The chip mold was constructed by patterning photoresist (SU8, Clariant Corp.) on silicon wafer in



Similar documents
by the PCR-mediated method (Krawchuk and Wahls, 1999). The construction of Ams2-null and conditional ams2-shut-off strains was previously described

Review. March 21, S7.1 2_3 Estimating a Population Proportion. Chapter 7 Estimates and Sample Sizes. Test 2 (Chapters 4, 5, & 6) Results

CYCLIN DEPENDENT KINASES AND CELL CYCLE CONTROL

Data Integration. Lectures 16 & 17. ECS289A, WQ03, Filkov

6 Scalar, Stochastic, Discrete Dynamic Systems

Evaporation-based Microfluidic Production of. Oil-free Cell-Containing Hydrogel Particles

Modélisation. lisation,, simulation et analyse qualitatives de réseaux d'interactions, application au cycle cellulaire mammifère

Induction of Enzyme Activity in Bacteria:The Lac Operon. Preparation for Laboratory: Web Tutorial - Lac Operon - submit questions

Scatter Plots with Error Bars

An approach of detecting structure emergence of regional complex network of entrepreneurs: simulation experiment of college student start-ups

Supporting Information. Rapid Prototyping of Microchannels with Surface Patterns for Fabrication of Polymer Fibers

SCRATCHING THE SURFACE OF PROBABILITY. Robert J. Russell, University of Paisley, UK

EXCEL Tutorial: How to use EXCEL for Graphs and Calculations.

Basic Analysis of Microarray Data

Feed Forward Loops in Biological Systems

Contributions to Gang Scheduling

. Address the following issues in your solution:

Supporting Online Material for

Time series analysis as a framework for the characterization of waterborne disease outbreaks

Vertical Alignment Colorado Academic Standards 6 th - 7 th - 8 th

A Sarsa based Autonomous Stock Trading Agent

Characterizing Wireless Network Performance

Molecular and Cell Biology Laboratory (BIOL-UA 223) Instructor: Ignatius Tan Phone: Office: 764 Brown

Experiment 10. Radioactive Decay of 220 Rn and 232 Th Physics 2150 Experiment No. 10 University of Colorado

GeoGebra Statistics and Probability

Materials and Methods. Ribonuclease.--Removal of ribonucleic acid from meristematic onion cells did not show any qualitative differences

Module 5. Broadcast Communication Networks. Version 2 CSE IIT, Kharagpur

Chapter 13: Meiosis and Sexual Life Cycles

Adverse Impact Ratio for Females (0/ 1) = 0 (5/ 17) = Adverse impact as defined by the 4/5ths rule was not found in the above data.

DeCyder Extended Data Analysis module Version 1.0

WAVELET ANALYSIS BASED ULTRASONIC NONDESTRUCTIVE TESTING OF POLYMER BONDED EXPLOSIVE

DENSITY MEASURING SYSTEMS

Stem Cells. Part 1: What is a Stem Cell?

Genetomic Promototypes

Total Hot Spot Management from Design Rule Definition to Silicon Fabrication

The QOOL Algorithm for fast Online Optimization of Multiple Degree of Freedom Robot Locomotion

Exercise with Gene Ontology - Cytoscape - BiNGO

Exploratory Spatial Data Analysis

Summarizing and Displaying Categorical Data

REAL TIME TRAFFIC LIGHT CONTROL USING IMAGE PROCESSING

Self-Organization in Nonequilibrium Systems

Interpreting Data in Normal Distributions

Evaluating Surface Roughness of Si Following Selected Lapping and Polishing Processes

Microlenses immersed in nematic liquid crystal with electrically. controllable focal length

Maya 2014 Basic Animation & The Graph Editor

Using Excel (Microsoft Office 2007 Version) for Graphical Analysis of Data

ALLEN Mouse Brain Atlas

IncuCyte ZOOM Whole Well Imaging Overview

Time value of money. appendix B NATURE OF INTEREST

The recommendations made throughout this book are by the National Health and Medical Research Council (NHMRC).

