Cholesterol trafficking in steroidogenic cells is a research paper published in European Journal of Biochemistry (1993). On theSindex it has a DataRank of 1.5. It has been cited 29 times, with 29 citing works in its 1-hop citation network.
Peptide hormones activate steroid hormone biosynthesis in responsive tissues by stimulating the delivery of cholesterol to a steroidogenic pool, thought to be located in the inner mitochondrial membrane. At this site, it is metabolized to pregnenolone, the precursor of the steroid hormones, by side‐chain‐cleaving cytochrome P‐450 (cytochrome P‐450scc). In the presence of aminoglutethimide (an inhibitor of cytochrome P‐450scc) and an activating stimulus, cholesterol accumulates in the steroidogenic pool, and increased pregnenolone generation is observed upon removal of the inhibitor. Using Y‐1 adrenocortical cells and MA‐10 Leydig tumor cells, we now provide evidence for a distinct, functionally relevant cholesterol pool which precedes the steroidogenic pool, which we designate the pre‐steroidogenic pool. This pool was defined by activating the cells with 8‐bromo‐adenosine 3′,5′‐cyclic monophosphoric acid in the presence of cycloheximide, an inhibitor of steriodogenesis. Following a wash procedure, which removed 8‐bromo‐adenosine 3′,5′‐cyclic monophosphoric acid and cyclohcximide, augmented pregnenolone synthesis was observed. Unlike synthesis from the steroidogenic pool, pregnenolone formation from pre‐steroidogenic pool in Y‐1 cells indicates that this pool is somewhat smaller than the steroidogenic pool. The results support a cholesterol‐trafficking model in which cycloheximide‐sensitive transport from the pre‐steroidogenic pool to the steroidogenic pool precedes metabolism, and is regulated by cAMP.
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Base Score Contribution
0.510
From this paper's citation signal
Citation Network Contribution
0.970
From 27 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 34% comes from its base citations and 66% from the citation network (27 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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