1 cyte-derived macrophages and microglia using
RNA sequencing.
2 ns in the nucleus accumbens were measured by
RNA sequencing.
3 biota data were obtained using 16S ribosomal
RNA sequencing.
4 ene expression transcriptome was obtained by
RNA sequencing.
5 The transcriptome was analyzed using
RNA sequencing.
6 tic expression of neurons as demonstrated by
RNA Sequencing.
7 dels and from the perspective of single-cell
RNA sequencing.
8 tages by using a personal genome machine and
RNA sequencing.
9 ell surface-expressed genes in human ILCs by
RNA sequencing.
10 to interrogate the embryo using single cell
RNA sequencing.
11 fects in KID-KCs, as detected by genome-wide
RNA sequencing.
12 with the depth and resolution of single-cell
RNA sequencing.
13 solated by laser-capture microdissection for
RNA sequencing.
14 Single-cell
RNA sequencing (
10x Genomics, Pleasanton, Calif) was uti
15 ifications using RNA-immunoprecipitation and
RNA sequencing (
8-oxoG RIP-seq) to identify 343 RNA tran
16 Single-cell
RNA sequencing analyses detected activated B cells, germ
17 Bulk
RNA sequencing analyses revealed that the sonoselective
18 By combining dual
RNA-sequencing analyses and cell imaging, we show that t
19 Mechanistically, single-cell
RNA-sequencing analyses of a mesenchymal niche model sho
20 Our comprehensive
RNA sequencing analysis in Arabidopsis (Arabidopsis thal
21 Here,
RNA sequencing analysis of circRNAs differentially expre
22 RNA sequencing analysis of lungs from prenatally stresse
23 Our
RNA sequencing analysis of mouse PROM1(+) cells, reveals
24 Further,
RNA sequencing analysis revealed altered gene expression
25 RNA sequencing analysis showed a robust enrichment of My
26 RNA-sequencing analysis following deregulation of lncRNA
27 Furthermore,
RNA-sequencing analysis identified systematic down-regul
28 More importantly, single-cell
RNA-sequencing analysis illustrated that vOrganoids exhi
29 We also performed
RNA-sequencing analysis in JAB1-knockdown OS cells and i
30 An unbiased
RNA-sequencing analysis of 207 donors revealed an unprec
31 Here, through single cell
RNA-sequencing analysis of the tracheal epithelium from
32 RNA-sequencing analysis revealed that UAB126 regulates t
33 ortas was recently analyzed in 9 single-cell
RNA sequencing and 2 mass cytometry studies.
34 Single-cell
RNA sequencing and analytical approaches have explored t
35 We used a combination of
RNA sequencing and biochemical approaches to assess cate
36 We applied single-cell
RNA sequencing and computational modelling to track memo
37 Single-cell
RNA sequencing and direct comparison to fetal specimens
38 Combined in vivo
RNA sequencing and drop-out screening identified secrete
39 Using
RNA sequencing and drug screening, we find that treatmen
40 Using single-cell
RNA sequencing and epigenetic profiling, we demonstrate
41 Using single-cell
RNA sequencing and flow cytometry, we found that miR-155
42 senteric lymph node tissues were analyzed by
RNA sequencing and flow cytometry.
43 veolar compartment as defined by single-cell
RNA sequencing and fluorescence as well as electron micr
44 Finally, we highlight the utility of
RNA sequencing and genetic tools in uncovering RGC type-
45 Using single cells
RNA sequencing and high-dimensional flow cytometry, we d
46 chemical modifications with direct long-read
RNA sequencing and machine learning to detect secondary
47 o gain insights on these mechanisms and used
RNA sequencing and Multidimensional Protein Identificati
48 tatic cells during seeding using single-cell
RNA sequencing and patient-derived-xenograft models of b
49 RNA sequencing and quantitative real-time PCR analysis w
50 of G12D and G12V mice were identified using
RNA sequencing and reverse-phase protein array analyses.
