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Brief Report
Zika Virus Infects Human Cortical Neural Progenitorsand Attenuates Their Growth
Graphical Abstract
Highlights
d Zika virus (ZIKV) infects human embryonic cortical neural
progenitor cells (hNPCs)
d ZIKV-infected hNPCs produce infectious ZIKV particles
d ZIKV infection leads to increased cell death of hNPCs
d ZIKV infection dysregulates cell cycle and transcription in
hNPCs
Authors
Hengli Tang, Christy Hammack,
Sarah C. Ogden, ..., Peng Jin,
Hongjun Song, Guo-li Ming
Correspondence
tang@bio.fsu.edu(H.T.),
shongju1@jhmi.edu(H.S.),
gming1@jhmi.edu(G.-l.M.)
In BriefThe suspected link between ZIKV
infection and microcephaly is an urgent
global health concern. Tang et al. report
that ZIKV virus directly infects human
cortical neural progenitor cells with high
efficiency, resulting in stunted growth of
this cell population and transcriptional
dysregulation.
Accession Numbers
GSE78711
Tang et al., 2016, Cell Stem Cell 18, 14June 2, 2016 2016 Elsevier Inc.
http://dx.doi.org/10.1016/j.stem.2016.02.016
mailto:tang@bio.fsu.edumailto:shongju1@jhmi.edumailto:gming1@jhmi.eduhttp://dx.doi.org/10.1016/j.stem.2016.02.016http://dx.doi.org/10.1016/j.stem.2016.02.016mailto:gming1@jhmi.edumailto:shongju1@jhmi.edumailto:tang@bio.fsu.edu -
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Cell Stem Cell
Brief Report
Zika Virus Infects Human Cortical NeuralProgenitors and Attenuates Their Growth
Hengli Tang,1,11,*Christy Hammack,1,11 Sarah C. Ogden,1,11 Zhexing Wen,2,3,11 Xuyu Qian,2,4,11 Yujing Li,9 Bing Yao,9
Jaehoon Shin,2,5 Feiran Zhang,9 Emily M. Lee,1 Kimberly M. Christian,2,3 Ruth A. Didier,10 Peng Jin,9
Hongjun Song,2,3,5,6,7,*and Guo-li Ming2,3,5,6,7,8,*1Department of Biological Science, Florida State University, Tallahassee, FL 32306, USA2Institute for Cell Engineering3Department of Neurology4Biomedical Engineering Graduate Program5Cellular and Molecular Medicine Graduate Program6Solomon Snyder Department of Neuroscience7Kavli Neuroscience Discovery Institute8Department of Psychiatry and Behavioral Sciences
Johns Hopkins University School of Medicine, Baltimore, MD 21025, USA9Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA10College of Medicine, Florida State University, Tallahassee, FL 32306, USA11
Co-first author*Correspondence: tang@bio.fsu.edu(H.T.),shongju1@jhmi.edu(H.S.), gming1@jhmi.edu(G.-l.M.)
http://dx.doi.org/10.1016/j.stem.2016.02.016
SUMMARY
The suspected link between infection by Zika virus
(ZIKV), a re-emerging flavivirus, and microcephaly
is an urgent global health concern. The direct target
cells of ZIKV in the developing human fetus are not
clear. Here we show that a strain of the ZIKV,
MR766, serially passaged in monkey and mosquito
cells efficiently infects human neural progenitor cells(hNPCs) derived from induced pluripotent stem cells.
Infected hNPCs further release infectious ZIKV parti-
cles. Importantly, ZIKV infection increases cell death
and dysregulates cell-cycle progression, resulting in
attenuated hNPC growth. Global gene expression
analysis of infected hNPCs reveals transcriptional
dysregulation, notably of cell-cycle-related path-
ways. Our results identify hNPCs as a direct ZIKV
target. In addition, we establish a tractable experi-
mental model system to investigate the impact and
mechanism of ZIKV on human brain development
and provide a platform to screen therapeutic com-
pounds.
Zika virus (ZIKV), a mosquito-borne flavivirus, is now reported to
be circulating in 26 countries and territories in Latin America and
the Caribbean (Petersen et al., 2016). While infected individuals
can often be asymptomatic or have only mild symptoms, of
mounting concern are reports linking ZIKV infection to fetal
and newborn microcephaly and serious neurological complica-
tions, such as Guillain-Barresyndrome (Petersen et al., 2016).
