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Series GSE260629 Query DataSets for GSE260629
Status Public on Apr 01, 2024
Title Positional information modulates transient regeneration-activated cell states during vertebrate appendage regeneration.
Organism Nothobranchius furzeri
Experiment type Expression profiling by high throughput sequencing
Summary Injury is a common occurrence in the life of most if not all organisms. Because injury and the extent of damage inflicted are not predictable events, pre-existing tissues must somehow determine how much tissue needs to be restored. It has been known for over a century that amputation position along a proximal-distal (P/D) axis determines the regeneration speed of amputated limbs in regeneration-competent animals1. Yet, it is not clear how an injured limb conveys positional information during regeneration to faithfully restore pre-existing morphologies and functions. Here, we profiled millimetric caudal fins regenerating proximal and distal amputations in the African killifish (Nothobranchius furzeri). We report position-specific, differential modulation of the spatial distribution, duration, and magnitude of proliferation, and the possibility to predict blastema sizes. Regenerating fins profiled by single cell RNA sequencing identified a Transient Regeneration-Activated Cell State (TRACS) enriched in extracellular matrix (ECM) components and modifiers that is proportionally amplified to match a given amputation position. We located this transient cell state to the basal epidermis by gene expression and confocal microscopy, and propose a role for these cells in transducing positional information to the regeneration blastema. Understanding the temporal deployment of regenerative cell states may hold the key to set up a successful regeneration event in organisms with limited regenerative abilities such as humans.
 
Overall design Regenerating or homeostasis cells from caudal fins or dorsal fins were isolated by FACS according to live/nucleated signal and analyzed using scRNA-seq
 
Contributor(s) Ortega Granillo A, Zamora D, Schnittker RR, Scott AR, Russell J, Brewster CE, Ross EJ, Acheampong D, Ferro K, Morrison JA, Rubinstein BY, Perera AG, Wang W, Sánchez Alvarado A
Citation(s) 39286507
Submission date Feb 29, 2024
Last update date Sep 19, 2024
Contact name Alejandro Sanchez Alvarado
E-mail(s) asa@stowers.org
Organization name Stowers Institute for Medical Research
Lab Sanchez Alvarado Lab
Street address 1000 East 50th Street
City Kansas City
State/province MO
ZIP/Postal code 61410
Country USA
 
Platforms (1)
GPL32658 Illumina NovaSeq 6000 (Nothobranchius furzeri)
Samples (32)
GSM8121285 prox_dist_10x-prox-rep2
GSM8121286 prox_dist_10x-dist-rep2
GSM8121287 prox_dist_plex-prox-rep1
Relations
BioProject PRJNA1082368

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE260629_RAW.tar 253.9 Mb (http)(custom) TAR (of H5)
GSE260629_cell_counts.txt.gz 383 b (ftp)(http) TXT
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Raw data are available in SRA

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