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10.1021/jacs.6b12822 http://scihub22266oqcxt.onion/10.1021/jacs.6b12822 C5364434!5364434 !28135079     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\28135079 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       J+Am+Chem+Soc 2017 ; 139 (11 ): 3920-3929 Nephropedia Template TP {{tp|p=28135079 |t=2017. Categorizing Cells on the Basis of their Chemical Profiles: Progress in Single-Cell Mass Spectrometry |pdf=|usr=}}{{28135079 }} gab.com Text Categorizing Cells on the Basis of their Chemical Profiles: Progress in Single-Cell Mass Spectrometry JO: J Am Chem Soc http://www.kidney.de/pget.php?&tw=1&pmid=28135079 #FOAvip The chemical differences between individual cells within large cellular populations provide unique information on organisms' homeostasis and the development of diseased states. Even genetically identical cell lineages diverge due to local microenvironments and stochastic processes. The minute sample volumes and low abundance of some constituents in cells hinder our understanding of cellular heterogeneity. Although amplification methods facilitate single-cell genomics and transcriptomics, the characterization of metabolites and proteins remains challenging both because of the lack of effective amplification approaches and the wide diversity in cellular constituents. Mass spectrometry has become an enabling technology for the investigation of individual cellular metabolite profiles with its exquisite sensitivity, large dynamic range, and ability to characterize hundreds to thousands of compounds. While advances in instrumentation have improved figures of merit, acquiring measurements at high throughput and sampling from large populations of cells are still not routine. In this Perspective, we highlight the current trends and progress in mass-spectrometry-based analysis of single cells, with a focus on the technologies that will enable the next generation of single-cell measurements. Twit Text FOAVip Categorizing Cells on the Basis of their Chemical Profiles: Progress in Single-Cell Mass Spectrometry ????J Am Chem Soc http://www.kidney.de/pget.php?&tw=1&pmid=28135079 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28135079 #FOAvip English Wikipedia <ref>{{Cite pmid|28135079 }}</ref> Categorizing Cells on the Basis of their Chemical Profiles: Progress in Single-Cell Mass Spectrometry #MMPMID28135079 Comi TJ ; Do TD ; Rubakhin SS ; Sweedler JV J Am Chem Soc 2017[Mar]; 139 (11 ): 3920-3929 PMID28135079 show ga The chemical differences between individual cells within large cellular populations provide unique information on organisms' homeostasis and the development of diseased states. Even genetically identical cell lineages diverge due to local microenvironments and stochastic processes. The minute sample volumes and low abundance of some constituents in cells hinder our understanding of cellular heterogeneity. Although amplification methods facilitate single-cell genomics and transcriptomics, the characterization of metabolites and proteins remains challenging both because of the lack of effective amplification approaches and the wide diversity in cellular constituents. Mass spectrometry has become an enabling technology for the investigation of individual cellular metabolite profiles with its exquisite sensitivity, large dynamic range, and ability to characterize hundreds to thousands of compounds. While advances in instrumentation have improved figures of merit, acquiring measurements at high throughput and sampling from large populations of cells are still not routine. In this Perspective, we highlight the current trends and progress in mass-spectrometry-based analysis of single cells, with a focus on the technologies that will enable the next generation of single-cell measurements. |*Single-Cell Analysis [MESH] |Humans [MESH]Categorizing Cells on the Basis of their Chemical Profiles: Progress i(epmc).pdf DeepDyve Pubget Overpricing