Back

Species-Specific Roles of RIPK1 and TRADD in TNF-Induced Cell Death Reveal a Translational Gap Between Mouse Models and Human Biology

Ai, Y.;Yan, B.;Deng, Z.;Deng, B.;Wang, J.;Yuan, J.;Yu, K.;Liu, Y.;Lin, H.

2026-06-29 Cell Biology
10.64898/2026.06.28.735126 bioRxiv
Show abstract

Mouse models have historically been central to studies of TNF-induced cell death and guided pharmaceutical translation into clinic, based on the assumption that TNF signaling is conserved between human and mouse. Here, our work uncovers critical species-specific differences between the two. By systematically dissecting the roles of RIPK1, TRADD, and sensitivity to RIPK1 inhibitors in TNF signaling--including RIPK1 kinase-dependent and-independent apoptosis--we found that both apoptosis modalities diverge between human and mouse cells. In mouse cells, RIPK1 suppresses TRADD-mediated kinase-independent apoptosis, whereas in human cells, RIPK1 and TRADD act redundantly. Moreover, RIPK1 inhibitors block kinase-dependent apoptosis in mouse but not human cells, despite effectively inhibiting RIPK1 S166 phosphorylation. Cross-species complementation revealed that these discrepancies stem not from RIPK1 itself but from cell-context differences. These findings echo the clinical failures of RIPK1 inhibitors despite efficacy in mouse models and underscore the need for humanized models and therapeutics that more faithfully predict clinical outcomes.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Nature Communications
5641 papers in training set
Top 13%
13.0%
2
eLife
5828 papers in training set
Top 10%
9.7%
3
EMBO Reports
263 papers in training set
Top 0.3%
6.7%
4
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 7%
6.2%
5
Cell Death & Differentiation
48 papers in training set
Top 0.1%
5.1%
6
Science Signaling
65 papers in training set
Top 0.1%
4.8%
7
Science Advances
1243 papers in training set
Top 6%
4.4%
50% of probability mass above
8
Cell Death & Disease
126 papers in training set
Top 0.6%
4.0%
9
Cell Reports
1498 papers in training set
Top 12%
3.2%
10
Neuron
337 papers in training set
Top 2%
3.2%
11
The EMBO Journal
309 papers in training set
Top 2%
2.4%
12
Cell Chemical Biology
94 papers in training set
Top 0.7%
1.9%
13
Advanced Science
286 papers in training set
Top 4%
1.9%
14
Communications Biology
993 papers in training set
Top 14%
1.7%
15
Molecular Cell
350 papers in training set
Top 3%
1.7%
16
Immunity
67 papers in training set
Top 1%
1.5%
17
Cell
431 papers in training set
Top 7%
1.5%
18
Nature
645 papers in training set
Top 8%
1.1%
19
Scientific Reports
3612 papers in training set
Top 65%
1.1%
20
PLOS ONE
5266 papers in training set
Top 55%
1.1%
21
JCI Insight
277 papers in training set
Top 7%
1.0%
22
Developmental Cell
196 papers in training set
Top 4%
1.0%
23
Nature Medicine
125 papers in training set
Top 3%
1.0%
24
Cell Death Discovery
58 papers in training set
Top 1%
0.9%
25
Journal of Clinical Investigation
179 papers in training set
Top 6%
0.8%
26
EMBO Molecular Medicine
95 papers in training set
Top 3%
0.8%
27
PLOS Biology
486 papers in training set
Top 12%
0.8%
28
iScience
1154 papers in training set
Top 35%
0.8%
29
Journal of Biological Chemistry
690 papers in training set
Top 9%
0.8%
30
Molecular Systems Biology
162 papers in training set
Top 4%
0.6%