Evidence map›Paper›PMID 40402346›Full record

ArticleAnatomical science international2025

An ATAC-seq protocol for neuroscience research.

Nur Hasan Prince, Misako Hamamura, Yi Zhou, Yuki Fujita

Abstract read
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In one paragraph

Article in Anatomical science international, 2025. 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

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.

Nur Hasan PrinceDepartment of Anatomy and Developmental Biology, School of Medicine, Shimane University, 89-1, En-Ya-Cho, Izumo-Shi, Shimane, 693-8501, Japan.
Misako HamamuraDepartment of Anatomy and Developmental Biology, School of Medicine, Shimane University, 89-1, En-Ya-Cho, Izumo-Shi, Shimane, 693-8501, Japan.
Yi ZhouInstitute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
Yuki FujitaDepartment of Anatomy and Developmental Biology, School of Medicine, Shimane University, 89-1, En-Ya-Cho, Izumo-Shi, Shimane, 693-8501, Japan. yuki.fujita@med.shimane-u.ac.jp.

Funding

Japan Agency for Medical Research and Development JP24wm0625506Japan Society for the Promotion of Science 22KK0107Japan Society for the Promotion of Science 23K27350National Key Research and Development Program of China 2024YFA1803400Shanghai Pujiang Program 23PJ1414500Shanghai Science and Technology Development Foundation 24QA2710400
6 · The paper itself

Abstract

ATAC-seq (assay for transposase-accessible chromatin using sequencing) enables high resolution mapping of chromatin accessibility, providing critical insights into gene regulatory mechanisms in neuroscience research. This protocol presents an optimized approach for applying ATAC-seq to neural tissues and cells, addressing the unique challenges of preserving chromatin integrity in these delicate samples. We detail the key steps of tissue processing, nuclear isolation, transposition reactions, and library preparation specifically adapted for neural applications. The method requires minimal starting material (20,000-50,000 cells) while maintaining high sensitivity for detecting regulatory elements involved in neural development, plasticity, and neurological disorders. This tailored protocol facilitates robust investigation of neuroepigenomic regulation in diverse experimental contexts.

Indexed as

ChromatinChromatin Immunoprecipitation SequencingNeurosciencesAnimalsHumansTransposasesChromatinTransposasesATAC-seqBrainChromatinEpigeneticsNeuroanatomy

Identifiers

What OpenQuestion holds

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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.