20.109(S13):Preparing cells for analysis (Day4)

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20.109(S13): Laboratory Fundamentals of Biological Engineering

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Contents

Introduction

Today you will start collecting the key data for your chondrocyte or stem cell phenotype experiment. Recall that chondrocytes may de-differentiate to fibroblasts if not kept in the appropriate environment, while stem cells can undergo chondrogenesis under the right conditions. So, how do we tell chondrocytic and non-chondrocytic cell types apart?

Folks trying to engineer cartilage tissue have been in interested in this and similar questions for some time. After all, the more closely an in vitro or in vivo model construct can mimic natural tissue and promote its development, the more successful it may be for wound and disease repair. Engineering tissue thus requires an expert understanding of what the native tissue is like. Articular cartilage is a water-swollen protein network consisting of >50% collagen Type II, along with small amounts of collagen Types IX and XI. The collagen fibrils vary in diameter, cross-linking density, and orientation (random or aligned) depending on the depth of the tissue cross-section that is examined (see figure). Unlike cartilage, many other connective tissues are composed primarily of collagen Type I.

Extracellular matrix (ECM) proteins such as the collagens must be synthesized by cells. Chondrocytes readily synthesize collagen II, while fibroblasts and mesenchymal stem cells primarily synthesize collagen I. Thus, the expression and production of different collagens is one way to distinguish these cells types. To study collagen at the gene transcript level, you will break open and homogenize your cells using a lysis reagent and column (QIAshredder) and then isolate RNA using an RNeasy kit from Qiagen. The RNeasy kit includes silica gel columns, similar to the ones you used to purify DNA in Module 1, that selectively bind RNA (but not DNA) that is >200 bp long under appropriate buffer conditions. Due to size exclusion, the resultant RNA is somewhat enriched in mRNAs relative to rRNA and tRNA. To further purify for mRNA, one could use a polyT affinity column to capture the polyA tail of this RNA type, but we will not do this today.

After eluting and measuring your total RNA, you will perform a reverse transcription (RT) reaction to make cDNA from the mRNA. Next time you will amplify the gene transcripts of interest, namely those for the collagen I and collagen II alpha chains, by PCR. In previous iterations of this module, we used the same 1-step RT-PCR kit from Qiagen that we used in Module 1, and then ran the amplified cDNA products out on an agarose gel to compare the changes in collagen II and I expression for the two culture conditions. As you may have noticed by now, agarose gels do not have a large dynamic range. Moreover, end-point PCR is prone to error should the conditions (e.g., amount of RNA) deviate from those used to optimize the assay. For these reasons, this year we will try a more sensitive method for quantifying the transcripts, called real-time-PCR or sometimes RT-PCR, confusingly! The method is also called qPCR, for quantitative PCR.

In qPCR, the amount of DNA is measured after each cycle of PCR, in contrast to an end-point PCR assay. The DNA is detected by using a dye that fluoresces only when it binds to DNA (similar to ethidium bromide staining), or even a tagged primer that fluoresces only when it binds to the desired product. As the DNA is amplified, fluorescence is repeatedly measured and increases exponentially over time. Finally, cDNA product renaturing competes with primer annealing and the fluorescence intensity plateaus rather than growing. Comparisons between samples are done using data in the exponential regime.

For both qPCR and end-point RT-PCR, in order to compare transcript levels from different samples normalization with a housekeeping gene must be done. Housekeeping genes are ones that are not expected to be affected by the experimental condition, such as essential genes for metabolism. For end-point gel analysis, one simultaneously amplifies the cDNA of interest and a cDNA for a protein such as GAPDH in the same reaction tube. Primers are designed such that the two product sizes are distinguishable on a gel. In qPCR, multiple primer sets can only be used in the same reaction if they are compatible with two different fluorophores. In our case, we will use a non-specific DNA stain that cannot distinguish different products, so we will run our experiment and control (in this case measuring 18S ribosomal RNA) in separate wells. This experimental set-up means that your pipetting should be more careful than ever!

