New Method Sees Into More Cells Than Ever Before

August 12, 2020

A new technology developed at the Weizmann Institute of Science may help answer outstanding questions about the immune system, cancer, Alzheimer’s, and more.

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. As reported in Cell, the Weizmann research group has developed a technology that enables them to see inside tens of thousands of individual cells at once in greater details than ever before.

The group, headed by Professor Ido Amit of the Institute’s Immunology Department, applied this method to define the immune cells that infiltrate tumours, identifying a new subset of innate immune cells that ‘collaborate’ with cancer. Blocking these inhibitory immune cells in mice greatly enhanced the anti-tumour immune response, killing the cancer.

Amit and his group had previously made significant inroads into seeing into cells when they developed single cell RNA-sequencing – a means of sequencing all of the RNA in thousands of individual cells at once. The new technique, called INs-seq (intracellular staining and sequencing) – developed in Amit’s lab in a project led by research students Yonatan Katzenelenbogen, Fadi Sheban, Adam Yalin and Dr Assaf Weiner – enables scientists to measure, in addition to the RNA, numerous proteins, processes and biochemical pathways occurring inside each of the cells.

To do this, they had to develop new methods of getting inside the cell membranes without harming its genetic content. This wealth of ‘inside information’ can help them draw much finer distinctions between different cell subtypes and activities than is possible with existing methods, most of which are able to measure surface proteins only.

In fact, Amit compares those existing methods of cell characterisation with buying watermelons: They all appear identical from the outside, even though they can taste completely different when you open them up. Distinguishing between subtypes of cells that seem identical from the outside, such as inhibitory- versus effector-immune cells, may be crucial to when it comes to fighting off cancer.

Although the principal groups of immune cells had been identified many decades ago, there are hundreds of subtypes with many different functions, which haven’t been classified.

“Specific immune subtypes, for example, may play a role in promoting cancer or enabling it to evade the immune system, provoke tissue destruction by overreacting to a virus or act mistakenly in autoimmune syndromes, attacking our own body,” said Sheban

“Until now, there was no sufficiently sensitive means of telling these apart from other subtypes that appear identical from the outside.”

In order to sort through these different immune functions inside tumours, the Weizmann scientists used their technology to address an issue that researchers had been trying to resolve for decades: Why does the immune system fail to recognize and kill cancer cells, and why does immunotherapy for most tumour types often fail?

In searching for an answer, they asked whether cancers might hijack and manipulate particular immune cells to ‘defend’ the cancer cells from the rest of the immune system.

“The suspicion that some kind of immune cell might be actively ’collaborating‘ with cancer is not as strange as it seems,” explained Yalin.

“Immune responses are often meant to be short-lived, so the immune system has its own mechanisms for shutting them down. Cancers could take advantage of such mechanisms, enhancing the production of the ’shut-down‘ immune cells, which, in turn, could prevent such immune cells as T lymphocytes that would normally kill them from taking action.”

Indeed, the team succeeded in identifying T-cell-blocking immune cells, which belonged to a general group known as myeloid cells – a broad group of innate immune cells that mostly originate in the bone marrow. Although this particular subset of suppressive myeloid cells was new, it was distinguished by a prominent signalling receptor that Amit and his group had seen before, called TREM2.

This receptor is critical for the activity of the cells that block the actions of tumour-killing T cells; and normally cells bearing this receptor are crucial for preventing excess tissue damage after injury or calming an inflammatory immune response. But Amit had also come across a version of this receptor in other immune cells involved in Alzheimer’s disease, metabolic syndrome and other immune-related pathologies.

The group’s next step is to develop an immunotherapy treatment using specific antibodies that target this receptor and could prevent these immune-suppressive cells from supporting the tumour.

“Because this receptor is only expressed when there is some type of pathology, targeting it will not damage healthy cells in the body,” said Weiner.

Preliminary evidence for the TREM2 therapeutics was demonstrated by the scientists in mouse models of cancer with genetically ablated TREM2 receptors. In those mice, tumour-killing T cells “came back to life” and attacked the cancer cells; and the tumours shrank significantly. If treatment based on this finding is, in the future, proven effective for human use, it might be administered on its own or in combination with other forms of immunotherapy.

Yeda Research and Development, the technology transfer arm of the Weizmann Institute of Science, is currently working with Amit to develop this immunotherapy antibody for clinical use and there has already been a great deal of interest in INs-seq technology.

“Clarifying the mechanisms of autoimmune and neurodegenerative diseases, and answering the question of why the immune system often fails in its fight against cancer or why most patient do not respond to existing immunotherapy – all of these may come down to specific actions of subsets of immune cells,” said Katzenelenbogen.

“We believe INs-seq may help researchers identify those particular cells and develop new therapies to treat them.”

Also participating in this research were Ido Yofe, Dmitry Svetlichnyy, Diego Adhemar Jaitin, Chamutal Bornstein, Adi Moshe, Hadas Keren-Shaul, Merav Cohen, Shuang-Yin Wang, Baoguo Li, Eyal David Tomer-Meir Salame, all of the Weizmann Institute of Science.


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