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TechNotes 11(1) Assessing RNA Quality - VHIR

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Ambion <strong>TechNotes</strong> <strong>11</strong>(1): <strong>Assessing</strong> <strong>RNA</strong> <strong>Quality</strong><br />

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16/09/2005<br />

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Technical Resources > Reading Room > <strong>TechNotes</strong> > Volume <strong>11</strong>:1<br />

<strong>TechNotes</strong> <strong>11</strong>(1)<br />

<strong>Assessing</strong> <strong>RNA</strong> <strong>Quality</strong><br />

<strong>TechNotes</strong> Archive<br />

Melanie Palmer and Ellen Prediger<br />

This is the first in a series of columns on <strong>RNA</strong> quality and <strong>RNA</strong> sample assessment.<br />

Watch for future articles on this subject in upcoming <strong>TechNotes</strong> issues.<br />

m<strong>RNA</strong> Integrity<br />

Because m<strong>RNA</strong> comprises only 1-3% of total <strong>RNA</strong> samples it is not readily<br />

detectable even with the most sensitive of methods. Ribosomal <strong>RNA</strong>, on the<br />

other hand, makes up >80% of total <strong>RNA</strong> samples, with the majority of that<br />

comprised by the 28S and 18S r<strong>RNA</strong> species (in mammalian systems). m<strong>RNA</strong><br />

quality has historically been assessed by electrophoresis of total <strong>RNA</strong><br />

followed by staining with ethidium bromide (see Denaturing gel<br />

electrophoresis at right). This method relies on the assumption that r<strong>RNA</strong><br />

quality and quantity reflect that of the underlying m<strong>RNA</strong> population. Because<br />

mammalian 28S and 18S r<strong>RNA</strong>s are approximately 5 kb and 2 kb in size, the<br />

theoretical 28S:18S ratio is approximately 2.7:1; but a 2:1 ratio has long<br />

been considered the benchmark for intact <strong>RNA</strong>. While crisp 28S and 18S<br />

r<strong>RNA</strong> bands are indicative of intact <strong>RNA</strong>, it is less clear how these long-lived<br />

and abundant molecules actually reflect the quality of the underlying m<strong>RNA</strong><br />

population, which turns over much more rapidly.<br />

Visual assessment of the 28S:18S r<strong>RNA</strong> ratio on agarose gels is somewhat<br />

subjective because appearance of r<strong>RNA</strong> bands is affected by electrophoresis<br />

conditions, amount of <strong>RNA</strong> loaded, and saturation of ethidium bromide<br />

fluorescence (Figure 1). An improved analytical tool for total <strong>RNA</strong> analysis is<br />

the Agilent 2100 bioanalyzer, which uses a combination of microfluidics,<br />

capillary electrophoresis, and fluorescence to evaluate both <strong>RNA</strong><br />

concentration and integrity (see Agilent 2100 bioanalyzer, right, and<br />

www.ambion.com/prod/<strong>RNA</strong>6000 for more details about this analysis<br />

tool). Another advantage is that it requires very small inputs, allowing the<br />

user to assay <strong>RNA</strong> quality in limiting samples. At Ambion, we use this tool to<br />

assess the quality of our pre-made <strong>RNA</strong>s. We have also used it to examine<br />

the relationship between total <strong>RNA</strong> profiles and the integrity of m<strong>RNA</strong>. Some<br />

