A.SCXP231102GRI-5
samples-publish2023-11-03_A.SCXP.xlsx
Broad_EndoData_AlignmentOutput_Lane2_C4-6_Lane2_C4-6_dge.txt
e3b5b137c70d85f2ea716a85c5a22ed5
MD5
https://www.ncbi.nlm.nih.gov/gap/sstr/report/phs003326.v1.p1
2023-09-14T0:0:0+0200
Linda Griffith
D.SEQ-231101GRI-3
https://fairdomhub.org/sops/685
Can get access to this file through the 'Request Access' button on the dbGaP study page
Creators and SubmitterViews: 163
Created: 14th Nov 2023 at 16:06
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Projects: Hi-IMPAcTB, MIT SRP, MetNet, Endometriosis, Cancer Systems Biology Consortium (CSBC)
Institutions: Massachusetts Institute of Technology
Projects: MIT SRP, Hi-IMPAcTB, MetNet, Endometriosis, Cancer Systems Biology Consortium (CSBC)
Web page: https://nextseek.mit.edu/
Endometriosis research done by the Griffith lab (MIT) and the Goods lab (Dartmouth)
Programme: NExtSEEK
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
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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UID (String) *, Name (String) , Checksum_PrimaryData (String) , Checksum_PrimaryType (String) , Link_PrimaryData (String) , SampleCreationDate (String) , Scientist (String) , Parent (String) , Protocol (String) , Notes (String)
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