Back

A bone fragment-based protocol for molecular analysis of osteocyte-associated transcripts in human bone specimens

Nishizawa, C.; Seki, S.; Isomura, E. T.; Namikawa, M.; Harada, K.; Yokota, Y.; Aikawa, T.; Michigami, T.; Miyagawa, K.

2026-05-23 cell biology
10.64898/2026.05.20.726438 bioRxiv
Show abstract

Osteocytes play a central role in bone remodeling, mineral metabolism, and skeletal homeostasis, but direct molecular analysis of human osteocytes remains technically challenging because they are embedded within the mineralized bone matrix. Surgically obtained human bone specimens provide valuable material for studying human bone biology; however, surface-associated cells, marrow-derived cells, and adherent soft tissues can confound downstream transcript analysis. Here, we describe a bone fragment-based protocol for preparing surgically obtained human bone specimens for molecular analysis of osteocyte-associated transcripts. The protocol consists of mechanical trimming, mincing into small bone fragments, repeated washing, and five sequential rounds of collagenase digestion to reduce non-osteocytic cellular components associated with the bone surface and marrow spaces. The remaining mineralized bone fragments are then frozen in liquid nitrogen, cryogenically pulverized, and lysed in TRIzol reagent for total RNA extraction. Histological validation using residual maxillary bone specimens showed that sequential collagenase digestion markedly reduced adherent soft tissue and extra-matrix nuclei while preserving osteocyte lacunar occupancy. This protocol provides a practical workflow for bone fragment-based RNA analysis focused on osteocyte-associated transcripts in human bone specimens. Specifications table O_TBL View this table: org.highwire.dtl.DTLVardef@1cec618org.highwire.dtl.DTLVardef@2f746forg.highwire.dtl.DTLVardef@1854247org.highwire.dtl.DTLVardef@1c26c1aorg.highwire.dtl.DTLVardef@1473a88_HPS_FORMAT_FIGEXP M_TBL C_TBL

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Journal of Visualized Experiments
30 papers in training set
Top 0.1%
19.0%
2
Bone
22 papers in training set
Top 0.1%
12.9%
3
PLOS ONE
4510 papers in training set
Top 21%
8.6%
4
JBMR Plus
16 papers in training set
Top 0.1%
4.9%
5
Laboratory Investigation
13 papers in training set
Top 0.1%
4.0%
6
Scientific Reports
3102 papers in training set
Top 34%
3.7%
50% of probability mass above
7
Journal of Bone and Mineral Research
32 papers in training set
Top 0.2%
1.9%
8
Frontiers in Endocrinology
53 papers in training set
Top 0.9%
1.9%
9
Methods in Ecology and Evolution
160 papers in training set
Top 1%
1.9%
10
Journal of Orthopaedic Research
19 papers in training set
Top 0.2%
1.8%
11
Genomics, Proteomics & Bioinformatics
171 papers in training set
Top 3%
1.8%
12
Analytical Chemistry
205 papers in training set
Top 1%
1.7%
13
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 4%
1.7%
14
STAR Protocols
15 papers in training set
Top 0.1%
1.7%
15
eLife
5422 papers in training set
Top 41%
1.7%
16
Frontiers in Physiology
93 papers in training set
Top 3%
1.4%
17
International Journal of Molecular Sciences
453 papers in training set
Top 9%
1.4%
18
SLAS Technology
11 papers in training set
Top 0.1%
1.2%
19
Current Protocols
13 papers in training set
Top 0.1%
1.1%
20
BioTechniques
24 papers in training set
Top 0.2%
1.0%
21
The FASEB Journal
175 papers in training set
Top 2%
1.0%
22
Science Advances
1098 papers in training set
Top 28%
0.8%
23
Biochemical and Biophysical Research Communications
78 papers in training set
Top 2%
0.8%
24
iScience
1063 papers in training set
Top 31%
0.8%
25
Frontiers in Immunology
586 papers in training set
Top 8%
0.7%
26
Cells
232 papers in training set
Top 7%
0.7%
27
Royal Society Open Science
193 papers in training set
Top 5%
0.7%
28
Advanced Science
249 papers in training set
Top 22%
0.7%
29
Physiological Reports
35 papers in training set
Top 1%
0.7%
30
Biomaterials Advances
20 papers in training set
Top 0.8%
0.5%