Tag Archives: The Stem Cell Blog

A molecular on/off switch for CRISPR – Phys.Org

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2017-03-28 NEWS

Phys.Org

A molecular on/off switch for CRISPR
Phys.Org
This image shows how the CRISPR surveillance complex is disabled by two copies of anti-CRISPR protein AcrF1 (red) and one AcrF2 (light green). These anti-CRISPRs block access to the CRISPR RNA (green tube) preventing the surveillance …more.

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2017-03-28 NEWS

Nature.com

Japanese man is first to receive ‘reprogrammed’ stem cells from another person
Nature.com
The surgery is expected to set the path for more applications of iPS cell technology, which offers the versatility of embryonic stem cells without the latter’s ethical taint. Banks of iPS cells from diverse donors could make stem cell transplants more

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2017-03-28 NEWS

EurekAlert (press release)

A molecular on/off switch for CRISPR
EurekAlert (press release)
The research team, co-led by biologist Gabriel C. Lander of The Scripps Research Institute (TSRI), discovered that anti-CRISPR proteins work by locking down CRISPR’s ability to identify and attack the viral genome. One anti-CRISPR protein even “mimics” …

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2017-03-28 NEWS

EurekAlert (press release)

A molecular on/off switch for CRISPR
EurekAlert (press release)
The research team, co-led by biologist Gabriel C. Lander of The Scripps Research Institute (TSRI), discovered that anti-CRISPR proteins work by locking down CRISPR’s ability to identify and attack the viral genome. One anti-CRISPR protein even “mimics” …

and more »

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2017-03-28 NEWS

Phys.Org

Discovery of a new regulatory protein provides new tool for stem cell engineering
Phys.Org
An artistic rendering showing that the interaction between SMARCAD1 and H3R26Cit modified histones can be skillfully manipulated — as if in a game of pinball — to regulate the switch of embryonic stem cells from the naïve to the primed pluripotent state.

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2017-03-28 NEWS

Immuno-Oncology News

Chronix Blood Test Can Predict Cancer Patients’ Response to Immunotherapy, Study Shows
Immuno-Oncology News
Chronix’s test predicted treatment response and disease control or progression with 83 percent accuracy. It also predicted disease progression after one cycle of immunotherapy with 92 percent accuracy, and after two cycles with 100 percent accuracy.