When measuring changes in gene expression, primer design must be appropriate for a cDNA rather than genomic DNA. For example, a single primer that includes sequence from two neighbouring exons (along with a second primer that has sequence from just one exon) will amplify mRNA but not genomic DNA, which may be present as a contaminant (see also figure at right). What will happen if each primer contains sequence from only one exon? Primer design and quality control for qPCR also entail further consideration, particularly if tagged primers are used. In our case, the true efficiency of the primers needed to be measured (maximum efficiency is 2, i.e., perfectly exponential growth) to enable later quantification of transcript level changes. You will learn more about qPCR analysis in the coming week.

Next time (day 5) we’ll initiate an assay called ELISA to observe collagen at the protein (rather than transcript) level and also begin analysis of the data collected thus far.

Protocols

If you got to go to the TC room first on Day 2, you will go in the second cohort today (and vice-versa). If you are in the second group, use the time that you are waiting to complete your research idea discussion, and if you have time to also prepare your RNase-free area, label tubes that you will need, etc.

Part 1: Research idea discussion

Before (second TC cohort) or after (first TC cohort) your wet-lab work today, take some time to discuss the five research results you wrote up for homework with your lab partner, guided by the instructions below.

Writing a research proposal requires that you identify an interesting topic, spend lots of time learning about it, and then design some clever experiments to advance the field. It also requires that you articulate your ideas so any reader is convinced of your expertise, your creativity and the significance of your findings, should you have the opportunity to carry out the experiments you’ve proposed. To begin you must identify your research question. This may be the hardest part and the most fun. Fortunately you started by finding a handful of topics to share with your lab partner. Today you should discuss and evaluate the topics you’ve gathered. Consider them based on:

  • your interest in the topic
  • the availability of good background information
  • your likelihood of successfully advancing current understanding
  • the possibility of advancing foundational technologies or finding practical applications
  • if your proposal could be carried out in a reasonable amount of time and with non-infinite resources

It might be that not one of the topics you’ve identified is really suitable, in which case you should find some new ideas. It’s also possible that through discussion with your lab partner, you’ve found something new to consider. Both of these outcomes are fine but by the end of today’s lab you should have settled on a general topic or two so you can begin the next step in your proposal writing, namely background reading and critical thinking about the topic. Check in with Thomas and get his feedback about your ideas.

A few ground rules that are 20.109 specific:

  • You should not propose any research question that has been the subject of your UROP or research experience outside of 20.109. This proposal must be original.
  • You should keep in mind that this proposal will be presented to the class, so try to limit your scope to an idea that can be convincingly presented in a twelve minute oral presentation.

Once you and your partner have decided on a suitable research problem, it’s time to become an expert on the topic. This will mean searching the literature, talking with people, generating some ideas and critically evaluating them. To keep track of your efforts, you should start a wiki catalog on your OpenWetWare user page. How you format the page is up to you but check out the “yeast rebuild” or the “T7.2” wiki pages on OpenWetWare for examples of research ideas in process. As part of your FNT assignment, you will have to print out your wiki page specifying your topic, your research goal and at least two helpful references that you’ve read and summarized.


Part 2: Prepare cell lysates

You will prepare cell-bead samples in three different ways: one will allow you to count your cells, and is suitable for RNA preparation, while the other two will involve more stringent bead/matrix dissolution for better protein or proteoglycan recovery. Split up the work with your partner whatever way is most convenient. Remember to label your samples carefully at every step.

