University of California, San Francisco (UCSF)/Fluidigm Corporation Paper Proves Shallow Sequencing Of Related Single Cells Sufficient To Harvest Meaningful Biological Information

SOUTH SAN FRANCISCO, Calif.--(BUSINESS WIRE)--In a paper published in Nature Biotechnology this week, UC San Francisco and Fluidigm Corporation (NASDAQ:FLDM) scientists have demonstrated that shallow single-cell mRNA sequencing (approximately 50,000 reads per cell) is sufficient for unbiased classification of cell identities.

The study shows shallow sequencing of single cells provides enough data to distinguish cells with similar attributes. The shallower depth reduced the sequencing required by two orders-of-magnitude (dropping from 5 million to 50,000 reads), thus dramatically lowering the proportional cost of sequencing. Researchers found that increasing the number of cells studied, instead of sequencing to greater depth, provided a better understanding of the diversity and range of expression in total cell populations.

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