Back

Selective activation of LH-dependent transcriptional pathways determines ovulatory follicles in the hierarchical ovary of cloudy catshark

Inoue, R.; Kinugasa, T.; Nagasaka, K.; Tokunaga, K.; Ijiri, S.; Hyodo, S.

2026-04-14 physiology
10.64898/2026.04.10.717848 bioRxiv
Show abstract

The number of offspring produced per reproductive cycle varies widely across animals and is constrained by the number of ovarian follicles that proceed to ovulation. In vertebrates, this phenomenon has been explained by a luteinizing hormone receptor (LHR)-threshold model, in which only follicles expressing sufficient levels of LHR respond to the LH surge and proceed to ovulation. Here we propose a novel mechanism that explains the difference between ovulatory (F1) and non-ovulatory (F2) follicles using the cloudy catshark as a model. The cloudy catshark possesses a hierarchical ovary and produces only two eggs per reproductive cycle. Both F1 and F2 follicles are capable of receiving and responding to LH, as evidenced by their comparable expression of lhr and the downregulation of lhr following LH surge. Nevertheless, LH stimulation selectively activates transcriptional programs associated with the ovulatory process exclusively in F1 follicles. These include progesterone production via star2 upregulation, as well as cancer-associated transcriptional pathways, including transcription factors runxs, prostaglandin-related genes (ptgs2 and ptger1), and matrix metalloproteinases. These results indicate that ovulatory and non-ovulatory follicles may exhibit qualitatively distinct transcriptional responses to the LH surge, potentially challenging the prevailing LHR-threshold model in vertebrates, in which LHR expression is considered a key determinant of ovulatory competence.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
eLife
5422 papers in training set
Top 3%
12.6%
2
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 0.2%
10.0%
3
iScience
1063 papers in training set
Top 0.8%
7.1%
4
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 11%
6.3%
5
Cell Reports
1338 papers in training set
Top 7%
6.3%
6
Scientific Reports
3102 papers in training set
Top 31%
3.9%
7
Endocrinology
38 papers in training set
Top 0.1%
3.6%
8
Journal of Experimental Biology
249 papers in training set
Top 1%
2.9%
50% of probability mass above
9
Current Biology
596 papers in training set
Top 7%
2.7%
10
Frontiers in Physiology
93 papers in training set
Top 2%
2.6%
11
Science Advances
1098 papers in training set
Top 10%
2.6%
12
Nature Communications
4913 papers in training set
Top 45%
2.3%
13
PNAS Nexus
147 papers in training set
Top 0.1%
2.1%
14
Mathematical Biosciences
42 papers in training set
Top 0.4%
2.1%
15
The FASEB Journal
175 papers in training set
Top 0.9%
1.8%
16
Journal of The Royal Society Interface
189 papers in training set
Top 3%
1.7%
17
PLOS Biology
408 papers in training set
Top 9%
1.7%
18
PLOS ONE
4510 papers in training set
Top 55%
1.7%
19
International Journal of Molecular Sciences
453 papers in training set
Top 9%
1.5%
20
PLOS Genetics
756 papers in training set
Top 10%
1.5%
21
EMBO reports
136 papers in training set
Top 3%
1.5%
22
Proceedings of the Royal Society B: Biological Sciences
341 papers in training set
Top 5%
1.2%
23
Communications Biology
886 papers in training set
Top 14%
1.2%
24
Cells
232 papers in training set
Top 5%
0.9%
25
Biophysical Journal
545 papers in training set
Top 4%
0.9%
26
Nucleic Acids Research
1128 papers in training set
Top 18%
0.7%
27
Journal of Neuroendocrinology
19 papers in training set
Top 0.4%
0.7%
28
Open Biology
95 papers in training set
Top 2%
0.7%
29
American Journal of Physiology-Regulatory, Integrative and Comparative Physiology
13 papers in training set
Top 0.4%
0.7%
30
Biology of Reproduction
28 papers in training set
Top 0.3%
0.7%