1 tory network to interrogate the embryo using
single cell RNA sequencing.
2 both real-time and three-dimensions, and in
single cell RNA sequencing.
3 ed assays and newer technologies such as 10x
single-cell RNA sequencing.
4 cal samples with the depth and resolution of
single-cell RNA sequencing.
5 HSC and macrophage heterogeneity revealed by
single-cell RNA sequencing.
6 have intrinsic fate biases not detectable by
single-cell RNA sequencing.
7 iation from the fetal and adult thymus using
single-cell RNA sequencing.
8 diversity across forebrain regions, we used
single-cell RNA sequencing.
9 red mouse models and from the perspective of
single-cell RNA sequencing.
10 of physically interacting cells (PICs) with
single-cell RNA-sequencing.
11 tis in the world, using the powerful tool of
single-cell RNA-sequencing.
12 Single-cell RNA sequencing (
10x Genomics, Pleasanton, Ca
13 Using
single-cell RNA sequencing,
a unique network methodology
14 Single-cell RNA sequencing analyses detected activated B
15 Single-cell RNA sequencing analyses reveal four distinct
16 med multicolor flow cytometry, high-coverage
single-cell RNA sequencing analyses, and cell fate assay
17 Mechanistically,
single-cell RNA-sequencing analyses of a mesenchymal nic
18 Flow cytometric, bulk, and
single-cell RNA-sequencing analyses on small intestine (
19 Unbiased
single cell RNA sequencing analysis of combined nondiabe
20 Here, through
single cell RNA-sequencing analysis of the tracheal epit
21 Comparative
single-cell RNA sequencing analysis confirmed that this
22 Single-cell RNA sequencing analysis of 6,154 cells from
23 We performed
single-cell RNA sequencing analysis of ascending aortic
24 Furthermore, foot skin
single-cell RNA sequencing analysis showed multiple fibr
25 Using
single-cell RNA sequencing analysis, we found here that
26 Here, using
single-cell RNA sequencing analysis, we identified a pop
27 More importantly,
single-cell RNA-sequencing analysis illustrated that vOr
28 Single-cell RNA-sequencing analysis indicated that these
29 ngs with TLOs.Measurements and Main Results:
Single-cell RNA-sequencing analysis revealed a high degr
30 rogeneity of the intestinal mesenchyme using
single-cell RNA-sequencing analysis, we identified a pop
31 n SPG using both conventional approaches and
single-cell RNA-sequencing analysis.
32 Using
single-cell RNA sequencing analyzing 28,726 cells, we id
33 Using
single cells RNA sequencing and high-dimensional flow cy
34 otic mouse aortas was recently analyzed in 9
single-cell RNA sequencing and 2 mass cytometry studies.
35 Single-cell RNA sequencing and analytical approaches hav
36 We used genetic fate-tracing, time-course
single-cell RNA sequencing and ATAC-seq (assay for trans
37 We applied
single-cell RNA sequencing and computational modelling t
38 Single-cell RNA sequencing and direct comparison to feta
39 Using
single-cell RNA sequencing and epigenetic profiling, we
40 Using
single-cell RNA sequencing and flow cytometry, we found
41 e bronchioalveolar compartment as defined by
single-cell RNA sequencing and fluorescence as well as e
42 Using
single-cell RNA sequencing and functional analyses, we f
43 n rare metastatic cells during seeding using
single-cell RNA sequencing and patient-derived-xenograft
44 Single-cell RNA sequencing and qRT-PCR of sorted cells i
45 Here, we use
single-cell RNA sequencing and single-molecule RNA FISH
46 Using
single-cell RNA sequencing and synovial tissue organoids
47 cent studies combine two novel technologies,
single-cell RNA-sequencing and CRISPR-Cas9 barcode editi
48 d by quantitative reverse-transcription PCR,
single cell RNA sequencing,
and immunohistochemistry.
