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image: Cell Lines Gain Cancer-Related Mutations

Cell Lines Gain Cancer-Related Mutations

By | April 27, 2017

A screen of human embryonic stem cell lines finds several that accumulated changes in the gene TP53, including aberrations commonly seen in cancer.

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The lungs of extremely premature lambs supported in a closed, sterile environment that enables fluid-based gas exchange grow and develop normally, researchers report.

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image: Image of the Day: Stop Signals

Image of the Day: Stop Signals

By | April 17, 2017

Transcytosis, suppression of vesicle traffic across cells, helps reduce permeability in the blood-retinal barrier during development.

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image: CRISPR-Based Nucleic Acid Test Debuts

CRISPR-Based Nucleic Acid Test Debuts

By | April 13, 2017

SHERLOCK combines CRISPR-Cas13a with isothermal RNA amplification to detect RNA and DNA with single-base specificity.

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image: DNA Replication Errors Contribute to Cancer Risk

DNA Replication Errors Contribute to Cancer Risk

By | March 23, 2017

A follow-up study confirms that random mutations acquired during normal stem cell division likely play a major role in cancer incidence.

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image: Image of the Day: Tubular Origins

Image of the Day: Tubular Origins

By | March 23, 2017

Murine neural tubes, with each image highlighting a different embryonic tissue type (blue). The neural tube itself (left) grows into the brain, spine, and nerves, while the mesoderm (middle) develops into other organs, and the ectoderm (right) forms skin, teeth, and hair.

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Researchers report growing a mouse embryo using two types of early stem cells.

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image: Infant Brain Scans May Predict Autism Diagnosis

Infant Brain Scans May Predict Autism Diagnosis

By | February 17, 2017

A computer algorithm can identify the brains of autism patients with moderate accuracy based on scans taken at six months and one year of age.

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The Donald Danforth Plant Science Center researcher links complex traits to the genes that underlie them.

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image: From the Ground Up

From the Ground Up

By | February 1, 2017

Instrumental in launching Arabidopsis thaliana as a model system, Elliot Meyerowitz has since driven the use of computational modeling to study developmental biology.

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