of our results are discussed in the following sections.<br />

Related Links:<br />

Effect of Freeze-Thawing of Tissue<br />

on <strong>RNA</strong> Integrity<br />

[read]<br />

Make Time Stand Still with<br />

<strong>RNA</strong>later<br />

[read]<br />

Thaw Frozen Tissues without<br />

Damaging <strong>RNA</strong><br />

[read]<br />

Denaturing gel<br />

electrophoresis. Denaturing<br />

agarose gel systems include either<br />

formaldehyde and MOPs buffer, or<br />

glyoxal in the loading buffer, to<br />

denature the <strong>RNA</strong> so that molecules<br />

will run by size. The 28S and 18S<br />

r<strong>RNA</strong> bands are visualized by<br />

ethidium bromide staining. It is<br />

typically necessary to load at least 1<br />

µg of total <strong>RNA</strong> to visualize the r<strong>RNA</strong><br />

bands clearly with EtBr. More<br />

sensitive dyes such as RiboGreen®<br />

allow one to start with about 10X<br />

less total <strong>RNA</strong>.<br />

Agilent 2100 bioanalyzer.<br />

The Agilent 2100 bioanalyzer uses a<br />

combination of microfluidics,<br />

capillary electrophoresis, and<br />

fluorescent dyes that bind to nucleic<br />

acid to simultaneously evaluate both<br />

<strong>RNA</strong> concentration and integrity. As<br />

<strong>RNA</strong> moves through the separation<br />

channel of the LabChip, intercalating<br />

dye within the sieving matrix binds<br />

the <strong>RNA</strong> and the fluorescence of<br />

these molecules is measured as they<br />

pass the detector. The output is a<br />

scan of mass vs. size (Figure 1).<br />

The 28S:18S r<strong>RNA</strong> ratio is calculated<br />

by integrating the areas of 18S and<br />

28S r<strong>RNA</strong> peaks and then dividing<br />

the area of the 18S r<strong>RNA</strong> peak into<br />

the area of the 28S r<strong>RNA</strong> peak. As


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an advantage over EtBr staining of<br />

nucleic acid during gel<br />

electrophoresis, the <strong>RNA</strong>6000 Nano<br />

assay has a linear range between<br />

50-250 ng of <strong>RNA</strong>, requiring little<br />

input <strong>RNA</strong>. The recent introduction of<br />

an <strong>RNA</strong>6000 pico assay allows users<br />

to evaluate as little as 200 pg of<br />

<strong>RNA</strong>. Because the <strong>RNA</strong>6000 assays<br />

are non-denaturing, secondary<br />

structure of the 28S r<strong>RNA</strong> results in<br />

altered migration. (Note that 28S<br />

r<strong>RNA</strong> does not migrate according to<br />

its molecular weight (~5kb) but<br />

rather migrates ahead of the 4 kb<br />

size marker.)<br />

Figure 1. <strong>RNA</strong> Expression Profiles from Different Tissues. Denaturing<br />

agarose gel (inset) and Agilent bioanalyzer scan of Human Heart Total <strong>RNA</strong> (100<br />

ng) (A) and HeLa cell line total <strong>RNA</strong> (B) isolated by multistep phenol extraction<br />

and glass fiber filter binding, respectively. The heart sample had a 28S:18S r<strong>RNA</strong><br />

ratio of 1.51, and the HeLa cell sample had a 28S:18S r<strong>RNA</strong> ratio of 1.72.<br />

The 28S:18S r<strong>RNA</strong> Ratio of 2 -- Is It Important?<br />

r<strong>RNA</strong> Processing<br />

With the exception of <strong>RNA</strong> prepared from cultured cells, it is rare to see total<br />

<strong>RNA</strong>s that actually have a 28S:18S r<strong>RNA</strong> ratio of 2.0 or greater when<br />

measured on the Agilent bioanalyzer (Figures 1,2,3). Ambion believes that<br />

this is in part linked to instability of the 28S r<strong>RNA</strong> structure relative to the<br />

18S <strong>RNA</strong>. This instability may result from its size as well as its high degree of<br />

secondary and tertiary structure. In fact, some 23S and 28S r<strong>RNA</strong>s contain<br />

an AU-rich sequence called a "hidden break" that can result in processing of<br />

these r<strong>RNA</strong> species into two smaller <strong>RNA</strong>s. The molecular mechanism for this<br />

type of processing is poorly understood. It is likely that similar structural<br />

features may be responsible for the "hypersensitivity" of the mammalian 28S<br />

r<strong>RNA</strong> relative to the 18S r<strong>RNA</strong>, resulting in 28S:18S r<strong>RNA</strong> ratios that are less<br />

