Evidence map›Paper›PMID 34043278›Full record

ArticleCurrent protocols2021

Isolation of Nuclei from Mammalian Cells and Tissues for Single-Nucleus Molecular Profiling.

Emily R Nadelmann, Joshua M Gorham, Daniel Reichart, Daniel M Delaughter, Hiroko Wakimoto, Eric L Lindberg, Monika Litviňukova, Henrike Maatz, Justin J Curran, Daniela Ischiu Gutierrez and 3 more

Open access · greenAbstract read
In one paragraph

Article in Current protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

44 citing papers in PubMed, 58 citations in OpenAlex.

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  3. bioRxiv : the preprint server for biology · 2026
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  17. Transcriptional characterization of sepsis in a LPS porcine model.Molecular genetics and genomics : MGG · 2025
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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

13 authors at 2 institutions in 2 countries.

Emily R NadelmannDepartment of Genetics, Harvard Medical School, Boston, Massachusetts.
Joshua M GorhamDepartment of Genetics, Harvard Medical School, Boston, Massachusetts.
Daniel ReichartDepartment of Genetics, Harvard Medical School, Boston, Massachusetts.
Daniel M DelaughterDepartment of Genetics, Harvard Medical School, Boston, Massachusetts.
Hiroko WakimotoDepartment of Genetics, Harvard Medical School, Boston, Massachusetts.
Eric L LindbergCardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Monika LitviňukovaCardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Henrike MaatzCardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Justin J CurranDepartment of Genetics, Harvard Medical School, Boston, Massachusetts.
Daniela Ischiu GutierrezDepartment of Immunology, Harvard Medical School, Boston, Massachusetts.
Norbert HübnerCardiovascular and Metabolic Sciences, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Christine E SeidmanDepartment of Genetics, Harvard Medical School, Boston, Massachusetts.
J G SeidmanDepartment of Genetics, Harvard Medical School, Boston, Massachusetts.
Harvard University · USMax Delbrück Center · DE

Funding

Defining Pathways from Gene Mutation to Heart FailureR01HL080494 · NHLBI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI CHEN, CHRISTOPHER S, SEIDMAN, CHRISTINE E · 2005 to 2024
$9.4M
Molecular Signaling in Hypertrophic CardiomyopathyR01HL084553 · NHLBI · HARVARD MEDICAL SCHOOL · PI SEIDMAN, JONATHAN G · 2007 to 2022
$5.9M
Molecular Causes of Down Syndrome Associated Congenital Heart Disease and Other PhenotypesR01HL151257 · NHLBI · HARVARD MEDICAL SCHOOL · PI SEIDMAN, JONATHAN G · 2019 to 2019
$3.7M
Howard Hughes Medical InstituteNHLBI NIH HHS R01 HL080494NHLBI NIH HHS R01 HL084553NHLBI NIH HHS R01 HL151257
6 · The paper itself

Abstract

Both single-cell RNA sequencing (scRNAseq) and single-nucleus RNA sequencing (snRNAseq) can be used to characterize the transcriptional profile of individual cells, and based on these transcriptional profiles, help define cell type distribution in mixed cell populations. However, scRNAseq analyses are confounded if some of the cells are large (>50 µm) or if some of cells adhere more tightly to some adjacent cells than to others. Further, single cell isolation for scRNAseq requires fresh tissue, which may not be available for human or animal model tissues. Additionally, the current enzymatic and mechanical methods for single-cell dissociation can lead to stress-induced transcriptional artifacts. Nuclei for snRNAseq, on the other hand, can be isolated from any cell, regardless of size, and from either fresh or frozen tissues, and compared to whole cells, they are more resistant to mechanical pressures and appear not to exhibit as many cell isolation-based transcriptional artifacts. Here, we describe a time- and cost-effective procedure to isolate nuclei from mammalian cells and tissues. The protocol incorporates steps to mechanically disrupt samples to release nuclei. Compared to conventional nuclei isolation protocols, the approach described here increases overall efficiency, eliminates risk of contaminant exposure, and reduces volumes of expensive reagents. A series of RNA quality control checks are also incorporated to ensure success and reduce costs of subsequent snRNAseq experiments. Nuclei isolated by this procedure can be separated on the 10× Genomics Chromium system for either snRNAseq and/or Single-Nucleus ATAC-Seq (snATAC-Seq), and is also compatible with other single cell platforms. © 2021 Wiley Periodicals LLC. Basic Protocol 1: Sample preparation and quality control check via RNA Isolation and Analysis Basic Protocol 2: Nuclei Isolation.

Indexed as

Cell NucleusSolitary NucleusAnimalsCell SeparationDisease Models, AnimalHumansSequence Analysis, RNAnuclei isolationRNARNA isolationsingle-nucleus RNA sequencing

Identifiers

PMID34043278
PMCPMC8191490
OpenAlexW3165613911

What OpenQuestion holds

Textmetadata
LicenceTDM
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.