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Plant Physiol, May 2003, Vol. 132, pp. 27-35
Laser Capture Microdissection of Cells from Plant
Tissues1
Nancy M.
Kerk,
Teresa
Ceserani,
S. Lorraine
Tausta,
Ian M.
Sussex, and
Timothy M.
Nelson*
Department of Molecular, Cellular and Developmental Biology, Yale
University, P.O. Box 208104, New Haven, Connecticut
06520-8104
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ABSTRACT |
Laser capture microdissection (LCM) is a technique by which
individual cells can be harvested from tissue sections while they are
viewed under the microscope, by tacking selected cells to an adhesive
film with a laser beam. Harvested cells can provide DNA, RNA, and
protein for the profiling of genomic characteristics, gene expression,
and protein spectra from individual cell types. We have optimized LCM
for a variety of plant tissues and species, permitting the harvesting
of cells from paraffin sections that maintain histological detail. We
show that RNA can be extracted from LCM-harvested plant cells in amount
and quality that are sufficient for the comparison of RNAs among
individual cell types. The linear amplification of LCM-captured RNA
should permit the expression profiling of plant cell types.
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INTRODUCTION |
Methods such as immunolocalization,
in situ hybridization, and reporter gene visualization have permitted
the cell-specific analysis of the expression of individual genes and of
the accumulation of individual proteins. New methods promise to provide
such cellular information on a genome- and proteome-wide scale.
However, the specificity of information derived from RNA and protein
expression profiling is limited to the specificity of the biological
starting material. It has been challenging to obtain cell preparations of single types, developmental stages, and/or unique locations from
plants, and thus most profiling has only been possible with whole-tissue resolution. Schemes for isolating specific cells thus far
rely on extensive manipulation (e.g. tissue digestion and cell sorting)
and in some cases rely on the prior identification of cell-specific
markers. Laser capture microdissection (LCM) provides a rapid means of
isolating pure cellular preparations directly from heterogeneous
tissues, based on conventional histological identification
(Simone et al., 1998 ). Specific markers can assist with
the identification of the desired cells, before or after isolation, but
they are not a requirement for LCM itself.
In the LCM version developed at the National Institues of Health
(Emmert-Buck et al., 1996 ) and commercially available as the Pix-Cell system (Arcturus Engineering, Mountain View, CA; http://www.arctur.com), a HeNe laser beam is used to tack selected cells to a thermoplastic film suspended above a tissue slice while it
is viewed on an inverted microscope. The film is attached to an
optically clear microfuge tube cap, and cells harvested onto the
cap can be subjected to high-efficiency procedures for the isolation and analysis of DNA, RNA, and protein. Several similar methodologies employ laser pressure catapulting, laser ablation excision, electrostatic harvest, and other variations (for review, see
Roberts, 2002 ), all with the aim of removing visually
identified cells from tissue slices. A variety of proof-of-concept and
analytical studies have demonstrated that the DNA, RNA, and protein
obtained from LCM-harvested cells can be used for microarray-based RNA expression profiling, proteomic protein profiling, and genomic mutational analysis (Banks et al., 1999 ; Jin et
al., 1999 ; Luo et al., 1999 ; Ohyama et
al., 2000 ; Simone et al., 2000 ; Wong et al., 2000 ). In addition to numerous studies with frozen or
freshly fixed and sectioned samples, the LCM method has made possible the recovery of cell-specific materials from specimens archived in
paraffin blocks, although with lower efficiency than from cryosectioned tissue (Goldsworthy et al., 1999 ). Most studies using
LCM have thus far used animal tissues as subjects, and the reported
methods for the fixation, sectioning, visualization, and extraction of macromolecules in LCM experiments have been based on protocols optimized for animal cells (Goldsworthy et al.,
1999 ).
Tissue preparation for any localization study requires a balance
between the preservation of histological detail and preservation of
access to the probed features in a state sufficiently native for
detection. For LCM, the aim is to preserve enough visual detail to
identify specific cells for harvest, yet allow the maximum subsequent
recovery of RNA, DNA, or protein from the harvested cells. Histological
methods for plant tissues differ significantly from those commonly used
for animal tissues, as a result of the differing structures and
compositions of plant and animal cells. A difference relevant to
LCM is the presence of vacuoles and cell walls in plants. Some
methods proven to be useful for LCM of animal tissues, such as
cryosectioning, are undesirable for many plant tissues because of the
difficulty of stabilizing vacuolated cells and the loss of tissue
integrity caused by freezing and thawing. This compromises the ability
to identify cells on the basis of their histological appearance.