The World Health Organization declared a Public Health Emer-
gency of International Concern on February 1 of 2016 (Heymann
et al., 2016). ZIKV infects human skin cells, consistent with its
major transmission route (Hamel et al., 2015). ZIKV was detected
in the amniotic fluid of two pregnant women whose fetuses had
been diagnosed with microcephaly (Calvetet al., 2016), suggest-
ing that ZIKV can cross the placental barrier. ZIKV was also
found in microcephalic fetal brain tissue (Mlakar et al., 2016).
Because so little is known about direct cell targets and mecha-
nisms of ZIKV, and because access to fetal human brain tissue
is limited, there is an urgent need to develop a new strategy to
determine whether there is a causal relationship between ZIKV
infection and microcephaly. Here we used human induced
pluripotent stem cells (hiPSCs) as an in vitro model to investigate
whether ZIKV directly infects human neural cells and the nature
of its impact.
We obtained a ZIKV stock from the infected rhesus Macaca
cell line LLC-MK2. We passaged the virus in the mosquito C6/
C36 cell line and titered collected ZIKV on Vero cells, an inter-
feron-deficient monkey cell line commonly used to titer viruses.
Sequences of multiple RT-PCR fragments generated from
this stock (Figure S1A) matched the sequence of MR766, the
original ZIKV strain that likely passed from an infected rhesus
monkey to mosquitos (Dick et al., 1952). We first tested several
human cell lines and found varying levels of susceptibility to
ZIKV infection (Table S1). Notably, the human embryonic kidneycell line HEK293T showed low permissiveness for ZIKV infection
(Figure S1C).
To identify direct target cells of ZIKV in the human neural line-
age, we used a highly efficient protocol to differentiate hiPSCs
into forebrain-specific human neural progenitor cells (hNPCs),
which can be further differentiated into cortical neurons (Wen
et al., 2014). The titer of ZIKV in the infected humans is currently
unknown. We performed infections at a low multiplicity of infec-
tion (MOI < 0.1) and the medium containing virus inoculum was
removed after a 2 hr incubation period. Infection rates were
then quantified 56 hr later with RT-PCR using MR766-specific
primers (Figure S1A) and with immunocytochemistry using an
anti-ZIKV envelope antibody (Figures 1A and 1B). The hNPCs
Cell Stem Cell 18, 14, June 2, 2016 2016 Elsevier Inc. 1
Please cite this article in press as: Tang et al., Zika Virus Infects Human Cortical Neural Progenitors and Attenuates Their Growth, Cell Stem Cell (2016),
http://dx.doi.org/10.1016/j.stem.2016.02.016
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were readily infected by ZIKV in vitro, with the infection
spreading to 65%90% of the cells within 3 days of inoculation
(Figures 1A and 1C). Quantitative analysis showed similar results
for hNPCs derived from hiPSC lines of two different subjects
(Figure 1C). As a control, we also exposed human embryonic
stem cells (hESCs), hiPSCs, and immature cortical neurons toZIKV under the same conditions. hESCs and hiPSCs could
also be infected by ZIKV, but the infection was limited to a few
cells at the colony edge with reduced expression of the pluripo-
tent marker NANOG (Figures 1C andS1D;Table S1). Immature
neurons differentiated from hNPCs also exhibited lower levels
of infection under our conditions (Figures 1B and 1C). Together,
these results establish that hNPCs, a constitutive population of
the developing embryonic brain, are a direct cell target of ZIKV.
ZIKV envelope immunostaining exhibited the characteristic
intracellular virus factory pattern of flaviviruses (Romero-
Brey and Bartenschlager, 2014)(Figure 1A). We therefore tested
infectivity using supernatant from infected hNPCs and observed
robust infection of Vero cells (Figure 1D), indicating that produc-
tive infection of hNPCs leads to efficient secretion of infectious
ZIKV particles.
We next determined the potential impact of ZIKV infection on
hNPCs. We found a 29.9% 6.6% reduction in the total number
of viable cells 6672 hr after ZIKV infection, as compared to the
mock infection (n = 3). Interestingly, ZIKV infection led to signif-icantly higher caspase-3 activation in hNPCs 3 days after infec-
tion, as compared to the mock infection, suggesting increased
cell death (Figures 2A and 2B). Furthermore, analysis of DNA
content by flow cytometry suggested cell-cycle perturbation of
infected hNPCs (Figures 2C andS2A). Therefore, ZIKV infection
of hNPCs leads to attenuated growth of this cell population that
is due, at least partly, to both increased cell death and cell-cycle
dysregulation.
