Axonal endoplasmic reticulum 2026-11-05
Axonal endoplasmic reticulum is the predominantly smooth tubular endoplasmic reticulum network extending through an axon. It connects the organization of a membrane compartment to the long geometry of a neuron. Network amount, tubule diameter, number of tubules per cross-section and continuity along the axon are distinct structural properties.[ref]
Modeling of axonal endoplasmic reticulum network by spastic paraplegia proteins by Belgin Yalçın and others. Abstract; Figure 7, axonal ER structure and quantification
A 2017 study in Drosophila melanogaster combined optical imaging with serial-section electron microscopy. Reconstructions from seventy-five sections covered of axon. Comparing sections revealed tubular branches and continuity that one cross-section alone could not establish.[ref]
Modeling of axonal endoplasmic reticulum network by spastic paraplegia proteins by Belgin Yalçın and others. Figure 7F and K, serial-section reconstructions; Results, axonal ER ultrastructure
The investigated membrane-shaping-protein mutants showed enlarged tubules and a less extensive network. Measurements of gaps separately considered gap length, number per length and the proportion of axonal length affected.[ref]
Modeling of axonal endoplasmic reticulum network by spastic paraplegia proteins by Belgin Yalçın and others. Figure 7B–O and associated Results
An invented comparison explains why those readouts differ. Two axon segments each contain one detected gap, but their gap lengths are and . Both gap-count densities are , while their affected-length fractions are two percent and twenty percent. Equal counts can conceal a tenfold difference in the extent affected.
The observation criterion matters too. The study's serial-imaging definition required absent tubule signals in at least three successive sections.[ref]
Modeling of axonal endoplasmic reticulum network by spastic paraplegia proteins by Belgin Yalçın and others. Video 9 legend and Axonal EM analyses
Such an operational criterion connects a structural claim to what the images can resolve; it does not make every dark or faint region in a single image a demonstrated break in a three-dimensional network. Belgin Yalçın 2026-11-05
Belgin Yalçın is a researcher whose work includes the organization of axonal endoplasmic reticulum. She was first author of the 2017 study connecting membrane-shaping proteins to the tubular endoplasmic reticulum network in Drosophila melanogaster axons.[ref]
The research combined different kinds of evidence. Fluorescence recovery after photobleaching investigated movement of a fluorescent marker, while electron microscopy examined the network's structure. Mutants lacking particular membrane-shaping proteins had larger, fewer tubules and occasional discontinuities. A functional imaging readout and a structural reconstruction therefore addressed related questions about the same compartment.[ref]
Modeling of axonal endoplasmic reticulum network by spastic paraplegia proteins by Belgin Yalçın and others. Figure 5 and Live imaging and FRAP; Figure 7 and Axonal EM analyses
An invented counting example illustrates why the unit of comparison matters. Suppose one animal has detected gaps in two of ten examined axons and another in eight of one hundred. The two animal-level fractions are and , with arithmetic mean . Pooling the axons instead gives . Neither calculation is an arithmetic mistake: they give different weight to the two animals. A biological interpretation must say whether animals or individual axons define the comparison.
This contribution helped relate membrane geometry to the maintenance of a long cellular extension. The presence, caliber and continuity of a tubular network are distinct observations, and a proposed physiological consequence requires evidence beyond a static image alone.[ref]
Modeling of axonal endoplasmic reticulum network by spastic paraplegia proteins by Belgin Yalçın and others. Discussion, structural phenotypes and proposed consequences
Belgin Yalçın
. Portrait explicitly identified in the Stanford Medicine Monje laboratory members page: med.stanford.edu/monje-lab/people.html . Her Stanford publication record lists the 2017 axonal ER paper: profiles.stanford.edu/belgin-yalcin . C. J. O'Kane 2026-11-05
Cahir J. O'Kane is a geneticist whose work includes developing enhancer trap experiments in Drosophila melanogaster. His institutional account places that work during his postdoctoral period with Walter Jakob Gehring in Basel. The original 1987 paper's first-page byline gives Cahir J. O'Kane and Walter J. Gehring.[ref]
Professor Cahir O'Kane profile by Churchill College. biography, Basel postdoctoral work and enhancer trapping
[ref]Detection in situ of genomic regulatory elements in Drosophila by C. J. O'Kane and W. J. Gehring. PNAS 84, page 9123, original byline
The experiment used a P element to place a weak-promoter reporter gene in different genomic contexts. Beta-galactosidase activity provided a visible readout of reporter expression. About seventy percent of forty-nine transformed lines showed spatially regulated expression in embryos, demonstrating the method's ability to recover distinct regulatory patterns.[ref]
Detection in situ of genomic regulatory elements in Drosophila by C. J. O'Kane and W. J. Gehring. Abstract and Results, promoter/reporter design and transformed-line observations
A pattern is a starting point for a biological question. For example, a hypothetical reporter restricted to one tissue identifies a useful expression domain, but does not alone establish the full normal expression of a nearby gene or prove that only one enhancer caused the pattern. Additional mapping and comparisons address those questions.
O'Kane's Cambridge research profile also describes work on the organization of axonal endoplasmic reticulum in Drosophila neurons. It connects the geometry and continuity of this membrane network with cellular function.[ref]
Cahir O'Kane research profile by the Department of Genetics at Cambridge. first-person biography and Research Interests, axonal ER organization
Both research themes use an experimentally tractable model organism to turn a difficult cellular or regulatory property into an observable phenotype.