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Published in final edited form as:
J Neuroimmune Pharmacol. 2008 September ; 3(3): 173–186. doi:10.1007/s11481-008-9110-x.
HIV-1 infected astrocytes and the microglial proteome
Tong Wang1,2,5, Nan Gong1,2, Jianuo Liu1,2, Irena Kadiu1,2, Stephanie D Kraft-Terry1,2,
Joshua D Schlautman1,2, Pawel Ciborowski1,2, David J Volsky4, and Howard E
Gendelman1,2,3,*
1Center for Neurovirology and Neurodegenerative Disorders, University of Nebraska Medical Center,
Omaha, NE 68198-5880
2Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center,
Omaha, NE 68198-5880
3Internal Medicine, University of Nebraska Medical Center, Omaha, NE 68198-5880
4Molecular Virology Division, Columbia University Medical Center, New York, NY 10063
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5Institute for Tissue Transplantation and Immunology, Jinan University, Guangzhou, Guangdong, China
510630
Abstract
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The human immunodeficiency virus (HIV) invades the central nervous system early after viral
exposure but causes progressive cognitive, behavior, and motor impairments years later with the
onset of immune deficiency. Although in the brain, HIV preferentially replicates productively in cells
of mononuclear phagocyte (MP; blood borne macrophage and microglia), astrocytes also can be
infected, at low and variable frequency, particularly in patients with encephalitis. Among their many
functions, astrocytes network with microglia to provide the first line of defense against microbial
infection; however, very little is known about its consequences on MP. Here, we addressed this
question using co-culture systems of HIV infected mouse astrocytes and microglia. Pseudotyped
vesicular stomatis virus/HIV was used to circumvent absence of viral receptors and ensure cell
genotypic uniformity for studies of intercellular communication. The study demonstrated that
infected astrocytes show modest changes in protein elements as compared to uninfected cells. In
contrast, infected astrocytes induce robust changes in the proteome of HIV-1 infected microglia.
Accelerated cell death and redox proteins, amongst others, were produced in abundance. The
observations confirmed the potential of astrocytes to influence the neuropathogenesis of HIV-1
infection by specifically altering the neurotoxic potential of infected microglia and in this manner,
disease progression.
Keywords
astrocytes; microgial; human immunodeficiency virus; pseudotyped viral infection; proteomics; cell
mobility; neurotoxicity
*Correspondence and reprint requests to: Howard E. Gendelman M.D., Department of Pharmacology and Experimental Neuroscience,
University of Nebraska Medical Center, 985880 Nebraska Medical Center, Omaha, Nebraska 68198-5880, TEL: 402-559-8920, FAX:
402-559-3744, E-mail: hegendel@unmc.edu.
“The original publication is available at springerlink.com”
Wang et al.
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Introduction
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Human immunodeficiency virus-1 (HIV-1) associated neurocognitive disorder (HAND) is a
complication marked by cognitive, behavioral, and motor dysfunction that develops during the
later stages of AIDS (Janssen et al., 1992; Navia et al., 1998; Antinori et al., 2007). The
pathological hallmarks of HIV-1 associated dementia, the most severe form of HAND are
characterized by microglia cell activation, astrocytosis, decreased synaptic function, leukocyte
infiltration, multinucleated giant cells, and selective neuronal loss (Budka, 1991; Masliah et
al., 1992; Everall et al., 1993; Everall, 1995). Microglia/macrophages are the most commonly
infected cells in the brain and serve as lifelong hosts for HIV (Minagar et al., 2002; GonzalezScarano and Martin-Garcia, 2005; Kramer-Hammerle et al., 2005). Microglial HIV infection
and viral replication result in the secretion of neurotoxic pro-inflammatory cytokines,
chemokines, and viral proteins that strongly implicate microglia hyper-activation in the
progression of HAND (Gendelman et al., 1994; Stevenson and Gendelman, 1994; Strizki et
al., 1996; Conant et al., 1998; Gabuzda et al., 1998; Nath and Geiger, 1998; Ryan et al.,
2002).
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A second cellular target for HIV in the brain is the astrocyte (Conant et al., 1994; Brack-Werner,
1999; Canki et al., 2001). Astrocytes are the most abundant cell type in the brain (Schubert et
al., 2001) and perform many essential functions, such as maintenance of a homeostatic
environment and bidirectional communication with neurons (reviewed in: Fields and StevensGraham, 2002). Astrocytes also contribute to both the guidance and support of neuronal
migration during development and perform immune functions within the nervous system. This
includes affects on blood brain barrier (BBB) function (Vitkovic and da Cunha, 1995; Yoshioka
et al., 1995; Brack-Werner, 1999), control of extracellular glutamate, and regulation of
neuronal cell function and neural signaling (Benveniste, 1998; Bezzi and Volterra, 2001;
Danbolt, 2001; Fields and Stevens-Graham, 2002). It is clear that changes in any of these
functions by HIV could severely impair brain functions and contribute to viral
neuropathogenesis.
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The biology of HIV interaction with astrocytes differs significantly from the well-known
productive viral infection in T cells and macrophages. On one hand, astrocytes, which lack
surface CD4, can still bind gp120 and HIV particles throughout the entire cell population (Li
et al., 2007). On the other hand, the efficient virus binding leads to infection only in a small
fraction of cells in vitro and in vivo (Saito et al., 1994; Tornatore et al., 1994; Canki et al.,
2001; Trillo-Pazos et al., 2003). The inefficient infection of astrocytes by HIV has been recently
attributed to a block at virus entry and can be overcome through the use of a VSV-Gpseudotyped HIV or expression of exogenous surface CD4, which can lead to efficient viral
replication (Canki et al., 2001; Schweighardt and Atwood, 2001; Li et al., 2007). An increasing
body of evidence suggests that noninfectious binding of HIV/gp120 and infection in a fraction
of astrocytes can have profound effects on cell physiology and influence HAND. For example,
HIV or gp120 binding to astrocytes was shown to induce inhibition of glutamate transport by
the cells (Benos et al., 1994c; Benos et al., 1994a; Benos et al., 1994b; Wang et al., 2003),
cause broad dysregulation of cellular gene expression (Su et al., 2002; Wang et al., 2004), and
alone or as a consequence of neighboring macrophages/microglia induce cell activation with
production of cytokines and chemokines (Nebuloni et al., 2000; Yeung et al., 2005; Ronaldson
and Bendayan, 2006; Li et al., 2007). Disrupted glutamate transport by astrocytes can damage
neurons by excitotoxicity (Gegelashvili et al., 2000; Plachez et al., 2000; Plachez et al.,
2004) while excessive immune activation of the cells can contribute to the neuroinflammatory
environment in HIV infected brain.