49 ging technologies, such as machine learning,
single-cell RNA sequencing,
and high-throughput screens,
50 finity to DIII proteins, timed AID deletion,
single-cell RNA sequencing,
and lineage tracing experime
51 g this strategy with imaging flow cytometry,
single-cell RNA sequencing,
and maxRNA sequencing, we id
52 In
single-cell RNA sequencing,
apoB(+) T cells formed sever
53 Using transcriptional profiling and
single-cell RNA sequencing approaches, we identify a dis
54 Here we describe barcodelet
single-cell RNA sequencing (
barRNA-seq), which enables s
55 The Plant
Single Cell RNA-Sequencing Browser, with its comprehensi
56 Full transcript length
single-cell RNA sequencing characterized the transcripto
57 We validate our method on
single-cell RNA sequencing,
chromatin accessibility and
58 Here, we report for the first time in-depth
single-cell RNA sequencing,
combined with spatial transc
59 Single-cell RNA sequencing comprehensively characterized
60 trends in datasets of protein expression and
single-cell RNA sequencing,
computed tomography, electro
61 Single-cell RNA sequencing confirms the accumulation of
62 Using
single-cell RNA sequencing coupled with high-resolution
63 s for meningioma therapy using live imaging,
single cell RNA sequencing,
CRISPR interference, and pha
64 ke(+) cells, we provide detailed analyses of
single cell RNA sequencing data from the hypothalamus, a
65 y CD19 expression in brain mural cells using
single-cell RNA sequencing data and confirm perivascular
66 erring cell-cell communication networks from
single-cell RNA sequencing data and present a practical
67 We applied this method to published
single-cell RNA sequencing data from 74 human embryos, s
68 iptomic basis of EC specificity, we analyzed
single-cell RNA sequencing data from tissue-specific mou
69 We used
single-cell RNA sequencing data generated by the Tabula
70 Here, we integrated NDD genetics with
single-cell RNA sequencing data to assess coexpression e
71 ic tissue were analyzed and categorized with
single-cell RNA sequencing data to perform cluster ident
72 In addition, integrative analysis of our
single-cell RNA sequencing data with public genome-wide
73 y performing the integrative analysis of our
single-cell RNA sequencing data with publicly available
74 Single-cell RNA sequencing data, therefore, need to be c
75 eeded for supervised cell type annotation of
single-cell RNA sequencing data.
76 markers and sources of EC heterogeneity from
single-cell RNA sequencing data.
77 red by quantitative PCR and also analyzed in
single-cell RNA-sequencing data from control and IPF lun
78 xpression of viral entry-associated genes in
single-cell RNA-sequencing data from multiple tissues fr
79 By integrating
single-cell RNA-sequencing data of mouse hearts at multi
80 Our
single-cell RNA-sequencing data showed that EMP-derived
81 We used a systematic approach guided by
single-cell RNA-sequencing data to map the organizationa
82 ic gene expression from different tissues in
single-cell RNA-sequencing data.
83 ng SNP-based computational demultiplexing of
single-cell RNA-sequencing data.
84 valuation and sample size recommendation for
single-cell RNA-sequencing DE analysis.
85 Single-cell RNA sequencing demonstrated a non-selective
86 Bulk and
single-cell RNA sequencing demonstrated that different d
87 Single-cell RNA sequencing demonstrates that both HSV an
88 An underlying question for virtually all
single-cell RNA sequencing experiments is how to allocat
89 rge number of samples typically generated by
single-cell RNA-sequencing experiments.
90 in CK5+ but not intratumoral CK5- cells and
single-cell RNA sequencing found the top enriched pathwa
91 darterectomy samples and compared these with
single-cell RNA sequencing from murine microdissected ad
92 Single-cell RNA sequencing has emerged as a powerful too
93 dvent of high-throughput techniques, such as
single-cell RNA-sequencing has allowed for greater resol
94 Single-cell RNA-sequencing has grown massively in scale
95 high-dimensional cellular analyses, such as
single-cell RNA sequencing,
has enabled detailed charact
96 Recent advances in
single-cell RNA sequencing have revealed transcriptional
97 Single-cell RNA sequencing identified 16 cell clusters,
98 levels measured with full transcript length
single-cell RNA sequencing identified each cell type.
