Cellular Heterogeneity
Humana Press, New York, NY
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Attention Score in Context
| Chapter title |
FACS Isolation of Viable Cells in Different Cell Cycle Stages from Asynchronous Culture for RNA Sequencing
|
|---|---|
| Chapter number | 18 |
| Book title |
Cellular Heterogeneity
|
| Published in |
Methods in molecular biology, February 2018
|
| DOI | 10.1007/978-1-4939-7680-5_18 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7679-9, 978-1-4939-7680-5
|
| Authors |
Daria M. Potashnikova, Sergey A. Golyshev, Alexey A. Penin, Maria D. Logacheva, Anna V. Klepikova, Anastasia A. Zharikova, Andrey A. Mironov, Eugene V. Sheval, Ivan A. Vorobjev, Potashnikova, Daria M., Golyshev, Sergey A., Penin, Alexey A., Logacheva, Maria D., Klepikova, Anna V., Zharikova, Anastasia A., Mironov, Andrey A., Sheval, Eugene V., Vorobjev, Ivan A. |
| Abstract |
Recently developed high-throughput analytical techniques (e.g., protein mass spectrometry and nucleic acid sequencing) allow unprecedentedly sensitive, in-depth studies in molecular biology of cell proliferation, differentiation, aging, and death. However, the initial population of asynchronous cultured cells is highly heterogeneous by cell cycle stage, which complicates immediate analysis of some biological processes. Widely used cell synchronization protocols are time-consuming and can affect the finely tuned biochemical pathways leading to biased results. Besides, certain cell lines cannot be effectively synchronized. The current methodological challenge is thus to provide an effective tool for cell cycle phase-based population enrichment compatible with other required experimental procedures. Here, we describe an optimized approach to live cell FACS based on Hoechst 33342 cell-permeable DNA-binding fluorochrome staining. The proposed protocol is fast compared to traditional synchronization methods and yields reasonably pure fractions of viable cells for further experimental studies including high-throughput RNA-seq analysis. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 29% |
| Student > Bachelor | 1 | 14% |
| Researcher | 1 | 14% |
| Student > Master | 1 | 14% |
| Unknown | 2 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 29% |
| Nursing and Health Professions | 1 | 14% |
| Chemistry | 1 | 14% |
| Medicine and Dentistry | 1 | 14% |
| Unknown | 2 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 18 January 2019.
All research outputs
#13,137,362
of 22,903,988 outputs
Outputs from Methods in molecular biology
#3,418
of 13,132 outputs
Outputs of similar age
#163,538
of 330,055 outputs
Outputs of similar age from Methods in molecular biology
#16
of 58 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 73% 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 330,055 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.