We studied the effect of HIV infection on astrocyte biology (as contrasted to virus binding
alone) and in particular how this infection may affect the crosstalk between astrocytes and
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microglia that is essential for functional defenses against retroviral infection. Although infected
astrocytes constitute less than 1% of the total number of astrocytes in encephalitic brains
(Takahashi et al., 1996; Trillo-Pazos et al., 2003), astrocytes through their processes form
intercellular networks with tens or hundreds of proximal and distal cells (Bezzi and Volterra,
2001; Fields and Stevens-Graham, 2002). Thus, even low-frequency infection of astrocytes
could have significant deleterious effects on the cellular environment in the brain and contribute
to disease pathogenesis. To increase the frequency of infected astrocytes, we used a
pseudotyped vesicular stomatis virus/HIV (HIV-1/VSV) to circumvent the viral entry
restriction (Spector et al., 1990; Bencheikh et al., 1999; Canki et al., 2001; Nitkiewicz et al.,
2004; Dou et al., 2006; Gorantla et al., 2007). Previous studies with astrocytes infected by this
method employing either microarray gene expression profiling (Kim et al., 2004) or
biochemical methods (Cosenza-Nashat et al., 2006) revealed that uniform productive infection
of astrocytes by HIV affects cell cycle dependent pathways and cell proliferation. These works
indicated that HIV causes extensive changes in cellular gene expression, particularly in
pathways involved in cell cycle, profile as determined by Affymetrics oligonucleotide
microarray analysis (Kim et al., 2004). In the current study, we used murine astrocytes and
microglia to ensure genetic homogeneity and evaluated the effects of efficient HIV infection
on the cellular proteome and biological consequences of astrocyte-microglial crosstalk.
Infection of both cell types enabled a thorough analysis of the influence of astrocytes on
microglial functions that are linked to disease and viral replication. The results showed that
astrocytes serve to accelerate microglial neurotoxicity as well as affect viral growth and
compensatory regulatory pathways of the cell. These investigations provide novel insights into
the role of astrocytes in microglial functions and open new research directions for
neuropathogenesis and developmental therapeutics for HIV-1-mediated neurological disease.
Materials and Methods
Primary mouse microglia, astrocytes and neurons
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Fetuses (18-day-old) were harvested from anesthetized pregnant C57/BL6 mice, maintained
and bred in full compliance of the University of Nebraska Medical Center and the National
Institutes of Health ethical care and treatment of animals. Cerebral cortices were isolated and
digested using 0.25% trypsin (Invitrogen, Carlsbad, CA). Isolated neural cells were
differentiated into neurons, microglia (MCG), and astrocytes (AST) under different culture
conditions. For neuron differentiation, cells were seeded at a density of 1.2×105 cells/well on
poly-D-lysine coated cover slips, placed in 24-well plates, and cultured for 10 days in
neurobasal medium supplemented with 2% B27 (Invitrogen), penicillin/streptomycin, and 0.5
mM L-glutamine (all from Invitrogen). The expression of microtubule-associated protein-2
(MAP-2), a mature neuronal marker, and the lack of expression of glial fibrillary acidic protein
(GFAP, an astrocyte marker) determined cell purity. For microglia differentiation, the isolated
cells were cultured in DMEM supplemented with 10% fetal bovine serum (FBS), 2 mM Lglutamine, 1% penicillin/streptomycin, and 2 ug/ml macrophage colony stimulating factor
(MCSF) (a generous gift of Wyeth Inc., Cambridge, MA) for 7 days when microglial cells
were collected by shaking. For astrocyte differentiation, cortical isolates were cultured in
DMEM supplemented with F12 (Invitrogen), 10% FBS, 2 mM L-glutamine, and 1% penicillin/
streptomycin (Gorantla et al., 2007). After serial 3-time passage of the cells, the purity of the
astrocytes was > 85%.
Laboratory transwell culture systems
For single cell-type cultures, microglia were seeded at the concentration of 2×106 cells/well
in 6-well culture plates, and astrocytes were cultured at 1×106 cells/well. For multiple celltype co-cultures, we used cell culture inserts matched for 6-well culture plates (BD Falcon
353090). Microglia were seeded first in the 6-well culture plates at the concentration of
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2×106 cells/well and continuously cultured for 3 d, then astrocytes added to the track-etched
polyethylene terephthalate membrane inserts at 1×106cells/insert and both cell types placed
into the 6-well plates. Importantly, the media used in both single or co-cultures for experiments
were the 1:1 ratio mixture of microglial and astrocytes media (Wang et al, submitted). On day
3 after infection, half media was exchanged. On day 7 all the culture supernatants were
collected.
Viruses and viral infections
VSV pseudotyped HIV-1 strain YU2 (HIV-1/VSV) was used to circumvent the required viral/
cellular receptors necessary to infect mouse cells. all the cells were exposed to HIV-1/VSV at
1 pg HIV-1 p24/cell at same time for 24 h before a complete media exchange. Infected cells
were cultured for 7 days. Greater than 98% of microglia and astrocytes expressed HIV-1 p24
by day 7 after infection as determined by immunohistochemical assays (Canki et al., 2001).
TUNEL assays
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Apoptotic cells were determined by terminal deoxynucleotidyl transferase-mediated
biotinylated UTP nick end labeling (TUNEL) and were achieved using the In Situ Cell Death
Detection Kit, AP (Roche Applied Science, Indianapolis, IN) according to the manufacturer's
instructions. Briefly, neurons were fixed with 4% paraformaldehyde in phosphate buffered
saline [PBS (pH 7.4)] and permeabilized with 0.1% Triton-100 in 0.1% sodium citrate. Cells
were subsequently labeled with TUNEL working solution. Apoptotic cells were identified as
green fluorescent cells by fluorescence microscopy, counted, and normalized to the total
number cells as determined by 4′,6′-diamidino-2-phenylindole (DAPI) nuclear stain.
