Evidence map›Paper›PMID 36977444›Full record

ArticleJournal of molecular and cellular cardiology2023

High-quality nuclei isolation from postmortem human heart muscle tissues for single-cell studies.

Sarah Araten, Ronald Mathieu, Anushka Jetly, Hoon Shin, Nazia Hilal, Bo Zhang, Katherine Morillo, Deepa Nandan, Indu Sivankutty, Ming Hui Chen and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of molecular and cellular cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. A simple approach of nuclei isolation for single nucleus multiome sequencing.Journal of molecular and cellular cardiology · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Sarah AratenDivision of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA.
Ronald MathieuFlow Cytometry Core Facility, Boston Children's Hospital, Boston, MA, USA.
Anushka JetlyDivision of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA; Harvard College, Cambridge, MA, USA.
Hoon ShinDivision of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA; Harvard College, Cambridge, MA, USA.
Nazia HilalDivision of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Bo ZhangDepartment of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Biostatistics and Research Design Center, Institutional Centers for Clinical and Translational Research, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Katherine MorilloDivision of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA.
Deepa NandanDivision of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA.
Indu SivankuttyDivision of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Ming Hui ChenDivision of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA; Department of Cardiology, Boston Children's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Sangita ChoudhuryDivision of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Electronic address: sangita.choudhury@childrens.harvard.edu.
Boston Children's Hospital · USHarvard University · USHarvard College Observatory · US

Funding

Single cell, whole genome analysis of the aging human cardiomyocyte Diversity SupplementR01HL152063 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI CHOUDHURY, SANGITA · 2021 to 2025
$4.3M
Detection and Characterization of Somatic Mutations in Human Tissue Utilizing Duplex-Consensus SequencingUG3NS132144 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI CHOUDHURY, SANGITA, LEE, EUNJUNG ALICE · 2023 to 2024
$877k
NHLBI NIH HHS R01 HL152063NINDS NIH HHS UG3 NS132144
6 · The paper itself

Abstract

Single-cell approaches have become an increasingly popular way of understanding the genetic factors behind disease. Isolation of DNA and RNA from human tissues is necessary to analyze multi-omic data sets, providing information on the single-cell genome, transcriptome, and epigenome. Here, we isolated high-quality single-nuclei from postmortem human heart tissues for DNA and RNA analysis. Postmortem human tissues were obtained from 106 individuals, 33 with a history of myocardial disease, diabetes, or smoking, and 73 controls without heart disease. We demonstrated that the Qiagen EZ1 instrument and kit consistently isolated genomic DNA of high yield, which can be used for checking DNA quality before conducting single-cell experiments. Here, we provide a method for single-nuclei isolation from cardiac tissue, otherwise known as the SoNIC method, which allows for the isolation of single cardiomyocyte nuclei from postmortem tissue by nuclear ploidy status. We also provide a detailed quality control measure for single-nuclei whole genome amplification and a pre-amplification method for confirming genomic integrity.

Indexed as

Cell NucleusMyocardiumDNAHumansMyocytes, CardiacRNASingle-Cell AnalysisDNARNAHeartPostmortem tissueRNA sequencingSingle cardiomyocyteSingle-nucleiWhole genome amplificationWhole genome sequencing

Identifiers

PMID36977444
PMCPMC10192033
OpenAlexW4360981313

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.