To investigate the impact of ZIKV infection on hNPCs at the
molecular level, we employed global transcriptome analyses
(RNA-seq). Our genome-wide analyses identified a large number
of differentially expressed genes upon viral infection (Figure S2B
and Table S2). Gene Ontology analyses revealed a particular
A BZIKVEDAPI
+ZIKV
Mock
+ZIKV
Mock
ZIKVEDAPI
C D
hNPC neuron
Vero
ZIKVEDAPI
hESC hiPSC hNPC
C line
hNPC
D line
Neuron
Day 1
Neuron
Day 9
0
20
40
60
80
100
Infectionrate(%)
* *
5 5 5 566
*
Figure 1. ZIKV Infects hiPSC-Derived Neural Progenitor Cells with High Efficiency
(A and B) Sample confocal images of forebrain-specific hNPCs (A) and immature neurons (B) 56 hr after infection withZIKV supernatant,immunostained for ZIKVenvelop protein (ZIKVE; green) and DAPI (gray). Cells were differentiated from the C1-2 hiPSC line. Scale bars, 20mm.
(C) Quantification of infection efficiency for different cell types, including hESCs, hiPSCs, hNPCS derived from two different hiPSCs, and immature neurons 1 or
9 days after differentiation from hNPCs. Both hESCs and hiPSCs were analyzed 72 hr after infection, whereas all other cells were analyzed 56 hr after infection.
Numbers associated with bar graphs indicate numbers of independent experiments. Values represent mean SD (*p < 0.01; Students t test).
(D)Production of infectious ZIKVparticlesby infected hNPCs. Supernatant fromhNPC cultures72 hr after ZIKVinfection wascollected and added to Verocellsfor
2 hr. The Vero cells were further cultured for 48 hr. Shown are sample images of ZIKVE immunostaining (green) and DAPI (gray). Scale bars, 20 mm.
See alsoFigure S1andTable S1.
2 Cell Stem Cell 18, 14, June 2, 2016 2016 Elsevier Inc.
Please cite this article in press as: Tang et al., Zika Virus Infects Human Cortical Neural Progenitors and Attenuates Their Growth, Cell Stem Cell (2016),
http://dx.doi.org/10.1016/j.stem.2016.02.016
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enrichment of downregulated genes in cell-cycle-related path-
ways (Figure 2D), which is consistent with our flow cytometry
findings (Figure 2C). Upregulated genes were primarily enriched
in transcription, protein transport, and catabolic processes
(Figure 2E). Consistent with increased caspase-3 activation
observed by immunocytochemistry (Figures 2A and 2B), RNA-
seq analysis revealed upregulation of genes, including cas-
pase-3, involved in the regulation of the apoptotic pathway(Figure 2E). These global transcriptome datasets not only sup-
port ourcell biology findings butalso provide a valuable resource
for the field.
It is not known whether specific strains of ZIKV circulating in
geographically diverse parts of the world differ in their ability to
impact neural development, and the stain we used had been
discovered prior to the current reports of a potential epidemio-
logic link between ZIKV and microcephaly. Nevertheless, our re-
sults clearly demonstrate that ZIKV can directly infect hNPCs
in vitro with high efficiency and that infection of hNPCs leads
to attenuated population growth through virally induced
caspase-3-mediated apoptosis and cell-cycle dysregulation.
Infected hNPCs also release infectious viral particles, which pre-
sents a significant clinical challenge for developing effective
therapeutics to arrest or block the impact of infection. Future
studies using the hiPSC/hNPC model can determine whether
various ZIKV strains impact hNPCs differently and, conversely,
whether a single ZIKV strain differentially affects hNPCs from
hiPSCs of various human populations.
Flaviviruses tend to have broad cellular tropisms and multiple
factors contribute to pathogenic outcomes, including specificcellular response and tissue accessibility. Dengue virus infects
cells of several lineages and hematopoietic cells play an essen-
tial role in the associated pathogenesis (Pham et al., 2012). West
Nile virus infects epithelial cells of multiple tissues and can be
neuroinvasive (Suthar et al., 2013). We note that ZIKV also infects
other human cell types, including skin cells and fibroblasts
(Hamel et al., 2015), and it remains unknown how ZIKV may
gain access to the fetal brain (Mlakar et al., 2016). The capacity
of ZIKV to infect hNPCs and attenuate their growth underscores
the urgent need for more research into the role of these cells in
putative ZIKV-related neuropathology. The finding that ZIKV
also infects immature neurons raises critical questions about
pathological effects on neurons and other neural cell types in
+ ZIKV Mock0
5
10
15
20
Cas3+c
ells(%)
A CZIKVECas3DAPI
+ZIK
V
Mock
Mock
Infected
Mixture
0
2000
4000
0
500
1000
0
300
600
25000 50000 75000 100000
25000 50000 75000 100000
25000 50000 75000 100000
D ECell cycle
Cell cycle phase
M phase
Nuclear division
Mitosis
M phase of mitotic cell cycle
Cell cycle process
Organelle fission
DNA metabolic process
Mitotic cell cycle
Transcription
Regulation of transcription
Protein localization
Protein transport
Establishment of protein localization
Intracellular transport
Regulation of transcription, DNA-dependent
Modification-dependent macromolecule catabolic process
Modification-dependent protein catabolic process
Regulation of cell death
0 10 20 300 10 20 30
-log10 Pvalue
B 2N 4N
*
-log10 Pvalue
Figure 2. ZIKV-Infected hNPCs Exhibit Increased Cell Death and Dysregulated Cell-Cycle Progression and Gene Expression
(A and B) Increased cell death of ZIKV-infected hNPCs. Shown in (A) are sample images of immunostaining of hNPCs for ZIKVE (green) and cleaved-caspase-3
(Cas3; red) and DAPI (gray) 72 hr after ZIKV infection. Scale bars, 20 mm. Shown in (B) is the quantification. Values represent mean SEM (n = 6; *p < 0.01;
Students t test).