TUNEL+ cells were scored, and the percentage of apoptotic neurons to total DAPI+ neurons
were calculated.
Protein sample preparation
Cells were washed in PBS, harvested, and lysed in 200 μl cell lysis buffer pH 8.5 containing
7 M urea, 2 M thiourea, 4% 3-[(3-cholamidopropyl)-dimethylammonio]-1-propanesulfonate
(CHAPS) and 1× protease inhibitor cocktail (Biovision, Mountain View, CA). Cell lysates
were sonicated at 25 W for three 3-sec pulses with a Sonicator W-225 (Heat SystemsUltrasonics, Inc., Farmingdale, NY). To remove impurities and concentrate each sample, cell
lysates were treated with the 2D Clean Up Kit (GE Healthcare, Piscataway, NJ) according to
the manufacturer's instructions. To preclude possible interfering substances in the lysates,
protein concentrations were determined with the 2D Quant Kit (GE Healthcare) (RicardoDukelow et al., 2007).
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Difference gel electrophoresis (DiGE) 2D-Page and image analysis
Fifty micrograms of protein from uninfected and HIV-1 infected microglial lysates were each
labeled with 400 pmol of N-hydroxy-succinimidyl ester of Cy3 or 1-(5-carboxypentyl)-1methylindodi-carbocyanine halide (Cy5) dyes (CyDye Minimum Labeling kit, GE
Healthcare), respectively. Twenty-five micrograms of protein from uninfected and 25 μg from
HIV-1 infected microglia were mixed and labeled with 1-(5-caboxypentyl)-1propylindocarbocyanine halide (Cy2) to serve as an internal standard. The resulting pools of
proteins (Cy2-, Cy3-, and Cy5-labeled) were mixed with rehydration buffer (7 M urea, 2 M
thiourea, 2% CHAPS, 50 mM DTT, 1% Pharmalyte (pH 3–10NL) and applied to gel strips
with immobilized pH gradient (24 cm; pH 3–10 NL). For first dimension separation,
electrophoresis of gel strips was achieved in an IPGphor II apparatus (GE Healthcare) at 500
V for 1 h, 1000 V for 1 h, and 8000 V for 3 h. Electrophoresed strips were treated with
equilibration solution [6 M urea, 30% glycerol, 2% sodium dodecyl sulfate (SDS), 50 mM
Tris, pH 8.8] containing 100 mM DTT for 10 min. Equilibrated strips were alkylated with 100
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mM iodacetamide (Sigma) in equilibration solution for 10 min. Immediately after alkylation,
second dimension separation was achieved by electrophoresis through a 10-20% gradient
polyacrylamide gel at constant currents of 5 mA for the initial 30 min and 12 mA for 14 h.
Labeled proteins were visualized on a 2D Master Imager (GE Healthcare) at excitation
wavelengths of 488 nm, 520 nm, and 620 nm and emission wavelengths of 520 nm, 590 nm,
and 680 nm to detect Cy2-, Cy3-, and Cy5-labeled proteins, respectively. The relative amount
of protein was determined by digital quantification using DeCyder-DIA software (GE
Healthcare). Protein amounts exhibiting greater than 1.5-fold changes above or below relative
amounts after normalization were considered candidates for further analyses (RicardoDukelow et al., 2007).
Spot picks and in-gel tryptic digestion
Protein spots within 2 mm2 fragments were robotically picked from the gel using the Ettan™
Spot Picker (GE Healthcare) and destained for 1 h at room temperature using 100μl of 50%
acetonitrile (ACN)/50 mM NH4HCO3. Gel fragments were dried and incubated with 0.25%
trypsin/10 mM NH4HCO3 (Promega, Madison, WI) overnight at 37°C. Peptides were extracted
by washing gel pieces twice with 0.1% trifluroacetic acid (TFA) and 60% ACN (Ciborowski
et al., 2007).
Mass spectrometry
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All samples were purified using ZipTip® (Millipore, Sunnyvale, CA) prior to mass
spectrometric analysis. Peptide samples were resuspended in 0.1% formic acid/HPLC-grade
water and analyzed by liquid chromatography dual mass spectroscopy (LC/MS/MS, LCQ
DECA XPPlus, ThermoElectron, Inc. Waltham, MA) and Matrix-Assisted Laser Desorption/
Ionization Time of Flight (MALDI-TOF/TOF, ABI 4800, Applied Biosystems, Foster City,
CA). Proteins were identified from the NCBI database interfaced with BioWorks 3.1SR
software (ThermoElectron). Protein identifications scored greater than 3000 by the Unified
Score scale, and greater than 50% on ion score were considered for further analyses
(Ciborowski et al., 2007). For MALDI-TOF/TOF, peptide samples in 〈-cyano-4hydroxycinnamic acid (CHCA; Sigma-Aldrich) matrix were spotted on to Opti-TOF® 384 well
MALDI plate inserts (Applied Biosystems). The mass profile analyzed by the MALDI-TOF/
TOF mass spectrometer was searched in Mascot database assisted by GPS Explorer software
(Applied Biosystems) and only significant protein identifications (P<0.05) were considered
for further analyses.
Ingenuity pathway analysis
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A data set containing protein identifiers and corresponding expression values was uploaded
into the application Ingenuity Pathways Knowledge Base. Each protein identifier was mapped
to its corresponding gene in the database, and networks of these focused genes were
algorithmically generated based on their connectivity. The Functional Analysis module
identified the biological functions and/or diseases that were algorithmically significant to the
data set. The graphical representation of the molecular relationships between genes/gene
products was represented as nodes, and the biological relationship between two nodes is
represented as an edge (line). All edges are supported by at least one reference from the
literature, from a textbook, or from canonical information stored in the Ingenuity Pathways
Knowledge database (Ingenuity® Systems, www.ingenuity.com) (Liu et al., 2008).