99 Surprisingly,
single-cell RNA-Sequencing implicated glia, not neurons,
100 Here we leveraged
single-cell RNA sequencing in combination with in vivo l
101 Here, using
single-cell RNA sequencing in human and mouse non-small-
102 sin), and colon motility studies in mice and
single-cell RNA sequencing in human colon to investigate
103 Single-cell RNA sequencing in mouse spleen and human per
104 Here we performed
single-cell RNA sequencing in peripheral blood samples o
105 e a universal sample multiplexing method for
single-cell RNA sequencing in which fixed cells are chem
106 Here we used whole tumour plus
single-cell RNA-sequencing in primary bone cancer and CT
107 of MSCs into adipocytes or osteoblasts using
single-cell RNA sequencing,
in vitro coculture, and subc
108 Single-cell RNA sequencing indicated that the transcript
109 Single-cell RNA sequencing is a powerful tool for explor
110 Using
single-cell RNA sequencing,
lineage tracing, whole-organ
111 Advances in
single-cell RNA-sequencing make it possible to infer lat
112 We performed
single-cell RNA sequencing,
mass spectrometry, and micro
113 sing a murine model of malaria and combining
single-cell RNA sequencing,
mathematical modelling, tran
114 The scale and capabilities of
single-cell RNA-sequencing methods have expanded rapidly
115 control of neurogenesis, we have carried out
single cell RNA sequencing of the zebrafish hindbrain at
116 Single cell RNA-sequencing of activated B cells and cons
117 Here, we use
single cell RNA-sequencing of patient tumors to identify
118 Here we combine
single-cell RNA sequencing of 51,199 mouse cells of ecto
119 We conducted a comprehensive
single-cell RNA sequencing of advanced human carotid end
120 Here, using droplet- and plate-based
single-cell RNA sequencing of approximately 75,000 human
121 Single-cell RNA sequencing of both organoids and primary
122 Single-cell RNA sequencing of embryos can resolve the tr
123 Single-cell RNA sequencing of five TNBCs revealed two ca
124 We performed
single-cell RNA sequencing of human eyelid skin from hea
125 fluorescence, and electron microscopy, while
single-cell RNA sequencing of human kidneys showed expre
126 atch-clamp recording, biocytin staining, and
single-cell RNA sequencing of more than 1,300 neurons in
127 imuli, we also analyzed data from a study of
single-cell RNA sequencing of mouse cortical neurons.
128 In this report, we present
single-cell RNA sequencing of over 38,000 cells from mou
129 Using
single-cell RNA sequencing of retinal cells isolated fro
130 ent of CF lung disease.Methods: We performed
single-cell RNA sequencing of sputum cells from nine sub
131 Single-cell RNA sequencing of the adult pituitary reveal
132 Single-cell RNA sequencing of the immune compartment sho
133 Single-cell RNA sequencing of the third instar larval br
134 Single-cell RNA sequencing of vascular and glial cells r
135 Single-cell RNA sequencing of vascular cells in mice sug
136 Single-cell RNA-sequencing of eight post-treatment sampl
137 Single-cell RNA-sequencing of human lungs, including tho
138 Single-cell RNA-sequencing of injured sciatic nerve iden
139 developing mouse brain in utero, followed by
single-cell RNA-sequencing of perturbed cells in the pos
140 Single-cell RNA-sequencing of plaque immune cells reveal
141 Single-cell RNA-sequencing of the microglial chimeric mo
142 otype were studied in an unbiased manner via
single-cell RNA sequencing on HLA-DR(+) cells sorted fro
143 We performed
single-cell RNA sequencing on skin biopsy specimens from
144 l these important knowledge gaps, we perform
single-cell RNA sequencing on two-day old schistosomula
145 r unfolded protein response (UPR) genes, and
single-cell RNA sequencing on whole bone marrow.
146 In the present research, using
single-cell RNA sequencing performed over a time series
147 By integrating CRISPR screens and
single-cell RNA-sequencing profiling, we have uncovered
148 Most
single cell RNA sequencing protocols start with single c
149 ge in pre-processing data from droplet-based
single-cell RNA sequencing protocols is distinguishing b
150 Advances in
single-cell RNA sequencing provide opportunities to iden
151 Single-cell RNA sequencing revealed a distinct gene expr
152 Single-cell RNA sequencing revealed increased IL5RA, IGH
153 Single-cell RNA sequencing revealed remarkable similarit
154 Microarray analysis and
single-cell RNA sequencing revealed that a number of cyt
155 tic lineage tracing of mature adipocytes and
single-cell RNA sequencing revealed that dermal adipocyt
156 Single-cell RNA sequencing revealed that epidermal devel
157 Furthermore,
single-cell RNA sequencing revealed that T cell receptor
158 Single-cell RNA-sequencing revealed that Ang2 blocking r
159 Indeed,
single-cell RNA sequencing reveals two subpopulations of
160 Single-cell RNA-sequencing,
ribosome-associated mRNA pro
161 Through mass cytometry and
single-cell RNA sequencing (
RNA-seq) analyses of human p
162 (GRN), we studied 10 melanoma cultures using
single-cell RNA sequencing (
RNA-seq) as well as 26 addit
163 atch effects satisfactorily, especially with
single-cell RNA sequencing (
RNA-seq) data.