Recently, a variation of laser pressure catapulting was used to harvest
rice (Oryza sativa) phloem tissue from cryosections,
although the general applicability and cellular resolution of this
method was not described (Asano et al., 2002 ). The
highly vacuolated nature of many mature plant cell types also means
that the nucleus and cytoplasm may appear as a small target relative to
the total cross-sectional area of the cell.
Here, we provide a scheme for adapting LCM to plant tissues, with the
cellular resolution and stability afforded by paraffin-embedded tissue
sections. We demonstrate that the technique permits the isolation of
cell-specific RNA from complex tissues of various organ systems from
several plant species. Such plant cell-specific RNA is suitable for
amplification into probes for expression profiling, as demonstrated by
recent profiling studies that used amplified RNA isolated from
individual plant cells by micropipetting (Brandt et al.,
2002 ).
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RESULTS |
Preparation of Plant Tissues for LCM
Fixation
Fixation is needed to stabilize the cell contents and to preserve
histological integrity and detail during tissue sectioning and cell
harvest. Unfortunately, this competes with the need to extract cell
contents after harvest. Precipitative fixatives were found to be
preferable for the recovery of RNA from animal cells captured from
cryosections by LCM (Goldsworthy et al., 1999 ). Consequently, we compared the effects of plant tissue precipitative and
cross-linking fixation methods on the recovery of RNA from several
different cell and tissue types, from several species. All of the
methods tested provide adequate preservation of tissue structure for
the identification of individual cell types for single-cell harvests.
However, we recovered two to three times more RNA from
cells harvested from tissues prepared with the precipitative fixative
ethanol-acetic acid than from those treated with the cross-linking
fixatives formaldehyde-acetic acid-ethanol (FAA) and Prefer
(proprietary formula; Fig. 1A). This
suggests that a significant portion of cellular RNA is cross-linked or
otherwise obstructed from extraction by FAA treatment. The fixation
condition provided in "Materials and Methods" should be considered
a starting point for the optimization of the balance between RNA
recovery and tissue preservation for a new tissue source.

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Figure 1.
A, Comparison of RNA recovery using different
fixatives: ethanol-acetic acid (E:AA), Prefer, and FAA. B, Comparison
of RNA recovery from sections of different thickness as indicated below
the graph. The means and SDs of three independent
experiments are shown in the table below the graphs.
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Embedding and Sectioning
For reasons cited above, we paraffin-embedded tissues to prepare
sections for LCM. In addition to providing superior visual aid to cell
harvest, this approach has the advantage that embedded tissues are
stable over time and need not be harvested immediately. The block
serves as an archive that can be resampled or from which serial
sections can be stained or treated with antibodies or other reporters
to identify specific cells for harvest. Such archiving and repeated
sampling is generally impractical for frozen samples.
We tested whether the thickness of the tissue section relative to the
average cell diameter (in depth) had a significant effect on the
success of harvest of cells from various tissues. The cell walls might
present a significant barrier to access and/or release of individual
cells from the top surface of the section, if the section is greater or
less than the average cell thickness. We compared sections of radish
(Raphanus sativus) cortical parenchyma varying in thickness
from 3 to 10 µm (Fig. 1B) and found that section thickness in this
range had little effect on the recovery of RNA from harvested cells. We
standardized on a section thickness of 10 µm for mature tissues and 6 µm for developing tissues with smaller cells.
Paraffin-embedded materials were stable sources of cells and RNA.
Unsectioned blocks of paraffin-embedded tissue remained suitable for
sectioning, LCM, and RNA isolation for at least several weeks if stored
at 4°C in the presence of desiccant. Slides with fixed, and sectioned
specimens were suitable for subsequent LCM for at least 2 weeks if
stored before deparaffinization in the presence of desiccant at 4°C.
Samples should be deparaffinized immediately before the LCM procedure.
After LCM, the adhesive caps with their captured cell samples can be
stored at 80°C in the initial buffer for subsequent RNA isolation
for at least several months before the extraction is completed.
Cells Can Be Harvested by LCM from Many Organ Systems and
Species
We used LCM to harvest cells from paraffin sections of a variety
of organ systems and species, adjusting beam size, power, and duration
to adhere one cell per laser burst to the film. We were successful in
harvesting every cell type and tissue tested, based on visual recovery,
although not all were tested by subsequent RNA extraction and analysis
(Fig. 2). The stability and detail provided by paraffin sections makes possible considerable precision in
cell harvest. Multiple samplings can be made of a single tissue section, to remove different cell types to separate harvesting caps, or
to remove potentially contaminating cells from the vicinity of a few
desired cells. Complex structures such as shoot apices and organ
primordia can be microdissected into cells from individual constituent
cell layers.

