| Title |
The Drosophila neural lineages: a model system to study brain development and circuitry
|
|---|---|
| Published in |
Development Genes and Evolution, March 2010
|
| DOI | 10.1007/s00427-010-0323-7 |
| Pubmed ID | |
| Authors |
Shana R. Spindler, Volker Hartenstein |
| Abstract |
In Drosophila, neurons of the central nervous system are grouped into units called lineages. Each lineage contains cells derived from a single neuroblast. Due to its clonal nature, the Drosophila brain is a valuable model system to study neuron development and circuit formation. To better understand the mechanisms underlying brain development, genetic manipulation tools can be utilized within lineages to visualize, knock down, or over-express proteins. Here, we will introduce the formation and development of lineages, discuss how one can utilize this model system, offer a comprehensive list of known lineages and their respective markers, and then briefly review studies that have utilized Drosophila neural lineages with a look at how this model system can benefit future endeavors. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 236 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| Switzerland | 1 | <1% |
| Austria | 1 | <1% |
| Australia | 1 | <1% |
| Germany | 1 | <1% |
| India | 1 | <1% |
| Egypt | 1 | <1% |
| Argentina | 1 | <1% |
| United States | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 226 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 69 | 29% |
| Researcher | 35 | 15% |
| Student > Bachelor | 27 | 11% |
| Student > Master | 25 | 11% |
| Student > Doctoral Student | 14 | 6% |
| Other | 23 | 10% |
| Unknown | 43 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 94 | 40% |
| Biochemistry, Genetics and Molecular Biology | 43 | 18% |
| Neuroscience | 36 | 15% |
| Medicine and Dentistry | 7 | 3% |
| Computer Science | 4 | 2% |
| Other | 12 | 5% |
| Unknown | 40 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 October 2019.
All research outputs
#14,065,859
of 23,815,455 outputs
Outputs from Development Genes and Evolution
#324
of 495 outputs
Outputs of similar age
#75,888
of 96,513 outputs
Outputs of similar age from Development Genes and Evolution
#1
of 1 outputs
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