Literature DB >> 25278030

Variations of chromosomes 2 and 3 gene expression profiles among pulmonary telocytes, pneumocytes, airway cells, mesenchymal stem cells and lymphocytes.

Minghuan Zheng1, Xiaoru Sun, Miaomiao Zhang, Mengjia Qian, Yonghua Zheng, Meiyi Li, Sanda M Cretoiu, Chengshui Chen, Luonan Chen, Dragos Cretoiu, Laurentiu M Popescu, Hao Fang, Xiangdong Wang.   

Abstract

Telocytes (TCs) were identified as a distinct cellular type of the interstitial tissue and defined as cells with extremely long telopodes (Tps). Our previous data demonstrated patterns of mouse TC-specific gene profiles on chromosome 1. The present study focuses on the identification of characters and patterns of TC-specific or TC-dominated gene expression profiles in chromosome 2 and 3, the network of principle genes and potential functional association. We compared gene expression profiles of pulmonary TCs, mesenchymal stem cells, fibroblasts, alveolar type II cells, airway basal cells, proximal airway cells, CD8(+) T cells from bronchial lymph nodes (T-BL), and CD8(+) T cells from lungs (T-LL). We identified that 26 or 80 genes of TCs in chromosome 2 and 13 or 59 genes of TCs up- or down-regulated in chromosome 3, as compared with other cells respectively. Obvious overexpression of Myl9 in chromosome 2 of TCs different from other cells, indicates that biological functions of TCs are mainly associated with tissue/organ injury and ageing, while down-expression of Pltp implies that TCs may be associated with inhibition or reduction of inflammation in the lung. Dominant overexpression of Sh3glb1, Tm4sf1 or Csf1 in chromosome 3 of TCs is mainly associated with tumour promotion in lung cancer, while most down-expression of Pde5 may be involved in the development of pulmonary fibrosis and other acute and chronic interstitial lung disease.
© 2014 The Authors. Journal of Cellular and Molecular Medicine published by John Wiley & Sons Ltd and Foundation for Cellular and Molecular Medicine.

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Keywords:  TCs; chromosome 2; chromosome 3; fibroblasts; lung; mesenchymal stem cells

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Year:  2014        PMID: 25278030      PMCID: PMC4244019          DOI: 10.1111/jcmm.12429

Source DB:  PubMed          Journal:  J Cell Mol Med        ISSN: 1582-1838            Impact factor:   5.310


Introduction

Telocytes (TCs) were first described as a distinct cell type in 2010 1,2, followed by a significant growing of research globally 3,4, as detailed in www.telocytes.com. TCs were found in multiple tissues and organs, such as heart 5–7, kidney 8 and urinary tract 9,10, skin 11,12 eye 13, mammary gland 14, digestive tract 15,16, skeletal muscles 17 and neuromuscular spindles 18, uterus 19–22 and placenta 2, liver 23 and gall bladder 24,25, pleura 26, trachea 27 and lungs 28. TCs are mainly recognized and characterized by electron microscopy, the only technique able to highlight their characteristic extensions – the telopodes (Tps), consisting of thin segments – podomers, alternating with dilated regions – podoms 1. Other characteristics of Tps include: (i) the unusual and varied length, between tens and thousands of micrometres; (ii) the branching network pattern, forming a labyrinthine system; (iii) the communications through homo-and heterocellular junctions exosome and ectosome release 6,20,22. TCs were found to link nerve fibres, blood vessels, secretory acini and exocrine epithelial ducts 29–31, and different cell types, e.g. macrophages, lymphocytes, mast cells, stem cells 32–34. TCs form 3-dimensional networks within organs/tissues 20,35. Networks integrity may be affected in many pathological conditions, such as systemic sclerosis 36, skin basal and squamous cell carcinomas 37 and Crohn's disease 38. Telocytes differ from fibroblasts (Fbs) and mesenchymal stem cells (MSCs) as demonstrated by miR signatures and genetic profiles 15,39,40. Proteomic signatures of the TCs are also supportive for the uniqueness and helpful in understanding of the functions. The data from omics studies demonstrated that elements within TCs are involved in (i) intercellular signalling, (ii) mechanical sensing and mechanochemical conversion task, (iii) tissue homoeostasis and remodelling/renewal, (iv) anti-oxidative stress and anti-ageing cellular mechanisms, (v) cancer cell proliferation through the inhibition of apoptosis 40,41. Our recent work explored patterns of mouse TC-specific gene profiles on chromosome 1 and showed important roles for TCs in the prevention of tissue inflammation and fibrogenesis, development of lung inflammatory diseases or modulation of immune cell responses 42. However, dominant patterns and specificity of gene and protein profiles of TCs which are different from other cells existed in the lung is still not completed and unclear. The present study undertakes an in-depth analysis to find out the characters and patterns of TC-specific or TC-dominated gene expression profiles in chromosome 2 and 3, investigate the network of principle genes, and explore potential functional association. Comparisons are made among pulmonary TCs, MSCs, Fbs, alveolar type II cells (ATII), airway basal cells (ABCs), proximal airway cells (PACs), CD8+T cells from bronchial lymph nodes (T-BL) and CD8+ T cells from lung (T-L), which may interact with TCs in the lung and trachea. Furthermore, we applied the most complete reference library of the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus database to identify key functional genes, and characteristic networks by bioinformatics tools.

