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Related Concept Videos

Ribosome Profiling02:24

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...
X-ray Diffraction of Biological Samples01:10

X-ray Diffraction of Biological Samples

X-ray diffraction or XRD is an analytical tool that utilizes X-rays to study ordered structures such as crystalline organic and inorganic samples, polycrystalline materials, proteins, carbohydrates, and drugs.
According to Bragg's law, when X-rays strike the sample positioned on a stage, the rays are  scattered by the electron clouds around the sample atoms. The  X-ray diffraction or scattering is caused by constructive interference of the X-ray waves that reflect off the internal crystal...
Osteoclasts in Bone Remodeling01:31

Osteoclasts in Bone Remodeling

Osteoclasts are cells responsible for bone resorption and remodeling. They originate from hematopoietic progenitor cells present in the bone marrow. Numerous progenitor cells fuse to form multinucleated cells, each with 10-20 nuclei. A single osteoclast has a diameter of 150 to 200 µM. These cells have ruffled borders that break down the underlying bone tissue and release minerals such as calcium into the blood in bone resorption. Osteoclasts cling to bones with their ruffled edges during bone...
Bone Remodeling and Repair01:31

Bone Remodeling and Repair

Osteoclasts are cells responsible for bone resorption and remodeling. They originate from hematopoietic progenitor cells present in the bone marrow. Numerous progenitor cells fuse to form multinucleated cells, each with 10-20 nuclei. A single osteoclast has a diameter of 150 to 200 µM. These cells have ruffled borders that break down the underlying bone tissue and release minerals such as calcium into the blood in bone resorption. Osteoclasts cling to bones with their ruffled edges during bone...
Bone Disorders01:29

Bone Disorders

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Bone deposition is also affected by the levels of sex hormones like estrogen and testosterone that promote osteoblast activity and bone matrix synthesis. When the level of these hormones decreases due to aging, it causes a reduction in bone deposition. As a result, bone resorption by osteoclasts...
Hormones and Bone Tissue01:17

Hormones and Bone Tissue

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Related Experiment Video

Updated: Jun 16, 2026

Semiautomated Longitudinal Microcomputed Tomography-based Quantitative Structural Analysis of a Nude Rat Osteoporosis-related Vertebral Fracture Model
07:12

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Published on: September 28, 2017

Raman spectroscopic fingerprinting uncovers a multi-scale structural-mechanical-transcriptomic coupling landscape in

Jinyang Wang1,2, Yongxi Lu1,2,3, Xinwei Zhou1,2

  • 1Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, China.

Frontiers in Endocrinology
|June 15, 2026
PubMed
Summary

Researchers identified a unique Raman spectroscopy fingerprint for osteoporosis, revealing changes in bone composition, structure, and mechanics. This finding offers new insights into bone fragility and improved diagnostic strategies for osteoporosis.

Keywords:
Raman spectroscopybone compositionosteoporosissingle-cell RNA sequencingtrabecular bone

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Methods to Enable Spatial Transcriptomics of Bone Tissues
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Methods to Enable Spatial Transcriptomics of Bone Tissues

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Last Updated: Jun 16, 2026

Semiautomated Longitudinal Microcomputed Tomography-based Quantitative Structural Analysis of a Nude Rat Osteoporosis-related Vertebral Fracture Model
07:12

Semiautomated Longitudinal Microcomputed Tomography-based Quantitative Structural Analysis of a Nude Rat Osteoporosis-related Vertebral Fracture Model

Published on: September 28, 2017

Comprehensive Characterization of Tissue Mineralization in an Ex Vivo Model
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Methods to Enable Spatial Transcriptomics of Bone Tissues
07:43

Methods to Enable Spatial Transcriptomics of Bone Tissues

Published on: May 3, 2024

Area of Science:

  • Biomaterials Science
  • Skeletal Biology
  • Translational Medicine

Background:

  • Osteoporosis is a skeletal disorder marked by decreased bone strength and increased fracture risk.
  • Current evaluations of bone health primarily rely on bone mineral density and microarchitecture, which do not fully capture tissue-level material properties contributing to fragility.
  • This study integrates multi-scale data to explore bone material properties in osteoporosis.

Purpose of the Study:

  • To identify a conserved compositional fingerprint of osteoporotic trabecular bone using Raman spectroscopy.
  • To integrate Raman-derived compositional data with microarchitectural, mechanical, and transcriptomic information.
  • To develop a refined framework for evaluating bone quality in osteoporosis.

Main Methods:

  • Trabecular bone alterations were analyzed using Raman spectroscopy in murine models of aging and ovariectomy-induced osteoporosis.
  • A linear support vector machine (LSVM) classifier was employed for automated phenotyping of Raman spectra.
  • Raman spectral features were integrated with micro-CT, nanoindentation, and single-cell RNA sequencing (scRNA-seq) of bone marrow mesenchymal stem cells (BMMSCs).

Main Results:

  • A conserved osteoporotic Raman fingerprint was identified, characterized by reduced phosphate and collagen signals and increased lipid-associated bands.
  • These compositional signatures correlated with structural deterioration, reduced hardness, and altered elastic modulus.
  • Single-cell RNA sequencing revealed parallel shifts in BMMSC transcriptomic programs related to mineral, extracellular matrix, and lipid metabolism.

Conclusions:

  • Raman-based compositional fingerprinting offers a multidimensional approach to bone evaluation.
  • This cross-scale framework refines osteoporosis assessment by integrating structural, mechanical, and transcriptomic data.
  • The findings provide mechanistic insights into bone fragility and support the development of advanced diagnostic strategies for osteoporosis.