than the theoretical 2.7:1.<br />

Figure 2 shows bioanalyzer profiles of total <strong>RNA</strong> isolated from 5 different<br />

human prostates with progressively lower 28S:18S r<strong>RNA</strong> ratios. As the area<br />

of the 28S r<strong>RNA</strong> peak decreases, reflecting breakdown, there is first a rise in<br />

the baseline between the 18S and 28S r<strong>RNA</strong> and then a progressive increase<br />

in the baseline area below the 18S r<strong>RNA</strong> that spreads as the 28S r<strong>RNA</strong><br />

fragments become smaller. However, in all but the most degraded sample<br />

(panel E) the 18S r<strong>RNA</strong> peak remains fairly constant among samples,<br />

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Ambion <strong>TechNotes</strong> <strong>11</strong>(1): <strong>Assessing</strong> <strong>RNA</strong> <strong>Quality</strong><br />

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suggesting that this is not associated with large-scale degradation of the <strong>RNA</strong><br />

sample. Rather, this profile seems to result from breakdown of the 28S r<strong>RNA</strong><br />

relative to other <strong>RNA</strong>s. In fact, even when a sample appears to be fairly<br />

degraded based on the 28S r<strong>RNA</strong> profile, the 18S r<strong>RNA</strong> and m<strong>RNA</strong>s may still<br />

be fairly intact.<br />

Figure 2. Breakdown of 28S r<strong>RNA</strong> Fragment. Agilent bioanalyzer scans of<br />

human prostate total <strong>RNA</strong> (100 ng) isolated at different points during progressive<br />

degradation of 28S r<strong>RNA</strong>.<br />

<strong>RNA</strong> Degradation<br />

Traditionally, emphasis on preserving <strong>RNA</strong> quality has been placed on<br />

methods of tissue storage and disruption, with the goal of minimizing RNase<br />

activity during these steps. However, the most critical factor for <strong>RNA</strong> quality<br />

is the physiological state of the tissue at the point of removal, and to date<br />

this issue has received little attention. Isolating <strong>RNA</strong> from human tissue


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presents challenges that are not always present in experimental animal work.<br />

Confounding factors include the physiological state of the tissue prior to<br />

death (referred to as the agonal state), and the post-mortem interval -- the<br />

delay between time of death and tissue collection. In addition, there may be<br />

additional delays before preservation, particularly in clinical settings, where<br />

priorities for biopsy and transplant take precedence. Together, these factors<br />

almost guarantee that human total <strong>RNA</strong> will rarely have 28S:18S r<strong>RNA</strong> ratios<br />

of 2.0. Unfortunately, these factors are unavoidable and are rarely<br />

considered when evaluating <strong>RNA</strong> quality.<br />

Tissue Specific Differences in r<strong>RNA</strong> Ratios<br />

Ambion has also found that r<strong>RNA</strong> ratios correlate, to some degree, with the<br />

tissue of origin. This likely reflects tissue-specific responses to physiological<br />

stress both prior to and following death. For example, lower r<strong>RNA</strong> ratios are<br />

characteristic of some tissues, such as liver or lung, regardless of whether<br />

the tissue is derived from mouse, rat, or human sources. Other tissues, such<br />

as spleen, appear to be more resilient. Figure 3 shows several bioanalyzer<br />

scans of total <strong>RNA</strong> from different human tissues demonstrating this<br />

observation. Note that all total <strong>RNA</strong>s have a relatively low baseline, even<br />

though the r<strong>RNA</strong> ratios vary from 1.95 to 1.2. Most profiles have small spikes<br />

in fluorescence between 24 and 29 seconds, corresponding to the 5S r<strong>RNA</strong><br />

and other small <strong>RNA</strong>s. The fact that the smaller <strong>RNA</strong>s are not buried by<br />

breakdown products suggests that the <strong>RNA</strong>s are largely intact. Northern blot<br />

analysis of these samples using a GAPDH probe detect a sharp band at<br />

approximately 1.4 kb, demonstrating that all of the samples contain intact<br />

m<strong>RNA</strong> (data not shown).<br />

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Figure. 3. Variation in Total <strong>RNA</strong> Profile Among Different Human Tissues.<br />