Immunochemistry
Cells, adhered to cover slips, were fixed and permeabilized with acetone and methanol (ratio
1:1, at -20 °C) for 10 min, and nonspecific activity was blocked by incubation of fixed cells in
6% bovine serum albumin/phosphate buffered saline (BSA/PBS). Blocked samples were
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incubated with 250 ⌠1 of primary antibody that included mouse anti-NeuN (1/100; Chemicon,
Temecula, CA), rabbit anti-MAP-2 (1/1000; Chemicon), rabbit anti-tubulin-〈 (1:1000; Novus,
Littleton, CO), rabbit anti-Iba-1 (1:500, Wako, Richmond, VA), and mouse-anti-vimentin
(1:1000; Dako, Carpenteria, CA). F-actin was detected with rhodamine-conjugated phalloidin
(Invitrogen). Primary antibody treated cells were incubated with 250 ⌠1 of the appropriate
diluted goat anti-mouse or goat anti-rabbit Abs secondary antibodies (1:250; Invitrogen)
conjugated to Alexa-488 or Alexa-568. Cells were mounted using anti-fade Pro-Long Gold
mounting reagent (Invitrogen) and examined with a Zeiss LSM 510 META NLO microscope
(Zeiss MicroImaging, Inc., Thornwood, NY) (Gorantla et al., 2007).
Western blot assays
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For Western blots, 10-40 ⌠g of protein from each total cell lysate were separated on (sodium
dodecyl sulfate-polyacrylamide gel electrophoresis) SDS-PAGE and electrotransfered to
polyvinylidene fluoride (PVDF) membranes (Roche). Membranes were incubated overnight
at 4°C with primary antibodies including mouse anti-caldesmon (1:500; Cell signaling,
Danvers, MA), mouse anti-GFAP (1:500; Dako), rabbit anti-peroxiredoxin (1:1000; Abcam,
Cambridge, MA), rabbit galectin-3 (1:5000; Abcam), rabbit anti-enolase-〈 (1:1000; Santa
Cruz, Santa Cruz, CA), mouse anti-calmodulin (1:1000; Abcam), and mouse anti-HIV-1 p24
(1:500; Dako). Detection of reacted primary antibodies was achieved with horseradish
peroxidase (HRP)-conjugated goat anti-mouse IgG (1:10,000) or goat anti–rabbit IgG
(1:10,000), (Jackson Immunoresearch, West Grove, PA.) HRP activity was visualized by
enhanced chemiluminescence (Pierce, Rockford, IL) (Rozek et al., 2007).
Results
HIV-1 infected astrocyte-microglial neurotoxicity
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To assess the affects of HIV-1 infected astrocytes on neurotoxicity of infected microglia
secretions, we assessed the morphology and apoptotic state of mouse cortical neurons cultured
for 24 h in conditioned media (CM) from uninfected or infected microglia, astrocytes, or
microglia-astrocyte co-cultures. Neurons stained for expression of MAP-2 (green) and
neuronal nuclei (NeuN, red) demonstrated that >98% of the cells were indeed neurons (Fig.
1). We next evaluated percentages of apoptotic neurons (green) compared to total DAPI-stained
neuronal nuclei (blue). Neurons cultured in 20% CM from uninfected astrocytes, microglia, or
microglia-astrocyte co-cultures respectively showed 3.6%, 3.0%, and 3.9% apoptotic
(TUNEL+) neurons. In contrast, increased percentages of apoptotic neurons were observed
after culture in CM from infected astrocytes (9.5%) or microglia (21.8%) and were significantly
increased to 33.8% after culture in CM from infected microglia-astrocyte co-cultures compared
to CM from single cell types.
HIV-1 infected astrocytes modulate the virus-infected microglial proteome
To evaluate cellular changes in viral infected microglia and astrocytes, we compared the
proteomes from lysates of uninfected (green) and HIV-1/VSV infected (red) microglia or
astrocytes by 2D DiGE and digital image analyses. For astrocytes, a total of 1743 spots were
digitally detected (Fig. 2a). Lysates from infected astrocytes compared to uninfected controls
showed 9 (0.6%) up-regulated proteins, while 40 (2.5%) proteins were down-regulated. For
microglia, 2116 were detected, and 39 (1.9%) proteins were up-regulated, while 24 (1.2%)
spots were down-regulated (Fig. 2b).
We next assessed the effect of infected astrocytes on protein expression of HIV-1/VSV infected
microglia by analyzing the proteome from those microglia acquired after transwell co-culture
with infected astrocytes. Uninfected microglia co-cultured in astrocyte containing transwells
served as comparative controls for DiGE. From a total of 1974 proteins, we found that virusJ Neuroimmune Pharmacol. Author manuscript; available in PMC 2009 September 1.
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infected microglia co-cultured with infected astrocytes up-regulated 161 (8.3%) proteins and
down-regulated 87 (4.5%) proteins when compared to uninfected replicate cells (Fig 2C). This
represented a marked increase in the level of regulated proteins compared to levels obtained
with microglia or astrocytes separately cultured.
Protein identification and validation
From the 2D DiGE of astrocyte lysates (Fig. 2a), 49 protein spots were robotically picked and
analyzed by LC MS/MS. Twenty-one proteins were identified and functionally grouped as
structural, regulatory, or enzyme according to the description provided by the ExPASy
Proteomics Server Classification (http://ca.expasy.org/) (Table 1). Structural proteins, such as
vimentin, capping protein, and proliferating cell nuclear antigen (PCNA) were up-regulated
after viral infection, while the energy-associated protein, voltage-dependent anion-selective
channel protein 1 (VDAC-1) was down-regulated.
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From 220 proteins picked from DIGE of microglia co-cultured with infected astrocytes (Fig.
