Evidence map›Paper›PMID 42435339›Full record

ArticleSTAR protocols2026

Protocol for genotyping cephalopod sex using a skin swab and quantitative PCR.

Frederick A Rubino, Connor J Gibbons, Thomas J Mungioli, Scott T Small, Gabrielle C Coffing, Andrew D Kern, Tessa G Montague

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in STAR protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Frederick A RubinoDepartment of Biology, Whitehead Institute, Massachusetts Institute of Technology, Cambridge, MA, USA; The Mortimer B. Zuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, NY, USA. Electronic address: fred.rubino@gmail.com.
Connor J GibbonsThe Mortimer B. Zuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, NY, USA.
Thomas J MungioliThe Mortimer B. Zuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, NY, USA.
Scott T SmallInstitute of Ecology and Evolution, University of Oregon, Eugene, OR, USA.
Gabrielle C CoffingInstitute of Ecology and Evolution, University of Oregon, Eugene, OR, USA.
Andrew D KernInstitute of Ecology and Evolution, University of Oregon, Eugene, OR, USA.
Tessa G MontagueThe Mortimer B. Zuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, NY, USA; Howard Hughes Medical Institute, Columbia University, New York, NY, USA. Electronic address: tessa.montague@columbia.edu.

Funding

Deep learning for population geneticsR01HG010774 · NHGRI · UNIVERSITY OF OREGON · PI ANDREW D KERN · 2020 to 2026
$3.2M
Computational Population GeneticsR35GM148253 · NIGMS · UNIVERSITY OF OREGON · PI ANDREW D KERN · 2023 to 2026
$1.5M
NHGRI NIH HHS R01 HG010774NIGMS NIH HHS R35 GM148253
6 · The paper itself

Abstract

The coleoid cephalopods (octopus, cuttlefish, and squid) are emerging model organisms for neuroscience, development, and evolutionary biology. Determining their sex early in life is critical for population management and controlled experiments. Here, we present a protocol to non-invasively determine the sex of multiple cephalopod species as young as 3 h post-hatching using a skin swab and quantitative PCR (qPCR). We describe steps for designing qPCR primers, swabbing live animals, extracting DNA, running the qPCR, and analyzing the results. For complete details on the use and execution of this protocol, please refer to Rubino et al.

Indexed as

GeneticsModel OrganismsMolecular Biology

Identifiers

PMID42435339
PMCPMC13380805

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.