A.MSP-230522GRI-1
samples-publish2023-11-03_A.MSP.xlsx
786_LB_2ndTMT.xlsx
https://www.ebi.ac.uk/pride/archive/projects/PXD045115
https://fairdomhub.org/sops/681
D.MSP-230522GRI-1; D.MSP-230522GRI-2; D.MSP-230522GRI-3; D.MSP-230522GRI-4; D.MSP-230522GRI-5; D.MSP-230522GRI-6; D.MSP-230828GRI-3; D.MSP-230828GRI-4; D.MSP-230828GRI-5; D.MSP-230828GRI-6; D.MSP-230828GRI-7; D.MSP-230828GRI-8; D.MSP-230828GRI-9; D.MSP-230828GRI-10; D.MSP-230828GRI-11; D.MSP-230828GRI-12; D.MSP-230828GRI-13; D.MSP-230828GRI-14
Scaffold Q+
Lauren Baugh
Sequest
Creators and SubmitterViews: 131
Created: 7th Nov 2023 at 19:27
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Projects: Hi-IMPAcTB, MIT SRP, MetNet, Endometriosis, Cancer Systems Biology Consortium (CSBC)
Institutions: Massachusetts Institute of Technology
Projects that do not fall under current programmes.
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Web page: Not specified
Endometriosis research done by the Griffith lab (MIT) and the Goods lab (Dartmouth)
Programme: Independent Projects
Public web page: Not specified
Submitter: Charles Demurjian
Studies: Integrating endometrial proteomic and single cell transcriptomic pipelin..., Organoid co-culture model of the cycling human endometrium in a fully-de...
Assays: All Metadata, All Metadata, Cell Culture Imaging - Data Linked, Cell Culture and Organoid Generation - Metadata, DNA Extraction - Metadata, DNA Extraction - Metadata, Elisa - Data Linked, Gene Expression Analysis - Data Linked, Immunohistochemistry - Data Linked, Linear Mixed Model - Data Linked, Luminex - Data Linked, Mass Spectrometry Proteomics - Data Linked, Mass Spectrometry Proteomics Analysis - Data Linked, Patient Visit - Metadata, Patient Visit - Metadata, Short Read Sequencing - Data Linked, Single Cell Expression Matrix Analysis - Data Linked, Single Cell Sequencing - Data Linked, Tissue Collection - Metadata, Tissue Collection - Metadata
Lauren Baugh, Brittany A. Goods, Juan S. Gnecco, Yunbeen Bae, Michael Retchin, Constantine N. Tzouanas, Megan Loring, Keith Isaacson, Alex K. Shalek, Douglas Lauffenburger, Linda Griffith
https://www.medrxiv.org/content/10.1101/2022.01.29.22269829v1
Endometriosis is a debilitating gynecological disorder affecting approximately 10% of the female population. Despite its prevalence, robust methods to classify and treat endometriosis remain elusive. Changes ...
Submitter: Charles Demurjian
Investigation: Endometriosis
Assays: All Metadata, DNA Extraction - Metadata, Immunohistochemistry - Data Linked, Linear Mixed Model - Data Linked, Mass Spectrometry Proteomics - Data Linked, Mass Spectrometry Proteomics Analysis - Data Linked, Patient Visit - Metadata, Single Cell Expression Matrix Analysis - Data Linked, Single Cell Sequencing - Data Linked, Tissue Collection - Metadata
Submitter: Charles Demurjian
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Endometriosis
Batch sample publishing
Creator: Charles Demurjian
Submitter: Charles Demurjian
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