| Chapter title |
Single-Cell Dissociation and Characterization in the Murine Retina and Optic Nerve
|
|---|---|
| Chapter number | 21 |
| Book title |
Glaucoma
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7407-8_21 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7406-1, 978-1-4939-7407-8
|
| Authors |
Hee Joo Choi, Rui Wang, Tatjana C. Jakobs, Choi, Hee Joo, Wang, Rui, Jakobs, Tatjana C. |
| Abstract |
Recent technological advances have extended the range of analytic tools to very small samples. It is now possible to assay the transcriptome, and in some cases even the proteome, of single cells reliably. This allows addressing novel questions, such as the genotype/phenotype relationships of single neurons, heterogeneity within individual cells of the same type, or the basis of differential vulnerability to injury. An important prerequisite for these kinds of studies is the ability to isolate well-defined individual cells without contamination by adjacent tissue. In the retina and optic nerve, cells of different types and functions are closely intermingled, limiting the use of standard methods such as laser capture microdissection. Here, we describe a simple method to isolate morphologically intact cells from the retina and the optic nerve and discuss considerations in recognizing and isolating different cell types after dissociation. |
X Demographics
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|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 18% |
| Student > Bachelor | 1 | 9% |
| Student > Doctoral Student | 1 | 9% |
| Professor | 1 | 9% |
| Student > Postgraduate | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 5 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 27% |
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| Neuroscience | 1 | 9% |
| Unknown | 5 | 45% |