164 Performing
single-cell RNA sequencing (
RNA-seq) of 179,632 cells ac
165 Current approaches to
single-cell RNA sequencing (
RNA-seq) provide only limite
166 Using
single-cell RNA sequencing (
RNA-seq), we characterize 43
167 zed by histology, immunohistochemistry, and (
single-cell) RNA sequencing;
RNA and proteins were ident
168 High throughput microfluidic protocols in
single cell RNA sequencing (
scRNA-seq) collect mRNA coun
169 While
single cell RNA sequencing (
scRNA-seq) is invaluable for
170 identification is one of the major goals in
single cell RNA sequencing (
scRNA-seq).
171 oving the scalability and the reliability of
single cell RNA sequencing (
scRNA-seq).
172 cells re-express Ascl2 days before Lgr5, and
single-cell RNA sequencing (
scRNA-seq) analyses reveal t
173 Our
single-cell RNA sequencing (
scRNA-seq) analysis reveals
174 and anatomical diversity of adult SPNs using
single-cell RNA sequencing (
scRNA-seq) and quantitative
175 s this question, we employed a droplet-based
single-cell RNA sequencing (
scRNA-seq) approach to syste
176 Single-cell RNA sequencing (
scRNA-seq) can be used to ex
177 Single-cell RNA sequencing (
scRNA-seq) can characterize
178 d identification of putative cell types from
single-cell RNA sequencing (
scRNA-seq) data.
179 Comparing diverse
single-cell RNA sequencing (
scRNA-seq) datasets generate
180 Single-cell RNA sequencing (
scRNA-seq) deconvolves cell
181 Single-cell RNA sequencing (
scRNA-seq) enables the syste
182 The development of
single-cell RNA sequencing (
scRNA-seq) has allowed high-
183 Single-cell RNA sequencing (
scRNA-seq) has become an ess
184 Single-cell RNA sequencing (
scRNA-seq) has enabled the s
185 In the cerebral cortex,
single-cell RNA sequencing (
scRNA-seq) has revealed the
186 Although
single-cell RNA sequencing (
scRNA-seq) has revolutionize
187 Using
single-cell RNA sequencing (
scRNA-seq) in Arabidopsis th
188 Single-cell RNA sequencing (
scRNA-Seq) indicated that SL
189 Single-cell RNA sequencing (
scRNA-seq) is a popular and
190 Single-cell RNA sequencing (
scRNA-seq) is a powerful app
191 Single-cell RNA sequencing (
scRNA-seq) is a powerful too
192 Single-cell RNA sequencing (
scRNA-seq) is a technology t
193 me sequencing of donor and recipient DNA and
single-cell RNA sequencing (
scRNA-seq) of five human kid
194 Single-cell RNA sequencing (
scRNA-seq) of metastatic lun
195 opioids in an unbiased way, here we perform
single-cell RNA sequencing (
scRNA-seq) of peripheral blo
196 Here we performed
single-cell RNA sequencing (
scRNA-seq) of total 125,674
197 As a step toward validation, we performed
single-cell RNA sequencing (
scRNA-seq) on biopsies from
198 Progress in
single-cell RNA sequencing (
scRNA-seq) provides an oppor
199 Single-cell RNA sequencing (
scRNA-seq) resolves heteroge
200 Single-cell RNA sequencing (
scRNA-seq) reveals that ~15%
201 Single-cell RNA sequencing (
scRNA-seq) technologies enab
202 However, these
single-cell RNA sequencing (
scRNA-seq) technologies gene
203 We used
single-cell RNA sequencing (
scRNA-seq) to achieve an unb
204 Here, we employed
single-cell RNA sequencing (
scRNA-seq) to examine the im
205 B sequencing, integration site analysis, and
single-cell RNA sequencing (
scRNA-seq) to profile CD8(+)
206 ntrol hypothalamic development, we have used
single-cell RNA sequencing (
scRNA-Seq) to profile mouse
207 tive immunity in severe COVID-19, we applied
single-cell RNA sequencing (
scRNA-seq) to profile periph
208 ere we utilized human cerebral organoids and
single-cell RNA sequencing (
scRNA-seq) to study the effe
209 Single-cell RNA sequencing (
scRNA-seq) was performed on
210 multimodal analytical approach by combining
single-cell RNA sequencing (
scRNA-seq) with Raman optica
211 We performed
single-cell RNA sequencing (
scRNA-seq) with the clinical
212 With the advent of
single-cell RNA sequencing (
scRNA-seq), it is in princip
213 With recent technical advances in
single-cell RNA sequencing (
scRNA-seq), large volumes of
214 the advancement of new technologies, such as
single-cell RNA sequencing (
scRNA-seq), there is a need
215 Using
single-cell RNA sequencing (
scRNA-seq), we have identifi
216 in gene expression values, as determined by
single-cell RNA sequencing (
scRNA-seq).