Material and methods

Isolation and culture

Telocytes were isolated from the lung tissues of mice, primary cultured in a concentration of 1 × 105 cells/cm2, and harvested on days 5 (TC D5) and on days 10 (TC D10), as described previously 43. RNA isolation, preparation, labelling, and hybridization were performed for DNA microarray (The Mouse 4 × 44K Gene Expression Array, Agilent, Shanghai, China). About 39,000+ mouse genes and transcripts represented with public domain annotations were gained, according to the protocol of One-Color Microarray-Based Gene Expression Analysis. The hybridized arrays were washed, fixed and scanned by the Agilent DNA Microarray Scanner (part number G2505B).

Data collection and mining

We selectively collected gene expression profiles of pulmonary TCs on days 5 (TC D5) and 10 (TC D10), Fbs, MSCs, from our study 43, ATII, ABCs, PACs, T-BL and T-L, from the NCBI Gene Expression Omnibus database (GSE6846 44, GSE27379 45, GSE28651 46). The microarray was composed of 45,101 probes. We eliminated the probe sets without corresponding official symbol, leaving 39,417 probes and 21,680 genes. The gene expression profiles are from our earlier study, which are composed of 23,861 probes, of pulmonary TCs on days 5 and 10, Fbs and MSCs are composed of 23,861 probes 43. There were 13,236 probes and 11,545 genes after further eliminating the probes without corresponding official symbol, which we focused on in the present study. From the total of 11,545 genes, 917 genes of the chromosome 2 and 567 genes of the chromosome 3 were analysed.

Identification of differentially expressed genes

There are about 20,000–25,000 genes in mouse, of which about 85% are similar with humans, and the propensity of functional changes was reflected in different levels of the gene expression in particular cell types. We used gene expression profiles between mouse lung cells to seek for the specific regulated and identify genes specific to TCs and their function. The fold change was utilized to identify differentially expressed genes or simply differential genes. Up-or down-regulated folds of TCs genes were calculated as compared with other cells and subtracted its own multiple of TCs, after the average of gene expression in each cell was obtained from the raw data of multi-databases, as shown in Data S1.

Results

The final data analysis by bioinformatics tools showed that in chromosome 2, 26 genes were overexpressed in TCs, as compared with those in other cells (Table1). Among them, 20 genes (1110008F13Rik, 2310003F16Rik, 2900064A13Rik, Abl1, Ass1, Commd3, Commd7, Creb3l1, Dlgap4, Edf1, Id1, Manbal, Mocs3, Psmc3, Sdccag3, Slc39a13, Snai1, Spc25, Tubb2c, Srxn1) were overexpressed between 0 and 1 folds (Table1A). Four genes, Dbndd2 (Dysbindin domain-containing protein 2), Fbn1 (fibrillin 1), Tfpi (tissue factor pathway inhibitor) and Ak1 (adenylate kinase 1) genes, were overexpressed one-to-fourfold, in both TC D5 and TC D10, as compared with other cells (Table1B). Highest overexpressed gene, Myl9 (myosin, light chain 9), was over fourfold up-regulated in both TC D5 and TC D10 compared with other cells (Table1C). 80 genes in TCs were down-regulated, as compared with other cells (Table2). Of them, Gzf1, Pltp, Polr1b, Tasp1, Zbtb34 and Zfp120 were down-regulated more than onefold in TCs compared with other cells.
Table 1

