Evidence map›Paper›PMID 39839668›Full record

ArticleFrontiers in cell and developmental biology2024

Comparative evaluation of ACetic - MEthanol high salt dissociation approach for single-cell transcriptomics of frozen human tissues.

Marina Utkina, Anastasia Shcherbakova, Ruslan Deviatiiarov, Alina Ryabova, Marina Loguinova, Valentin Trofimov, Anna Kuznetsova, Mikhail Petropavlovskiy, Rustam Salimkhanov, Denis Maksimov and 15 more

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

25 authors.

Marina Utkina *Endocrinology Research Centre, Institute of Personalized Medicine, Moscow, Russia.
Anastasia Shcherbakova *Endocrinology Research Centre, Institute of Personalized Medicine, Moscow, Russia.
Ruslan DeviatiiarovEndocrinology Research Centre, Institute of Personalized Medicine, Moscow, Russia.
Alina RyabovaEndocrinology Research Centre, Institute of Personalized Medicine, Moscow, Russia.
Marina LoguinovaEndocrinology Research Centre, Institute of Personalized Medicine, Moscow, Russia.
Valentin TrofimovEndocrinology Research Centre, Institute of Personalized Medicine, Moscow, Russia.
Anna KuznetsovaEndocrinology Research Centre, Institute of Personalized Medicine, Moscow, Russia.
Mikhail PetropavlovskiyEndocrinology Research Centre, Institute of Personalized Medicine, Moscow, Russia.
Rustam SalimkhanovEndocrinology Research Centre, Institute of Personalized Medicine, Moscow, Russia.
Denis MaksimovFaculty of Medicine, Lomonosov Moscow State University, Moscow, Russia.
Eugene AlbertFaculty of Medicine, Lomonosov Moscow State University, Moscow, Russia.
Alexandra GolubevaEndocrinology Research Centre, Institute of Personalized Medicine, Moscow, Russia.
Walaa AsaadEndocrinology Research Centre, Institute of Personalized Medicine, Moscow, Russia.
Lilia UrusovaEndocrinology Research Centre, Institute of Personalized Medicine, Moscow, Russia.
Ekaterina BondarenkoEndocrinology Research Centre, Institute of Personalized Medicine, Moscow, Russia.
Anastasia LapshinaEndocrinology Research Centre, Institute of Personalized Medicine, Moscow, Russia.
Alexandra ShutovaEndocrinology Research Centre, Institute of Personalized Medicine, Moscow, Russia.
Dmitry BeltsevichEndocrinology Research Centre, Institute of Personalized Medicine, Moscow, Russia.
Oleg GusevEndocrinology Research Centre, Institute of Personalized Medicine, Moscow, Russia.
Larisa DzeranovaEndocrinology Research Centre, Institute of Personalized Medicine, Moscow, Russia.
Galina MelnichenkoEndocrinology Research Centre, Institute of Personalized Medicine, Moscow, Russia.
Ildar MinniakhmetovEndocrinology Research Centre, Institute of Personalized Medicine, Moscow, Russia.
Ivan DedovEndocrinology Research Centre, Institute of Personalized Medicine, Moscow, Russia.
Natalya MokryshevaEndocrinology Research Centre, Institute of Personalized Medicine, Moscow, Russia.
Sergey PopovEndocrinology Research Centre, Institute of Personalized Medicine, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current dissociation methods for solid tissues in scRNA-seq studies do not guarantee intact single-cell isolation, especially for sensitive and complex human endocrine tissues. Most studies rely on enzymatic dissociation of fresh samples or nuclei isolation from frozen samples. Dissociating whole intact cells from fresh-frozen samples, commonly collected by biobanks, remains a challenge. Here, we utilized the acetic-methanol dissociation approach (ACME) to capture transcriptional profiles of individual cells from fresh-frozen tissue samples. This method combines acetic acid-based dissociation and methanol-based fixation. In our study, we optimized this approach for human endocrine tissue samples for the first time. We incorporated a high-salt washing buffer instead of the standard PBS to stabilize RNA and prevent RNases reactivation during rehydration. We have designated this optimized protocol as ACME HS (ACetic acid-MEthanol High Salt). This technique aims to preserve cell morphology and RNA integrity, minimizing transcriptome changes and providing a more accurate representation of mature mRNA. We compared the ability of enzymatic, ACME HS, and nuclei isolation methods to preserve major cell types, gene expression, and standard quality parameters across 41 tissue samples. Our results demonstrated that ACME HS effectively dissociates and fixes cells, preserving cell morphology and high RNA integrity. This makes ACME HS a valuable alternative for scRNA-seq protocols involving challenging tissues where obtaining a live cell suspension is difficult or disruptive.

Indexed as

ACME HScryopreservationdissociationfixed single cellsfresh-frozen tissuehuman endocrine glandsScRNA-seq

Identifiers

PMID39839668
PMCPMC11748064

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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 OpenQuestion graph.