(C) Cell-cycle perturbation of hNPCs infected by ZIKV. Shown are sample flow cytometry analyses of distributions of hNPCs (from the C1-2 line) at different
phases of the cell cycle 72 hr after ZIKV or mock infection. For the mixture sample, mock and infected hNPCs were mixed at a ratio of 1:1 following propidiumiodide staining of each sample.
(D and E) RNA-seq analysis of hNPCs (C1-2 line) 56 hr after ZIKV or mock infection. Genes with significant differences in expression between infected and
uninfected hNPCs were subjected to GO analyses. The top 10 most significant terms are shown for downregulated (D) and upregulated (E) genes, respectively.
The log10 p values are indicated by bar plots. An additional term of regulation of programmed cell death is also shown for upregulated genes (E).
See alsoFigure S2andTable S2.
Cell Stem Cell 18, 14, June 2, 2016 2016 Elsevier Inc. 3
Please cite this article in press as: Tang et al., Zika Virus Infects Human Cortical Neural Progenitors and Attenuates Their Growth, Cell Stem Cell (2016),
http://dx.doi.org/10.1016/j.stem.2016.02.016
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the brain, as well as potential long-term consequences. Intrigu-
ingly, an early animal study showed ZIKV infection of neurons
and astrocytes in mice and observed enlarged astrocytes (Bell
et al., 1971). Our study also raises the question of whether
ZIKV infects neuralstem cells in adult humans(Bond et al., 2015).In summary, our results fill a major gap in our knowledgeabout
ZIKV biology and serve as an entry point to establish a mecha-
nistic link between ZIKV and microcephaly. Our study also pro-
vides a tractable experimental system for modeling the impact
of ZIKV on neural development and for investigating underlying
cellular and molecular mechanisms. Of equal importance, our
hNPC model and robust cellular phenotype comprise a readily
scalable platform for high-throughput screens to prevent ZIKV
infection of hNPCs and to ameliorate its pathological effects dur-
ing neural development.
ACCESSION NUMBERS
The accession number for RNA-seq data reported in this paper is GEO:GSE78711.
SUPPLEMENTAL INFORMATION
Supplemental Information for this article includes two figures, two tables, and
Supplemental Experimental Procedures and can be found with this article on-
line at http://dx.doi.org/10.1016/j.stem.2016.02.016.
AUTHOR CONTRIBUTIONS
H.T., H.S., and G.-l.M. conceived of the research, designed the study, and
wrote the manuscript. C.H., S.C.O., Z.W., and X.Q. performed experiments,
analyzed data, and contributed equally to this study. Y.L., B.Y., J.S., F.Z.,
and P.J.performed RNA-seq analysis, and E.M.L.,K.M.C.,and R.A.D. contrib-
uted to additional data collection. All authors commented on the manuscript.
ACKNOWLEDGMENTS
We thank Yichen Cheng, Taylor Lee, and Jianshe Lang of the Tang laboratory,
Lihong Liu and Yuan Cai of the Ming and Song laboratories, Luoxiu Huang of
the Jin laboratory for technical assistance, Zhiheng Xu and additional labora-
tory members for suggestions, and Timothy Megraw for assistance with
confocal imaging. H.T. thanks the College of Arts and Sciences and the
Department of Biological Science at Florida State University for seed funding.
This work was partially supported by NIH (AI119530/AI111250 to H.T.,
NS047344 to H.S., NS048271/NS095348 to G-l.M., and NS051630/
NS079625/MH102690 to P.J.), MSCRF (toH.S.), and start-up funding (to H.S.).