Architectural Level Power Consumption of Network on Chip. Presenter: YUAN Zheng

THE HUMAN BRAIN. observations and foundations

Cash Flow and Accounts Receivable Management for Dialysis

INTRODUCTION TO BACTERIA

Engineering Problem Solving and Excel. EGN 1006 Introduction to Engineering

Calibration and Linear Regression Analysis: A Self-Guided Tutorial

pm4dev, 2015 management for development series Project Schedule Management PROJECT MANAGEMENT FOR DEVELOPMENT ORGANIZATIONS

Arena 9.0 Basic Modules based on Arena Online Help

Rethinking synchronization of mammalian cells for cell cycle analysis

Appendix 4 Simulation software for neuronal network models

Interference Analysis

Using Excel for Handling, Graphing, and Analyzing Scientific Data:

The Awesome Power of Yeast Genetics: Spontaneous and Induced Mutagenesis and Complementation Analysis using Saccharomyces cerevisiae.

2013 MBA Jump Start Program. Statistics Module Part 3

EXPERIMENTAL STUDY OF STRUCTURAL ZONE MODEL FOR COMPOSITE THIN FILMS IN MAGNETIC RECORDING MEDIA APPLICATION

Analytical Test Method Validation Report Template

When to Refinance Mortgage Loans in a Stochastic Interest Rate Environment

MAKING AN EVOLUTIONARY TREE

3 Some Integer Functions

Exercise 1.12 (Pg )

New Energy Lab. Experiment Guide. New Energy Lab - Experiment Guide 1

Cloud screening and quality control algorithms for the AERONET. database

Price controls and banking in emissions trading: An experimental evaluation

Every time a cell divides the genome must be duplicated and passed on to the offspring. That is:

Network Analysis. BCH 5101: Analysis of -Omics Data 1/34

Comparative genomic hybridization Because arrays are more than just a tool for expression analysis

Optimization of Preventive Maintenance Scheduling in Processing Plants

The Olympus stereology system. The Computer Assisted Stereological Toolbox

Modelling Emergence of Money

Inwall Room Temperature Unit

Data Analysis Tools. Tools for Summarizing Data

Education & Training Plan Accounting Math Professional Certificate Program with Externship

Modeling and Simulation of Gene Regulatory Networks

A Microfluidic Chemiluminescence Immunoassay for Measurement of Testosterone in Serum and Urine

RT 2 Profiler PCR Array: Web-Based Data Analysis Tutorial

All the prepared formulations were subjected for following. evaluation parameters and obtained results were showed in Tables 6.3 &

ACE. Automated Soil CO 2 Exchange System. Soil flux: an important component of total carbon budget

Johnson State College External Degree Program. BIO-1210-JY01 Introduction to Biology Syllabus Spring 2015

Lecture 1 MODULE 3 GENE EXPRESSION AND REGULATION OF GENE EXPRESSION. Professor Bharat Patel Office: Science 2, b.patel@griffith.edu.

Chapter 4. Probability Distributions

Amorphous Silicon Backplane with Polymer MEMS Structures for Electrophoretic Displays

Using the Normalized Image Log-Slope

How to Win the Stock Market Game

1 Example of Time Series Analysis by SSA 1

Education & Training Plan. Accounting Math Professional Certificate Program with Externship

Contents; 3.0 Notes 4.0 Acknowledgements & References. 1.0 Materials

NEUROEVOLUTION OF AUTO-TEACHING ARCHITECTURES

A System Dynamics Approach to Reduce Total Inventory Cost in an Airline Fueling System

Kaplan-Meier Survival Analysis 1

Dealing with Data in Excel 2010

Transcription:

SUPPLEMENTARY INFORMATION Cell Cycle Synchronization by Nutrient Modulation Yuan Tian 1, 2, Chunxiong Luo 1, 2, Yuheng Lu 3, Chao Tang 2, 4 1, 2, Qi Ouyang Microfluidic Chip Fabrication The chip mold was constructed by patterning photoresist (SU8, Clariant Corp.) on silicon wafer in a classical overlay lithography procedure. The photoresist relief mold consists of two parts: the higher (about 10 μm) main channel and lower (3.5μm) growth chambers which distributed along main channel and connected to main channel with fine necks (40μm wide, also 3.5μm high), see Figure S1. The chip body was fabricated by molding PDMS (polydimethylsiloxane, RTV615, GE Toshiba silicones Co. Ltd. catalyst: base = 1:8) against mold, then cured in an oven at75 for half an hour, peeled away from master and sealed with a cover slip. The chip bodies are soft, when infused culture medium with syringe pumps, the ceiling of the growth chamber rises a little, so budding yeasts, whose dimension is about 5μm,could be clamped in chambers. There are four equivalent modules in one chip, so four different experiments can be carried out in one chip simultaneously. G 1 index oscillations under different modulation schemes As described in the main text, modulating colonies with 60 min poor + 90 min rich medium or 75 min poor + 75 min rich medium alternately can induce the most effective synchronization. Figs. S2A-G show the G 1 indices of individual colonies used to construct Fig. 4. Here G 1 index curves of four or more colonies (indicated by different colors) correspond to every modulation scheme are plotted, they scatter at the beginning of the experiment then mingle with each other when modulated by 3 or more rounds of starvation. The steady state phase distribution of budding yeast colonies supplied with rich medium was examined in control experiments; the results are shown in Fig. S2H. During the incubation course of 492 min., 27 cells from 9 different colonies multiplied to a total number of 706, the total G 1 index, however, reached a stationary value between 0.3 and 0.4. Note that the G 1 indices for the individual colonies do not show any obvious oscillatory behavior either (Fig. S2H). 1

