ArticleJournal of thrombosis and haemostasis : JTH2018
Evolutionary conservation of the allosteric activation of factor VIIa by tissue factor in lamprey.
Article in Journal of thrombosis and haemostasis : JTH, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 7 citations in OpenAlex.
- Domain-Shuffling in the Evolution of Cyclostomes and Gnathostomes.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2025Article
- Genetic duplication of tissue factor reveals subfunctionalization in venous and arterial hemostasis.PLoS genetics · 2022Article
- Article
Corrections and comments
- Commented on by
- Commented on by
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Essentials Tissue factor (TF) enhances factor VIIa (FVIIa) activity through structural and dynamic changes. We analyzed conservation of TF-activated FVIIa allosteric networks in extant vertebrate lamprey. Lamprey Tf/FVIIa molecular dynamics show conserved Tf-induced structural/dynamic FVIIa changes. Lamprey Tf activation of FVIIa allosteric networks follows molecular pathways similar to human. SUMMARY: Background Previous studies have provided insight into the molecular basis of human tissue factor (TF) activation of activated factor VII (FVIIa). TF-induced allosteric networks of FVIIa activation have been rationalized through analysis of the dynamic changes and residue connectivities in the human soluble TF (sTF)/FVIIa complex structure during molecular dynamics (MD) simulation. Evolutionary conservation of the molecular mechanisms for TF-induced allosteric FVIIa activation between humans and extant vertebrate jawless fish (lampreys), where blood coagulation emerged more than 500 million years ago, is unknown and of considerable interest. Objective To model the sTf/FVIIa complex from cloned Petromyzon marinus lamprey sequences, and with comparisons to human sTF/FVlla investigate conservation of allosteric mechanisms of FVIIa activity enhancement by soluble TF using MD simulations. Methods Full-length cDNAs of lamprey tf and f7 were cloned and characterized. Comparative models of lamprey sTf/FVIIa complex and free FVIIa were determined based on constructed human sTF/FVIIa complex and free FVIIa models, used in full-atomic MD simulations, and characterized using dynamic network analysis approaches. Results Allosteric paths of correlated motion from Tf contact points in lamprey sTf/FVIIa to the FVIIa active site were determined and quantified, and were found to encompass residue-residue interactions along significantly similar paths compared with human. Conclusions Despite low conservation of residues between lamprey and human proteins, 30% TF and 39% FVII, the structural and protein dynamic effects of TF activation of FVIIa appear conserved and, moreover, present in extant vertebrate proteins from 500 million years ago when TF/FVIIa-initiated extrinsic pathway blood coagulation emerged.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.