Received: February 24, 2016
Revised: February 28, 2016
Accepted: February 29, 2016
Published: March 4, 2016
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Please cite this article in press as: Tang et al., Zika Virus Infects Human Cortical Neural Progenitors and Attenuates Their Growth, Cell Stem Cell (2016),
http://dx.doi.org/10.1016/j.stem.2016.02.016
http://dx.doi.org/10.1016/j.stem.2016.02.016http://refhub.elsevier.com/S1934-5909(16)00106-5/sref1http://refhub.elsevier.com/S1934-5909(16)00106-5/sref1http://refhub.elsevier.com/S1934-5909(16)00106-5/sref1http://refhub.elsevier.com/S1934-5909(16)00106-5/sref1http://refhub.elsevier.com/S1934-5909(16)00106-5/sref2http://refhub.elsevier.com/S1934-5909(16)00106-5/sref2http://refhub.elsevier.com/S1934-5909(16)00106-5/sref2http://refhub.elsevier.com/S1934-5909(16)00106-5/sref2http://dx.doi.org/10.1016/S1473-3099(16)00095-5http://refhub.elsevier.com/S1934-5909(16)00106-5/sref4http://refhub.elsevier.com/S1934-5909(16)00106-5/sref4http://refhub.elsevier.com/S1934-5909(16)00106-5/sref4http://refhub.elsevier.com/S1934-5909(16)00106-5/sref4http://refhub.elsevier.com/S1934-5909(16)00106-5/sref5http://refhub.elsevier.com/S1934-5909(16)00106-5/sref5http://refhub.elsevier.com/S1934-5909(16)00106-5/sref5http://refhub.elsevier.com/S1934-5909(16)00106-5/sref5http://refhub.elsevier.com/S1934-5909(16)00106-5/sref5http://refhub.elsevier.com/S1934-5909(16)00106-5/sref5http://refhub.elsevier.com/S1934-5909(16)00106-5/sref6http://refhub.elsevier.com/S1934-5909(16)00106-5/sref6http://refhub.elsevier.com/S1934-5909(16)00106-5/sref6http://refhub.elsevier.com/S1934-5909(16)00106-5/sref6http://refhub.elsevier.com/S1934-5909(16)00106-5/sref6http://dx.doi.org/10.1056/NEJMoa1600651http://refhub.elsevier.com/S1934-5909(16)00106-5/sref8http://refhub.elsevier.com/S1934-5909(16)00106-5/sref8http://refhub.elsevier.com/S1934-5909(16)00106-5/sref8http://refhub.elsevier.com/S1934-5909(16)00106-5/sref8http://refhub.elsevier.com/S1934-5909(16)00106-5/sref8http://refhub.elsevier.com/S1934-5909(16)00106-5/sref8http://refhub.elsevier.com/S1934-5909(16)00106-5/sref8http://refhub.elsevier.com/S1934-5909(16)00106-5/sref9http://refhub.elsevier.com/S1934-5909(16)00106-5/sref9http://refhub.elsevier.com/S1934-5909(16)00106-5/sref9http://refhub.elsevier.com/S1934-5909(16)00106-5/sref9http://refhub.elsevier.com/S1934-5909(16)00106-5/sref9http://refhub.elsevier.com/S1934-5909(16)00106-5/sref10http://refhub.elsevier.com/S1934-5909(16)00106-5/sref10http://refhub.elsevier.com/S1934-5909(16)00106-5/sref10http://refhub.elsevier.com/S1934-5909(16)00106-5/sref10http://refhub.elsevier.com/S1934-5909(16)00106-5/sref11http://refhub.elsevier.com/S1934-5909(16)00106-5/sref11http://refhub.elsevier.com/S1934-5909(16)00106-5/sref11http://refhub.elsevier.com/S1934-5909(16)00106-5/sref11http://refhub.elsevier.com/S1934-5909(16)00106-5/sref12http://refhub.elsevier.com/S1934-5909(16)00106-5/sref12http://refhub.elsevier.com/S1934-5909(16)00106-5/sref12http://refhub.elsevier.com/S1934-5909(16)00106-5/sref12http://refhub.elsevier.com/S1934-5909(16)00106-5/sref12http://refhub.elsevier.com/S1934-5909(16)00106-5/sref12http://refhub.elsevier.com/S1934-5909(16)00106-5/sref12http://refhub.elsevier.com/S1934-5909(16)00106-5/sref12http://refhub.elsevier.com/S1934-5909(16)00106-5/sref12http://refhub.elsevier.com/S1934-5909(16)00106-5/sref11http://refhub.elsevier.com/S1934-5909(16)00106-5/sref11http://refhub.elsevier.com/S1934-5909(16)00106-5/sref