Positional information drives distinct traits in transcriptomically identified neuronal types
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1120771 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR29306809.fastq.gz | Fastqsanger.gz | |||
| SRR29306810.fastq.gz | Fastqsanger.gz | |||
| SRR29306811.fastq.gz | Fastqsanger.gz | |||
| SRR29306812.fastq.gz | Fastqsanger.gz | |||
| SRR29306813.fastq.gz | Fastqsanger.gz |
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Project description:Data set to accompany : Anatomic demarcation by positional variation in fibroblast gene expression programs. PLoS Genet. 2006 Jul;2(7):e119. PMID: 16895450 Fibroblasts are ubiquitous mesenchymal cells with many vital functions during development, tissue repair, and disease. Fibroblasts from different anatomic sites have distinct and characteristic gene expression patterns, but the principles that govern their molecular specialization are poorly understood. Spatial organization of cellular differentiation may be achieved by unique specification of each cell type; alternatively, organization may arise by cells interpreting their position along a coordinate system. Here we test these models by analyzing the genome-wide gene expression profiles of primary fibroblast populations from 43 unique anatomical sites spanning the human body. Large-scale differences in the gene expression programs were related to three anatomic divisions: anterior-posterior (rostral-caudal), proximal-distal, and dermal versus nondermal. A set of 337 genes that varied according to these positional divisions was able to group all 47 samples by their anatomic sites of origin. Genes involved in pattern formation, cell-cell signaling, and matrix remodeling were enriched among this minimal set of positional identifier genes. Many important features of the embryonic pattern of HOX gene expression were retained in fibroblasts and were confirmed both in vitro and in vivo. Together, these findings suggest that site-specific variations in fibroblast gene expression programs are not idiosyncratic but rather are systematically related to their positional identities relative to major anatomic axes. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Computed
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