RNA Sequencing of Single Human Islet Cells Reveals Type 2 Diabetes Genes.

By Yurong Xin, Jinrang Kim, H. Okamoto, M. Ni, Yi Wei, Christina Adler, A. Murphy, G. Yancopoulos, Calvin Lin, J. Gromada. Cell Metabolism, 2016

614 citations recorded by the source corpus.

Subfields: Genetics, Oncology, Surgery

View Paper: https://www.semanticscholar.org/paper/0b1982fa1c5f92e707fb81da4954b80b2af987c2

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In Genetics

1. Martin Hemberg
2. Tallulah S. Andrews

Citations in the corpus

• A benchmark of batch-effect correction methods for single-cell RNA sequencing data (2020, methodology): “Dataset 4 was constructed using human pancreatic data from five different sources [33 – 37 This is a large dataset with 321,463 bone marrow cells in batch 1 and 300,003 cord blood-derived cells in batch 2 [43].”
• A comparison of automatic cell identification methods for single-cell RNA sequencing data (2019, background): “All 5 pancreatic data-sets were obtained from https://hemberg-lab.github.io/ scRNA.seq.datasets/ (Baron Mouse: GSE84133, Baron Human: GSE84133, Muraro: GSE85241, Segerstolpe: E-MTAB-5061, Xin: GSE81608).”
• Challenges in unsupervised clustering of single-cell RNA-seq data (2019, methodology): “As an example, in October 2016, scRNA­ seq studies of the adult human pancreas were published by five separate groups 87–91 .”