Agilent bioanalyzer scan of Human Total <strong>RNA</strong> (100 ng) from the noted tissues<br />

using large scale <strong>RNA</strong> preparations by multistep phenol extraction, followed by<br />

LiCl precipitation, and DNase treatment and cleanup. While these <strong>RNA</strong> samples<br />

had variable 28S:18S r<strong>RNA</strong> ratios (see individual panel descriptions), m<strong>RNA</strong> was<br />

judged intact by Northern analysis with a probe to GAPDH (data not shown).<br />

What Conclusions Can We Draw?<br />

At this time there is no simple metric to predict whether m<strong>RNA</strong> is intact,<br />

especially in limiting samples. The Agilent 2100 bioanalyzer has provided a<br />

tool to more clearly evaluate each of the major components making up total


Ambion <strong>TechNotes</strong> <strong>11</strong>(1): <strong>Assessing</strong> <strong>RNA</strong> <strong>Quality</strong><br />

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<strong>RNA</strong> and to assess how they vary with source, time, and storage. However,<br />

the relationship between r<strong>RNA</strong> profile and m<strong>RNA</strong> integrity is still unclear.<br />

Certainly total <strong>RNA</strong> with a 28S:18S r<strong>RNA</strong> ratio of 2.0 denotes high quality.<br />

However, it does not necessarily follow that total <strong>RNA</strong> with lower r<strong>RNA</strong> ratios<br />

are of poor quality, and this is true for the majority of total <strong>RNA</strong>s.<br />

Ensuring <strong>Quality</strong> of Purified <strong>RNA</strong><br />

To ensure that Ambion is providing its customers with the highest quality<br />

human <strong>RNA</strong> available (FirstChoice® <strong>RNA</strong>; for more information, see<br />

www.ambion.com/<strong>RNA</strong>), we have performed an extensive study on<br />

human total <strong>RNA</strong> to analyze the impact of varying r<strong>RNA</strong> ratios on the<br />

underlying m<strong>RNA</strong>. Assays include Northern blot analysis, first- and secondstrand<br />

cDNA synthesis, a<strong>RNA</strong> synthesis, test microarrays, and real-time PCR.<br />

Our data suggest that <strong>RNA</strong> with lower 28S:18S ratios may be quite adequate<br />

for most applications. This should at least comfort some of those scientists<br />

who have struggled to obtain a r<strong>RNA</strong> ratio of 2.0 from a tissue that<br />

consistently yields a ratio of 1.6. Such samples, indeed, generally yield good<br />

a<strong>RNA</strong> amplification and Northern results.<br />

Generally total <strong>RNA</strong>s with 28S:18S r<strong>RNA</strong> ratios >1.0 and a low baseline<br />

between the 18S and 5S r<strong>RNA</strong> or Nano Marker are suitable for all but the<br />

most stringent applications. Through extensive analysis we have determined<br />

that the most critical factor in the above assays, aside from integrity, is<br />

purity. Because most <strong>RNA</strong>s are used in downstream enzymatic applications,<br />

residual contaminants will have the largest impact on the quality of the<br />

resulting cDNA or a<strong>RNA</strong>. The most intact <strong>RNA</strong> will not perform well if the<br />

sample contains residual organics, metal ions, or nucleases. To ensure that<br />

your <strong>RNA</strong> is free of contaminants that can compromise integrity, perform a<br />

simple stability test by incubating a small amount of <strong>RNA</strong> at 37°C for several<br />

hours to overnight and compare it to a duplicate sample stored at -20°C. The<br />

sample stored at 37°C should show a minimal decrease in the 28S:18S ratio<br />

relative to the one stored at -20°C. In general, samples with greater than a<br />

20% change in r<strong>RNA</strong> ratio over time may not perform well in downstream<br />

applications.<br />

RiboGreen® is a registered trademark of Molecular Probes.<br />

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