2c) and analyzed by LC/MS/MS, 29 proteins were identified (Table 2). The structural protein
fibronectin-1 (FN1), myristylated alanine-rich protein kinase C substrate (MARCKS), and
vimentin were up-regulated. After infection, redox and virus replication related proteins, such
as serine/threonine protein phosphatase 2A (PP2A or PPP4R2), caldesmon, ferritin, and
peroxiredoxin were up-regulated, whereas cell death associated enzymes proteins, such as
enolase-α, transketolase, glutamine synthetase, and lactate dehydrogenase B were downregulated. The relative expression of regulated proteins identified by mass spectrometry,
including, caldesmon, glial fibrillary acidic protein (GFAP), enolase-α, peroxiredoxin,
galectin-3, ferritin, and calmodulin were validated by Western blot analysis (Fig. 3). Results
from triplicate Western blot assays were consistent with DiGE and digital image analyses.
Ingenuity pathway analysis
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To examine the biological networks of microglial proteins affected by astrocytes and viral
infection, we uploaded the 29 regulated proteins (Table 2) and their corresponding relative
changes into the Ingenuity Pathway Analysis (IPA) database (Ingenuity® Systems,
www.ingenuity.com). Dynamic pathway modeling of these proteins/genes by IPA identified
interactions through cell death, DNA replication, recombination, and repair networks (Fig. 4).
The IPA network assay pointed out three proteins with changing trends related to p53 pathway.
They were nucleosome assembly protein 1-like 1 (NAP1L1), PPP4R2, and heat shock protein
70 (HSPA9) (Fig. 4). Modeling with the effect-on-function IPA module indicated that (a)
down-regulation of enolase-α is associated with increased activation of protein binding sites
and increased DNA replication; (b) up-regulation of NAP1L1 is associated with increased
activation of genes associated with DNA replication; and (c) up-regulation of peroxiredoxin 6
results in increased DNA degradation and metabolism.
HIV-1 p24 processing qualification
Reproductive HIV-1 infection requires virus DNA synthesis, recombination and replication;
pathways involving networks of DNA replication, recombination, and repair as demonstrated
by pathway modeling (IPA) to be altered by co-culture with infected astrocytes (Fig. 4). Thus,
we reasoned that astrocytes could affect HIV-1 replication in microglia. To assess this, we
harvested microglia (in plates) and astrocytes (in cell inserts) separately, and analyzed infected
microglia co-cultered in the presence of astrocytes by Western blot for intracellular HIV-1 p24
and its precursor, HIV-1 p55. Single culture microglia infected with HIV-1/VSV showed both
p55 and p24 bands and indicating a normal protein processing from p55 to p24 proteins
(Cordelier et al., 2003) (Fig. 5 lane a). The levels of the viral proteins p24 and p55 were
produced in abundance in microglia with/out coculture. Viral protein processing was markedly
affected by astrocytes (lane b and c). Co-culture with uninfected astrocytes showed a notable
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increase in p55 protein with a concomitant decrease in p24 (lane c), which is consistent with
inhibition of p55/p24 conversion. However, compared to uninfected astrocytes, co-culture in
the presence of infected astrocytes showed notable diminution of p55 with concomitant
increase in p24 (lane b) suggesting the reversion of the inhibited p55/p24 processing. Of
interest, HIV-1 infected astrocytes cultured alone showed HIV-1 p55, p41, and p24 cleavage
products (lane d).
Discussion
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In a previous report, we demonstrated that astrocytes attenuate HIV-1/VSV infected microglial
neurotoxic activities (Wang et al., submitted). Currently, we extended our prior analyses by
using proteomic approaches to investigate profiles associated with intercellular interactions of
viral-infected astrocytes and microglia. Surprisingly once infected, the ability of astrocytes to
modulate the microglial phenotype was changed dramatically from beneficial to destructive.
We now demonstrate that HIV-1 infected astrocytes enhance the neurotoxicity caused by
HIV-1 infected microglia. The proteome of HIV-1-infected microglia was changed by virusinfected astrocytes, particularly in networks associated with cell death and DNA replication,
recombination, and repair. Crosstalk with HIV-1 infected astrocytes enhanced HIV-1 p24
processing in virus-infected microglia. Alteration of the proteome and HIV-1 p24 processing
in microglia resulted in augmentation of neurotoxicity. Negative outcomes of HIV-1 infected
microglia induced by infected astrocytes represents an important mechanism for the onset of
neurodegeneration related to the dynamics of permissive and productive HIV-1 infected
astrocytes within the CNS.
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Permissive infection of astrocytes by HIV has been reported and is based on CD4-independent
mechanisms, including viral entry induced by chemokine (C-C motif) receptor 5 (CCR5),
CXCR4 (Reeves et al., 1999), DC-specific ICAM-3-grabbing nonintegrin (DC-SIGN) (Deiva
et al., 2006), and human mannose receptor (Liu et al., 2004; Lopez-Herrera et al., 2005).
Astrocytes suffer dysregulation by neighboring cells leading to viral transmission and
productive replication in adjoining microglia, which contribute to neuropathogensis.
Meantime, astrocytes are exposed continuously to HIV-1 particles, viral proteins (such as Nef
and Tat), cytokines, and neurotoxic substances secreted by HIV-1 infected microglia or
macrophages (Lipton, 1994; Vesce et al., 1997; Brenneman et al., 2000; Krebs et al., 2000;
Dou et al., 2006; Jayadev et al., 2007). In this study, we employed VSV pseudotyped M-tropical
HIV-1 YU2 strain to circumvent astrocytic receptor restrictions and trigger the intracellular
entry of virus RNA. We demonstrated that HIV-1/VSV infected astrocytes accelerated and
enhanced HIV-1/VSV infected microglia to express HIV-1 p55 and p24. Similar reports from
other independent groups indicate astrocytes, lymphocytes, and macrophages are susceptible
to productive infection by VSV pseudotyped HIV-1 NL4 strain as assessed by detection of
p24, Tat, viral protease-mediated processing of Gag, appropriately spliced viral RNA, and
infectious progeny virus (Canki et al., 2001; Nitkiewicz et al., 2004).