10http://refhub.elsevier.com/S1934-5909(16)00106-5/sref10http://refhub.elsevier.com/S1934-5909(16)00106-5/sref9http://refhub.elsevier.com/S1934-5909(16)00106-5/sref9http://refhub.elsevier.com/S1934-5909(16)00106-5/sref9http://refhub.elsevier.com/S1934-5909(16)00106-5/sref8http://refhub.elsevier.com/S1934-5909(16)00106-5/sref8http://refhub.elsevier.com/S1934-5909(16)00106-5/sref8http://refhub.elsevier.com/S1934-5909(16)00106-5/sref8http://refhub.elsevier.com/S1934-5909(16)00106-5/sref8http://dx.doi.org/10.1056/NEJMoa1600651http://refhub.elsevier.com/S1934-5909(16)00106-5/sref6http://refhub.elsevier.com/S1934-5909(16)00106-5/sref6http://refhub.elsevier.com/S1934-5909(16)00106-5/sref6http://refhub.elsevier.com/S1934-5909(16)00106-5/sref6http://refhub.elsevier.com/S1934-5909(16)00106-5/sref5http://refhub.elsevier.com/S1934-5909(16)00106-5/sref5http://refhub.elsevier.com/S1934-5909(16)00106-5/sref5http://refhub.elsevier.com/S1934-5909(16)00106-5/sref5http://refhub.elsevier.com/S1934-5909(16)00106-5/sref4http://refhub.elsevier.com/S1934-5909(16)00106-5/sref4http://dx.doi.org/10.1016/S1473-3099(16)00095-5http://refhub.elsevier.com/S1934-5909(16)00106-5/sref2http://refhub.elsevier.com/S1934-5909(16)00106-5/sref2http://refhub.elsevier.com/S1934-5909(16)00106-5/sref1http://refhub.elsevier.com/S1934-5909(16)00106-5/sref1http://dx.doi.org/10.1016/j.stem.2016.02.016 -
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SUPPLEMENTARY FIGURES AND LEGENDS
Figure S1, related to Figure 1.(A) RT-PCR amplification of ZIKV genome from infected Vero cells. Primers were designed using
the ZIKV MR766 sequence: #1: 89-279; #2: 4082-4281; #3: 1763-1952; #4: 1763-1850.(B) Sample images of immunostaining of Vero cells with a pan-flavivirus anti-E antibody (ZIKVE) at
56 hours after infection or mock infection. Scale bar: 20 m.(C-D) Sample images of immunostaining of HEK293 cells (C) and hESCs (WA09) and hiPSCs(DF19-9-11T.H.; D) with ZIKVE 72 hours after ZIKV or mock infection. hESCs and hiPSCs werealso stained with antibody against pluripotency marker NANOG. Note that ZIKVE+cells were
located at the edge of the colonies and exhibited reduced levels of NANOG. Scale bars: 20 m.
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Figure S2, related to Figure 2.(A) Sample flow cytometry plots of the distribution of hNPCs at different phases of cell cycle 72hours after ZIKV or mock infection. An independent experiment using the same protocol as inFigure 2C.(B) Scatter plot of global transcriptome changes between mock and ZIKV infected cells. Log2FPKM (Fragments Per Kilobase of transcript per Million mapped reads) from RNA-seq data areplotted, and genes with significant differential expression values are highlighted. Upregulated genesare shown in red and downregulated genes are shown in blue.
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SUPPLEMENTARY TABLES
Table S1. Summary of ZIKV infection of different cell types, related to Figure 1.
Name Type ZIKV permissiveness*
WA09 hESCs +/-
DF19-9-11T.H. hiPSCs +/-C1-2-NPC hNPCs +++
D3-2-NPC hNPCs +++
C1-2-N differentiated immature neurons fromhNPCs
+
293T human embryonic kidney cell line +/-
SNB-19 human CNS cell line (Glioblastoma) +++
SF268 human CNS cell line (astrocytoma) +++
Vero monkey IFN-kidney cell line +++
C6/C36 mosquito (Aedes albopictus) cell line +++
* +++: 65-100% cells infection after 3 days; +: 10-20% of the cells infected after 3 days; +/-: < 10%
of cells infected after 3 days.