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Figure 2.
Laser capture of various cell and tissue types. A
through D, Arabidopsis cotyledon procambium capture: A, before laser;
B, after laser pulses; C, tissue remaining after capture; and D,
procambium captured on cap. E through H, Capture of maize BS cells: E,
before laser; F, after laser pulses; G, tissue remaining after capture;
and H, BS cells captured on cap. I through L, Capture of maize
mesophyll cells: I, before laser; J, after laser pulses; K, tissue
remaining after capture; and L, mesophyll cells captured on cap. Laser
beam size is evident in I, J, and L. M through P, Capture of radish
seedling petiole cells: M, before laser; N, after laser pulses; O,
tissue remaining after capture; and P, parenchyma cells captured on
cap. Q, Maize BS cells captured from two sectioned leaves.
R through T, Capture of tomato shoot tip protoderm: R, before laser; S,
tissue remaining after capture; and T, protoderm of leaf and shoot
apical meristem captured on cap. U and V, Capture of abaxial and
adaxial portions of tomato leaf primordium P1. U, tissue remaining
after abaxial capture; inset, captured P1 abaxial tissue. V, Tissue
remaining after adaxial capture following capture of abaxial leaf
tissue; inset, captured P1 adaxial tissue. W, Laser capture of maize
root meristem showing tissue remaining after capture of quiescent
center; insets, quiescent center capture and surrounding proximal and
distal meristem tissue). X through Z, Capture of rice seedling
procambium: X, before laser; Y, tissue remaining after capture; and Z,
procambium captured on cap.
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Plasmolysis
The vacuole occupies a significant volume in many plant cell
types, in some mature cells limiting the cytoplasm and nucleus to a
thin layer along the plasma membrane. In cases in which it is important
to avoid contamination with adjacent cells, it is possible to shrink
the protoplast away from the shared wall by means of plasmolysis. We
tested whether the disruption of the vacuolar volume by 4-h treatment
in 1 M mannitol had an effect on the harvest of mature
bundle sheath (BS) cells from maize (Zea mays) leaves and
the subsequent recovery of RNA. This plasmolysis treatment concentrates
the cytoplasm and organelles into a collapsed mass, facilitating its
harvest by LCM (Fig. 3). Although the
disruption of the vacuole might be expected to release hydrolytic
enzymes, we were able to isolate intact RNA from cells plasmolysed
before harvest.

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Figure 3.
Effect of plasmolysis on maize leaf cells. A,
Control leaf incubated in water for 4 h before fixation. B, Leaf
incubated in 1.0 M mannitol for 4 h before fixation
(toluidine blue O staining).
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Extraction of RNA from Harvested Cells
There are numerous public-domain and proprietary commercial
methods for the isolation of RNA from small samples. We compared four
representative high-efficiency RNA extraction methods with regard to
RNA yield from plant cells harvested onto Pix-Cell film microfuge caps
(Arcturus Engineering; Fig. 4). These
were an optimized phenol extraction method (TRIzol, Invitrogen,
Carlsbad, CA) and three resin spin-column systems (Nanoprep and
Miniprep, Stratagene; PicoPure, Arcturus Engineering). RNA yield from
Pix-Cell caps was highly dependent on the extraction method used, with
the PicoPure system providing the highest yield. Results for the two
Stratagene kits were comparable, and only data from Miniprep is shown.
For all four methods, the amount of RNA recovered from individual caps
was directly proportional to the number of cells harvested, down to 25 to 50 cells (Fig. 4A). The four RNA extraction methods also varied in
the amount of DNA that contaminated the extracted RNA preparations, as
determined by subsequent DNase treatment (Fig. 4C). The TRIzol method
yielded DNA-free RNA, whereas DNA remained in extractions using the
PicoPure method (Fig. 4D). However, the amount of RNA extracted by the
PicoPure method was consistently greater than with other methods, when
measured after DNase treatment. It should be noted that the PixCell
film is dissolved by the TRIzol extraction but is resistant to the
other methods. For some extraction procedures, it is possible to
extract several caps sequentially to maximize the number of cells in an
extraction volume.

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Figure 4.
A, RNA recovery from radish hypocotyl cells using
different methods: TRIzol (black bars), Miniprep kit (light gray bars;
Stratagene, La Jolla, CA), and Arcturus Engineering PicoPure kit (gray
bars). B, Comparison of RNA recovery from different cell types: radish
hypocotyl (light gray bars) and maize BS cells (black bars). The tables
below A and B show the means and SDs of three independent
experiments. C, DNase treatment of RNA recovered using the TRIzol
extraction. D, DNase treatment of RNA recovered using the PicoPure kit.
