An engineer can list every part in a system and still miss how it works. Think of a radio. Its parts matter, but so does the wiring that joins them. The same is true in living cells. A July 2026 study of immune cells found that cell function depends not only on genes and proteins, but also on how those parts are linked.
The study, published in Nature Communications, looked at T follicular helper (Tfh) cells. These immune cells help B cells (immune cells that produce antibodies) make strong, long-lasting antibody responses. Scientists knew many genes and proteins were tied to Tfh cells. Yet looking at those parts one at a time did not fully explain how the cells form and work.1
To get a clearer picture, the team built a tool called CoreNet. It joined several kinds of data, including gene control, protein links, gene activity, and changes that affect how DNA is used.1 Instead of studying each part alone, the team used CoreNet to study how the parts work together, or how they network with each other.
By observing the system from that particular angle, they found patterns in genes that would have been missed if each part of the system had been analyzed individually. The team began with about 1,200 possible gene control factors and narrowed them to 152 vital ones. They also found 27 protein groups that included 184 genes. When these two network types were combined, CoreNet found 60–69% of known Tfh-related genes. Either network alone found only 45–55%.1 The links between the parts added useful information.
Why did the combined map work better? Each data layer answers a different question. Gene control data shows which genes may turn other genes on or off. Protein data shows which molecules can interact after genes are active. When both layers point to the same pathway, researchers gain a fuller picture of how the cell is controlled. That is the value of the network approach: it connects separate observations into one working map.
The University of Pittsburgh described the network method as seeing the “full pie” instead of separate slices.2 That fits an engineering view. A part’s role depends on where it is placed, what it connects to, and how signals move through those links. ICR has made a similar point about living networks. Biological control systems use organized connections and rules to carry out their tasks.3
Together, these CoreNet findings show a basic systems rule: organization is important. Genes and proteins do not act as a loose pile of parts. They work in linked control systems that help a cell do its job. As scientists map these cell networks, they find not only remarkable parts but also ordered connections that allow the whole system to give its most optimal performance. The tiniest building blocks of life are “fearfully and wonderfully made” (Psalm 139:14).
References
- Omelchenko, A. A. et al. 2026. A Unified Network Systems Approach Uncovers a Core Program Underlying T Follicular Helper Cell Differentiation. Nature Communications. 17, article 9099.
- Jones, A. From Single Slice to the Full Pie: New Network Framework Resolves Debate in Immune Cell Development. University of Pittsburgh news release. Posted on immunology.pitt.edu July 22, 2026.
- Guliuzza, R. J. 2019. Biological Networks Feature Finest Engineering Principles. Acts & Facts. 48 (1): 17–19.
* Dr. Corrado earned a Ph.D. in systems engineering from Colorado State University and a Th.M. from Liberty University. He is a freelance contributor to ICR’s Creation Science Update, works in the nuclear industry, and is a Captain in the U.S. Naval Reserve.