217 c devices have become widely used to perform
single-cell RNA sequencing (
scRNA-seq).
218 Single-cell RNA-sequencing (
scRNA-seq) allows us to diss
219 Single-cell RNA-sequencing (
scRNA-seq) analysis demonstr
220 Using
single-cell RNA-sequencing (
scRNA-seq) and genetic repor
221 Methods to deconvolve
single-cell RNA-sequencing (
scRNA-seq) data are necessar
222 riate ways to measure the similarity between
single-cell RNA-sequencing (
scRNA-seq) data are ubiquito
223 To process large-scale
single-cell RNA-sequencing (
scRNA-seq) data effectively
224 Here, we integrated recently published
single-cell RNA-sequencing (
scRNA-seq) data from 727 per
225 Normalization of
single-cell RNA-sequencing (
scRNA-seq) data is a prerequ
226 We analyzed previously generated
single-cell RNA-sequencing (
scRNA-seq) data of gastric c
227 orrecting false zeros (known as dropouts) in
single-cell RNA-sequencing (
scRNA-seq) data.
228 leverage human, non-human primate, and mouse
single-cell RNA-sequencing (
scRNA-seq) datasets across h
229 Single-cell RNA-sequencing (
scRNA-seq) enables high-thro
230 ptome map of healthy human IVD by performing
single-cell RNA-sequencing (
scRNA-seq) in primary AF and
231 Single-cell RNA-sequencing (
scRNA-Seq) is a compelling a
232 High-throughput
single-cell RNA-sequencing (
scRNA-seq) methodologies ena
233 Here, we applied
single-cell RNA-sequencing (
scRNA-seq) on >5,400 Toxopla
234 Single-cell RNA-sequencing (
scRNA-seq) represents a powe
235 Single-cell RNA-sequencing (
scRNA-seq) technology enable
236 f the etiology of blinding diseases, we used
single-cell RNA-sequencing (
scRNA-seq) to analyze the tr
237 Here we use
single-cell RNA-sequencing (
scRNA-seq) to build a compre
238 e generated in vitro from hPSCs, we explored
single-cell RNA sequencing (
scRNAseq) in combination wit
239 rise these pathways, we used high-throughput
single-cell RNA sequencing (
scRNAseq).
