Evidence map›Paper›PMID 28448036›Full record

ArticleJournal of visualized experiments : JoVE2017

Using Microfluidic Devices to Measure Lifespan and Cellular Phenotypes in Single Budding Yeast Cells.

Ke Zou, Diana S Ren, Qi Ou-Yang, Hao Li, Jiashun Zheng

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Ke ZouThe State Key Laboratory for Artificial Microstructures and Mesoscopic Physics, School of Physics, Peking University; Department of Biochemistry and Biophysics, University of California, San Francisco.
Diana S RenDepartment of Biochemistry and Biophysics, University of California, San Francisco.
Qi Ou-YangThe State Key Laboratory for Artificial Microstructures and Mesoscopic Physics, School of Physics, Peking University; Peking-Tsinghua Center for Life Sciences at Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University.
Hao LiDepartment of Biochemistry and Biophysics, University of California, San Francisco.
Jiashun ZhengDepartment of Biochemistry and Biophysics, University of California, San Francisco; jiashun@genome.ucsf.edu.
University of California, San Francisco · USCenter for Life Sciences · CN

Funding

System approaches to determine mechanisms underlying yeast replicative agingR01AG043080 · NIA · BUCK INSTITUTE FOR RESEARCH ON AGING · PI KENNEDY, BRIAN K · 2012 to 2016
$3.0M
NIA NIH HHS R01 AG043080
6 · The paper itself

Abstract

Budding yeast Saccharomyces cerevisiae is an important model organism in aging research. Genetic studies have revealed many genes with conserved effects on the lifespan across species. However, the molecular causes of aging and death remain elusive. To gain a systematic understanding of the molecular mechanisms underlying yeast aging, we need high-throughput methods to measure lifespan and to quantify various cellular and molecular phenotypes in single cells. Previously, we developed microfluidic devices to track budding yeast mother cells throughout their lifespan while flushing away newborn daughter cells. This article presents a method for preparing microfluidic chips and for setting up microfluidic experiments. Multiple channels can be used to simultaneously track cells under different conditions or from different yeast strains. A typical setup can track hundreds of cells per channel and allow for high-resolution microscope imaging throughout the lifespan of the cells. Our method also allows detailed characterization of the lifespan, molecular markers, cell morphology, and the cell cycle dynamics of single cells. In addition, our microfluidic device is able to trap a significant amount of fresh mother cells that can be identified by downstream image analysis, making it possible to measure the lifespan with higher accuracy.

Indexed as

Lab-On-A-Chip DevicesPhenotypeCell CycleCell DivisionSaccharomyces cerevisiae

Identifiers

PMID28448036
PMCPMC5564467
OpenAlexW2599371249

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.