  1. Before proceeding, briefly observe the cell-bead constructs under the microscope and note any changes from Day 3.
    • Let the teaching faculty know if you have difficulty focusing within a bead.
  2. Remove the culture medium from each of your samples. Be careful not to suck up the beads; it will help to use a serological pipet just as you did when washing your freshly synthesized beads. A 10 mL pipet size should work well for most beads, while for very delicate beads, you should use a 2 mL serological pipet or even a P1000.
    • If you are concerned about your bead amount, talk to the teaching faculty. You might skip the proteoglycan assay and focus on the other two instead.
  3. About 1/3 of your beads will be used to measure protein content: move these to an eppendorf tube. The goal is about 10-15 (2-3 mm) beads per tube.
    • For large beads (4-5 mm), you might use only 5-10 beads, and for very small beads (<1 mm), you might use 20 or more.
  4. Another 1/3 will be used to measure proteoglycan content; these whole beads can also be moved to an eppendorf tube.
  5. The final 1/3 will be used to isolate RNA. Using a sterile spatula, transfer the beads into a fresh well of your 6-well plate. This transfer step is to exclude any cells that are growing on the bottom of the plate (as opposed to actually in the beads) from analysis.

Samples for RNA Isolation

  1. Rinse the transferred bead-cell constructs with 4 mL of warm PBS, then aspirate the buffer.
    • If your beads are very fragile, you might want to skip the PBS rinse, and directly proceed to step 2.
  2. Add 3 mL of EDTA-citrate buffer, and incubate at 37 °C for 10 min.
    • Meanwhile, prepare the beads for the protein and proteoglycan assays as described below.
  3. Now recover your cells:
    • Add 3 mL of warm complete culture medium, pipet up and down to break up the beads (you may find this easier with a 1 mL pipetman rather than a serological pipet), and transfer to a 15 mL conical tube.
    • Spin the cells down at 1900g for 6 min (using the centrifuge that is in the TC room).
  4. Resuspend in ~ 1-1.5 mL of culture medium, and write down what you use. Mix thoroughly by pipetting, then set aside a 90 μL aliquot of your cells for counting, and put the rest of the cells into another eppendorf tube.
    • If you have very few cells based on your Day 3 observations and/or having very few beads, you might consider skipping the cell count, and instead keeping all of the cells for RNA isolation. If you have too few cells to get a reliable cell count, you are not losing valuable information for your report in any case. And if you have so few cells that taking some of them for a count compromises your other data, that would not be preferable to missing the cell count.
  5. While one of you begins the spin in the main lab (see Part 2), the other should count your cell aliquot as on Day 2, at a 9:1 ratio with Trypan blue. Separately calculate the approximate numbers of live and of dead cells.
    • Recall that you must multiply by 10,000 (and your dilution factor) to convert a cell count to a cells/mL concentration.

Samples for Protein Extraction

  1. Per eppendorf tube (typically 10-15 beads), add 133 μL of EDTA-citrate buffer, and pipet up and down for 20-30 seconds to dissolve the beads. The resulting solution may be viscous.
  2. Pipet 33 μL of 0.25 M acetic acid into each eppendorf tube.
  3. Finally, pipet 33 μL of 1 mg/mL pepsin in 50 mM acetic acid into each tube and mix well.
  4. Move your eppendorf tubes into the rack in the 4 °C fridge. Tomorrow we will move them to an elastase solution (also at 4 °C) to break down the polymeric collagen to more readily measured monomeric collagen.

Samples for Proteoglycan Extraction

  1. Add 250 μL of papain solution to your beads. The papain is in an EDTA-citrate buffer base.
  2. When the first partner goes to the main lab, s/he should take this tube to the 60 °C heat block. After 24 hours, the samples will be moved to the fridge.

Revise for S13 -- rinse?

