Corrigendum to ‘Osteostaticytes: A novel osteoclast subset couples bone resorption and bone formation’[Journal of Orthopaedic Translation 47 (2024) 144–160, (S2214031X24000639), (10.1016/j.jot.2024.06.010)]

Abstract

The authors regret that there are several mistakes in this online version. Please find our correction below. 1st. According to the comments from the reviewers, the title should be changed from “Osteostaticytes: A novel osteoclast subset couples bone resorption and bone formation” to “Osteostaticytes: a novel subset at the earlier stage of the osteoclast lineage driving MSC recruitment and osteoblastogeneis”. 2nd. The legends of E, F, G in Figure 1 should be deleted. Figure1 legend should include only A, B, C, D. Here is the original published content of Figure.1 legend. “Figure 1. Cell atlas among normal, infected, and reconstructed cortical bone tissues. A) Schematic workflow of the experimental strategy. Single-cell suspensions were collected from the lesions of patients with normal long bone fracture, patients with osteomyelitis and patients subjected to removal of internal fixation after bone reconstruction. B) Representative preoperative radiographs of patients with lesions, including X-ray, radionuclide bone imaging and MRI. C) The t-distributed stochastic neighbour embedding (t-SNE) plot of the 18 identified main cell types in human cortical bone lesions. D) Heatmap of selected lineage cell marker genes in each cell cluster. Relative expression map of known marker genes associated with each cell subset. Mean expression values were scaled by mean centering and transformed to a scale from −2 to 2. E) The t-SNE plot divided by 3 distinct sample states (normal bone, infected bone, and reconstructed bone) depicting all identified main cell types in human cortical bone lesions. F) Histogram depicting the proportion of cells from different sample sources in each cell cluster. G) Histogram depicting the relative proportion of each cell cluster among the respective sample states in all cortical bone lesions as indicated. The values of the detailed relative proportion of each cell cluster are provided in the supplementary data file.”. Here is the amended content of Figure.1 legends. “Figure 1. Cell atlas among normal, infected, and reconstructed cortical bone tissues. A) Schematic workflow of the experimental strategy. Single-cell suspensions were collected from the lesions of patients with normal long bone fracture, patients with osteomyelitis and patients subjected to removal of internal fixation after bone reconstruction. B) Representative preoperative radiographs of patients with lesions, including X-ray, radionuclide bone imaging and MRI. C) The t-distributed stochastic neighbour embedding (t-SNE) plot of the 18 identified main cell types in human cortical bone lesions. D) Heatmap of selected lineage cell marker genes in each cell cluster. Relative expression map of known marker genes associated with each cell subset. Mean expression values were scaled by mean centering and transformed to a scale from −2 to 2.” 3rd. Figure 2 legend should be updated as follows: Here is the original published content of Figure.2 legend. “Figure 2. Identification of IDO1^highCCL3^highCCL4^high osteostaticytes during osteoclast lineage differentiation. A) t-SNE plot showing the three main cell types of osteoclast lineage cells. B) Monocle 2 trajectory plot showing the pseudotime curve of the whole osteoclast lineage. C) Monocle pseudospace trajectory revealing the dynamics and distribution of macrophage, OCL1 and OCL2 subclusters. D) Pseudotemporal expression dynamics of specific marker genes (ACP5, CD14, CD74 and CTSK). All single cells in the macrophage, OCL1 and OCL2 cell lineages are ordered based on pseudotime. E) t-SNE plot showing 5 reclustered subclusters of the osteoclast lineage in cortical bone lesions (osteostaticytes 0, macrophages 1, osteomorphs 2, preosteoclasts 3 and osteoclasts 4). F) Heatmap depicting the average expression levels per cluster of the top differentially expressed markers in 5 subclusters. G) Monocle 2 trajectory revealing the distinct pseudospace distribution and order of 5 subclusters. H) Dot plots showing the expression of the 11 signature genes across the 5 subclusters. The size of the dots represents the proportion of cells expressing the particular marker, and the colour spectrum indicates the mean expression levels of the markers. I) Monocle 2 trajectory revealing distinct marker gene expression patterns along with pseudotime (ACP5, AXL, CCL3, CCL4, IDO1, CD14 and CTSK). J) The t-SNE plot divided by 3 distinct sample states (normal bone, infected bone and reconstructed bone) depicting 5 subclusters in human cortical bone lesions.” Here is the amended content of Figure.2 legends. “Figure 2. Identification of IDO1^highCCL3^highCCL4^high osteostaticytes during osteoclast lineage differentiation. A) The t-SNE plot divided by 3 distinct sample states (normal bone, infected bone, and reconstructed bone) depicting all identified main cell types in human cortical bone lesions. B) Histogram depicting the proportion of cells from different sample sources in each cell cluster. C) Histogram depicting the relative proportion of each cell cluster among the respective sample states in all cortical bone lesions as indicated. The values of the detailed relative proportion of each cell cluster are provided in the supplementary data file. D) t-SNE plot showing the three main cell types of osteoclast lineage cells. E) Monocle 2 trajectory plot showing the pseudotime curve of the whole osteoclast lineage. F) Monocle pseudospace trajectory revealing the dynamics and distribution of macrophage, OCL1 and OCL2 subclusters. G) Pseudotemporal expression dynamics of specific marker genes (ACP5, CD14, CD74 and CTSK). All single cells in the macrophage, OCL1 and OCL2 cell lineages are ordered based on pseudotime. H) t-SNE plot showing 5 reclustered subclusters of the osteoclast lineage in cortical bone lesions (osteostaticytes 0, macrophages 1, osteomorphs 2, preosteoclasts 3 and osteoclasts 4). I) Heatmap depicting the average expression levels per cluster of the top differentially expressed markers in 5 subclusters. J) Monocle 2 trajectory revealing the distinct pseudospace distribution and order of 5 subclusters. K) Dot plots showing the expression of the 11 signature genes across the 5 subclusters. The size of the dots represents the proportion of cells expressing the particular marker, and the colour spectrum indicates the mean expression levels of the markers. L) Monocle 2 trajectory revealing distinct marker gene expression patterns along with pseudotime (ACP5, AXL, CCL3, CCL4, IDO1, CD14 and CTSK). M) The t-SNE plot divided by 3 distinct sample states (normal bone, infected bone and reconstructed bone) depicting 5 subclusters in human cortical bone lesions.” 4th. In the section of immunofluorescence (IF) assay, SM. Table 2 should be changed to SM. Table. 1. Here is the original content of in Immunofluorescence (IF) assay section. “Bone tissues were collected from clinical surgery were the same as scRNA samples (SM. Table. 2).” Here is the amended content of in Immunofluorescence (IF) assay section. “Bone tissues were collected from clinical surgery were the same as scRNA samples (SM. Table. 1).” 5th. SM.Table 1 should be Patient information but not q-PCR primers. SM.Table1 is the Multimedia component 2 (spreadsheet). 6th. SM. Figure 1 legend: “(E) The procedures for microCT image analysis.” should be deleted.>. The authors would like to apologise for any inconvenience caused. 7th. The correct affiliation for Jian Zhou is “Institute of Immunology, PLA, Third Military Medical University (Army Medical University), Chongqing, PR China”.