Evidence map›Paper›PMID 31032381›Full record

ArticleBio-protocol2019

Single-cell Motility Analysis of Tethered Human Spermatozoa.

William M Skinner, Nadja Mannowetz, Polina V Lishko, Nadia R Roan

Abstract read
In one paragraph

Article in Bio-protocol, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

4 authors.

William M SkinnerDepartment of Molecular and Cell Biology, University of California, Berkeley, CA, USA.
Nadja MannowetzDepartment of Molecular and Cell Biology, University of California, Berkeley, CA, USA.
Polina V LishkoDepartment of Molecular and Cell Biology, University of California, Berkeley, CA, USA.
Nadia R RoanDepartment of Urology, University of California, San Francisco, CA, USA.

Funding

Molecular identity of human sperm potassium channel and its role in male fertilityR01GM111802 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI LISHKO, POLINA V, SMITH, JAMES F. · 2015 to 2019
$2.2M
Characterization of Exosomes From Semen of Uninfected and HIV-Infected MenR21AI122821 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ROAN, NADIA R · 2016 to 2017
$450k
Characterization of Gallic Acid as a Novel HIV Microbicide CandidateR21AI116252 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ROAN, NADIA R · 2015 to 2016
$436k
NIAID NIH HHS R21 AI116252NIAID NIH HHS R21 AI122821NIGMS NIH HHS R01 GM111802
6 · The paper itself

Abstract

Vigorous sperm flagellar motility is essential for fertilization, and so the quantitative measurement of motility is a useful tool to assess the intrinsic fertility potential of sperm cells and explore how various factors can alter sperm's ability to reach the egg and penetrate its protective layers. Human sperm beat their flagella many times each second, and so recording and accurately quantifying this movement requires a high-speed camera. The aim of this protocol is to provide a detailed description of the tools required for quantitative beat frequency measurement of tethered human sperm at the single-cell level and to describe methods for investigating the effects of intracellular or extracellular factors on flagellar motion. This assay complements bulk measurements of sperm parameters using commercially-available systems for computer-assisted sperm analysis (CASA).

Indexed as

Amyloid fibrilsFlagellar beat frequencyHigh-speed imagingHuman spermatozoaSeminal plasmaSingle-cell motility analysisSperm flagellumSperm motilitySperm Swim-up

Identifiers

PMID31032381
PMCPMC6482966

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.