Part 3: RNA isolation and measurement

add back info about being RNA-safe; no RNA module this year

  1. Pellet the cells for RNA isolation back in the main lab (8 min at 500 g).
    • Before pelleting your cells, clean your microfuge. You can finish setting up your RNA work area while the cells spin down. See Module 1 Day 3 if you need a refresher.
  2. Remove the supernatant from your cell pellets using pipet tips from an RNase free tip box. (Discard this and other supernatants in a conical waste tube.)
  3. Now, in the fume hood, add 350 μL RLT with β-mercaptoethanol to each cell sample – vortex or pipet to mix.
    • If you have more than 5 million cells, you will need to double the amount of RLT used - talk to the teaching faculty.
  4. Add each cell lysate to a separate QIAshredder column, which is used to remove particulate matter. Microfuge the columns (over a 2 mL collection tube) for 2 min at max speed.
  5. Add 1 volume (slightly > 350 μL) of 70% ethanol to each lysate and pipet to mix.
  6. Apply each sample (including any precipitate) to a separate RNeasy mini column (over a tube). Microfuge for 15 sec and discard the flowthrough.
  7. Add 700 μL RW1 buffer to each column. Microfuge 15 sec and discard the eluant again.
  8. Add 500 μL RPE buffer atop the columns, microfuge as before (15 sec), and discard the flowthrough.
  9. Repeat the addition of 500 μL RPE, but this time centrifuge for 2 min. prior to discarding the flowthrough.
  10. Transfer the columns to fresh 2 mL collection tubes.
  11. Centrifuge the column/tube "dry" for 1 min. Running a column like this helps to fully dry it, and to prevent carryover of ethanol.
  12. Trim the caps off of two new 1.5 ml eppendorf tubes (save the caps!) and label the sides of the tubes.
  13. Transfer the dried columns into the trimmed eppendorf tubes and elute the RNA from the columns by adding 30 μL of RNase-free water to each. Microfuge for 1 min then cap the tubes and store the eluants on ice.
  14. Measure the concentration of your RNA samples as you did in Module 1, but using a somewhat higher concentration (15 μL RNA in 385 μL Tris buffer). Remember to take a measurement at both 260 and 280 nm, using wavelength scan mode.
    • For your blank and samples, make sure the cuvettes are always oriented the same way (for example, with the "eppendorf" label always on the left-hand side).
    • Today we will dilute in Tris buffer rather than water to get a more accurate estimate of the UV absorbances.
  15. Note the RNA concentrations of your samples in the table below, using the fact that 44 μg/mL of RNA will give a reading of A260 = 1.
  16. Ideally, you will use 500 ng of RNA in each RT reaction. However, you also want all reactions to start with an equal amount of RNA template. At most you can use 7.5 μL of RNA per reaction. If you can use 500 ng per reaction within these contraints, do so. Otherwise, figure out which one of your samples is limiting, and scale the other added sample amount so they are equal. The table below may be helpful.
  17. Finally, note that if you use less than 7.5 μL RNA, water should be added to make up the difference.
Sample A260 RNA conc. (μg/mL) Max RNA per rxn (ng in 7.5 μL) Volume RNA needed per rxn Volume water needed per rxn
1:
2:

Part 4: RT reactions

  1. Set up your reactions on a cold block as usual. You will prepare one reaction for each of your samples. Random hexamer primers will be used so that all (we hope) transcripts are amplified. This is more convenient than adding unique primers for each transcript of interest.
  2. From one of the shared stocks, pipet 22.5 μL of Master Mix into each of two well-labeled PCR tubes. The Master mix contains water, buffer, dNTPS, primers, and and an enzyme mixture.
  3. Now you can add 7.5 μL of the appropriate RNA (or RNA and water as needed) to each tube.
  4. The following thermal cycler program will be used: 20 min at 25 °C, 30 min at 42 °C (reverse transcription step), then cooling. After the RT is completed, the teaching faculty will store the samples in the freezer until next time.

In whatever time remains today, you can continue discussion of your shared research idea with your partner, work on your Module 3 report, etc. The easiest thing might be to get the analysis of your Day 3 data out of the way, as described below.

Part 5: Begin viability analysis (optional)

Starting today or as late as Day 6, you will use an image analysis program called ImageJ to quantify your live/dead data. This is offered free of charge by the NIH (National Institutes of Health). To make the TA's job easier, please hand in your viability analysis and answers to the questions on Day 6, whether you do it earlier or not.