51 Mechanistically, unbiased
RNA sequencing and single-cell sequencing revealed that
52 Using single-cell
RNA sequencing and synovial tissue organoids, we found t
53 ion process allows for highly accurate small
RNA sequencing and will enable studies of 2'OMe modified
54 combine two novel technologies, single-cell
RNA-sequencing and CRISPR-Cas9 barcode editing for eluci
55 Here, we used
RNA-sequencing and metabolomics to examine early glaucom
56 RNA-sequencing and stem cell pathway real-time RT-PCR an
57 us infection-related genes using microarray,
RNA sequencing,
and 10x single-cell transcriptome analys
58 unoprecipitation sequencing (ChIP-seq), bulk
RNA sequencing,
and an innovative dual lineage tracing m
59 Samples were analyzed by 16S ribosomal
RNA sequencing,
and diet-related metabolites were measur
60 rallel analysis of RNA ends/degradome reads,
RNA sequencing,
and even chromatin immunoprecipitation s
61 th chromatin immunoprecipitation sequencing,
RNA sequencing,
and expression quantitative trait loci d
62 II proteins, timed AID deletion, single-cell
RNA sequencing,
and lineage tracing experiments point to
63 Proteomic data,
RNA sequencing,
and pathway analysis on predicted and va
64 aPC generation, analyzed gene expression by
RNA sequencing,
and performed immunoblotting and ELISA.
65 Samples underwent small
RNA sequencing,
and read counts were normalized and filt
66 normal lung biopsies, using immunostaining,
RNA sequencing,
and RT-PCR.
67 MCH neurons after long-term withdrawal using
RNA-sequencing,
and performed functional assessment usin
68 ) and explored the molecular mechanism using
RNA-sequencing assay.
69 We performed
RNA sequencing at days 8 and 28 on SACC-PHHs, either HBV
70 Here we describe barcodelet single-cell
RNA sequencing (
barRNA-seq), which enables systematic ex
71 Integration with
RNA-Sequencing-
based developmental mRNA-abundance profil
72 annotations; (2) a large-scale M. truncatula
RNA-sequencing-
based gene expression atlas integrated wi
73 The Plant Single Cell
RNA-Sequencing Browser, with its comprehensive visualiza
74 Full transcript length single-cell
RNA sequencing characterized the transcriptomes of 544 i
75 me-wide transcriptome analysis determined by
RNA-sequencing combined with chromatin immunoprecipitati
76 port for the first time in-depth single-cell
RNA sequencing,
combined with spatial transcriptomics an
77 RNA sequencing conducted on PCs demonstrated that LCDD L
78 Single-cell
RNA sequencing confirms the accumulation of T cells and
79 Using single-cell
RNA sequencing coupled with high-resolution in situ hybr
80 ioma therapy using live imaging, single cell
RNA sequencing,
CRISPR interference, and pharmacology.
81 thematosus lesional skin microarray data and
RNA sequencing data from SLE keratinocytes identified re
82 s of EC specificity, we analyzed single-cell
RNA sequencing data from tissue-specific mouse ECs gener
83 We used single-cell
RNA sequencing data generated by the Tabula Muris consor
84 Bioinformatics analysis of
RNA sequencing data identifies non-productive splicing e
85 of medically important mites based on total
RNA sequencing data sets generated in this study as well
86 we integrated NDD genetics with single-cell
RNA sequencing data to assess coexpression enrichment pa
87 re analyzed and categorized with single-cell
RNA sequencing data to perform cluster identification.
88 the integrative analysis of our single-cell
RNA sequencing data with publicly available data from ge
89 Using our previously obtained
RNA sequencing data, we found that AHR mediates the expr
90 scriptomic landscape of single cell and bulk
RNA sequencing data.
91 ization of mitochondrial genomes and related
RNA sequencing data.
92 RNA-sequencing data analysis shows that Lbs are expresse
93 s with human idiopathic ASD postmortem brain
RNA-sequencing data and found significant enrichment of
94 user-friendly platform that can process raw
RNA-sequencing data from any organism with an existing r
95 itative PCR and also analyzed in single-cell
RNA-sequencing data from control and IPF lungs.Measureme
96 viral entry-associated genes in single-cell
RNA-sequencing data from multiple tissues from healthy h
97 In total,
RNA-sequencing data of 332 samples were used for this an
98 By integrating single-cell
RNA-sequencing data of mouse hearts at multiple postnata
99 Using simulated and experimental
RNA-sequencing data sets, we show that GSECA provides hi
100 Our single-cell
RNA-sequencing data showed that EMP-derived osteoclast p
101 We then collected
RNA-sequencing data to assess how organismal thermal str
102 DNA- and
RNA-sequencing data were integrated to assess the effect
103 r cells, process and analyze high-throughput
RNA-sequencing data, and define sets of genes that accur
104 ession from different tissues in single-cell
RNA-sequencing data.
