IISc scientists develop technique to study cancer cells

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An interdisciplinary team of researchers from the Indian Institute of Science (IISc) has made a breakthrough in the field of identifying cancer cells by using a 3D tumour model and magnetically-driven nanomotors to probe the microenvironment of these cells. The team consists of researchers from the Centre for Nano Science and Engineering (CeNSE) and Department of Molecular Reproduction, Development and Genetics (MRDG).

"What came as a beautiful surprise was that within such a milieu, we found that aggressive cancer cells ended up remodelling their surroundings by making them stickier, and richer in specific charged sugars," Assistant Professor at MRDG and one of the senior authors Ramray Bhat observed.

"This charging can potentially be used to target and kill tiny populations of cancer cells hidden among their normal counterparts, for which we are extending these studies to living animals," he added.

In their work, published in Angewandte Chemie, the team has steered helical nanomotors remotely via an external magnetic field through the tumour model to sense, map and quantify changes in the cellular environment.

"We believe these findings will find use as targeting strategies in future in-vivo applications, in quantifications of cancer aggressions and as biophysical probes to study the extracellular environment of cancer," the team concluded in the journal.

"The model comprises both healthy and cancer cells embedded within a reconstituted basement membrane matrix, and mimics the breast cancer environment," the paper published Angewandete Chemie stated.

While a note released by the IISc claimed that this study also highlights a new way of targeting cancer cells by maneuvering nanomotors inside a tumour and waiting for them to localise in the vicinity of the cancerous site.

"We tried driving the nanomotors toward cancer cells in a tumour model and observed them getting stuck to the matrix near cancer cells, but this was not observed near normal cells," the co-first author and PhD student at the CeNSE Debayan Dasgupta said.

The IISc note further claimed that the extracellular matrix (ECM) is a complex 3D network of proteins and carbohydrates secreted by living cells into their neighbourhood.

"However, when cancer cells secrete fresh material into the ECM, it disrupts the chemical and physical composition of the native ECM surrounding healthy cells, degrading the local environment.

Therefore, understanding how the cellular microenvironment is altered due to cancer cells and measuring these changes quantitatively could be vital in understanding the progression of cancer," Dasgupta disclosed.

In the current study, the researchers discovered that as the nanomotors approached the cancer cell membrane, they stuck to the matrix more strongly than they would to normal cells. To measure how strongly the nanomotors bound to the matrix, the team calculated the magnetic field strength required to overcome the adhesive force, and move forward.

"This means that the cancer cells are doing something. So, we did some measurements and discovered that the adhesive force depended on the type of cells, the strength of interaction and also which side of the cell the nanomotor approached," Associate Professor at CeNSE and one of the senior authors Ambarish Ghosh explained.

"In the end, we really ended up discovering a physical property of an important biological environment," he said.

The reason why the nanomotors appear to stick to the cancer cells better is their charged ECM. This may be due to the presence of 2, 3-linked sialic acid, a sugar-conjugated molecule which confers a negative charge on the cancer cell environment, the researchers found. They visualised the distribution of these sugars using fluorescent markers and found that sialic acids were distributed up to 40 micrometres from the cancer cell surface -- the same distance until which the nanomotors experienced strong adhesion.

To counter this adhesive effect, the team coated the nanomotors with Perfluorooctyltriethoxysilane (PFO) which shielded them from the charged environment.

"The coated nanomotors did not stick to the matrix near the cancer cells, whereas the uncoated motors clung to the matrix, confirming the fact that the negatively charged cancer microenvironment interacts with the incoming nanomotors, rendering them immobile," the paper published Angewandete Chemie read.

Prof. Ghosh further added that they have demonstrated how investigation of maneuverability of the nanomotors can be used to spatially differentiate between cancerous and non-cancerous cell niches that were engineered to coexist within tissue-like environment.

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Scientists create ‘virtual Arctic’ to monitor impact of humans on frozen environment

The Digital Smart Arctic will simulate realistic processes taking place in the environment and predict any problems linked to mining and drilling for oil and gas. Picture: Sergey Anisimov
By The Siberian Times reporter: Hi-tech project would use computer models to predict climate change and help with safe production of oil and gas in Northern Russia. A hi-tech virtual Arctic is being created by Siberian scientists to predict climate change and monitor the impact of mining and oil production on the roof of the world. The frozen northern region is thought to be rich with natural resources, particularly oil and gas, and a number of countries including Russia plan exploiting untapped reserves. However, environmentalists have expressed concerns about the possible knock-on effect of industrialisation and pollution. But a new computer project being developed by experts at the Siberian branch of the Russian Academy of Science will help answer many of the questions. The Digital Smart Arctic will simulate realistic processes taking place in the environment and predict any problems linked to mining and drilling for oil and gas. It will also be able to model complex safety systems, analyse pollution sources and their impact, study volcanic activity in the area and look at the climate of the Arctic basin. Being designed at the RAS Institute of Computational Mathematics and Mathematical Geophysics (ICM&MG), it will be able to make predictions decades in advance. A presentation on the project was given to scientists in Moscow by Sergey Kabanikhin, the deputy head of the ICM&MG.
The information will be incorporated into models mimicking processes in the Arctic to monitor and predict any changes in the environment. Pictures: Sergey Anisimov, Arctica Info
While it will have many uses, including being able to monitor global weather patterns and natural disasters, it will be of particular interest in the safe development of oil and gas. The system will be able to incorporate data from a number of satellites and land stations across Europe, Siberia and the Russian Far East. That information will then be incorporated into models mimicking processes in the Arctic to monitor and predict any changes in the environment. Data on what is happening in Northern Russia will be given special emphasis with patterns used to create both short-term and long-term economic planning, for agriculture, mining and the development of transport infrastructure. According to Kabanikhin it will be vital in mapping pollution in the Arctic once the excavation of oil and gas is under way, since there will be burning flare stacks in place. The experts would be able to look at the impact of petrocarbohydrate pollution in the same way that analysis has taken place for polyaerosol nickel compounds in Norilsk. The exploration of the Arctic for oil and gas reserves is considered more technically challenging than in any environment so far as a result of the cold and ice. In 2008, a US Geological Survey found that areas north of the Arctic Circle have about 90 billion barrels of undiscovered oil. Russia is eager to develop the frozen region with a new oil field discovered in October christened 'Pobeda', meaning victory. Meanwhile scientists believe there is a need to establish a Situational Analysis Centre for the Arctic, based on the Siberian supercomputer centre of the RAS and the data centre of Novosibirsk State University.Source: Article
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