Computational Model I. The stochastic model used in simulation Saccharomyces cerevisiae has a cell cycle consisting of three phases: G 1, S and M. It is widely accepted that G 1 phase is the nutrient sensitive phase of the budding yeast -- when subject to poor nutrient conditions, G 1 phase is lengthened more than other phases and cells tend to accumulate in G 1 phase. To get a quantitative assessment on the lengths and variability of the cell cycle phases for mother/daughter cells and under the rich/poor nutrient conditions used in our synchronization experiments, we cultured cells in the same rich and poor nutrient conditions and measured the time lengths of different cell cycle phases. The results are summarized in Table S1. In our modulation experiments, poor and rich medium are supplied alternately, so we are interested in the behaviors of cell under nutrient switch but not in a continuous environment. Specifically, to get the phase duration for cells in rich medium, we first treated the yeast colonies with poor medium for one and a half hours, and then photographically recorded their growth in rich medium for the following three hours. Every complete G 1 or non-g 1 process in this 3 hours cultivation, if started in the first 1.5 hours of rich medium, is considered as a sample that can reflect the cell state in the rich medium period of the modulation experiments. We show the distributions of these samples in Fig. 5 (left column), and the mean values and standard deviations in Table S1 (middle row). In the case of non-g 1 phase, all samples were calculated together without distinguishing daughter or mother cells for they are highly similar (the mean length and standard deviation of daughter non-g 1 samples are 66.94 min and 13.64 min, compared to the total mean of 71.48 min). For the case of poor medium, similar experiment and data analysis were performed except that cells were cultivated in poor medium for 8 hours (no prior rich medium treatment was introduced because cells had been supplied with adequate nutrient during hours of experimental preparation) and the start time limitation of non-g 1 samples was enlarged half hour (poor medium caused G 1 phase accumulation, non-g 1 samples were rare close to nutrient switch). The results are shown in Fig. 5 (right column) and Table S1 (lower row). The mean length and standard deviation of daughter non-g 1 samples are 110.5 min and 54.69 min, compared to the total mean of 107.8min. G 1 Non-G 1 2

Mother Daughter Rich nutrient 15.92(4.06) 44.85(20.68) 71.48(19.18) Poor nutrient 128.9(73.66) 173.8(80.45) 107.8(48.34) Table S1: Mean duration and standard variation (in brackets) of cell cycle phases. The unit is in minutes. According to our observations, there is a sizable variation in all the phase lengths. So one of the key issues in our modeling is to capture the variations in the cell cycle behavior in a population. We use the following model to fulfill this goal. Each cell cycle phase is divided into k steps, where k depends on cell type, nutrient condition and the cell cycle phase. Every cell in a population at any given time is at one of the steps. In every round of evolution (in our simulation time step = 10 sec), cells can finish their current step and enter the next one irreversibly with a probability p (which depends on cell type, cell cycle phase and nutrient conditions). So the progression through the cell cycle is regarded as a sequence of events with a transition probability from one event to the subsequent event. According to the probability theory, the time j (in terms of simulation rounds) needed by a cell to finish a cell cycle phase consisted of k steps satisfies the negative binomial distribution: N( j) C 1 p (1 p) k 1 k j k j (1) To derive the parameter k i and p i (where i denotes different conditions: mother/daughter cell, rich/poor medium, G 1 /non-g 1 phase), we fitted the negative binomial distribution to measured phase length data with the help of Matlab Statistics Toolbox. Table S2 summaries our model parameters derived in this way. Mother G 1 Daughter Non-G 1 Rich nutrient k 1 =9, p 1 =0.1098 k 2 =5, p 2 =0.0197 k 3 =14 p 3 =0.0338 3