105 computational demultiplexing of single-cell
RNA-sequencing data.
106 functional studies and human single-cell (sc)
RNA-sequencing data.
107 whereas analysis of a gain-of-function ETV1
RNA sequencing dataset from neonatal rat ventricular myo
108 CaSpER increases the utility of
RNA-sequencing datasets and complements other tools for
109 recent years, large amount of microarray and
RNA-Sequencing datasets have been collected, however few
110 tionally, through integrating proteomics and
RNA-sequencing datasets, we identified a subset of genes
111 Bulk and single-cell
RNA sequencing demonstrated that different degrees of ac
112 RNA sequencing demonstrated the presence of multiple miR
113 RNA-sequencing demonstrated Acod1 (Aconitate decarboxyla
114 nuclei sequencing revealed that conventional
RNA sequencing did not detect up to two-thirds of cell-t
115 Here, we performed Direct
RNA Sequencing (
DRS) using the latest Oxford Nanopore Te
116 and quantify the genes and transcripts in an
RNA sequencing experiment.
117 lying question for virtually all single-cell
RNA sequencing experiments is how to allocate the limite
118 ulates 42 SCZ-related genes in knockdown and
RNA-sequencing experiments of human neural progenitor ce
119 f samples typically generated by single-cell
RNA-sequencing experiments.
120 nt component analysis to a compendium of 108
RNA-sequencing expression profiles from two S. aureus cl
121 Here, we integrate SVs with
RNA-sequencing from human post-mortem brains to quantify
122 RNA-sequencing from post-mortem AD human brains shows do
123 Single-cell
RNA sequencing has emerged as a powerful tool for charac
124 ional cellular analyses, such as single-cell
RNA sequencing,
has enabled detailed characterization of
125 Advances in small
RNA sequencing have revealed the enormous diversity of s
126 Recent advances in single-cell
RNA sequencing have revealed transcriptional differences
127 Single-cell
RNA sequencing identified 16 cell clusters, including ga
128 ured with full transcript length single-cell
RNA sequencing identified each cell type.
129 Surprisingly, single-cell
RNA-Sequencing implicated glia, not neurons, in this eff
130 Here, using single-cell
RNA sequencing in human and mouse non-small-cell lung ca
131 Single-cell
RNA sequencing in mouse spleen and human peripheral bloo
132 l sample multiplexing method for single-cell
RNA sequencing in which fixed cells are chemically label
133 Advances in single-cell
RNA-sequencing make it possible to infer latent developm
134 ith further validation, ColoType by targeted
RNA-sequencing,
may enable clinical application of CMS s
135 s fluctuation analysis with population-based
RNA sequencing (
MemorySeq) for identifying genes transcr
136 Integrated
RNA sequencing,
metabolomics, and molecular analyses sho
137 We addressed this using
RNA sequencing metagenomics(4-6) of placental samples fr
138 e candidates, based on whole-genome and iPSC
RNA sequencing of a HLHS family-trio.
139 We performed a gene expression study using
RNA sequencing of CNON cells from 111 control subjects a
140 transcript abundances were determined using
RNA sequencing of developing wood tissues from upright t
141 gene expression associated with CUD by using
RNA sequencing of dorsal-lateral prefrontal cortex neuro
142 Single-cell
RNA sequencing of five TNBCs revealed two cancer-associa
143 RNA sequencing of freshly isolated CTCs from breast canc
144 At the molecular level,
RNA sequencing of HF cardiac fibroblasts highlighted the
145 We performed single-cell
RNA sequencing of human eyelid skin from healthy individ
146 ecording, biocytin staining, and single-cell
RNA sequencing of more than 1,300 neurons in adult mouse
147 RNA sequencing of morphologically distinct macrophages i
148 so analyzed data from a study of single-cell
RNA sequencing of mouse cortical neurons.