Two treatments are shown: DNase I and DNase set (Qiagen USA, Valencia,
CA). Note that the y axis is not continuous.
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We compared the total RNA amounts recovered from cells selected from a
variety of tissue sources, and we measured the proportionality between
number of cells harvested and RNA recovery. The amount of RNA recovered
varied by tissue source and cell type, but was consistently in the
range of 10 to 50 ng RNA 100 cells 1. This
compares favorably with yields reported for captured animal cells
(Mills et al., 2001 ). Figure 4B shows that the yield of RNA from maize BS cells (approximate diameter, 20 µm) and radish cotyledon cells (approximate diameter, 10 µm) was within this range
and that the yield varied linearly with the number of cells harvested,
but with a different slope for each. Yield from a particular cell type
was reproducible over at least three experiments, suggesting that a
cell type has constant properties relevant to cell harvest and RNA
extraction. For example, we consistently recovered two to three times
more total RNA from BS cells than from mesophyll cells harvested from
the same tissue sections (data not shown). The yield differences
between different cell types might be due to intrinsic biological
differences, to differences in RNA extraction efficiency for different
cell sources, or to a combination of these. This suggests that care
should be used to normalize yields in designing experiments that rely
on quantitative comparisons between different cell types.
Specificity and Quality of RNA from Harvested Cells
To evaluate the purity of cell types harvested by LCM, we captured
adjacent BS and mesophyll cells from sections of maize leaves, isolated
RNA, and analyzed it by reverse transcriptase (RT)-PCR for the presence
of C4-specific NADP-malic enzyme (NADP-ME) and ubiquitin RNA (Fig.
5). RNA for ubiquitin is
non-cell-specific and was used as a positive control
(Christensen et al., 1992 ). NADP-ME has been
demonstrated by in situ hybridization, preparative cell separations,
and reporter gene expression to be accumulated in BS cells, but not in
mesophyll cells, as a component of the C4 pathway (Sheen,
1999 ). Each of these methods has a limited ability to resolve
signals between adjacent cells because of the limits of cell separation
and probe detection methods. However, LCM has the potential to
absolutely resolve one cell type from the other, because individual
cells of one type or the other are removed from the tissue
context.

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Figure 5.
Specificity of RNA recovered from cells isolated
by LCM. In A and B, maize RNA samples were subjected to RT-PCR using
primers for ubiquitin (UBI, positive control) or NADP-ME, as described
in "Materials and Methods." A, Lane 1, Mesophyll cells (ME primers
[ML1415/1927L]; lane 2, BS cells (ME primers [same]); lane 3, water
(ME primers [same]); lane 4, 1-kb DNA ladder; lane 5, water (UBI
primers [MUBI1-5/MUBI1-6]); lane 6, mesophyll cells (UBI primers
[same]); lane 7, BS cells (UBI primers [same]). B, Lane 1, 100-bp
ladder; lanes 2, 4, and 6, BS cells; lane 3, 5, and 7, water; lanes 2 and 3, ME primers MEFOR/PMEL; lanes 4 and 5, ME primers 1350C/RTPMEL;
lanes 6 and 7, ME primers ML1415/1927L; and lane 8, 1-kb DNA ladder. C
represents RT-PCR reactions from Arabidopsis cells using primers for
actin8 (positive control) or carbonic anhydrase, chloroplastic
precursor (At3g01500, mesophyll-specific). C, Lane 1, 100-bp ladder
(the lowest band is 100 bp); lanes 2 and 3, RNA from stomatal cells;
lanes 4 and 5, RNA from pavement cells; and lanes 6 and 7, RNA from
mesophyll cells. Even lanes (2, 4, and 6) were amplified with primers
AACT8F and AACT8R, and odd lanes (3, 5, and 7) were amplified with
primers CACPF and CACPR. All panels are photos of single gels, from
which unloaded spacer lanes have been removed, without any other
realignment.
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We found that NADP-ME RNA was amplified only in the maize BS cell
sample, whereas ubiquitin RNA was amplified in both BS and mesophyll
cells (Fig. 5A). Three independent primer sets spanning intron regions
for the C4-specific NADP-ME, generating products of 613, 791, and 965 bp, were used to confirm that the RT-PCR products were from BS cell RNA
transcripts rather than from DNA (Fig. 5B). These included one set that
produced a 965-bp product, which is approximately one-half the size of
the spliced message. For these RNAs, approximately 50 to 150 harvested
cells were required to obtain the approximately 5 to 10 ng of RNA
needed for unambiguous RT-PCR signals from paraffin-embedded samples.