Table S2. Differential gene expression between ZIKV infected and mock infected hNPCs,related to Figure 2.(A) Sequencing information(B) List of downregulated genes(C) List of upregulated genes
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SUPPLEMENTAL EXPERIMENTAL PROCEDURES
Culture of Human iPSCs and Differentiation into Cortical Neural Progenitor Cells andImmature NeuronsHuman iPSC lines were previously generated from skin biopsy samples of a male newborn (C1-2line) and a male adult (D3-2 line) and had been fully characterized and passaged on MEF feederlayers (Wen et al., 2014). H9 hESCs (WA09 from WiCell) and hiPSCs (DF19-9-11T.H. from WiCell)were cultured under feeder-free conditions as described previously (Wu et al., 2012). All studiesfollowed institutional IRB and ISCRO protocols approved by Johns Hopkins University School ofMedicine and Florida State University. Human iPSCs (C1-2 and D3-2) were differentiated intoforebrain-specific hNPCs and immature neurons following a previously established protocol (Wen etal., 2014). Briefly, hiPSCs colonies were detached from the feeder layer with 1 mg/ml collagenasetreatment for 1 hour and suspended in embryonic body (EB) medium, consisting of FGF-2-freeiPSC medium supplemented with 2 M Dorsomorphin and 2 M A-83, in non-treated polystyreneplates for 4 days with a daily medium change. After 4 days, EB medium was replaced by neuralinduction medium (NPC medium) consisting of DMEM/F12, N2 supplement, NEAA, 2 g/ml heparinand 2 M cyclopamine. The floating EBs were then transferred to matrigel-coated 6-well plates atday 7 to form neural tube-like rosettes. The attached rosettes were kept for 15 days with NPCmedium change every other day. On day 22, the rosettes were picked mechanically and transferredto low attachment plates (Corning) to form neurospheres in NPC medium containing B27. The
neurospheres were then dissociated with Accutase at 37C for 10 minutes and placed onto
matrigel-coated 6-well plates at day 24 to form monolayer hNPCs in NPC medium containing B27.These hNPCs expressed forebrain-specific progenitor markers, including NESTIN, PAX6, EMX-1,FOXG1 and OTX2 (Wen et al., 2014). For neuronal differentiation, monolayer hNPCs were
dissociated with Accutase at 37C for 5 minutes and placed onto Poly-D-Lysine/laminin-coated
coverslips in the neuronal culture medium, consisting of Neurobasal medium supplemented with 2
mM L-glutamine, B27, cAMP (1 M), LAscorbic Acid (200 ng/ml), BDNF (10 ng/ml) and GDNF (10ng/ml) (Wen et al., 2014).
Preparation of ZIKV and Cell InfectionA ZIKV stock with the titer of 1x105Tissue Culture Infective Dose (TCID)/ml in the form of culturefluid from an infected rhesus Macaca cell line, LLC-MK2, was originally obtained from ZeptoMetrix(Buffalo, NY). This virus stock was then used to infect theAedesC3/C36 cells at a MOI of 0.02.Supernatant from the infected mosquito cells was collected 4-6 days post-infection and frozen inaliquots for both titering and infection of human cells. An equal volume of culture medium fromuninfected C3/C36 cells was used for mock infection. For all infections, 0.5-1 million cells wereseeded into 12-well plates with or without coverlips one day before virus addition. hiPSCs (DF19-9-11T.H.) were cultured under feeder-free conditions in mTeSR medium before infection. All viralinfection were performed under the same condition and the virus inoculum was removed after a 2-hour incubation and fresh medium for the appropriate cell type was added. To determine whetherinfected hNPCs produced more infectious ZIKV particles, supernatant from hNPC cultures 72 hoursafter infection was collected, filtered and then added to Vero cells for 48 hours.
RNA Extraction, RT-PCR and DNA sequencingTotal cellular RNA was purified from nave or ZIKV-infected Vero cells using the Qiagen RNeasyPlus kit according to manufacturers instructions. cDNA was produced from 1,000 ng total RNA,using random hexamers and an Invitrogen Superscript III first-strand kit according to themanufacturer's instructions. PCR was performed using GoTaq green PCR master mix (Promega)and Zika MR766 -genome specific primers (genome position 80-279: forward,TGGGAGGTTTGAAGAGGCTG; reverse, TCTCAACATGGCAGCAAGATCT; 1763-1850, forward,CATATTCCTTGTGCACCGCG, reverse, GCATACTGCACCTCCACTGT; 1763-1952, forward,CATATTCCTTGTGCACCGCG, reverse, TCAGTAATCACGGGGTTGGC; 4082-5456, forward,
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CAAGGAGTGGGAAGCGGAG, reverse, CCATGTGATGTCACCTGCTCT; 5456-5620, forward,GCGATGCGTTTCCAGATTCC, reverse, TTGTCAGACAGGCTGCGATT). PCR products werepurified and directly sequenced without cloning.