149 In this report, we present single-cell
RNA sequencing of over 38,000 cells from mouse digit tip
150 ng disease.Methods: We performed single-cell
RNA sequencing of sputum cells from nine subjects with C
151 Single-cell
RNA sequencing of the immune compartment showed that IL8
152 eurogenesis, we have carried out single cell
RNA sequencing of the zebrafish hindbrain at three diffe
153 Single-cell
RNA sequencing of vascular cells in mice suggested that
154 Through
RNA-sequencing of 100,987 individual cells from 7 primar
155 Single cell
RNA-sequencing of activated B cells and construction of
156 RNA-sequencing of axillary nodes from StMSI1-OE and StBM
157 osteoclast ablation by denosumab (DMAb) and
RNA-sequencing of bone biopsies from postmenopausal wome
158 RNA-sequencing of DAC-treated tumors revealed increased
159 Single-cell
RNA-sequencing of eight post-treatment samples demonstra
160 RNA-sequencing of MBC subsets from multiple tissues reve
161 mbining single-cell RNA-sequencing with bulk
RNA-sequencing of Nkx2-1 mutants and NKX2-1 ChIP-sequenc
162 ouse brain in utero, followed by single-cell
RNA-sequencing of perturbed cells in the postnatal brain
163 Single-cell
RNA-sequencing of plaque immune cells revealed that unli
164 RNA-sequencing of the hippocampus revealed that stress i
165 RNA sequencing on anterior and posterior tissues isolate
166 tudied in an unbiased manner via single-cell
RNA sequencing on HLA-DR(+) cells sorted from human lung
167 tophagy pathway, and apoptosis-and performed
RNA sequencing on isogenic lines to identify differentia
168 We performed small-
RNA sequencing on liver of Tsc1-knockout mice, and found
169 RNA sequencing on the intratumoral CD8(+) T cells identi
170 rtant knowledge gaps, we perform single-cell
RNA sequencing on two-day old schistosomula of Schistoso
171 ssion problem, and have generated high depth
RNA-sequencing on FUS mutants in parallel to FUS knockou
172 RNA sequencing performed on the same heart samples prove
173 , and independent datasets of small and long
RNA sequencing pinpointed immune cell subsets pivotal to
174 ased proteomics with next-generation DNA and
RNA sequencing profiles tumors more comprehensively.
175 circulating T(FH) cell and activated B cell
RNA-sequencing profiles identified highly coordinated tr
176 RNA sequencing profiling identified integrin-linked kina
177 and beta-catenin in hepatocytes, followed by
RNA-sequencing profiling, allowed the identification of
178 y integrating CRISPR screens and single-cell
RNA-sequencing profiling, we have uncovered transcriptio
179 n-tissue-targeted or non-condition-optimized
RNA-sequencing projects.
180 ocessing data from droplet-based single-cell
RNA sequencing protocols is distinguishing barcodes asso
181 We innovated single-nucleus
RNA-sequencing protocols and profiled more than 120,000
182 Single-nucleus
RNA sequencing provides an alternative way to obtain tra
183 Single-cell
RNA sequencing revealed a distinct gene expression signa
184 RNA sequencing revealed a role for mumR in regulating th
185 Single-cell
RNA sequencing revealed remarkable similarity of transcr
186 Microarray analysis and single-cell
RNA sequencing revealed that a number of cytokine-induci
187 tracing of mature adipocytes and single-cell
RNA sequencing revealed that dermal adipocytes alter the
188 Single-cell
RNA sequencing revealed that epidermal developmental pro
189 Mechanistically,
RNA sequencing revealed that RvD1 induces a transcriptio
190 RNA-sequencing revealed differential expression of known
191 RNA-sequencing revealed extensive gene expression and AS
192 Single-cell
RNA-sequencing revealed that Ang2 blocking rescued radia
193 a postrema cell atlas through single-nucleus
RNA sequencing,
revealing a few neuron types.
194 RNA sequencing reveals downregulation of several postrec
195 Tandem mass tag-pulse SILAC (TMT-pSILAC) and
RNA sequencing reveals that each RBP controls a unique b
196 Single-cell
RNA-sequencing,
ribosome-associated mRNA profiling and c
197 of circRNAs in the p53 pathway, we analyzed
RNA sequencing (
RNA-seq) data from colorectal cancer cel
198 Previous analysis of
RNA sequencing (
RNA-seq) data from human naive pluripote
199 satisfactorily, especially with single-cell
RNA sequencing (
RNA-seq) data.
200 independent AD brain repositories using (1)
RNA sequencing (
RNA-seq) datasets and (2) DNA samples ex
201 Performing single-cell
RNA sequencing (
RNA-seq) of 179,632 cells across 23 tera
202 Current approaches to single-cell
RNA sequencing (
RNA-seq) provide only limited informatio
203 in the middle/inner ears utilizing otoscopy,
RNA sequencing (
RNA-seq), and histopathological analysis
204 Using single-cell and bulk
RNA sequencing (
RNA-seq), the authors compared DMD and c
205 As determined by
RNA sequencing (
RNA-Seq), this low amount of IgHC suffic
206 Whole-transcriptome sequencing by
RNA sequencing (
RNA-Seq), with appropriate bioinformatic
207 eumatoid arthritis to allow for longitudinal
RNA sequencing (
RNA-seq).
