Social networks shed light on how genomes are organized


Did you know that DNA and proteins are interconnected into communities within the nuclei of cells? It’s true, and now computational biologists at Carnegie Mellon University have taken an algorithm used to study social networks, such as Facebook communities, and adapted it to understanding this most fundamental of biological processes.

The research underscores just how much mystery remains in the quest to understand how complex living beings function. Scientists have come to appreciate that DNA, proteins, and other components within the nucleus appear to form structurally and functionally important communities, but the behavior and structures of these communities has long been perplexing. 

According to Jian Ma, associate professor in CMU’s Computational Biology Department, unraveling this mystery may prove key to understanding basic cellular processes and disease mechanisms, such as aging and cancer development.

What’s known is that the proximity of genes and proteins plays an important role in expression. It’s also becoming clear that the way DNA folds and packages genes has a lot in common with relationships that form in Facebook communities. That insight led CMU researchers Dechao Tian and Ruochi Zhang to develop a new algorithm called MOCHI that subdivides the interwoven nuclear components into communities to better understand how they interoperate.

MOCHI was inspired by the work of computer scientist Jure Leskovec, who specializes in the analysis of large social and information networks. The algorithm analyzes the spatial relationships of all the genes in a nucleus. When applied to different cell types, MOCHI identified what appear to be hundreds of communities within the nuclei of these cell types.

The insights may one day make it easier for researchers to understand what each DNA community might do. Much more work remains to identify the function and behavior of each of these communities, Ma said, but the MOCHI algorithm gives researchers a starting point for study.

“There’s a reason why these communities are formed in the nucleus,” he said. “We just don’t know the formation mechanisms of these communities yet.” 

In addition to Ma, Tian and Zhang, authors a new paper based on this research include Yang Zhang and Xiaopeng Zhu, a research associate and a project scientist, respectively, in the Computational Biology Department. The National Institutes of Health, including its 4D Nucleome Program, and the National Science Foundation supported the work.

About the author

E-Crypto News was developed to assist all cryptocurrency investors in developing profitable cryptocurrency portfolios through the provision of timely and much-needed information. Investments in cryptocurrency require a level of detail, sensitivity, and accuracy that isn’t required in any other market and as such, we’ve developed our databases to help fill in information gaps.

Related Posts

E-Crypto News Executive Interviews

Automated trading with HaasBot Crypto Trading Bots

Crypto Scams

Millions in Cryptocurrency Stolen by Scammers in the Last Month According to Tenable Research
November 24, 2021
Behind The Scenes: How this Crypto Community Responded to + $50m Hack
October 18, 2021
Crypto Scams
Crypto Scams Still Persistent In 2021, SEC Warns About Red Flags To Watch
September 9, 2021
Poly Network
Here’s How Hackers Stole Over $600 million in the Poly Network Attack
August 12, 2021
The World’s Most Infamous Crypto Hacks and Scams
July 31, 2021

Blockchain/Cryptocurrency Questions and Answers

How Does Bitcoin Casino Work + 2021 Beginner’s Guide
November 8, 2021
How to Buy and Sell Cryptocurrency
November 8, 2021
What Are Bitcoin Futures And How Will They Work In 2022?
November 4, 2021
The Unconventional Guide to Ethereum
October 28, 2021
ICo Presale
The Science Behind ICO Presales…
October 14, 2021

CryptoCurrencyUSDChange 1hChange 24hChange 7d
Bitcoin42,123 0.01 % 0.07 % 4.23 %
Ethereum3,146.1 0.02 % 0.80 % 6.87 %
Binance Coin469.12 0.07 % 1.23 % 3.65 %
Tether1.000 0.04 % 0.06 % 0.06 %
USD Coin1.000 0.04 % 0.13 % 0.05 %
Cardano1.350 0.14 % 4.67 % 3.57 %
Solana137.58 0.36 % 1.07 % 9.44 %
XRP0.7430 0.17 % 0.27 % 7.42 %
Terra82.28 0.18 % 2.98 % 0.02 %
Polkadot24.58 0.09 % 0.84 % 10.14 %

Bitcoin (BTC) $ 42,239.00
Ethereum (ETH) $ 3,154.81
Binance Coin (BNB) $ 468.21
Tether (USDT) $ 1.00
USD Coin (USDC) $ 1.00
Cardano (ADA) $ 1.36
Solana (SOL) $ 137.94
XRP (XRP) $ 0.74298
Terra (LUNA) $ 82.62
Polkadot (DOT) $ 24.68