ライフサイエンスコーパス: single-cell RNA sequencing

1 sing time-lapse imaging, immunostaining, and single-cell RNA sequencing.

2 p neuronal identities in the hypothalamus by single-cell RNA sequencing.

3 xposure to light, we applied high-throughput single-cell RNA sequencing.

4 visual cortex, in adult mice on the basis of single-cell RNA sequencing.

5 scriptomic level and epigenomic level and by single-cell RNA sequencing.

6 e of single-cell genomic tools, specifically single-cell RNA-sequencing.

7 cells and in an ex vivo Th1 malaria model by single-cell RNA-sequencing.

8 Wholemount in Situ Hybridizations (WiSH) and single-cell RNA-sequencing.

9 Single-cell RNA sequencing allows the comparison of expr

10 ent reporter of bacterial cell division with single-cell RNA-sequencing analysis to study the macroph

11 Lastly, most single-cell RNA-sequencing analytic approaches are not d

12 Here, the authors report single cell RNA sequencing and unbiased transcriptome an

13 Here, we integrate single-cell RNA sequencing and clonal analyses to reveal

14 Single-cell RNA sequencing and imaging revealed co-activ

15 High-throughput single-cell RNA sequencing and multiplexed quantitative

16 Here we used single-cell RNA sequencing and obtained evidence of nume

17 Here we integrate single-cell RNA sequencing and robust statistical analys

18 We use single-cell RNA sequencing and signaling lineage reporte

19 Recent advances such as massively parallel single-cell RNA sequencing and sophisticated computation

20 We used single-cell RNA sequencing and TCR alphabeta-chain usage

21 electrophysiological patch-clamp recordings, single-cell RNA-sequencing and morphological characteriz

22 Finally, via single-cell RNA-sequencing and real-time -polymerase cha

23 cterization using high-content cytometry and single cell RNA sequencing, and present strategies for s

24 we applied a combination of lineage tracing, single-cell RNA sequencing, and marker analysis to test

25 We used genetic lineage tracing, single-cell RNA sequencing, and organoid culture approac

26 ges that underlie this process, we applied a single-cell RNA-sequencing approach and analyzed individ

27 However, current single-cell RNA-sequencing approaches lack the sensitivi

28 e-series global transcriptomic profiling and single-cell RNA sequencing as they moved through the ear

29 Here we use single-cell RNA sequencing at multiple time points to di

30 , we profiled mouse lung-resident ILCs using single-cell RNA sequencing at steady state and after in

31 Using single-cell RNA sequencing, Avraham et al. investigate h

32 Massively parallel single-cell RNA sequencing can precisely resolve cellula

33 Here we use single-cell RNA sequencing coupled with a new analytic t

34 cripts is reliable enough for routine use in single-cell RNA sequencing data analyses.

35 chastic neighbor embedding and clustering of single-cell RNA sequencing data from six biopsy samples

36 Normalization of single-cell RNA sequencing data is necessary to eliminat

37 .g., in liver), on single-cell resolution.In single-cell RNA sequencing data of heterogeneous cell po

38 l (3D) conformation of chromosome (Hi-C) and single-cell RNA sequencing data together with discrete s

39 ver buds against fetal and adult human liver single-cell RNA sequencing data, and find a striking cor

40 ression profiles (RGEPs) from tumour-derived single-cell RNA sequencing data.

41 rent literature on computational analysis of single-cell RNA-sequencing data and discuss underlying a

42 Single-cell RNA-sequencing data provide a unique view of

43 states derived from bulk ChIP-seq data with single-cell RNA-sequencing data.

