S., KÜFFNER, R., AND ZIMMER,
A chemostat approach to analyze the distribution of metabolic fluxes in wine yeasts during alcoholic fermentation Quirós, M. 1, Martínez-Moreno, R. 1,
Changes in Gene Regulation in Δ Zap1 Strain of Saccharomyces cerevisiae due to Cold Shock Jim McDonald and Paul Magnano.
Physiological and Transcriptional Responses to Anaerobic Chemostat Cultures of Saccharomyces cerevisiae Subjected to Diurnal Temperature Cycle Kevin Wyllie.
Creating a Gene Regulatory Network Comparing a Wild Type Strain with a Mutant ΔGLN3 Deletion in S. cerevisiae Showed that ΔGLN3 Exhibits No Meaningful.
Central dogma: the story of life RNA DNA Protein.
BY4742  yhr087w YPDYP25YPD KCl 1MYP30 S.1 Defects of the YHR087W deletion mutant under osmotic stress conditions. Growth of the BY4742 and  yhr087w strains.
Integrated Genomic and Proteomic Analyses of a Systematically Perturbed Metabolic Network Science, Vol 292, Issue 5518, , 4 May 2001.
Nonlinear differential equation model for quantification of transcriptional regulation applied to microarray data of Saccharomyces cerevisiae Vu, T. T.,
Comparison of the wild type of S. cerevisiae and S. paradoxus Karina Alvarez and Natalie Williams.
Outline S. cerevisiae, a eukaryote known for cold-shock adaption, used in cold-shock experiments Deletion strand HMO1 and the comparison of microarray.
Comparison of wild type S. cerevisiae and S. paradoxus Natalie Williams and Karina Alvarez.
Comparison of the wild type of S. cerevisiae and S. paradoxus Karina Alvarez and Natalie Williams.
Location of Genes and Gene Expression
Supplementary figure 5.
BCH 447- Metabolism: Mid term date: Wed 9/2/ /11/2017
Scientific Method.
BCH 447- Metabolism: Mid term date: Mon 7/2/ /11/2017
Table of Contents Section 1 Control of Gene Expression
BIO : Bioinformatics Lab
Departments of Biology and Mathematics
Metabolism & Enzymes.
Metabolism & Enzymes.
Chapter 1 What is Biology?.
Simplified Mathematical Modeling of the Nitrogen Metabolism
Budding yeast has a small genome of approximately 6000 genes.
Cold Adaptation in Budding Yeast
Modeling Nitrogen Metabolism in Yeast
1 Department of Engineering, 2 Department of Mathematics,
dCIN5 and Wildtype Transcription Factor Mapping in Cold Shock
1 Department of Engineering, 2 Department of Mathematics,
Simplified Mathematical Modeling of the Nitrogen Metabolism
Subjected to Diurnal Temperature Cycles
Volume 63, Issue 1, Pages (July 2016)
Alyssa Gomes and Tessa Morris
Cold Adaption in Budding Yeast
Lauren Kelly and Cameron Rehmani Seraji Loyola Marymount University
1 Department of Engineering, 2 Department of Mathematics,
ppGpp Controls Global Gene Expression in Light and in Darkness in S
Loyola Marymount University
Biotechnology and Genetic Engineering PBIO 450/550
HIS-24 regulates expression of infection-inducible genes.
EXTENDING GENE ANNOTATION WITH GENE EXPRESSION
Cold Adaptation in Budding Yeast
Gene Expression and Epigenetic Regulation
Tai LT, Daran-Lapujade P, Walsh MC, Pronk JT, Daran JM
dCIN5 and Wildtype Transcription Factor Mapping in Cold Shock
Hugo Tapia, Douglas E. Koshland  Current Biology 
Figure 3. Genes differentially expressed in batch cultures during adaptation to low temperature. Genes differentially expressed in batch cultures during.
Molecular Biology of the Cell Vol. 18, 5100–5112, December 2007
BZR1 Positively Regulates Freezing Tolerance via CBF-Dependent and CBF- Independent Pathways in Arabidopsis  Hui Li, Keyi Ye, Yiting Shi, Jinkui Cheng,
Volume 4, Issue 1, Pages (January 2011)
Overlap between changes in de novo protein synthesis after p53- or miR-34a-induction. Overlap between changes in de novo protein synthesis after p53- or.
Volume 3, Issue 2, Pages (March 2010)
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.
Presentation transcript:

Molecular Biology of the Cell Vol. 18, 5100–5112, December 2007 Acclimation of Sacchoromyces cerevisiae to Low Temperature: A Chemostat-based Transcriptome Analysis Siew Leng Tai, Pascale Daran-Lapujade, Michael C. Walsh, Jack T. Pronk, and Jean-Marc Daran Molecular Biology of the Cell Vol. 18, 5100–5112, December 2007 Presentation by: Lauren Magee, Karina Alvarez, William Gendron and Alyssa Gomes Biology 398/S15

Outline Objectives and significance of this experiment Background Information Methods and Procedure Transcriptome Responses and Results Comparisons: Chemostat vs. Batch cultures Implications Works Cited

Outline Objectives and significance of this experiment Background Information Methods and Procedure Transcriptome Responses and Results Comparisons: Chemostat vs. Batch cultures Implications Works Cited

Objectives and Significance Objective: Study the steady-state acclimatized growth of Saccharomyces cerevisiae cultures and its transcription, under temperatures of 12°C and 30°C and at a growth rate of 0.03 h⁻¹ Significance: All eukaryotes have some similarities on a cellular level so yeast serves as a model organism Knowing what transcription factors affect what genes can help us predict the effect of temperature on possibly a variety of organisms

Questions to Consider: Although this has previously been studied by Sahara, Homma, Schade and Murata: Why did prior studies differ in their answers about growth of expression ribosomal protein genes? Why did cold shock bring out reserve carbohydrate while trehalose only only arose in near freezing temperature? Is there any way to bring out the Ms2p/Msn4p complex that is previously suggested to be a transcriptional factor in cold temperature? How can we study and describe the difference between acclimation and shock responses in S. cerevisiae?