In another test, 5 to 10 ng isolated from approximately 50 to 150 harvested Arabidopsis leaf mesophyll, pavement, or guard cells gave
strong RT-PCR signals with primers for both actin2 and actin8, which
have been shown to be transcribed in most cells (Fig. 5C and data not
shown; An et al., 1996 ). In contrast, primers to the
carbonic anhydrase, chloroplastic precursor, which is mesophyll
specific in expression (Jacobson et al., 1975 ;
Brandt et al., 2002 ), produced the expected 292-bp
product only from RNA isolated from mesophyll cells (Fig. 5C).
For other cells and probes, the apparent cell specificity and
sensitivity will depend on the abundance of the RNA in the target cells. We easily measured the relatively abundant RNAs for aquaporin, CDC2, phosphoenolpyruvate carboxylase, malate
dehydrogenases, and actin in cells captured from Arabidopsis, maize,
and radish (data not shown). However, we found that individual low
abundance messages in small-cell samples can vary between positive and
negative RT-PCR signals. This stochastic behavior has been noted in a
variety of high-sensitivity studies of transcription in one or a few
cells, and it appears to be due to at least two biological phenomena. First, transcriptional regulation is generally not absolute. Genes judged by less sensitive methods to be transcriptionally inactive can
produce enough transcripts to be detectable by methods that greatly
amplify transcripts from few cells (Chelly et al., 1989 ; Sarkar and Sommer, 1989 ). Signals from such genes will
be detected stochastically, depending on the sensitivity and noise
level of the detection method. Second, populations of cells with
apparently uniform transcriptional behavior, such as a particular cell
type, are in fact made up of cells in a variety of transcriptional
states for which the population exhibits an average behavior
(Levsky and Singer, 2003 ). The smaller the sample from
that population, the more likely a deviation from average will be
captured at a particular gene. This probabilistic behavior of few cells
was recently observed among plant cells captured by micropipetting (Brandt et al., 2002 ). If it is necessary to work with
samples of very few cells (e.g. 25 or less from paraffin-sections), it is important to perform multiple replicates or to pool a substantial number of samples. These threshold issues should have less impact in
quantitative assays of transcript levels such as quantitative real
time-PCR and microarray hybridization.
Methodologies such as microarray analysis currently require microgram
amounts of a probe that uniformly represents the RNA population. LCM
from tens of cells provides nanogram or picogram amounts of RNA, and
therefore requires a high-efficiency linear amplification to produce
such probes. To evaluate the general quality of the small amounts of
RNA isolated from LCM-isolated cells, we subjected samples of RNA
corresponding to approximately 10 radish cortical parenchyma cells (2.5 ng of total RNA) to one or two rounds of linear amplification by T7
transcription of cDNA (Table I) and
separated the products by gel electrophoresis (data not shown). As
expected, the first round produced 36 ± 9 ng of RNA and the
second round produced 2.15 ± 0.51 µg of RNA. This is easily
enough RNA to serve as a microarray probe, because the amplified
product corresponds to mRNA only, whereas microarray probes are
generally labeled from total RNA. The resulting products were
distributed in a range of sizes from about 500 to larger than 2,500 bases, similar to the distribution generally observed in large scale
poly(A+) RNA preparations from most plant sources
(data not shown). Our own tests comparing amplified and unamplified
Arabidopsis RNA probes on Arabidopsis microarrays (L. Ma, X.-W. Deng,
T. Ceserani, and T. Nelson, unpublished data) confirmed the
manufacturer's quality control tests of the linearity of amplification
(our unamplified/amplified correlation coefficient = 0.92 for one
round, 0.87 for two rounds). This suggests that it is feasible to
harvest the required number of cells for microarray experiments
requiring microgram amounts of RNA, even for cell types with lower RNA
yields with the LCM method described here.
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Table I.
Linear amplification of mRNA from LCM-captured
cells
2.5 ng of total RNA from LCM-captured radish cortical parenchyma cells
was subjected to one or two rounds of amplification, as described in
"Materials and Methods." Data are averages of four independent
experiments.
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DISCUSSION |
LCM is a method applicable to plant tissues embedded in paraffin,
making feasible the analysis of DNA, RNA, and protein from cells
selected from microscope sections with an appearance familiar to most
plant biologists. This should provide a means of linking many
historical and ongoing studies of cellular relationships and roles to
comprehensive genomic and proteomic datasets.