208 fluorescence activated cell sorting for bulk
RNA sequencing (
RNA-Seq).
209 Recent studies have shown that
RNA-sequencing (
RNA-seq) can be used to measure mRNA of
210 RNA-sequencing (
RNA-seq) data enable the quantification
211 genetically regulated expression solely from
RNA-sequencing (
RNA-seq) datasets.
212 RNA-sequencing (
RNA-seq) enables global identification o
213 o, we compiled a metadataset composed of 876
RNA-sequencing (
RNA-Seq) samples from five publicly avai
214 ogy, immunohistochemistry, and (single-cell)
RNA sequencing;
RNA and proteins were identified by imag
215 Here, we use
RNA sequencing (
RNAseq) to compare tissue from individua
216 d on four large datasets with a total of 226
RNA sequencing samples from S. spontaneum and Saccharum
217 RNA-sequencing screening coupled with gene silencing stu
218 RNA-sequencing screening for factors induced by activati
219 ion, we employed a droplet-based single-cell
RNA sequencing (
scRNA-seq) approach to systematically cl
220 tion of putative cell types from single-cell
RNA sequencing (
scRNA-seq) data.
221 The development of single-cell
RNA sequencing (
scRNA-seq) has allowed high-resolution a
222 Single-cell
RNA sequencing (
scRNA-seq) has enabled the simultaneous
223 Although single-cell
RNA sequencing (
scRNA-seq) has revolutionized studies of
224 Single-cell
RNA sequencing (
scRNA-Seq) indicated that SLC26A9 is pre
225 Single-cell
RNA sequencing (
scRNA-seq) is a popular and powerful tec
226 Progress in single-cell
RNA sequencing (
scRNA-seq) provides an opportunity to di
227 Single-cell
RNA sequencing (
scRNA-seq) technologies enable the study
228 Here, we employed single-cell
RNA sequencing (
scRNA-seq) to examine the immature postn
229 , integration site analysis, and single-cell
RNA sequencing (
scRNA-seq) to profile CD8(+) CAR-T cells
230 analytical approach by combining single-cell
RNA sequencing (
scRNA-seq) with Raman optical tweezers (
231 We performed single-cell
RNA sequencing (
scRNA-seq) with the clinically relevant
232 With the advent of single-cell
RNA sequencing (
scRNA-seq), it is in principle possible
233 Using single-cell
RNA sequencing (
scRNA-seq), we have identified a populat
234 ve become widely used to perform single-cell
RNA sequencing (
scRNA-seq).
235 Single-cell
RNA-sequencing (
scRNA-seq) allows us to dissect transcri
236 Using single-cell
RNA-sequencing (
scRNA-seq) and genetic reporter mice, we
237 o measure the similarity between single-cell
RNA-sequencing (
scRNA-seq) data are ubiquitous in bioinf
238 To process large-scale single-cell
RNA-sequencing (
scRNA-seq) data effectively without exce
239 we integrated recently published single-cell
RNA-sequencing (
scRNA-seq) data from 727 peripheral and
240 We analyzed previously generated single-cell
RNA-sequencing (
scRNA-seq) data of gastric corpus epithe
241 an, non-human primate, and mouse single-cell
RNA-sequencing (
scRNA-seq) datasets across health and di
242 Single-cell
RNA-sequencing (
scRNA-seq) enables high-throughput measu
243 Here, we applied single-cell
RNA-sequencing (
scRNA-seq) on >5,400 Toxoplasma in both
244 gy of blinding diseases, we used single-cell
RNA-sequencing (
scRNA-seq) to analyze the transcriptomes
245 Genome-wide
RNA-sequencing (
seq) studies reveal that BCL6 regulates
246 Consistently, single-cell
RNA sequencing showed cerebral atherosclerosis associate
247 Single-cell
RNA sequencing showed that SNP-IV induced stem-like gene
248 We performed small-
RNA sequencing (
smRNA-Seq) and quantitative proteomics o
249 Single-nucleus
RNA sequencing (
snRNA-seq) measures gene expression in i
250 , we performed droplet-based, single-nucleus
RNA sequencing (
snRNA-seq) of A1 across three developmen
251 Although single-cell
RNA sequencing studies have begun to provide compendia o
252 Finally,
RNA sequencing studies of HEV-infected primary human hep
253 Chromatin immunoprecipitation sequencing and
RNA sequencing studies of S180A knock-in cells demonstra
254 Recent
RNA-sequencing studies have defined a molecular signatur