Summary of genes expressed preferentially in TCs, as compared with others

Compared pairs/fold up-regulated>0>1>4
TC5 versus others64182
TC10 versus others56134
TCs versus others2662
Gene symbolFolds (TC5 versus others/TC10 versus others)
FibroblastStemATIICD8_T_BLCD8_T_LLBasal_cellDuct_cell
(A) Genes up-regulated between 0-and 1-folds in TCs as compared with others
 1110008F13Rik−0.41/−0.18−0.46/−0.25−0.73/−0.72−0.79/−0.80−0.85/−0.85−0.91/−0.91−0.91/−0.92
 2310003F16Rik−0.40/−0.04−0.49/−0.19−0.97/−0.97−0.52/−0.46−0.56/−0.50−0.82/−0.80−0.86/−0.84
 2900064A13Rik−0.13/−0.21−0.41/−0.46−0.37/−0.58−0.29/−0.54−0.30/−0.54−0.24/−0.51−0.19/−0.47
 Abl1−0.75/−0.67−0.43/−0.23−0.76/−0.76−0.29/−0.32−0.70/−0.71−0.82/−0.83−0.89/−0.90
 Ass1−0.44/−0.34−0.96/−0.95−0.82/−0.84−0.94/−0.95−0.80/−0.83−0.90/−0.92−0.80/−0.84
 Commd3−0.63/−0.13−0.63/−0.54−0.56/−0.62−0.78/−0.59−0.76/−0.60−0.13/−0.34−0.24/−0.65
 Commd7−0.29/−0.56−0.62/−0.91−0.58/−0.49−0.53/−0.99−0.54/−0.99−0.24/−0.87−0.60/−0.89
 Creb3l1−0.65/−0.66−0.93/−0.44−0.46/−0.35−0.99/−0.18−0.99/−0.52−0.86/−0.25−0.88/−0.29
 Dlgap4−0.79/−0.98−0.65/−0.96−0.44/−0.77−0.28/−1.00−0.58/−0.96−0.34/−0.37−0.38/−0.71
 Edf1−0.44/−0.17−0.40/−0.08−0.51/−0.73−0.78/−0.76−0.81/−0.61−0.26/−0.28−0.26/−0.66
 Id1−0.98/−0.70−0.97/−0.03−0.74/−0.20−0.99/−0.50−0.95/−0.45−0.27/−0.63−0.66/−0.59
 Manbal−0.49/−0.51−0.43/−0.43−0.77/−0.34−0.79/−0.19−0.66/−0.19−0.37/−0.20−0.71/−0.25
 Mocs3−0.81/−0.53−0.38/−0.02−0.30/−0.90−0.55/−0.95−0.51/−0.95−0.67/−0.55−0.63/−0.57
 Psmc3−0.64/−0.46−0.58/−0.20−0.34/−0.29−0.17/−0.58−0.18/−0.36−0.18/−0.67−0.23/−0.93
 Sdccag3−0.44/−0.46−0.48/−0.60−0.76/−0.37−0.77/−0.98−0.74/−0.94−0.73/−0.45−0.67/−0.18
 Slc39a13−0.51/−0.59−0.28/−0.77−0.13/−0.42−0.46/−0.73−0.20/−0.75−0.58/−0.72−0.91/−0.80
 Snai1−0.84/−0.26−0.37/−0.15−0.92/−0.67−0.93/−0.74−0.95/−0.58−0.95/−0.40−0.97/−0.59
 Spc25−0.41/−0.37−0.24/−0.40−0.79/−0.91−0.61/−0.91−0.41/−0.91−0.19/−0.58−0.07/−0.85
 Tubb2c−0.73/−0.59−0.84/−0.48−0.47/−0.40−0.74/−0.90−0.77/−0.89−0.73/−0.57−0.81/−0.74
 Srxn1−0.49/−0.68−0.71/−0.30−0.32/−0.86−0.96/−0.85−0.93/−0.83−0.69/−0.86−0.41/−0.93
(B) Genes up-regulated between 1-and 4-folds in TCs as compared with other
 Dbndd2−0.61/−1.00−0.66/−0.98−0.90/−0.73−0.96/−0.96−0.95/−0.96−0.83/−0.87−0.81/−0.90
 Fbn1−0.95/−0.98−0.84/−0.53−0.89/−0.84−0.95/−0.82−0.95/−0.84−0.66/−0.87−0.89/−0.76
 Tfpi−0.60/−0.72−0.94/−0.58−0.85/−0.85−0.66/−0.95−0.73/−0.96−0.84/−0.78−0.82/−0.86
 Ak1−0.80/−0.74−0.84/−0.96−0.69/−0.93−1.00/−0.85−0.97/−0.87−0.94/−0.93−0.97/−0.92
(C) Genes up-regulated between >4-folds in TCs as compared with others
 Myl9−1.00/−0.96−0.92/−0.91−0.98/−0.92−1.00/−0.96−1.00/−0.98−0.98/−0.88−1.00/−0.94
Table 2