Poor k 4 =4, k 5 =5, k 6 =6 nutrient p 4 =0.00527 p 5 =0.00486 p 6 =0.009492 Table S2: Model parameters derived from the experimental data. The transition probability is per 10 sec.. Simulation of the dynamical course of cell cycle synchronization Stochastic simulations of the model were carried out to demonstrate that the synchrony is due to the nutrient modulation and to capture the population behavior when various modulation schemes were applied. The initial G 1 index of the simulation run is set to 33% and the cells are distributed uniformly on different steps. When a cell finishes all the k steps in non-g 1 phase, a daughter cell is born into the population. The G 1 index was calculated at the interval of 5 min. If the medium is switched in the middle of a cell cycle phase, it may be mapped to a non-integer position of the corresponding course of the counterpart nutrient environment. In this condition, we round the non-integer step number with probability. For example, when the nutrient switched from poor to rich, a mother cell who finished 3 steps of its G 1 phase will be mapped to the 6.75 (9 3/4) steps of the rich medium G 1 course. Then we set the step number to 6 with a chance of 25% or to 7 with a chance of 75%. Synchronization of the Schizosaccharomyces pombe To demonstrate the generality of our synchronization method, the similar modulation schemes were also applied to fission yeast populations (The rich medium used in fission yeast experiments was YE5S, the poor medium was 2.5% YE5S aqueous solution). The cell cycle of fission yeast can be divided into four phases: G 1, S, G 2, M. Prevoius studies suggested that the fission yeast uses two size thresholds to coordinate its growth and division, one at the entrance of the mitosis, which plays the major role in the nutrient-rich environment; the other at the end of the G 1 phase, which will be in action when the cells are in poor medium (1, 2). So a reasonable period of starvation will result in an accumulation in G 1 phase, which can potentially synchronize the cell cycle (3, 4). Here we considered the separation of the two daughter cells but not the division of nucleus as the beginning of the cell cycle, so the increase of the total cell number in a colony can be calculated by counting newly cleaved septa. Then we 4

introduced septum index the fraction of cells with septa, which can be regarded as a mitotic index to measure the synchronization degree of a fission yeast colony (5). As in the case of budding yeast, the G 1 cell fraction should arise during the poor medium periods, this means that the septum index culminates at the end of rich medium stages, which is confirmed by our experiments (Fig. S3). REFERENCES 1. Nurse P, Thuriaux P (1980) Regulatory genes controlling mitosis in the fission yeast Schizosaccharomyces pombe. Genetics 96:627-637 2. Nurse P (1975) Genetic control of cell size at cell division in yeast. Nature 256:547-551 3. Sando N (1963) Biochemical studies on the synchronized culture of schizosaccharomyces pombe. J Gen Appl Microbiol 9:233-241. 4. Simanis V, Hayles J, Nurse P (1987) Control over the onset of DNA synthesis in fission yeast. Phil Trans R Soc Lond B 317:507-516. 5. Mitchison J (1970) in Physiological and cytological methods for Schizosaccharomyces pombe (Academic Press, London, UK). 5

Figure S1. The chip layout planar graph and 3D structure. Left, the profile of the microfluidic chips used in this work. Top right, the dimensions of the main channels and the growth chambers. Bottom right, the 3D structures and vertical dimensions of the main channels and the growth chambers. 6

Figure S2. G 1 index oscillations of different colonies under different modulation scheme (Dark grey areas indicate poor medium stages and light grey areas rich medium): A, 45 min. poor medium (p) + 45 min. rich medium (r). B, 60 min. p + 60 min. r. C, 75 min. p + 75 min. r. D, 60 min. p + 90 min. r. E, 90 min. p + 60 min. r. F, 90 min. p + 90 min. r. G, 105 min. p + 105 min. r. H, continuous rich medium. 7

Figure S3. The septum index of fission yeast colonies under the modulation of an optimized scheme (40 min. poor1.5% medium + 90 min. rich medium), grey background indicate poor medium stages. a, the overall statistics of fission cells from 5 different chambers modulated with the same scheme (the total cell number at the end of the curve is 513). b, the overall statistics of fission yeast cells from 6 different chambers with continuous rich medium supply (the total cell number at the end of the curve is 544). 8