255 glioblastoma organoid models and single-cell
RNA-sequencing technologies to tackle glioblastoma's het
256 However, most of the current '
RNA-sequencing'
technologies produce a relatively short
257 Recently, Drop-seq single-cell
RNA sequencing technology for measuring gene expression
258 measured serum levels of 2,083 miRNAs, using
RNA sequencing technology, in fasting samples from the b
259 With the rapid development of single-cell
RNA sequencing technology, it is possible to dissect cel
260 In particular, advances in
RNA-Sequencing technology and analysis has led to a wave
261 Finally, we demonstrate, using
RNA sequencing,
that TDP-43 OE and KD cause similar chan
262 Here, we used
RNA sequencing to analyse differentially expressed genes
263 Finally, we used
RNA sequencing to analyze the genomic signatures of pros
264 We applied nanopore-based direct
RNA sequencing to characterize the developmental polyade
265 We used single-cell
RNA sequencing to characterize the transcriptome of midg
266 We use capped-nascent-
RNA sequencing to efficiently capture bidirectional tran
267 We adapted nanopore direct
RNA sequencing to examine RNA from a wild-type accession
268 First, we used single-cell
RNA sequencing to generate a cellular landscape of basal
269 g ribosome affinity purification (TRAP) with
RNA sequencing to identify molecular changes in spinal M
270 We used
RNA sequencing to identify the ArlRS regulon, and found
271 mulus-to-cell-type mapping using single-cell
RNA sequencing to identify the cellular substrates that
272 t/young adult males, we used next-generation
RNA sequencing to investigate the gene expression profil
273 ural killer T (iNKT) cells using single-cell
RNA sequencing to produce a comprehensive transcriptiona
274 We used single-cell
RNA sequencing to profile human skeletal muscle tissues
275 e used crosslinking immunoprecipitation- and
RNA-sequencing to identify the AGO1-mediated mechanisms
276 Here, we employed single-cell
RNA-sequencing to interrogate aging-related changes in t
277 Here, we used single-cell
RNA-sequencing to profile the blood of people with sepsi
278 Using
RNA-sequencing transcriptomics we investigated lung gene
279 ng ribosome affinity purification (TRAP) and
RNA sequencing,
TRAP-seq, in larval zebrafish to identif
280 Single-cell
RNA sequencing uncovered three epicardial subpopulations
281 RNA sequencing was performed on strains with deficient o
282 RNA sequencing was performed on transcriptomes isolated
283 within basal stem cells.Methods: Single-cell
RNA sequencing was used to map epithelial cell types of
284 RNA sequencing was used to study the transcriptional pro
285 Molecular profiling (
RNA sequencing)
was used to identify enriched pathways a
286 a combination of untargeted metabolomics and
RNA sequencing,
we discovered a biosynthetic gene cluste
287 By custom single-cell
RNA sequencing,
we examine mosaicism with single-cell re
288 Using single-cell
RNA sequencing,
we found that in GA lesions IFN-gamma pr
289 Using allele-specific single-cell
RNA sequencing,
we here estimate the two noise component
290 Using single-cell
RNA sequencing,
we identified 33 transcriptomic clusters
291 Using bulk and single-cell
RNA sequencing,
we identify molecular changes in the epi
292 Using single-cell
RNA sequencing,
we performed an unbiased examination of
293 Here, using single-cell
RNA sequencing,
we profiled the transcriptomes of cells
294 Using nascent
RNA sequencing,
we show that an AS15 analogue triggers t
295 Using single-cell
RNA sequencing,
we show that these cells are largely act
296 Third, using single cell
RNA-sequencing,
we identify heterogeneity among adhesion
297 egrated droplet- and plate-based single-cell
RNA sequencing were used in the murine, reversible, unil
298 ibutions of B cells via bulk and single-cell
RNA sequencing,
which demonstrate clonal expansion and u
299 of telomeres (ALT)], TERT mRNA expression by
RNA-sequencing,
whole-genome/exome sequencing, and clini
300 By combining single-cell
RNA-sequencing with bulk RNA-sequencing of Nkx2-1 mutant