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MATERIALS AND METHODS |
Tissue Preparation
Tissue samples were trimmed to 4 mm or less in thickness and
fixed 4 to 24 h (depending on thickness) at 4°C in at least 10 volumes of freshly prepared 3:1 ethanol:acetic acid (Farmer's fixative) or formalin-acetic acid-ethanol according to Ruzin
(1999) or in Prefer (Anatech, Ltd., Battle Creek, MI)
for 8 to 10 h at 4°C. Prefer is a cross-linking formalin-free
fixative. When needed, tissue in fixative was subjected to 15 min of
vacuum to assist sinking and infiltration. Fixed tissue was dehydrated
at room temperature in a graded series of ethanol (3 h each [v/v]
75%, 85%, 100%, 100%, and 100%), followed by an
ethanol:xylenes series (3 h each [v/v] 75%:25%, 50%:50%,
25%:75% 0%:100%, 0%:100%, and 0%:100%). Flakes of
Paraplast-X-Tra tissue embedding medium (Fisher Scientific, Fair Lawn,
NJ) were added to the final step. Once the flakes dissolved at room
temperature, liquefied Paraplast-X-Tra was added, and sample vials were
transferred to an oven at 58°C. The medium was replaced at 3- to 6-h
intervals until the odor of xylenes was absent. Samples were positioned
in Paraplast-X-Tra, and sections were cut on a rotary microtome
(Microtom HM310, Waldorf, Germany), floated in water on Probe-on
microscope slides at 42°C to stretch ribbons, air-dried, and stored
in darkness at 4°C under dehydrating conditions. For LCM, slides were
deparaffinized in xylenes for two changes of 5 min and
air-dried.
LCM
The Pix-Cell II LCM system was used to microdissect cells from
deparaffinized and dried tissue sections prepared as above. The laser
beam was adjusted to melt the thermoplastic film in a spot of a
diameter that visually corresponded to the diameter of the target cell.
Captures were performed using 7.5- or 15-µm beam diameters according
to cell size. Power settings were 50 or 40 mW, and laser pulse
durations were 650 µs and 2.5 ms, respectively. The success of
harvest was evaluated by comparison of the image of cells captured on
the cap versus the image of the tissue after removal of harvested
cells. In general, the targeted plant cells were precisely removed from
the section to the cap film, with nearly 100% efficiency, and without
visible contamination with other cells. If additional material adhered
to the harvested cells, they could be removed by blotting the
post-harvest film with a Post-It adhesive strip (3M, St. Paul). Only
cells immediately within the laser halo adhere to the thermoplastic
film, and other cells are removed onto the Post-It strips. This
treatment did not appear to influence the yield or quality of
subsequent RNA extractions.
RNA Extraction
For the TRIzol method, caps with captured cells were fitted to
0.5-mL Eppendorf tubes containing 300 µL of TRIzol reagent (Invitrogen), and the tubes were inverted and stored at 80°C or
extracted immediately. The samples were thawed if necessary and
incubated at room temperature for 5 min with intermittent vortexing.
The caps were removed, 60 µL of chloroform was added, and the tubes
were shaken for 15 s. After 3 min of incubation at room
temperature, the tubes were spun at 12,000g at 4°C for 15 min. The resulting upper phase was transferred to a new tube, and 20 µg of glycogen (Sigma-Aldrich, St. Louis) was added as a carrier
along with 150 µL of isopropanol. The tubes were mixed well and
incubated either for 10 min at room temperature or for 20 min at
80°C, and then spun at 12,000g at 4°C for 30 min.
The resulting pellet was washed with 75% (v/v) ethanol, and the
tubes were respun at 7,500g at 4°C for 5 min. After
removing the ethanol, the pellet was air-dried for 10 to 15 min at room
temperature. The RNA was resuspended in 10 µL of RNase-free water and
RNase inhibitor (RNAguard, Amersham Biosciences, Uppsala) was added to
a final concentration of 2 units µL 1. This method was
amenable to combining cells captured on several caps into a single
extraction. For the PicoPure kit (Arcturus Engineering) and the RNA
Miniprep and Nanoprep kits (Stratagene), we followed the
manufacturers' instructions.
DNase I Treatment
To eliminate DNA from aqueous RNA extractions, samples of
isolated nucleic acid were treated with 10 units of RNase-free DNase I
(Roche Diagnostics, Mannheim, Germany) in 50 mM Tris-HCl,
pH 7.5, 10 mM MgCl2, and 50 µg
mL 1 RNase-free bovine serum albumin for 30 min at 37°C.
