Cell Biology

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Scientists unlock behavior of an enzyme involved in cancer spread

A new insight into cell signals that control cancer growth and migration could help in the search for effective anti-cancer drugs. A McGill-led study reveals key biochemical processes that advance our understanding of colorectal cancer, the third most common cancer among Canadians.

12 Aug 2020

Adaptive features of single neurons supply memory for language processing

To understand language, we have to remember the words that were uttered and combine them into an interpretation.

12 Aug 2020

Researchers develop an integrated technology for seeing into cells at greater detail

Invading cells' private space - prying into their internal functions, decisions and communications - could be a powerful tool that may help researchers develop new immunotherapy treatment for cancer.

12 Aug 2020

SUTD scientists use 3D printing to create heart cells from stem cells

All humans start out from a single cell which then divides to eventually form the embryo. Depending on the signals sent by their adjacent cells, these divided cells are then developed or differentiated into specific tissues or organs.

11 Aug 2020

A magnetic-sensitive artificial catalyst can remotely control chemical reactions inside living cells

The enzymes responsible for catalytic reactions in our body's biological reactions are difficult to use for diagnosis or treatment as they react only to certain molecules or have low stability.

10 Aug 2020

Scientists find new way of identifying and targeting hidden HIV viral reservoirs during ART therapy

Scientists at The Wistar Institute may have discovered a new way of identifying and targeting hidden HIV viral reservoirs during treatment with antiretroviral therapy (ART).

7 Aug 2020

Researchers establish new 3D in vitro model for pulmonary arterial hypertension

Pulmonary arterial hypertension is a rare--albeit deadly--disease that affects the arteries of the lung. In PAH, abnormal growth of cells of the vascular media--or the elastic wall--of the pulmonary arteries, called pulmonary arterial smooth muscle cells, results in thickening of the walls.

7 Aug 2020

NSD2 enzyme protects against cellular senescence

Researchers from Kumamoto University in Japan have used comprehensive genetic analysis to find that the enzyme NSD2, which is known to regulate the actions of many genes, also works to block cell aging.

7 Aug 2020

Advanced analysis offers new insights into immune system’s role in severe COVID-19

By conducting advanced analyses of immune system activation in patients with severe COVID-19, researchers at Karolinska Institutet have managed to identify several cell types that play a key part in the immune response to the new coronavirus and the hyperinflammation seen in severe cases of the disease.

7 Aug 2020

Study reveals the genetic cause of congenital malformation

Study by the University of Bonn reveals that genetic information controls development of the urinary tract, rectum and genitals Spontaneous mutations of a single gene are likely to cause serious developmental disorders of the excretory organs and genitalia.

7 Aug 2020

Study: Early training of cell development and network improves response

When it comes to training neural circuits for tissue engineering or biomedical applications, a new study suggests a key parameter: Train them young.

7 Aug 2020

Researchers investigate the survivability of E. coli bacteria based on fast or slow growth

Bacteria are survival artists: When they get nutrition, they multiply rapidly, albeit they can also survive periods of hunger.

7 Aug 2020

Immune system derails during severe course of COVID-19

Contrary to what has been generally assumed so far, a severe course of COVID-19 does not solely result in a strong immune reaction - rather, the immune response is caught in a continuous loop of activation and inhibition.

6 Aug 2020

Researchers develop a deep learning-based algorithm for predicting sites of DNA methylation

A team of researchers from New Jersey Institute of Technology and Children's Hospital of Philadelphia have developed an algorithm through machine learning that helps predict sites of DNA methylation - a process that can change the activity of DNA without changing its overall structure - and could identify disease-causing mechanisms that would otherwise be missed by conventional screening methods.

6 Aug 2020