型号:内详
联系人:李先生
联系电话:18618101725
品牌:1cell
从单个细胞进行高通量,高分辨率的RNA测序。 微流体系统将每个细胞与我们的水凝胶珠共同包裹,以实现条形码cDNA的分离合成。
是wei壹的scRNA-Seq平台,与其他现有平台相比,该平台可提供增强的实验控制,更多可操作的信息以及更低的每结果总成本
可定制的凝胶珠
?每次运行捕获数千个细胞
?封装与细胞大小wu关
?套件包括500,000条带条形码的凝胶微珠
芯片和试剂
?每个套件多达可编码40,000个细胞,每个芯片可编码4个样品
?完集成的仪器和摄像机控制软
A single-cell atlas of the airway epithelium reveals the CFTR-rich pulmonary ionocyte. Plasschaert L. W. et al. Nature 560 377-381 (2018).
Population snapshots predict early haematopoietic and erythroid hierarchies. Tusi B. K. et al. Nature 55554-60 (2018).
Single-Cell Analysis of Experience-Dependent Transcriptomic States in Mouse Visual Cortex. Hrvatin S. et al. Nat Neurosci. 21 120-129 (2018).
Clonal analysis of lineage fate in native hematopoiesis. Rodriguez-Fraticelli A. E. et al. Nature 553 212-216 (2018).
Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment. Azizi, E. et al. Cell 174 1-16 (2018).
Single-cell gene expression reveals a landscape of regulatory T cell phenotypes shaped by the TCR.Zemmour, D. et al. Nature Immunology 19 291-301 (2018).
Single-cell transcriptomics of the developing lateral geniculate nucleus reveals insights into circuit assembly and refinement. Kalish B. T. et al. PNAS online E1051-E1060 (2018).
Unsupervised trajectory analysis of single-cell RNA-seq and imaging data reveals alternate tuft cell origins in the gut. Herring C. A. et al. Cell Syst. 6 37-51 (2018).
Single-Cell Transcriptomics of a Human Kidney Allograft Biopsy Specimen Defines a Diverse Inflammatory Response. Wu H. et al. J Am Soc Nephrol. 29 2069-2080 (2018).
The dynamics of gene expression in vertebrate embryogenesis at single-cell resolution. Briggs J. A. et al. Science 360(6392) (2018).
Haematopoietic stem and progenitor cells from human pluripotent stem cells. Sugimura R. et al. Nature 545 432-438 (2017).
Dissecting hematopoietic and renal cell heterogeneity in adult zebrafish at single cell resolution using RNA sequencing. Tang Q. et al. J. Exp. Med. 214 2875-2887 (2017).
Estimation of immune cell content in tumour tissue using single-cell RNA-seq data. Schelker M. et al. Nat. Comm. 8 8-12 (2017).
Comparative analysis of kidney organoid and adult human kidney single cell and single nucleus transcriptomes. Wu H. et al. bioRxiv doi: http://dx.doi.org/10.1101/232561. (2017).
Mouse embryonic stem cells can differentiate via multiple paths to the same state. Briggs A. A. et al. eLife 6 1-23 (2017).
Single-cell barcoding and sequencing using droplet microfluidics. Zilionis R. et al. Nature Protocols 12 44-73 (2017)
A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure. [Epub ahead of print] PMID: 27667365
Baron M, Veres A, Wolock SL, Faust AL, Gaujoux R, Vetere A, Ryu JH, Wagner BK, Shen-Orr SS, Klein AM, Melton DA, Yanai I.;
Cell Syst. 2016 Sep 21. pii: S2405-4712(16)30266-6. doi:
10.1016/j.cels.2016.08.011.
End Sequence Analysis Toolkit (ESAT) expands the extractable information from single-cell RNA-seq data.
Derr et al.
2016, Genome Research 26(10): 1397-1410. Epub 2016 Jul 28
Droplet Barcoding For Single-Cell Transcriptomics Applied To Embryonic Stem Cells
Klein et al.
2015, Cell 161, 1187-1201
Marrying Microfluidics and Barcoding Technology
Cell, May 21, 2015, 161, Issue 5
Pipeline for processing inDrops sequencing data[GitHub]
Download the inDrop? Single-Cell Reverse Transcription Protocol (version 2.4) [PDF, 1.1 MB]
Download the Training inDrop? Reverse Transcription Protocol (version 2.1) [PDF, 568kB]
Download the inDrop? Library Preparation Protocol (version 2.3) [PDF, 537kB]
Download the Sequencing Guidelines for Libraries (version 2.2) [PDF, 363kB]
Download the Primer Sequences for inDrop? (version 2.0) [PDF, 206kB]
Download the Silanization Protocol (version 4.1)[PDF, 311kB]
Download the Installation and Use guide for the