RNA isolated by the PicoPure method was routinely treated with the
RNase-Free DNase Set kit (Qiagen USA) according to the manufacturer
while the samples were on the PicoPure column membrane, incubating for 15 min at room temperature before eluting the column.
RNA Quantification
RNA was measured fluorometrically on a microtiter plate reader
(Wallac 1420, PerkinElmer Wallac, Turku, Finland). Samples were
measured after 2 min and 5 min of incubation with the Ribogreen reagent
(Molecular Probes, Eugene, OR) in black microtiter plates, with 485 nm
excitation and 535 nm emission wavelengths, according to the manufacturer.
RT-PCR
RNA was reverse-transcribed using Sensiscript RT (Qiagen USA),
primed with 1 µM oligo(dT) (18-mer, Ambion, Austin, TX)
or 0.25 µM specific primer. PCR was performed with the
Readymix RedTaq PCR Reaction Mix (Sigma-Aldrich), with 1 pmol
µL 1 of specific primers. The PCR conditions were
adjusted based on the primers used. Primers were as follows.
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Ubiquitin primers
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MUBI1-5 (5'ggtggtatgcagatctttg3') and MUBI1-6 (5'gtagtctgctagggtgcg3')
for 182 bp product
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BS-specific ME primers
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MEFOR (5'caggttgttagcagcactcaag3') and PMEL (5'caatgcctctccagcagcacc3')
for 965 bp product; 1350C (5'cgctccaattgaagagtgcgcaag3') and RTPMEL
(5'cagggactataaacaacagagtac3') for 791 bp product; ML1415
(5'ggctcccttcagccattcaag3') and 1927L (5'cggtagacgggagtgtacatg3') for
613 bp product
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Actin8 primers(Laval et al., 2002 )
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AACT8F (5'ctaactaaagagacatcgtttcca3') and AACT8R
(5'gtttttatccgagtttgaagaggct3') for 250 bp product
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Carbonic anhydrase primers
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CACPF (5'gacttcatagaggactgggtc3') and CACPR
(5'aatgtagtatggtagccacatc3') for 292 bp product.
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RNA Amplification
A T7 polymerase-based linear amplification systems, RiboAmp
(Arcturus Engineering), was used according to the manufacturer. This
proprietary system relies on forming double-stranded cDNA, followed by
in vitro transcription by T7 polymerase. The manufacturer's quality
control tests include the testing of amplified and unamplified probes
on microarrays. The amplified probe signal matches the original RNA
source, with a correlation coefficient of 0.91; duplicate amplifications have a reproducibility of r = 0.99 (http://www.arcturus.com). This is consistent with our own tests of the
amplification system (see "Results"). Amplified RNA products were
measured by RiboGreen fluorescence, as described above, and were run on
a 1% (w/v) formaldehyde gel followed by staining in 1× SYBR
Gold gel stain (Molecular Probes) to estimate the range of product sizes.
 |
ACKNOWLEDGMENTS |
We thank Drs. Jens Sundström (Yale University) and Ashi
Malekafzali (Arcturus Engineering) for suggestions and helpful
discussions, and Dr. Neil McHale (Connecticut Agricultural Experiment
Station, New Haven) for the use of histological equipment.
 |
FOOTNOTES |
Received November 24, 2002; returned for revision December 3, 2002; accepted February 7, 2003.
1
This work was supported by the National Science
Foundation 2010 Program (grant no. IBN-0114648 to T.N.).
*
Corresponding author; e-mail timothy.nelson{at}yale.edu; fax
203-432-5632.
www.plantphysiol.org/cgi/doi/10.1104/pp.102.018127.
 |
LITERATURE CITED |
-
An YQ, McDowell JM, Huang S, McKinney EC, Chambliss S, Meagher RB
(1996)
Strong, constitutive expression of the Arabidopsis ACT2/ACT8 actin subclass in vegetative tissues.
Plant J
10: 107-121[CrossRef][ISI][Medline]
-
Asano T, Masumura T, Kusano H, Kikuchi S, Kurita A, Shimada H, Kadowaki K-I
(2002)
Construction of a specialized cDNA library from plant cells isolated by laser capture microdissection: toward comprehensive analysis of the genes expressed in the rice phloem.
Plant J
32: 401-408[CrossRef][ISI][Medline]
-
Banks RE, Dunn MJ, Forbes MA, Stanley A, Pappin D, Naven T, Gough M, Harnden P, Selby PJ
(1999)
The potential use of laser capture microdissection to selectively obtain distinct populations of cells for proteomic analysis: preliminary findings.