Summary of genes expressed preferentially in TCs, as compared with others

Compared pairs/fold down-regulated>0>1>4
TC5 versus others140140
TC10 versus others236380
TCs versus others8060
Gene symbolFolds (TC5 versus others/TC10 versus others)
FibroblastStemATIICD8_T_BLCD8_T_LLBasal_cellDuct_cell
(A) Genes down-regulated between 0-and 1-folds in TCs as compared with others
 1500012F01Rik1.00/2.242.51/4.680.09/0.290.83/1.111.30/1.682.50/3.014.17/4.95
 1600027N09Rik0.02/0.260.24/0.533.26/2.855.59/4.776.52/5.686.23/5.326.80/5.85
 1700058C13Rik0.01/0.290.03/0.316.00/5.546.63/5.9315.2/13.917.23/6.464.82/4.30
 2010317E24Rik0.71/2.341.58/4.040.03/0.470.23/0.701.38/2.3410.45/14.8110.14/14.46
 2810408M09Rik1.13/1.130.66/0.6620.58/14.771.23/0.5814.91/10.4465.85/46.3429.46/20.69
 4921504E06Rik0.16/0.370.31/0.556.25/5.270.87/0.578.86/7.4011.6/9.569.10/7.51
 6820408C15Rik0.02/0.060.54/0.6199.87/75.878.76/6.2228.01/20.7726.11/19.0317.2/12.51
 Abca20.77/1.040.51/0.7311.84/9.815.21/4.076.05/4.848.82/7.016.99/5.55
 Acvr2a1.31/1.330.42/0.4323.28/16.8613.98/9.725.29/18.0584.04/59.6570.93/50.56
 Angptl20.52/0.451.97/0.3116.78/0.659.96/1.225.33/2.0314.94/3.3420.00/1.38
 Api50.06/0.280.40/1.503.39/9.946.09/5.564.92/2.843.10/8.513.11/11.60
 Arhgap10.30/0.390.05/0.841.45/3.211.27/5.610.44/4.594.67/2.813.64/2.84
 Arpc5l1.84/1.170.11/0.751.81/1.999.73/1.707.56/0.739.55/5.735.43/4.53
 Atf20.15/2.570.26/0.392.39/1.587.92/8.553.92/6.738.87/8.385.91/4.74
 B2m1.13/0.440.57/1.062.50/1.634.18/3.064.50/2.192.32/1.701.22/1.32
 Catsper21.51/0.830.31/1.0114.79/2.9424.41/9.0627.92/4.6319.7/10.1115.59/6.82
 Cbfa2t20.21/0.820.43/0.340.27/1.180.97/2.130.86/2.370.60/1.000.28/0.35
 Cdca71.89/1.496.28/0.301.05/10.461.2/16.910.10/19.662.18/13.552.49/10.73
 Cep1101.61/0.620.28/0.920.84/0.247.14/0.874.90/0.795.53/0.512.91/0.22
 Chchd50.45/3.930.13/11.436.34/1.553.16/1.672.13/0.3512.54/2.8410.66/3.24
 Ciz10.30/2.690.21/0.811.53/0.900.84/7.160.68/4.997.8/5.534.74/2.93
 Cry20.11/1.180.15/0.6913.7/7.054.83/3.432.42/2.3810.9/13.3811.47/11.46
 Ddx270.42/0.740.44/0.620.20/1.471.27/0.741.09/0.615.47/7.326.52/4.46
 Ddx310.31/0.360.93/0.910.51/2.651.79/8.070.75/9.215.42/17.285.09/13.41
 Depdc71.34/0.330.42/0.3813.2/11.890.67/3.962.85/1.962.96/9.1133.03/9.65
 Dsn10.61/0.261.33/0.316.39/6.6239.29/12.4847.16/10.5412.99/6.5423.88/5.26
 Elp40.76/1.090.25/1.125.62/0.301.29/1.371.03/1.2114.19/5.7410.08/6.88
 Ext20.44/0.460.68/1.1623.82/0.2331.23/1.2121.21/0.4120.92/4.0711.20/3.83
 Fmnl20.18/1.370.15/0.4411.91/9.505.60/0.2012.75/1.8015.11/1.8421.28/23.52
