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Mendeley readers
Attention Score in Context
| Title |
Slashing the timelines: Opting to generate high‐titer clonal lines faster via viability‐based single cell sorting
|
|---|---|
| Published in |
Biotechnology Progress, December 2015
|
| DOI | 10.1002/btpr.2204 |
| Pubmed ID | |
| Authors |
Shahram Misaghi, David Shaw, Salina Louie, Adrian Nava, Laura Simmons, Brad Snedecor, Chungkee Poon, Jonathan S Paw, Laurie Gilmour-Appling, James E Cupp |
| Abstract |
Chinese hamster ovary (CHO) cell line development (CLD) is a long and laborious process, which requires up to 5-6 months in order to generate and bank CHO lines capable of stably expressing therapeutic molecules. Additionally, single cell cloning of these production lines is also necessary to confirm clonality of the production lines. Here we introduce the utilization of viability staining dye in combination with flow cytometer to isolate high titer clones from a pool of selected cells and single cell deposit them into the wells of culture plates. Our data suggests that a stringent selection procedure along with viability dye staining and flow cytometry-based sorting can be used to isolate high expressing clones with titers comparable to that of traditional CLD methods. This approach not only requires less labor and consumables, but it also shortens CLD timelines by at least 3 weeks. Furthermore, single cell deposition of selected cells by a flow sorter can be regarded as an additional clonality assurance factor that in combination with Day 0 imaging can ensure clonality of the production lines. This article is protected by copyright. All rights reserved. |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 33% |
| Student > Ph. D. Student | 7 | 18% |
| Student > Master | 5 | 13% |
| Other | 4 | 10% |
| Student > Postgraduate | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 6 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 38% |
| Biochemistry, Genetics and Molecular Biology | 13 | 33% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Chemical Engineering | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 5 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 20 November 2015.
All research outputs
#4,835,465
of 25,373,627 outputs
Outputs from Biotechnology Progress
#417
of 2,525 outputs
Outputs of similar age
#73,139
of 394,836 outputs
Outputs of similar age from Biotechnology Progress
#7
of 25 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,525 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 394,836 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.