Electrophoresis
20: 689-700[CrossRef][ISI][Medline]
-
Brandt S, Kloska S, Altmann T, Kehr J
(2002)
Using array hybridization to monitor gene expression at the single cell level.
J Exp Bot
53: 2315-2323[Abstract/Free Full Text]
-
Chelly J, Concordet J-P, Kaplan J-C, Kahn A
(1989)
Illegitimate transcription: transcription of any gene in any cell type.
Proc Natl Acad Sci USA
86: 2617-2621[Abstract/Free Full Text]
-
Christensen AH, Sharrock RA, Quail PH
(1992)
Maize polyubiquitin genes: structure, thermal perturbation of expression and transcript splicing, and promoter activity following transfer to protoplasts by electroporation.
Plant Mol Biol
18: 675-689[CrossRef][ISI][Medline]
-
Emmert-Buck MR, Bonner RF, Smith PD, Chuaqui RF, Zhuang Z, Goldstein SR, Weiss RA, Liotta LA
(1996)
Laser capture microdissection.
Science
274: 998-1001[Abstract/Free Full Text]
-
Goldsworthy SM, Stockton PS, Trempus CS, Foley JF, Maronpot RR
(1999)
Effects of fixation on RNA extraction and amplification from laser capture microdissected tissue.
Mol Carcinog
25: 86-91[CrossRef][ISI][Medline]
-
Jacobson BS, Fong F, Heath RL
(1975)
Carbonic anhydrase of spinach: studies on its location, inhibition, and physiological function.
Plant Physiol
55: 468-474[Abstract/Free Full Text]
-
Jin L, Thompson CA, Zian X, Kuecker SJ, Kulig E, Lloyd R
(1999)
Analysis of anterior pituitary hormone mRNA expression in immunophenotypically characterized single cells after laser capture microdissection.
Lab Investig
79: 511-512[ISI][Medline]
-
Laval V, Koroleva OA, Murphy E, Lu C, Milner JJ, Hooks MA, Tomos AD
(2002)
Distribution of actin gene isoforms in the Arabidopsis leaf measured in microsamples from intact individual cells.
Planta
215: 287-292[CrossRef][ISI][Medline]
-
Levsky JM, Singer RH
(2003)
Gene expression and the myth of the average cell.
Trends Cell Biol
13: 4-6[CrossRef][ISI][Medline]
-
Luo L, Salunga SC, Guo H, Bittner A, Joy KC, Galindo JE, Xiao H, Rogers KE, Wan JS, Jackson MR, et al
(1999)
Gene expression profiles of laser-captured adjacent neuronal subtypes.
Nat Med
5: 117-122[CrossRef][ISI][Medline]
-
Mills JC, Roth KA, Cagan RL, Gordon JI
(2001)
DNA microarrays and beyond: completing the journey from tissue to cell.
Nat Cell Biol
3: E175-E178[CrossRef][ISI][Medline]
-
Ohyama H, Zhang X, Kohno Y, Alevizos I, Posner M, Wong DT, Todd R
(2000)
Laser capture microdissection-generated target sample for high-density oligonucleotide array hybridization.
Biotechniques
29: 530-536[ISI][Medline]
-
Roberts JP
(2002)
The cutting edge in laser microdissection.
Biophotonics Int
9: 50-53
-
Ruzin SE
(1999)
Plant Microtechnique and Microscopy. Oxford University Press, New York, pp 41
-
Sarkar G, Sommer SS
(1989)
Access to a messenger RNA sequence or its protein product is not limited by tissue or species specificity.
Science
244: 331-334[Abstract/Free Full Text]
-
Sheen J
(1999)
C4 gene expression.
Annu Rev Plant Physiol Plant Mol Biol
50: 187-217[CrossRef][ISI]
-
Simone NL, Bonner RF, Gillespie JW, Emmert-Buck MR, Liotta LA
(1998)
Laser-capture microdissection: opening the microscopic frontier to molecular analysis.
Trends Genet
14: 272-276[CrossRef][ISI][Medline]
-
Simone NL, Remaley AT, Charboneau L, Petricoin EF, Glickman JW, Emmert-Buck MR, Fleisher TA, Liotta LA
(2000)
Sensitive immunoassay of tissue cell proteins procured by laser capture microdissection.
Am J Pathol
156: 445-452[Abstract/Free Full Text]
-
Wong MH, Saam JR, Stappenbeck TS, Rexer CH, Gordon JI
(2000)
Genetic mosaic analysis based on Cre recombinase and navigated laser capture microdissection.
Proc Natl Acad Sci USA
97: 12601-12606[Abstract/Free Full Text]
© 2003 American Society of Plant Biologists
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