Cell Counting

Your goal for this section will be to compare the effort required for, and the resulting accuracy of, manually counting live and dead cells vs. doing so by semi-automated image analysis. After you are done, you might consider under what conditions you might prefer one method or the other.

If you don't have many cells to look at, extra data is available on today's Talk page.

  1. Open your live cell image (green filter) by selecting FileOpen
  2. Choose the line tool, and draw a line across the diameter of a typical cell
  3. Select AnalyzeSet Scale, and put 10 μm in under Known Distance
    • note: in lieu of using the exact pixel information from the camera, we simply are putting in the average size of a cell
  4. Convert your image to grey scale using ImageType8-bit
  5. Now you must somehow select your cells out from the background
    • One way to do this is by choosing ProcessBinaryMake Binary. However, you might find that clusters of cells are ‘read’ as a single cell.
    • An improved method is to use ImageAdjustThreshold. You can set the upper- and lower-bound intensities that define objects in your image. Play with the intensity sliders until your cells are mostly filled in with a red colour, but not overlapping with other cells whenever possible.
  6. Now you can count the objects. Choose AnalyzeAnalyze Particles, and select ShowOutlines, Display Results, Summarize, and Record Stats. Also choose a reasonable area (not diameter!) range for objects that are cell-sized.
  7. Try to play around with this process for a bit – are there any further changes you can make so the automated algorithm is as good as your eye?
  8. Record your final results (manual and best automated) in your notebook, for each sample that you have data for. Don’t forget to also count the dead cells, and subtract this number from the live cells (since the filter we used shows both green and red cells at once).
Statistical Analysis

Once you have cell counts (whether automated or manual) that you are happy with, you can practice doing some basic statistical analysis.

  1. Begin by downloading the following Excel file as a framework to carry out the basic statistical manipulations we discussed in Lecture 3. The file is modified from one originally written by Professor Bevin Engelward.
  2. Find and plot 95% confidence intervals for the live cell counts and/or live cell percentage for each of your two samples.
    • What are the advantages and disadvantages of looking at counts versus percentages? In what situations would looking at counts be misleading?
  3. Compare the means (count and/or percentage) of your two samples. At what confidence level (if any) are they different?

For next time

  1. Write a brief response (250 ± 50 words) to one of the excerpts that were handed out in lecture and lab.
    • These excerpts are drawn (with some editing) from previous 20.109 student essays about the prospect of standardization in tissue engineering.
    • You may revise the response you started during lecture, or write a brand new one.

Reagent list

  • Culture medium as on Day 1
  • Release Buffer for Beads
    • 150 mM NaCl
    • 55 mM sodium citrate
    • 30 mM EDTA
  • For protein extraction
    • 0.25 M acetic acid
    • pepsin (Sigma), at 1 mg/mL in 50 mM acetic acid
    • TBS buffer (pH 7.8-8.0), NaOH to get pH to 8.0, 1 mg/mL elastase in TBS
      • 10X TBS is 1M Tris, 2M NaCl, 50 mM CaCl2
  • For proteoglycan extraction
    • 150 mM NaCl, 55 mM sodium citrate, 5 mM EDTA, 5 mM cysteine hydrochloride, 0.56 U/mL papin
  • For RNA extraction
    • Qiagen QIAshredder columns
    • Qiagen RNeasy kit
      • RLT needs to have βmercaptoethanol added before use (just an aliquot, stable for 1 month)
      • buffer PE needs to have ethanol added prior to first use
  • RT Master Mix

Materials are from Applied Biosystems unless otherwise noted. Concentrations are final.

Component Concentration
Random hexamer Primers 1.25 μM
dNTPs (Promega) 1 mM
RNase inhibitor 0.5 U/μL
Multiscribe muLV (murine leukemia virus) reverse transcriptase 1.25 U/μL
PCR buffer and MgCl2 N/A, multi-component
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