44 Detailed mechanistic analysis using single-cell RNA sequencing demonstrated that anti-CD27 s

45 Droplet single-cell RNA-sequencing (dscRNA-seq) has enabled rapi

46 Single-cell RNA sequencing during lineage segregation re

47 We present high quality deep read-depth single-cell RNA sequencing for 91 cells from five mouse

48 Immunofluorescence and single-cell RNA sequencing found CD115+ and CCR2+ monocy

49 Single cell RNA sequencing has emerged as a powerful too

50 Here, we review how single-cell RNA sequencing has provided key insights int

51 Single-cell RNA sequencing has recently emerged as a pow

52 High-throughput single-cell RNA sequencing has transformed our understan

53 Single-cell RNA sequencing identified meningeal cells wi

54 anslating ribosome affinity purification and single-cell RNA sequencing identify candidate markers fo

55 ar genes and downregulates ovarian genes and single-cell RNA sequencing in transdifferentiating cells

56 Through single-cell RNA-sequencing, inter-cell transcript expres

57 mor nuclei in frozen archival tissue samples.Single cell RNA sequencing is a powerful tool for unders

58 Single-cell RNA sequencing is greatly accelerating such

59 careful analysis is required in order to use single-cell RNA-sequencing measurements for this purpose

60 expression-magnitude distortions typical of single-cell RNA-sequencing measurements, which enables d

61 Here, we introduce a single-cell RNA-sequencing method, scDual-Seq, that simu

62 e characteristics and limitations in current single-cell RNA-sequencing methodology, we introduce an

63 Already, single-cell RNA-sequencing methods have revealed new bio

64 Here, we report single cell RNA sequencing of geniculate ganglion neuron

65 Here, we report single cell RNA-sequencing of mESCs cultured in three di

66 emporal developmental programs, we performed single-cell RNA sequencing of >1,200 murine cells isolat

67 Single-cell RNA sequencing of ALA reveals that the most

68 We combine single-cell RNA sequencing of embryonic mouse endothelia

69 Single-cell RNA sequencing of epidermal progenitors reve

70 ngs in a distant vertebrate species, we used single-cell RNA sequencing of lck:GFP cells in zebrafish

71 Here we use highly parallel, single-cell RNA sequencing of malaria cultures undergoin

72 aging affects transcriptional dynamics using single-cell RNA sequencing of unstimulated and stimulate

73 Here, single-cell RNA-sequencing of 115 muscle cells from dist

74 We perform ex vivo single-cell RNA-sequencing of CD4+ T cells during a mous

75 tal insights into early human development by single-cell RNA-sequencing of human and mouse preimplant

76 We perform single-cell RNA-sequencing of human gliomas and identify

77 Single-cell RNA sequencing offers a promising opportunit

78 We used single cell RNA sequencing on 466 cells to capture the c

79 We then used single cell RNA sequencing on fetal human cortical neuro

80 ented here demonstrates the applicability of single cell RNA sequencing on the study of the adult hum

81 Here, we perform deep single-cell RNA sequencing on 5,063 single T cells isola

82 We performed single-cell RNA sequencing on 5072 cells of the oligoden

83 We performed single-cell RNA sequencing on the mouse embryonic medial

84 To test this, we developed single-cell RNA sequencing procedures for identifying TC

85 ling the transcriptomes of individual cells, single-cell RNA sequencing provides unparalleled resolut

86 mesoderm of gastrulating mouse embryos using single-cell RNA sequencing, representing the first trans

87 Although single-cell RNA sequencing represents a transformational

88 However, bulk and single-cell RNA sequencing reveal acquisition of maligna

89 Serial single-cell RNA sequencing reveals an expression pattern

90 Here, we use single-cell RNA sequencing (RNA-seq) analysis to show th

91 Here, we develop Perturb-seq, combining single-cell RNA sequencing (RNA-seq) and clustered regul

92 results demonstrate the feasibility of using single-cell RNA sequencing (RNA-seq) data from primary c

93 Here, we use both published and novel single-cell RNA sequencing (RNA-seq) data to understand

94 Using unbiased single-cell RNA sequencing (RNA-seq) of 2400 cells, we

95 We used microfluidic single-cell RNA sequencing (RNA-seq) on 198 individual c

96 cover population heterogeneity, we performed single-cell RNA sequencing (RNA-seq) on islets from mult

97 ase (IDH)-mutant gliomas by combining 14,226 single-cell RNA sequencing (RNA-seq) profiles from 16 pa

98 Population and single-cell RNA sequencing (RNA-seq) profiling combined

99 Single-cell RNA sequencing (RNA-Seq) provides rich infor

100 Single-cell RNA sequencing (RNA-seq) reveals enrichment

101 Single-cell RNA sequencing (RNA-seq) technology is hitti

102 otypic states of melanoma tumors, we applied single-cell RNA sequencing (RNA-seq) to 4645 single cell