Outline Objectives and significance of this experiment Background Information Methods and Procedure Transcriptome Responses and Results Comparisons: Chemostat vs. Batch cultures Implications Works Cited

Background Saccharomyces cerevisiae is a yeast exposed to many external and environmental changes that may affect chemical processes and structures There is a difference in sudden exposure and gradual exposure because sudden exposure is stress-response and gradual will lead to acclimation Chemostat cultures allow many factors to remain stable in acclimatized environments

Outline Objectives and significance of this experiment Background Information Methods and Procedure Transcriptome Responses and Results Comparisons: Chemostat vs. Batch cultures Implications Works Cited

Methods and Procedures Strain: Saccharomyces cerevisiae Growth rate: 0.03 h⁻¹ Volume: 1.0 L Temperatures: Set to 12°C initially then 30°C 3 culture replicates Anaerobic growth, biomass dry weight, metabolites and steady-state (regulated by growth) set stable

Analytical Methods Supernatants (soluble liquid part of sample after centrifugation/precipitation) collected with rapid sampling Liquid chromatography used to analyze concentrations of glucose and metabolites Cuvette tests used to examine ammonium concentrations Measured trehalose amounts (3x) Roche kit used to examine amount of glucose from breakdown

Microarray Analysis Results came from 3 culture replicates Microsoft Excel used to examine analyses on microarray add-ins Venn Diagrams used to compare difference in Glucose and Ammonium limiting anaerobic growth Database for Annotation, Visualization, and Integrated Discovery, and online genome sets used for comparisons

Outline Objectives and significance of this experiment Background Information Methods and Procedure Transcriptome Responses and Results Comparisons: Chemostat vs. Batch cultures Implications Works Cited

Table 1: Physiological characteristics of S Table 1: Physiological characteristics of S. cerevisiae in chemostat cultures S. cerevisiae grew less on ammonium-limiting cultures compared to glucose-limiting cultures. There were slight differences in biomass between different temperatures in the same cultures.

Fig. 1: Different transcription levels in different nutrient-limited cultures More differences in transcription levels in ammonia-limited cultures than in glucose-limited cultures 235 genes showed regulation in both conditions

Figure 2: Heat map of transcript level ratios The change in transcription levels depended on the temperature of the environment and the limiting conditions. Genes have lower transcription rates in lower temperatures in both glucose-limited and ammonium-limited conditions

Table 2: Protein and carbohydrate contents of S Table 2: Protein and carbohydrate contents of S. cerevisiae in anaerobic cultures The cultures had higher biomass dry weights in ammonium-limited cultures compared to glucose-limited cultures.

Table 3: Overrepresented binding motifs and promoter elements More transcription factors were overrepresented in the different cultures.

Figure 3: 259 genes were common to three-batch culture studies 91 genes were commonly up regulated, while 48 genes were commonly down regulated Three different low temperature batch cultures differing in conditions.

Outline Objectives and significance of this experiment Background Information Methods and Procedure Transcriptome Responses and Results Comparisons: Chemostat vs. Batch cultures Implications Works Cited

Figure 4: Comparison of Studies Shows overlapping genes Isolates those actually related to shock Other genes related to other conditions

Figure 5:Finding Growth Rate Genes Shows that there are overlaps with growth rate Shows other gene changes involved

Figure 6: Identifies ESR Genes Eliminates ESR genes Specifies which ones are a result from shock

Outline Objectives and significance of this experiment Background Information Transcriptome Responses and Results Comparisons: Chemostat vs. Batch cultures Implications Works Cited

Implications Able to find more specific genes by testing the same changes under different conditions Changing the system shows the real reason behind certain changes in a complex system

Answered Questions: Why did prior studies differ in their answers about growth of expression ribosomal protein genes? Differences in regulation of batch and chemostat constants and cultures Why did cold shock bring out reserve carbohydrate while trehalose only arose in near freezing temperature? Transcription values of trehalose not affected by temperature shocks. Trehalose transcript amounts lower at 12°C while glycogen higher (by 50%) Is there any way to bring out the Ms2p/Msn4p complex that is previously suggested to be a transcriptional factor in cold temperature? Ms2p/Msn4p both regulate storage carbohydrate synthesis. But results indicated that low temp acclimation does not involve Ms2p/msn4p but based on different regulation method How can we study and describe the difference between acclimation and shock responses in S. cerevisiae? Compare chemostat studies with batch studies.

Outline Objectives and significance of this experiment Background Information Transcriptome Responses and Results Comparisons: Chemostat vs. Batch cultures Implications Works Cited

Works Cited Tai, Siew L., Pascale Daran-Lapujade, Michael C. Walsh, Jack T. Pronk, and Jean-Marc Daran. “Acclimation of Saccharomyces Cerevisiae to Low Temperature: A Chemostat-based Transcriptome Analysis.” Molecular Biology of the Cell 18 (200): 5100-112. The American Society for Cell Bioloy, 27 Sept. 2007. Web.