التفاصيل البيبلوغرافية
| العنوان: |
Replication Data for: Membrane to cortex attachment determines different mechanical phenotypes in LGR5+ and LGR5- colorectal cancer cells |
| المؤلفون: |
Conti, Sefora, Venturini, Valeria, Cañellas-Socias, Adrià, Cortina, Carme, Abenza, Juan F., Stephan-Otto Attolini, Camille, Middendorp Guerra, Emily, Xu, Catherine K, Li, Jia Hui, Rossetti, Leone, Stassi, Giorgio, Roca-Cusachs, Pere, Diz-Muñoz, Alba, Ruprecht, Verena, Guck, Jochen, Batlle, Eduard, Labernadie, Anna, Trepat, Trepat |
| المساهمون: |
IBEC, Admin |
| بيانات النشر: |
CORA.Repositori de Dades de Recerca |
| سنة النشر: |
2024 |
| مصطلحات موضوعية: |
Medicine, Health and Life Sciences, Colorectal Neoplasms, Neoplastic Stem Cells, LGR5 protein, human, Immunophenotyping, Intestinal Mucosa, Organoids, ERM proteins, Membrane to cortex attachment |
| الوصف: |
This dataset contains or links to all data related to the conducted research explained at the article "Membrane to cortex attachment determines different mechanical phenotypes in LGR5+ and LGR5- colorectal cancer cells". Contains and references data generated or used in the research, and the code developed to analyse it. |
| نوع الوثيقة: |
dataset |
| اللغة: |
English |
| Relation: |
The RNA-seq data generated in this study are publicly available at the Gene Expression Omnibus (GEO): https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE247359; Single cell RNA sequencing data of CRC patient samples were reanalyzed and are available at GEO: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE132465; Count matrices for single-cell RNA-seq experiments were deposited at ArrayExpress: https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-MTAB-8107 https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-MTAB-9934; Data from healthy human samples can be found in the gut atlas human dataset ( https://www.gutcellatlas.org ): https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-MTAB-89012; Code generated for this study can be found at: https://github.com/xt-prc-lab/Conti_et_al_2024; https://doi.org/10.34810/data1197 |
| DOI: |
10.34810/data1197 |
| الاتاحة: |
https://doi.org/10.34810/data1197 |
| Rights: |
info:eu-repo/semantics/openAccess ; CC0 1.0 |
| رقم الانضمام: |
edsbas.74418324 |
| قاعدة البيانات: |
BASE |