BioMicroCenter:Caliper LabChip GX: Difference between revisions

From OpenWetWare
Jump to navigationJump to search
no edit summary
No edit summary
Line 1: Line 1:
{{BioMicroCenter}}
{{BioMicroCenter}}


 
== CALIPER LAB CHIP ==
[[Image:Caliper3.jpg|right|200px]]
[[Image:Caliper3.jpg|right|200px]]


Line 11: Line 11:
*Comprehensive and quantitative analysis with LabChip GX software
*Comprehensive and quantitative analysis with LabChip GX software


=== [[BioMicroCenter:Caliper_INFO | Available Analyses]] ===
==[[BioMicroCenter:Caliper_INFO | Available Analyses]] ==
'''HiSens DNA '''
===HiSens DNA===


Sensitivity:
Sensitivity:
Line 24: Line 24:
*200 pg/μL for smears
*200 pg/μL for smears


'''Total RNA '''
===Total RNA===
 
RNA metrics such as peak heights, peak areas, and concentration are used to determine an RQS (RNA Quality Score) number for each sample.  The Caliper RQS is a calculated score that rates the quality of RNA samples. The RQS has been validated to correlate well with Agilent’s RIN (RNA Integrity Number) and follows the same 0-10 scale rating. Results comparing RIN to RQS for the same samples run on both LabChip GX and Agilent’s Bioanalyzer 2100 typically show <10% deviation.
RNA metrics such as peak heights, peak areas, and concentration are used to determine an RQS (RNA Quality Score) number for each sample.  The Caliper RQS is a calculated score that rates the quality of RNA samples. The RQS has been validated to correlate well with Agilent’s RIN (RNA Integrity Number) and follows the same 0-10 scale rating. Results comparing RIN to RQS for the same samples run on both LabChip GX and Agilent’s Bioanalyzer 2100 typically show <10% deviation.


=== [[BioMicroCenter:Caliper_INFO | RNA Analyses]] ===
== [[BioMicroCenter:Caliper_INFO | RNA Analyses]] ==


'''How the Caliper Software Analyzes RNA Data '''
===How the Caliper Software Analyzes RNA Data ===


The LabChip GX RNA assay analysis determines the quality of the RNA sample by measuring the relative amounts of know RNA fragments relative to the total RNA present in the sample. Results for each well are calculated after all data for the well has been read. The data analysis process for RNA assays consists of the following steps:
The LabChip GX RNA assay analysis determines the quality of the RNA sample by measuring the relative amounts of know RNA fragments relative to the total RNA present in the sample. Results for each well are calculated after all data for the well has been read. The data analysis process for RNA assays consists of the following steps:
Line 61: Line 60:




'''How to Read Caliper RNA Analysis Result   '''
===How to Read Caliper RNA Analysis Result ===


The Caliper RNA analysis results are almost the same as Agilent Bioanalyzer results. Caliper Life Sciences LabChip GX system analyzes RNA by electrophoretic separation on our microfluidic sipper chips. RNA molecules are separated and subsequently detected via laser induced fluorescence. The LabChip GX Software displays the raw data as an electropherogram and generates a gel-like image for visualization, data such as peak heights, peak areas, concentration, etc., are then calculated and stored as digitized data as text files and tables. These parameters are next used to determine an RQS (RNA Quality Score) number, a calculated score that rates the quality of RNA samples.
The Caliper RNA analysis results are almost the same as Agilent Bioanalyzer results. Caliper Life Sciences LabChip GX system analyzes RNA by electrophoretic separation on our microfluidic sipper chips. RNA molecules are separated and subsequently detected via laser induced fluorescence. The LabChip GX Software displays the raw data as an electropherogram and generates a gel-like image for visualization, data such as peak heights, peak areas, concentration, etc., are then calculated and stored as digitized data as text files and tables. These parameters are next used to determine an RQS (RNA Quality Score) number, a calculated score that rates the quality of RNA samples.
Line 85: Line 84:




'''Caliper RQS VS Agilent RIN '''
=== Caliper RQS VS Agilent RIN ===


RNA metrics such as peak heights, peak areas, and concentration are used to determine an RQS (RNA Quality Score) number for each sample.  The Caliper RQS is a calculated score that rates the quality of RNA samples. The RQS has been validated to correlate well with Agilent’s RIN (RNA Integrity Number) and follows the same 0-10 scale rating. Results comparing RIN to RQS for the same samples run on both LabChip GX and Agilent’s Bioanalyzer 2100 typically show <10% deviation. The RQS is consistent over Caliper’s standard sensitivity RNA assay concentration range (25 to 250 ng/μL) with CV’s <20%.  For more information:  http://www.caliperls.com/assets/022/8317.pdf
RNA metrics such as peak heights, peak areas, and concentration are used to determine an RQS (RNA Quality Score) number for each sample.  The Caliper RQS is a calculated score that rates the quality of RNA samples. The RQS has been validated to correlate well with Agilent’s RIN (RNA Integrity Number) and follows the same 0-10 scale rating. Results comparing RIN to RQS for the same samples run on both LabChip GX and Agilent’s Bioanalyzer 2100 typically show <10% deviation. The RQS is consistent over Caliper’s standard sensitivity RNA assay concentration range (25 to 250 ng/μL) with CV’s <20%.  For more information:  http://www.caliperls.com/assets/022/8317.pdf


=== [[BioMicroCenter:Caliper_INFO | Software]] ===
== [[BioMicroCenter:Caliper_INFO | Software]] ==


The LabChip GX software for data analysis allows users to visualize results via an electropherogram or virtual gel view and provides data in tabular form, which can then be analyzed or easily exported into a spreadsheet format. The soft ware is available for download from BioMicro at http://biomicro-bioanalyzer.mit.edu/
The LabChip GX software for data analysis allows users to visualize results via an electropherogram or virtual gel view and provides data in tabular form, which can then be analyzed or easily exported into a spreadsheet format. The soft ware is available for download from BioMicro at http://biomicro-bioanalyzer.mit.edu/
75

edits

Navigation menu