№ lp_2_3_62738
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This document provides supplementary data, including figures and tables, related to the StemSC human stemness index across various single-cell datasets.
Year: 2023
Region / City: Not specified
Topic: Stemness index, single-cell analysis, embryonic stem cells
Document Type: Research Supplementary Data
Organization / Institution: Not specified
Author: Hailong Zheng, Jiajing Xie, Kai Song, Jing Yang, Huiting Xiao, Jiashuai Zhang, Keru Li, Rongqiang Yuan, Yuting Zhao, Yunyan Gu, Wenyuan Zhao
Target Audience: Researchers in stem cell biology, genomics, and bioinformatics
Effective Period: Not specified
Approval Date: Not specified
Modification Date: Not specified
Price: 8 / 10 USD
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SMARTerV4 (1x) Amplification for single-cell or single-nuclei RNASeq
Year: 2018
Region / city: N/A
Topic: Single-cell RNA sequencing
Document type: Standard Operating Procedure (SOP)
Organization / institution: Takara
Author: N/A
Target audience: Laboratory staff, researchers
Period of validity: N/A
Approval date: 08/23/2018
Last review date: 8/27/2019
Identification of Cell-cell Communications by Single-cell RNA Sequencing in End Stage Renal Disease Provides New Insights into Immune Cell Heterogeneity
Note: Year
Postdoctoral Position in Bioinformatics: Investigating White Matter Tract Invasion by Single-Cell Sequencing Data Analysis
Institution: IBGC, UMR 5095 CNRS
Team: Bioinformatics team
Supervisors: Dr. Macha Nikolski; Dr. Thomas Daubon
Position type: Post-doctoral position
Duration: 12 months, extendable
Field: Bioinformatics; Single-cell RNA sequencing; Glioblastoma research
Research focus: White matter tract invasion in glioblastoma
Techniques: Single-cell RNA sequencing; Bulk transcriptomics; NGS data analysis
Programming requirements: R; Python; Unix environment
Language requirement: English (spoken and written)
Required qualification: PhD degree in bioinformatics, high level engineer or equivalent
Project context: Integration of multiple scRNA-seq datasets from published and newly generated glioblastoma models
Subject area: Molecular and metabolic pathways involved in tumor invasion
Single-Cell mRNA Sequencing of Bone Marrow Mesenchymal Stem Cell Lineages Shows that Gravity Mechanical Loading Regulates Regenerative Osteogenesis in a CDKN1A-Dependent Manner
Authors: Cassandra M. Juran; Justina Zvirblyte; Yasaman Sharazi; Angela Kubik; Margareth Cheng-Campbell; Elizabeth Blaber; Eduardo Almeida
Affiliations: Blue Marble Space Institute of Science at NASA Ames Research Center, Mountain View, CA, USA; Vilnius University, Vilnius, Lithuania; Rensselaer Polytechnic Institute, Troy, NY, USA; NASA Ames Research Center, Moffett Field, CA, USA
Research Field: Stem cell biology; Bone regeneration; Mechanobiology; Space biology
Key Gene: CDKN1A (Cdkn1a)
Experimental Models: Wildtype and Cdkn1a-null mice
Methods: Single-cell mRNA sequencing; in-vitro mechanical stretch; hindlimb unloading; running wheel and treadmill loading; spaceflight microgravity exposure
Space Mission: Rodent Research-10 aboard the International Space Station
Duration of Spaceflight: 30 days
Biological Material: Femur bone marrow; mesenchymal osteoprogenitors; osteoblast lineage cells
Type of Document: Scientific research article
Institutional Context: NASA-affiliated and academic biomedical research collaboration
SINGLE-CELL TRANSCRIPTOME AND EPIGENETIC PROFILING OF THE PITUITARY GLAND IN NILE TILAPIA
Year: 2024
Region / City: Bodø, Norway; Edinburgh, Scotland; Barcelona, Spain
Subject: Reproductive endocrinology, teleost puberty
Document type: Research article
Institution: Nord University, The Roslin Institute, Institute of Marine Science (ICM)
Authors: L. Colonna, I. Konstantinidis, R.R. Daniels, D. Robledo, J.M.O. Fernandes
Target audience: Researchers in marine biology and fish physiology
Methodology: Single-cell RNA-seq and ATAC-seq profiling
Model organism: Nile tilapia (Oreochromis niloticus)
Experimental conditions: Continuous and ambient light exposure for 4 months
Purpose: Identification of pituitary cell types and markers associated with puberty onset in teleosts
Reference: M. Li, L. Sun, L. Zhou & D. Wang (2024). Gen Comp Endocrinol 345:114395
Data Management and Sharing Plan for Single-Cell Genomic Studies in Mice and Humans
Year: 2026
Institution: University X
Type of document: Research Data Management Plan
Research focus: Single-cell genomics
Organ / department: Office of Sponsored Programs
Data repository: BRAIN Initiative Cell Data Center (BCDC), NeMO, NCBI GEO, SRA
Target species: Mouse, Human
Data modalities: ATAC-seq, RNA-seq, DNA methylation
Standards: NeMO standards for single-cell data
Data access: Public release upon publication or milestone completion
Validation schedule: Milestone-based data freeze and analysis
Topics: cross-dataset stemness single-cell