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Literature DB >> 33500565

Building a high-quality Human Cell Atlas.

Orit Rozenblatt-Rosen¹, Jay W Shin², Jennifer E Rood¹, Anna Hupalowska¹, Aviv Regev^1,3,4, Holger Heyn^5,6.

Abstract

Entities: Species

Year: 2021 PMID： 33500565 DOI： 10.1038/s41587-020-00812-4

Source DB: PubMed Journal: Nat Biotechnol ISSN： 1087-0156 Impact factor: 54.908

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Cited

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10 in total

1. Variant to function mapping at single-cell resolution through network propagation.

Authors: Fulong Yu; Liam D Cato; Chen Weng; L Alexander Liggett; Soyoung Jeon; Keren Xu; Charleston W K Chiang; Joseph L Wiemels; Jonathan S Weissman; Adam J de Smith; Vijay G Sankaran
Journal: Nat Biotechnol Date: 2022-06-06 Impact factor: 54.908

2. Towards community-driven metadata standards for light microscopy: tiered specifications extending the OME model.

Authors: Mathias Hammer; Maximiliaan Huisman; Alessandro Rigano; Ulrike Boehm; James J Chambers; Nathalie Gaudreault; Alison J North; Jaime A Pimentel; Damir Sudar; Peter Bajcsy; Claire M Brown; Alexander D Corbett; Orestis Faklaris; Judith Lacoste; Alex Laude; Glyn Nelson; Roland Nitschke; Farzin Farzam; Carlas S Smith; David Grunwald; Caterina Strambio-De-Castillia
Journal: Nat Methods Date: 2021-12 Impact factor: 47.990

Review 3. Single-cell analysis of cell identity in the Arabidopsis root apical meristem: insights and opportunities.

Authors: Rachel Shahan; Trevor M Nolan; Philip N Benfey
Journal: J Exp Bot Date: 2021-10-13 Impact factor: 7.298

4. Micro-Meta App: an interactive tool for collecting microscopy metadata based on community specifications.

Authors: Alessandro Rigano; Shannon Ehmsen; Serkan Utku Öztürk; Joel Ryan; Alexander Balashov; Mathias Hammer; Koray Kirli; Ulrike Boehm; Claire M Brown; Karl Bellve; James J Chambers; Andrea Cosolo; Robert A Coleman; Orestis Faklaris; Kevin E Fogarty; Thomas Guilbert; Anna B Hamacher; Michelle S Itano; Daniel P Keeley; Susanne Kunis; Judith Lacoste; Alex Laude; Willa Y Ma; Marco Marcello; Paula Montero-Llopis; Glyn Nelson; Roland Nitschke; Jaime A Pimentel; Stefanie Weidtkamp-Peters; Peter J Park; Burak H Alver; David Grunwald; Caterina Strambio-De-Castillia
Journal: Nat Methods Date: 2021-12-03 Impact factor: 28.547

10. Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data.

Authors: Aleksandr Ianevski; Anil K Giri; Tero Aittokallio
Journal: Nat Commun Date: 2022-03-10 Impact factor: 14.919

10 in total

Building a high-quality Human Cell Atlas.

1. Variant to function mapping at single-cell resolution through network propagation.

2. Towards community-driven metadata standards for light microscopy: tiered specifications extending the OME model.

Review 3. Single-cell analysis of cell identity in the Arabidopsis root apical meristem: insights and opportunities.

4. Micro-Meta App: an interactive tool for collecting microscopy metadata based on community specifications.

Review 5. Single-Cell Transcriptional Analysis Deciphers the Inflammatory Response of Skin-Resident Stromal Cells.

6. The Transcriptome of SH-SY5Y at Single-Cell Resolution: A CITE-Seq Data Analysis Workflow.

Review 7. Challenges and Opportunities for the Translation of Single-Cell RNA Sequencing Technologies to Dermatology.

8. Variant to function mapping at single-cell resolution through network propagation.

9. MUON: multimodal omics analysis framework.

10. Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data.