D.SEQ-231101GRI-1
samples-publish2023-11-03_D.SEQ.xlsx
SRR25447058
2_HKTJWDSXX.2.TCAACTGT_ATTATCAA.unmapped.1.fastq
2_HKTJWDSXX.2.TCAACTGT_ATTATCAA.unmapped.2.fastq
https://www.ncbi.nlm.nih.gov/gap/sstr/report/phs003326.v1.p1
https://www.ncbi.nlm.nih.gov/gap/sstr/report/phs003326.v1.p1
phs003326
dbGaP
5636464
RNA-Seq
Transcriptomic
PolyA
paired
Fastq
Single Cell RNA Sequencing
Illumina NovaSeq 6000
015d76ee658ebcd9eb691e6c50ce7ab4
MD5
d2b852fbafc47bd3f6ddd0b8d4aa7760
MD5
Creators and SubmitterViews: 106
Created: 6th Nov 2023 at 19:40
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AttributionsNone
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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
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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