240 Bulk and
single-cell RNA sequencing show that DRG organoids prese
241 Consistently,
single-cell RNA sequencing showed cerebral atheroscleros
242 Single-cell RNA sequencing showed that SNP-IV induced st
243 To further characterize these E* cells,
single cell RNA-sequencing studies were performed and re
244 Although
single-cell RNA sequencing studies have begun to provide
245 To date,
single-cell RNA-sequencing studies of mammalian embryos
246 High-throughput
single-cell RNA sequencing techniques have emerged as po
247 erage novel glioblastoma organoid models and
single-cell RNA-sequencing technologies to tackle gliobl
248 y, we report how 10x Genomics' droplet-based
single-cell RNA sequencing technology can be modified to
249 Recently, Drop-seq
single-cell RNA sequencing technology for measuring gene
250 Single-cell RNA sequencing technology provides a novel m
251 With the rapid development of
single-cell RNA sequencing technology, it is possible to
252 We use
single cell RNA sequencing to analyze the developmental
253 e combine laser capture micro-dissection and
single cell RNA sequencing to uncover spatially zonated
254 Here, we apply
single-cell RNA sequencing to analyze ependymomas across
255 We used
single-cell RNA sequencing to characterize a patient-der
256 We used
single-cell RNA sequencing to characterize neurogenesis
257 We used
single-cell RNA sequencing to characterize the transcrip
258 We used
single-cell RNA sequencing to create a cell census of th
259 ombine macrophage fate-mapping analysis with
single-cell RNA sequencing to establish their cellular i
260 First, we used
single-cell RNA sequencing to generate a cellular landsc
261 Oguri and colleagues use
single-cell RNA sequencing to identify a beige adipocyte
262 employed stimulus-to-cell-type mapping using
single-cell RNA sequencing to identify the cellular subs
263 To address this challenge, we employ
single-cell RNA sequencing to identify transcriptional s
264 nvariant natural killer T (iNKT) cells using
single-cell RNA sequencing to produce a comprehensive tr
265 We used high-throughput
single-cell RNA sequencing to profile >32,000 ACs from m
266 We used
single-cell RNA sequencing to profile human skeletal mus
267 Here, we use
single-cell RNA sequencing to profile neuronal transcrip
268 Here, we leveraged
single-cell RNA sequencing to profile transcriptional ch
269 cterize the HGSOC ascites ecosystem, we used
single-cell RNA sequencing to profile ~11,000 cells from
270 tes, and we discuss the potential promise of
single-cell RNA sequencing to result in tangible medical
271 We used
single-cell RNA sequencing to study the immunopathogenes
272 Here we perform
single-cell RNA-sequencing to identify all collagen-prod
273 Here, we employed
single-cell RNA-sequencing to interrogate aging-related
274 Here, we used
single-cell RNA-sequencing to profile the blood of peopl
275 25 donors, a pooled experimental design, and
single-cell RNA-sequencing to study population variation
276 Single-cell RNA sequencing uncovered three epicardial su
277 ent changes within basal stem cells.Methods:
Single-cell RNA sequencing was used to map epithelial ce
278 Using
single cell RNA sequencing,
we find that some subsets ar
279 Third, using
single cell RNA-sequencing,
we identify heterogeneity am
280 By custom
single-cell RNA sequencing,
we examine mosaicism with si
281 g a genetic mouse model of spherocytosis and
single-cell RNA sequencing,
we found that erythrophagocy
282 Using
single-cell RNA sequencing,
we found that in GA lesions
283 Using allele-specific
single-cell RNA sequencing,
we here estimate the two noi
284 Using
single-cell RNA sequencing,
we identified 33 transcripto
285 Using
single-cell RNA sequencing,
we identified a rare luminal
286 Through mass cytometry and
single-cell RNA sequencing,
we identified a unique popul
287 Using bulk and
single-cell RNA sequencing,
we identify molecular change
288 Using
single-cell RNA sequencing,
we performed an unbiased exa
289 Here, using
single-cell RNA sequencing,
we profiled the transcriptom
290 Using
single-cell RNA sequencing,
we profiled ~276,000 periphe
291 Using
single-cell RNA sequencing,
we show that Gli1- and Ascl1
292 Using
single-cell RNA sequencing,
we show that these cells are
293 Here, using
single-cell RNA-sequencing,
we reveal a novel role for T
294 Integrated droplet- and plate-based
single-cell RNA sequencing were used in the murine, reve
295 tional contributions of B cells via bulk and
single-cell RNA sequencing,
which demonstrate clonal exp
296 Here, we outline the benefits of
single-cell RNA sequencing while also highlighting the c
297 We performed
single-cell RNA sequencing with capture-based cell ident
298 em cells (PSCs) in vitro and use time-series
single-cell RNA sequencing with lentiviral barcoding to
299 By combining
single-cell RNA-sequencing with bulk RNA-sequencing of N
300 ent innate lymphoid cell-2 cluster links the
single-cell RNA sequencing work to recent flow cytometry