More importantly, proteomic analysis clearly showed that HIV-1 infected astrocytes
dramatically affected proteomic profiles of HIV-1 infected microglial compared with infected
microglia cultured alone. Most of the differentially expressed proteins were mainly related to
microglial activation and cytoskeletal changes including calponin, vimentin, GFAP, heat shock
protein (HSP)-70, HSP-40, PP2A, caldesom, and MARCKS. Calpronin and caldesom are
regulatory proteins, which function in the induction of actin polymerization and
depolymeriztion, and maintain cytoskeletal stability during hypertrophy (el-Mezgueldi,
1996; Huber, 1997), while caldesom prevents actin reorganization (Castellino et al., 1995). In
this study, calponin and caldesom expression were enhanced in both infected microglia and
astrocytes and have been shown to block actin reorganization, induce actin aggregation, and
destabilize cytoskeletal integrity (Winder et al., 1993; Lu et al., 1995; Koganehira et al.,
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2003; Takiguchi and Matsumura, 2005; Perez-Montiel et al., 2006). Additionally, interaction
of HIV-infected astrocytes markedly enhanced expression of structural proteins, vimentin and
GFAP, by HIV-1 infected microglia, which have been shown to inhibit neurotrophin secretion
(Schwartz and Mishler, 1990) and down-regulate production of TNF-〈 (Hetier et al., 1991).
Moreover, up-regulation of FN1 and MARCKS, as demonstrated in these studies by the
intercellular interactions of infected astrocytes on microglia, are closely related to increased
morphogenesis of cells, formation of cell filaments, and outgrowth of plasma membrane
projections (Wiederkehr et al., 1997; Xie et al., 1998; Eliasson et al., 1999). One group of
protein changes related to immunological disorders was associated with up-regulation of
caldesmon (Scaife et al., 2004), glutamine synthetase (Nakamura et al., 2006), lactate
dehydrogenase B (Zheng et al., 2001; Nakamura et al., 2006), peroxiredoxin 6 (Fajardo et al.,
2004; Jin et al., 2005), transketolase (Fajardo et al., 2004), and vimentin (Nakamura et al.,
2006), with concomitant down-regulation of enolase (Fajardo et al., 2004; Nakamura et al.,
2006). Taken together, these findings suggest that HIV-1 infected microglia exhibit an
enhanced activated phenotype upon interaction with HIV-1 infected astrocytes, which may
serve as one mechanism by which HIV-1 microglia and macrophages exert and augment
neurotoxicity during HIV-1 infection of the CNS and HAND.
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In this study, proteomic analysis and pathway modeling of HIV-1 infected microglia cocultured with HIV-1 infected astrocytes, supported the involvement of DNA replication,
recombination, and repair networks including tumor protein p53 (p53), a transcription factor
regulating cell cycle and apoptosis. Three cell-signaling proteins, PPP4R2, HSPA9, and
NAP1L1, were observed which interact with p53 and were up-regulated by astrocyte
interactions with infected microglia. Among them, PPP4R2 up-regulation is associated with
p53 activation (Harris and Levine, 2005), which in turn down-regulates p53 expression by
dephosphorylation to suppress apoptosis (Kong et al., 2004; Arroyo and Hahn, 2005; Shouse
et al., 2008). HSPA9 is a mediator of p53 and plays important roles for p53 transcriptional
activity (Agoff et al., 1993; Tsutsumi-Ishii et al., 1995; Fourie et al., 1997; Zylicz et al.,
2001). NAP1L1 is known to directly interact with p53 and activate binding of sequence-specific
DNA binding proteins, which may be an important step contributing to the activation of p53
transcription (Rehtanz et al., 2004). These findings suggest that increased PPP4R2, HSPA9
and NAP1L1 proteins regulate neuronal apoptosis and viral DNA replication through a p53mediated mechanism that is regulated by intercellular communication between infected
astrocytes and microglia. That p53 may regulate viral replication is supported by interactions
of p53 and HIV-1 proteins (Garden and Morrison, 2005). We reported here that supernatant
collected from HIV infected astrocytes-microglia co-cultures enhance neuronal death. This
would be consistent with the possibility that supernatants activate p53 signaling pathway and
accelerate neuronal apoptosis. First evidence supporting this first includes p53 involvment in
HIV-1 gp120 induction of microglia, astrocyte, and neuron apoptosis, and the activation of
p53 mediated pathways in the glia of HAND patients. This may contribute to the
neuroinflammatory processes that promote neurodegeneration by inhibiting glial proliferation
and/or promoting glial cell dysfunction (Jayadev et al., 2007). Second, HIV-1 viral protein R
(Vpr) cooperates with p53 in regulating viral gene transcription (Sawaya et al., 1998; Jayadev
et al., 2007). Third, crosstalk between HIV-1 Tat and p53 has been linked with cellular
transformation by HIV-1 infection or activation of HIV-1 replication (Li et al., 1995; Ariumi
et al., 2001; Ryu et al., 2004). Interestingly, we demonstrated calmodulin and ferritin were
down-regulated in HIV-1 infected microglia co-cultured with infected astrocytes. Calmodulin
is reported to directly bind with HIV-1 Nef and regulate virus replication (Brigino et al.,
1997; Fackler et al., 1999; Hayashi et al., 2002; Lehmann et al., 2006). Viruses with life cycles
involving a DNA phase require chelatable iron for optimum replication, and ferritin is involved
in the control of cell growth and DNA synthesis; its downregulation may be implicated in cell
toxicity and DNA abnormalities that accompany HIV infection (Ameglio et al., 1993; Savarino
et al., 1999). Hori et al. reported that human astrocytes have the capacity to increase or decrease
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Wang et al.
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HIV-1 expression in monocyte-derived macrophages. Thus, imbalance between the positive
and negative effects of astrocytes on infected microglia or macrophages may contribute viral
expression and production in the brain and the development of HAND (Hori et al., 1999). This
is consistent with findings in this study, which demonstrated reduced HIV-1 p24 expression
by HIV-1 infected microglia that are co-cultured with uninfected astrocyte and reversal of p24
diminution expression in microglia cultured with HIV-1 infected astrocytes.
In conclusion, we have demonstrated for the first time that HIV-1 infected astrocytes increase
the neurotoxicity of HIV-1 infected microglia, which is related to heightened phenotypic levels
of microglial activation and alteration of networks associated with HIV-1 p55 expression,
processing, and p24 virion maturation. Our findings suggest that the dynamics of permissive
and productive HIV-1 infection in microglia is regulated by intercellular interactions with
infected astrocytes, and provide an important switch mechanism for onset of HIV-1 related
neuroinflammation and neurodegeneration.
