A computational statistics approach for estimating the spatial range of morphogen gradients.
| Title | A computational statistics approach for estimating the spatial range of morphogen gradients. |
| Publication Type | Journal Articles |
| Year of Publication | 2011 |
| Authors | Kanodia JS, Kim Y, Tomer R, Khan Z, Chung K, Storey JD, Lu H, Keller PJ, Shvartsman SY |
| Journal | Development |
| Volume | 138 |
| Issue | 22 |
| Pagination | 4867-74 |
| Date Published | 2011 Nov |
| ISSN | 1477-9129 |
| Keywords | Animals, Biostatistics, Cleavage Stage, Ovum, Computational Biology, Computer simulation, Drosophila, Drosophila Proteins, Embryo, Nonmammalian, Gene Expression Regulation, Developmental, Genes, Developmental, Imaging, Three-Dimensional, In Situ Hybridization, Fluorescence, Morphogenesis, Osmolar Concentration, Tissue Distribution |
| Abstract | A crucial issue in studies of morphogen gradients relates to their range: the distance over which they can act as direct regulators of cell signaling, gene expression and cell differentiation. To address this, we present a straightforward statistical framework that can be used in multiple developmental systems. We illustrate the developed approach by providing a point estimate and confidence interval for the spatial range of the graded distribution of nuclear Dorsal, a transcription factor that controls the dorsoventral pattern of the Drosophila embryo. |
| DOI | 10.1242/dev.071571 |
| Alternate Journal | Development |
| PubMed ID | 22007136 |
| PubMed Central ID | PMC3201657 |
| Grant List | NS058465 / NS / NINDS NIH HHS / United States / / Howard Hughes Medical Institute / United States |