Login

Notice: Temporary Suspension of New Experiment Creation
We have temporarily disabled the creation of new experiments as we are continuously running out of space. This issue has been impacting both uploads and downloads from FlowRepository. By taking this step, we aim to make downloads of existing data more reliable.
We apologize for the inconvenience and appreciate your understanding as we work on upgrading our hardware and improving the overall solution.
Thank you for your patience.

Download-button_s

Experiment Overview

Repository ID: FR-FCM-ZYYZ Experiment name: Diagnosing Endometriosis MIFlowCyt score: 21.00%
Primary researcher: Kathleen Brandes PI/manager: Kathleen Brandes Uploaded by: Kathleen Brandes
Experiment dates: 2016-01-10 - Dataset uploaded: Jan 2017 Last updated: Jan 2017
Keywords: None Manuscripts:
Organizations: None
Purpose: Endometriosis is a common gynecological disease where cells similar to the endometrium of the uterus grow elsewhere in the body. We developed several genetic parts that could be used to build a molecular diagnostic for this disease, eliminating exploratory surgery as the primary diagnostic tool. This experiment reflects the data from testing and characterizing these genetic parts.
Conclusion: See "New Genetic Tools toward Building a Molecular Diagnostic for Endometriosis" in PLoS ONE.
Comments: None
Funding: Not disclosed
Quality control: Rainbow Calibration Particles (Spherotech RCP-30-5A) were used to calibrate data between different experimental runs. Used single color florescence controlled under the constitutive promoter hEF1-alpha to standardize data analysis.
Download FCS Files or login and see the dataset in your inbox for further annotation details.