Somatic mutation in single human neurons tracks developmental and transcriptional history

By Michael A. Lodato, Mollie B. Woodworth, Semin Lee, Gilad D. Evrony, Bhaven K. Mehta, Amir Karger, Soohyun Lee, T. Chittenden, Alissa M. D’Gama, Xuyu Cai and 4 more. 2015

538 citations recorded by the source corpus.

Subfields: Cancer Research, Genetics, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cancer Research

1. Casey S. Greene
2. G. Way
3. Jinbo Xu
4. Jay Shendure

In Genetics

1. Brett K. Beaulieu-Jones
2. Casey S. Greene
3. Zhiyong Lu
4. Jinbo Xu
5. Daniel S. Himmelstein
6. Jay Shendure
7. Anshul B Kundaje
8. Avanti Shrikumar

In Molecular Biology

1. Casey S. Greene
2. Yifan Peng
3. Brett K. Beaulieu-Jones
4. G. Way
5. Amr M. Alexandari
6. Zhiyong Lu
7. Avanti Shrikumar
8. S. Joshua Swamidass

Citations in the corpus

• Opportunities and obstacles for deep learning in biology and medicine (2017, background): “For instance, tumor cells and neurons can both harbor extensive somatic variation [212].”
• Whole organism lineage tracing by combinatorial and cumulative genome editing (2016, background): “52 However, somatic mutations are distributed throughout the genome, necessitating whole 53 genome sequencing, (14, 15), which is expensive to scale beyond small numbers of cells and 54 not readily compatible with in situ readouts (19, 20).”