Acknowledgements
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We thank Dr. Ron Cerny, Nebraska Center for Mass Spectrometry, University of Nebraska-Lincoln, for his support
for LC/MS/MS protein identification. We thank James Talaska and Janice Taylor of the Confocal Laser Scanning
Microscope Core Facility at the University of Nebraska Medical Center (UNMC) for providing assistance with
confocal microscopy, and Dr. R. Lee Mosley and Robin Taylor at UNMC for outstanding editorial support and critical
reading of the manuscript. This work was supported by the Frances and Louis Blumkin Foundation, the Community
Neuroscience Pride of Nebraska Research Initiative, the Alan Baer Charitable Trust, and National Institutes of Health
grants 5P01NS31492 and DA17618 (to D.J.V.) and 2R37 NS36126, 2R01 NS034239, P20RR15635, U54NS43011,
P01MH64570, and P01 NS43985 (to H.E.G.)
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Fig. 1. Neurotoxic activities of culture fluids from HIV-1/VSV infected astrocytes, microglia and
microglia-astrocyte co-cultures
Mouse cortical neurons were cultured for 24 h with 20% CM from uninfected (-) or HIV-1/
VSV infected (+) astrocytes (AST), microglial (MCG), or microglia-astrocyte co-cultures
(MCG-AST). Neurons were immunostained for expression of MAP-2 (green) and NeuN (red)
(upper row). From serial sections, total nuclei were stained with DAPI (blue) (middle row) or
by TUNEL (green) (bottom row). Percentages of apoptotic neurons were calculated from the
numbers of TUNEL+ (green) neurons to DAPI+ (blue) cells, and are depicted as a mean
percentage ± SEM for n = 3 experiments with 3 replicates/experiment. Differences in means
were determined by one-way ANOVA analysis and Tukey's multiple post-hoc comparison.
Note: *When performing HIV-1 infection in MCG+AST co-cultivation group, both cell types
were infected. Bars for MAP-2/NeuN, 20μm; original magnification, ×63. Bars for DAPI and
TUNEL, 50μm, original magnification, ×40.
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Fig. 2. 2D-DIGE analyses of lysates from astrocytes, microglia and microglia-astrocyte co-cultures
Cell lysates from uninfected (Cy-3 labeled, green) and HIV-1-infected (Cy-5 labeled, red) were
assessed by isoelectric focusing (1st dimension) and reducing PAGE through a 10%-20% gel
(2nd dimension). Protein separations of cell lysates obtained by 2D-DIGE gels are shown for
separately cultured astrocytes (a), microglia (b), and microglia-astrocyte co-cultures (c).
Proteins were quantitated for each DIGE gel by digital image analysis by DeCyder™ 6.5
software, which compared proteins from uninfected controls (green) and infected cells (red).
Thus proteins exhibiting no changes appear yellow, while fluorescence for down-regulated
proteins are green and up-regulated proteins are red with the fluorescence levels depending on
each protein's relative abundance. Histograms (right panels) of each DIGE gel demonstrate the
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Wang et al.
Page 18
distribution as a function of relative concentration for increased (red), decreased (green), and
similar (yellow) protein spots, as well as a detection summary.
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Fig. 3. Validation of differential expression of proteins selected from 2D-DIGE of HIV-1/VSV
infected microglia from microglia-astrocyte co-cultures
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Lysates of uninfected (-) and HIV-1/VSV infected (+) microglia co-cultured with infected
astrocytes were electrophoresed and transferred to PVDF membranes. Based on differential
expression by digital image analysis and identification by LC/MS/MS (Table 2), selected
proteins were stained for analysis by Western blot and included caldesmon (1), GFAP (2),
enolase-α (3), peroxiredoxin (4), galetin-3 (5), ferritin (6) and calmodulin (7). Digital image
analysis of each protein spot and software (DeCyder) interpretation are compared for
uninfected (left) and infected (right) microglia for each of the 7 proteins. Corresponding
Western blots for each protein is indicated under each DeCyder paired images.
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Fig. 4. Ingenuity Pathway Analysis (IPA)
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Proteins from infected microglia co-cultured with astrocytes, separated by DIGE and identified
by LC/MS/MS (Table 2) were analyzed by dynamic pathway modeling. The pathways showed
significant correlations with networks associated with cell death and DNA replication,
recombination and repair. Line types show the interactions between proteins: Lines with arrows
stand for direct acting and lines without arrows represent protein binding only. Solid lines show
direct interactions, while broken lines indicate indirect interactions. Shapes and colors
represent functional classification nodes. Functions are indicated by shapes: diamonds for
enzymes, squares for cytokines, rectangles for ligand-dependant nuclear factors, triangles for
kinases, ovals for transcription regulators, trapezoids for transporters, and circles for
miscellaneous interactions. Nodes of red color represent microglial proteins, which are upregulated upon HIV-1 infection, while green nodes represent down-regulated proteins. Nodes
without color represent proteins not input by user, but interpreted by the database as high
probable interactions within the network. The abbreviations for the up- and down-regulated
proteins are: (Red) CKB, creatine kinase B; GLUL: glutamine synthetase; GM2A, GM2
ganglioside activator protein; HSPA9, HSP70 protein (heat shock 70 kDa protein 9); LDHB,
L-lactate dehydrogenase B chain; NAP1L1, nucleosome assembly protein 1-like 1; PPP4R2,
protein phosphatase 4 regulatory subunit 2; PRDX6, peroxiredoxin 6; TKT, transketolase.
(Green) CNBP, cellular nucleic-acid binding protein; ENO1, enolase-alpha; FTL1, ferritin
light chain 1; PKM2, pyruvate kinase isozyme M2; RPLP2, 60S acidic ribosomal protein P2.
