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Integrative single-cell analysis of cardiogenesis identifies developmental trajectories and non-coding mutations in congenital heart disease

Cell(2022)10.1016/j.cell.2022.11.028Source: DataRank Database

Integrative single-cell analysis of cardiogenesis identifies developmental trajectories and non-coding mutations in congenital heart disease is a research paper published in Cell (2022). On theSindex it has a DataRank of 0. It has been cited 107 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access107 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (23 grants)Impact (FWCI 6.90)OA: greenTopics (35)Linked Datasets (6)DataCite Reuse (6)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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Authors (20)

Laksshman Sundaram ORCID,Mengcheng Shen ORCID,Abhimanyu Banerjee ORCID,Soumya Kundu,Surag Nair ORCID

Live enrichment

PubMed:36563664 PMC:PMC10122433 OpenAlex:https://openalex.org/W4312211397

NHLBI NIH HHS

Grant: K08 HL119251

NHLBI NIH HHS

Grant: R01 HL139679

NHGRI NIH HHS

Grant: UM1 HG009436

NHLBI NIH HHS

Grant: R01 HL139478

NHLBI NIH HHS

Grant: R01 HL171045

NIH HHS

Grant: S10 OD021763

NHGRI NIH HHS

Grant: R35 HG011324

NIAMS NIH HHS

Grant: R61 AR076815

NIAID NIH HHS

Grant: U19 AI057266

NHLBI NIH HHS

Grant: R01 HL145708

NHLBI NIH HHS

Grant: R01 HL150414

NIH HHS

Grant: S10 OD025212

NIGMS NIH HHS

Grant: DP2 GM123485

NHGRI NIH HHS

Grant: UM1 HG009442

NHGRI NIH HHS

Grant: UM1 HG011972

NHGRI NIH HHS

Grant: RM1 HG007735

NHLBI NIH HHS

Grant: K99 HL135258

NHLBI NIH HHS

Grant: R01 HL134817

NHLBI NIH HHS

Grant: R01 HL156846

NIGMS NIH HHS

Grant: R01 GM136737

NHLBI NIH HHS

Grant: R01 HL151535

NIH HHS

Grant: S10 OD018220

NHGRI NIH HHS

Grant: U01 HG012069

FWCI

6.90

Citation Percentile

1.0%

Citation Trend

2022

2023

2024

2025

2026

greenLicense: http://www.elsevier.com/open-access/userlicense/1.0/

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10122433/pdf/nihms-1858872.pdf

publisherhttps://api.elsevier.com/content/article/PII:S0092867422015033?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0092867422015033?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10122433

Fields of Study

Congenital heart defects researchSingle-cell and spatial transcriptomicsRNA modifications and cancerHumansChromatinHeart Defects, CongenitalHeartMutationSingle-Cell Analysis

MeSH Terms

ChromatinHeartHeart Defects, CongenitalHumansMutationSingle-Cell Analysis

Keywords

BiologyChromatinCell typeEpigenomicsTranscription factorCellular differentiationGeneticsHeart developmentEpigeneticsHeart diseaseEpigenesisCellComputational biologyTranscriptomeCell biologyEmbryonic stem cellGeneGene expressionPathologyDNA methylation

Sustainable Development Goals

SDG 0: Good health and well-being

Additional file 1 of Current genomic deep learning models display decreased performance in cell type-specific accessible regions

10.6084/m9.figshare.26461775.v1figshare

Additional file 1 of Current genomic deep learning models display decreased performance in cell type-specific accessible regions

10.6084/m9.figshare.26461775figshare

Additional file 3 of Current genomic deep learning models display decreased performance in cell type-specific accessible regions

10.6084/m9.figshare.26756767.v1figshare

Additional file 3 of Current genomic deep learning models display decreased performance in cell type-specific accessible regions

10.6084/m9.figshare.26756767figshare

Additional file 2 of Current genomic deep learning models display decreased performance in cell type-specific accessible regions

10.6084/m9.figshare.26461884.v1figshare