103 cell types, and yet limited work has linked single-cell RNA sequencing (RNA-seq) to phenotypes of in

104 We used single-cell RNA sequencing (RNA-seq) to profile 430 cell

105 Using single-cell RNA sequencing (RNA-seq), we examine the int

106 g of cell fate has been advanced by studying single-cell RNA-sequencing (RNA-seq) but is limited by t

107 We established single-cell RNA-sequencing (RNA-Seq) profiles of 77 inta

108 of genes involved in cell adhesion, and used single-cell RNA sequencing (RNAseq) to analyze their exp

109 nd transformation method for the analysis of single cell RNA sequencing (scRNA-seq) data.

110 Single cell RNA-sequencing (scRNA-seq) can allow simulta

111 Single-cell RNA sequencing (scRNA-seq) can be used to ch

112 Single-cell RNA sequencing (scRNA-seq) has become an est

113 Single-cell RNA sequencing (scRNA-seq) has broad applica

114 Single-cell RNA sequencing (scRNA-seq) is increasingly u

115 Current single-cell RNA sequencing (scRNA-seq) protocols are com

116 Here we use single-cell RNA sequencing (scRNA-seq) to dissect and co

117 loped an innovative approach that integrates single-cell RNA sequencing (scRNA-seq) with the shRNA sc

118 omputational analysis methods, especially in single-cell RNA sequencing (scRNA-seq), have already beg

119 Single-cell RNA-sequencing (scRNA-seq) allows studying h

120 In this study, we performed single-cell RNA-sequencing (scRNA-seq) analysis of mouse

121 Single-cell RNA-sequencing (scRNA-seq) facilitates ident

122 Single-cell RNA-sequencing (scRNA-seq) has emerged as a

123 Single-cell RNA-Sequencing (scRNA-Seq) is a revolutionar

124 Here, we used single-cell RNA-sequencing (scRNA-seq) of developing neu

125 Here, using single-cell RNA-sequencing (scRNA-seq) of mouse bone mar

126 Recent advances in single-cell RNA-sequencing (scRNA-seq) technology increa

127 h-clamp recording, immunohistochemistry, and single-cell RNA-sequencing (scRNA-seq) to comprehensivel

128 cell-derived lineage-specific progenitors by single-cell RNA-sequencing (scRNA-seq).

129 Single cell RNA sequencing (scRNAseq) technique is becom

130 Fate-mapping and single-cell RNA sequencing studies also showed that M2-l

131 Technical variation must be considered in single-cell RNA-sequencing studies of expression variati

132 Single-cell RNA-sequencing technology allows detection o

133 We used single-cell RNA sequencing to characterize the expressio

134 We applied single-cell RNA sequencing to compare two motor neuron d

135 Here we report the use of single-cell RNA sequencing to determine the gene express

136 SNr neurons maintain tonic activity, we used single-cell RNA sequencing to determine the transcriptom

137 ll sorting and performed high-depth bulk and single-cell RNA sequencing to directly compare them to p

138 We performed single-cell RNA sequencing to examine ventral midbrain d

139 Here we use single-cell RNA sequencing to investigate heterogeneity

140 (2016) use human neural stem cell models and single-cell RNA sequencing to investigate Zika virus tro

141 Here we used single-cell RNA sequencing to overcome this limitation a

142 Here, we have used single-cell RNA sequencing to profile more than 1600 sin

143 To investigate this, we used single-cell RNA sequencing to quantify transcript hetero

144 Here we use single-cell RNA sequencing to reconstruct hepatocyte-lik

145 study, we combine novel mouse reporters and single-cell RNA sequencing to reveal the heterogeneity i

146 e approaches and provide recommendations for single-cell RNA sequencing users.

147 Using single-cell RNA sequencing, we comprehensively character

148 Analyzing digested normal human skin by single-cell RNA sequencing, we explored different fibrob

149 Using single-cell RNA-sequencing, we found that the number of

150 ntify the spatial origin of cells assayed by single-cell RNA-sequencing within a tissue of interest.