ImmunocytochemistryCells were fixed with 4% paraformaldehyde (Sigma) for 15 min at room temperature. Samples werepermeabilized and blocked with 0.25% Triton X-100 (Sigma) and 10% donkey serum in PBS for 20min as previously described (Chiang et al., 2011; Wen et al., 2014; Yoon et al., 2014). Sampleswere then incubated with primary antibodies at 4 C overnight, followed by incubation withsecondary antibodies for 1 hr at room temperature. The following antibodies were used: anti-Flavivirus Group Antigen Antibody (clone D1-4G2-4-15; mouse; 1:500; Millipore), anti-Cleavedcaspase-3 (Asp15; Rabbit; 1:500; Cell Signaling Technology), anti-NANOG (goat; 1:500; R & DSystems). Antibodies were prepared in PBS containing 0.25% Triton X-100 and 10% donkeyserum. Images were taken by Zeiss LSM 880 confocal microscope, or Zeiss Axiovert 200Mmicroscope.
Flow Cytometry AnalysisZIKV-infected hNPCs at 72 hours post-infection and mock-infected parallel cultures were fixed forDNA content analysis. Staining with a Propidium Iodide Flow Cytometry Kit for Cell Cycle Analysis(Abcam) was performed according to manufacturer's instructions. Cell cycle progression data wereobtained using BD FACS Canto Ruo Special Order System flow cytometer (Becton Dickinson) andanalyzed using FACS Diva software.
Transcriptome AnalysesZIKV-infected hNPCs 56 hours after ZIKA and mock infection in parallel cultures were used forglobal transcriptome analysis. RNA-seq libraries were generated from duplicated samples percondition using the Illumina TruSeq RNA Sample Preparation Kit v2 following manufacturersprotocol. An Agilent 2100 BioAnalyzer and DNA1000 kit (Agilent) were used to quantify amplifiedcDNA, and a qPCR-based KAPA library quantification kit (KAPA Biosystems) was used toaccurately quantify library concentration. 12 pM diluted libraries were used for sequencing. 75-cyclepaired-end sequencings were performed using Illumina MiSeq and single-end sequencings wereperformed as technical replicates using Illumina NextSeq (Table S2A). Image processing andsequence extraction were performed using the standard Illumina Pipeline (BaseSpace). RNA-seqreads were aligned using tophat v2.0.13 (Trapnell et al., 2012). Significantly differentially expressedgenes were identified using cuffdiff by comparing FPKMs between all pairs of samples with P value< 0.05 (Trapnell et al., 2012) (Figure S2B and Table S2B-C). Gene Ontology analyses on biologicalprocess were performed by The Database for Annotation, Visualization and Integrated Discovery(DAVID) v6.7 (Huang da et al., 2009).
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SUPPLEMENTARY REFERENCES
Chiang, C.H., Su, Y., Wen, Z., Yoritomo, N., Ross, C.A., Margolis, R.L., Song, H., and Ming, G.L.(2011). Integration-free induced pluripotent stem cells derived from schizophrenia patients with aDISC1 mutation. Mol Psychiatry16, 358-360.
Huang da, W., Sherman, B.T., and Lempicki, R.A. (2009). Systematic and integrative analysis oflarge gene lists using DAVID bioinformatics resources. Nature protocols4, 44-57.
Trapnell, C., Roberts, A., Goff, L., Pertea, G., Kim, D., Kelley, D.R., Pimentel, H., Salzberg, S.L.,Rinn, J.L., and Pachter, L. (2012). Differential gene and transcript expression analysis of RNA-seqexperiments with TopHat and Cufflinks. Nature protocols7, 562-578.
Wen, Z., Nguyen, H.N., Guo, Z., Lalli, M.A., Wang, X., Su, Y., Kim, N.S., Yoon, K.J., Shin, J.,Zhang, C., et al. (2014). Synaptic dysregulation in a human iPS cell model of mental disorders.Nature515, 414-418.
Wu, X., Robotham, J.M., Lee, E., Dalton, S., Kneteman, N.M., Gilbert, D.M., and Tang, H. (2012).Productive hepatitis C virus infection of stem cell-derived hepatocytes reveals a critical transition toviral permissiveness during differentiation. PLoS pathogens8, e1002617.
Yoon, K.J., Nguyen, H.N., Ursini, G., Zhang, F., Kim, N.S., Wen, Z., Makri, G., Nauen, D., Shin,J.H., Park, Y., et al. (2014). Modeling a genetic risk for schizophrenia in iPSCs and mice revealsneural stem cell deficits associated with adherens junctions and polarity. Cell Stem Cell 15, 79-91.
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