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Fig. 5. HIV-1 p24 protein processing
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Lysates from uninfected or HIV-1/VSV infected microglia (MCG) cultured with uninfected
or infected astrocytes (AST) in transwells were evaluated by Western blot analysis with antip24 antibody for expression of the HIV-1 Gag precursor protein, p55 and its p41 and p24
cleavage products. Lanes were loaded with lysates from (a) HIV-1 infected microglia cultured
separately; (b) infected microglia co-cultured with infected astrocytes; (c) infected microglia
co-cultured with uninfected astrocytes; and (d) infected astrocytes cultured separately. Gag
proteins are not detected in lanes loaded with lysates from uninfected cells. Blots were stripped
and stained for expression of glyceraldehyde-3-phosphate dehydrogenase (GAPDH) which
served as sample loading control. Western blot presented is representative from triplicate
determinations.
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Table 1
HIV-1/VSV infected astroctye proteome
Up-regulated
Structural
J Neuroimmune Pharmacol. Author manuscript; available in PMC 2009 September 1.
Regulatory
Enzymes
Down-regulated
Structural
Regulatory
Enzymes
Swissprot Access No.
Fold changea
Mass kDa
pIb
Peptidesc
40S ribosomal protein SA
Acidic ribosomal phosphoprotein P0
Vimentin
Proliferating cell nuclear antigen
Tropomyosin-1 alpha chain
Capping protein
Gelsolin
Calponin-2
Endoplasmic reticulum protein ERp29
[Precursor]
6-phosphogluconolactonase
P14206
Q5FWB6
P20152
P17918
P58771
O82631
P13020
Q08093
P57759
1.9
1.5
1.6
1.5
1.5
2.1
1.3
1.5
2.7
32.7
34.2
51.5
28.7
32.7
31.4
85.9
28.7
28.8
4.74
5.91
5.06
4.66
4.69
4.58
5.83
7.53
5.90
3
3
2
2
3
3
6
3
5
Q9CQ60
1.9
27.3
5.55
7
Filamin-B
Dynactin 2
Heat shock 70 kDa protein 4
Heat shock 47kDa protein
Prohibitin
14-3-3 zeta
Voltage-dependent anion-selective channel
protein 1 (VDAC-1)
Transitional endoplasmic reticulum ATPase
Proteasome 26S non-ATPase subunit 9
NADH dehydrogenase (ubiquinone)
flavoprotein 2
Phosphatidylethanolamine binding protein 1
Q80X90
Q99KJ8
Q61316
Q5U4D0
P67778
P63101
Q60932
1.6
2.5
1.5
1.9
1.7
1.9
2.8
277.7
44.1
94.1
46.5
29.8
27.7
32.3
5.44
5.14
5.15
8.88
5.57
4.73
8.55
2
2
4
5
5
3
3
Q01853
Q9CR00
Q8K2L0
1.7
2.4
1.7
89.3
24.7
27.3
5.14
6.00
7.00
2
4
2
P70296
1.5
20.8
Protein Name
Wang et al.
Regulation and
Protein Class
2
a
Compared with uninfected astrocytes.
b
Theoretical isoelectric point calculated by Swissprot database at http://ca.expasy.org/sprot/.
c
Number of peptides detected by mass spectrometry for each identified protein.
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Table 2
HIV-1/VSV infected astrocytes affect the HIV-1/VSV infected microglial proteome
Up-regulated
Structural
J Neuroimmune Pharmacol. Author manuscript; available in PMC 2009 September 1.
Regulatory
Enzymes
Down-regulated
Structural
Regulatory
Enzymes
Swissprot Access No.
Fold changea
Mass Da
pIb
Peptidesc
Fibronectin 1
Lamin A
Vimentin.
Tubulin alpha chain
Glial fibrillary acidic protein
Caldesmon 1
MARCKS (myristylated alanine-rich protein
kinase C substrate)
HSP70 protein, mitochondrial [Precursor]
Galectin-3
Nucleosome assembly protein 1-like 1
Mitochondrial fission 1 protein
GM2 ganglioside activator protein
Protein phosphatase, regulatory subunit 2
Serine/threonine-protein phosphatase 2A 65 kDa
regulatory subunit A alpha isoform (PP2A)
Creatine kinase (EC 2.7.3.2) B
Glutamine synthetase
Transketolase
L-lactate dehydrogenase B chain
Glutathione S-transferase Mu 1
Dihydropyrimidinase-like 3
Peroxiredoxin 6
Q3UZF9
Q3U733
P20152
P68369
P03995
Q8VCQ8
P26645
1.8
2.2
2.5
2.5
2.0
1.9
2.3
115822
72427
53524
50104
49878
60417
29644
5.54
6.54
5.06
4.94
5.36
6.98
4.34
2
5
5
5
44
8
15
P38647
P16110
P28656
Q9CQ92
Q5F1Z8
Q4G0D4
Q76MZ3
1.8
1.5
2.5
4.2
1.6
2.6
2.5
73483
27366
47332
16998
20811
46261
65150
5.91
8.47
4.63
8.56
5.63
4.53
5
32
14
2
4
3
5
4
Q04447
Q91VC6
Q3UK62
P16125
A2AE89
Q3TT92
Q6GT24
2.2
2.1
1.6
2.1
1.5
2.2
1.6
42713
42092
67489
36418
25822
61741
24811
5.4
6.64
6.97
5.64
8.33
6.04
5.98
23
11
10
22
17
11
18
F-actin capping protein beta subunit (CapZ beta)
60S acidic ribosomal protein P2
Probable protein BRICK1
Calmodulin
Ferritin light chain 1
Cellular nucleic acid-binding protein
Enolase-alpha
Pyruvate kinase isozyme M2
P47757
Q3TKY3
Q3TLB8
P62204
P29391
P53996
P17182
P52480
2.2
3.4
1.6
2.7
1.8
1.7
2.1
1.7
31195
11644
8813
16838
20802
19591
47140
57719
5.47
4.42
5.09
4.09
5.66
8
6.37
7.42
2
6
2
7
6
2
6
3
Protein Name
Wang et al.
Regulation and
Protein Class
a
Compared with uninfected microglia.
b
Theoretical isoelectric point calculated by Swissprot database at http://ca.expasy.org/sprot/.
c
Number of peptides detected by mass spectrometry for each identified protein.
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