 Fubp30.04/0.990.42/1.8814.72/5.6934.28/34.432.79/41.9093.41/11.2773.83/20.93
 Gapvd10.04/0.180.09/3.473.56/5.045.04/13.373.84/8.913.82/4.013.24/2.43
 Gmeb20.30/1.390.70/0.7015.73/5.5817.11/1.217.65/0.982.14/13.632.63/9.73
 Hat10.56/0.990.09/1.3212.93/24.0649.03/30.6146.29/21.0826.19/20.4529.7/11.00
 Il15ra1.42/0.590.07/0.542.25/11.670.64/5.292.21/12.294.80/14.331.58/20.32
 Mapkbp10.03/0.180.13/2.2596.09/4.2325.15/33.8722.48/30.68123.55/25.01263.85/15.93
 Mga0.68/0.240.34/0.684.24/12.634.57/28.725.14/27.868.89/78.357.84/62.23
 Mkks0.26/0.640.25/0.711.66/4.263.04/5.772.84/4.516.40/4.396.51/3.77
 Mllt100.11/1.180.06/0.545.21/2.7232.27/10.6327.76/16.8715.03/12.5712.67/9.62
 Mrps50.30/0.370.29/0.792.85/11.873.12/12.531.15/5.5516.43/1.348.73/1.72
 Necab33.74/0.720.49/0.203.72/10.212.23/38.126.28/36.4811.85/20.213.01/23.07
 Nr6a10.87/2.710.40/0.6318.84/2.6414.87/0.7818.42/2.5441.84/5.3067.71/1.82
 Ntng20.19/0.210.25/0.330.4/82.6210.52/20.8712.47/18.914.3/102.971.66/221.24
 Nusap10.59/1.311.62/0.830.56/4.260.21/4.420.4/5.072.96/8.614.62/7.64
 Olfr730.10/0.040.27/0.021.12/0.604.73/1.361.03/1.2820.44/3.315.83/3.40
 P2rx30.88/0.590.47/0.520.77/5.495.71/32.771.29/28.595.36/15.2412.31/12.91
 Pdhx1.09/0.820.10/0.8011.01/2.937.06/3.085.76/1.165.97/16.236.61/8.67
 Phf200.77/3.350.87/0.370.88/2.175.00/1.113.20/3.811.03/7.360.67/1.62
 Polr3f0.83/1.250.21/0.6910.77/16.4410.86/12.5614.35/15.8215.73/35.527.5/57.87
 Rae10.71/0.820.58/0.910.59/0.561.34/11.471.61/13.794.08/4.731.55/1.89
 Rbm381.52/0.580.11/0.7018.93/2.245.43/1.1412.22/1.2610.19/9.838.49/7.36
 Scn1a9.47/0.742.38/0.870.73/1.130.61/3.842.46/3.607.56/0.304.58/0.57
 Slc12a54.24/0.920.59/2.152.84/0.383.26/0.043.41/0.214.93/2.385.08/3.83
 Slc27a41.12/0.220.50/0.4128.79/0.7213.26/3.526.48/0.626.51/15.876.71/4.40
 Slc34a30.33/1.150.38/0.6910.17/0.4810.98/4.4619.71/0.8920.08/4.1717.79/9.87
 Spata20.54/1.150.59/0.130.65/8.001.75/4.870.78/3.994.44/4.063.95/4.56
 Sptlc30.42/0.740.31/1.1026.19/5.082.31/7.1813.32/8.05179.36/10.23250.13/8.40
 Ss18l10.33/1.711.15/1.8524.07/1.1070.3/5.51106.73/3.61142.18/1.1987.02/0.81
 Surf60.14/2.780.03/0.710.36/0.101.56/1.440.98/0.594.86/3.335.65/2.12
 Timm101.11/0.800.16/0.190.79/7.500.44/7.320.44/9.913.52/10.712.82/4.98
 Trub20.41/1.520.58/1.330.34/0.721.71/1.450.55/1.774.38/4.311.61/1.68
 Ttll90.06/2.020.03/0.3413.59/16.464.75/4.478.44/10.4163.39/8.5139.11/7.1
 Yme1l11.17/14.070.17/3.874.23/0.8210.71/0.6412.14/2.5921.28/7.7318.6/4.72
 Arl6ip60.33/5.280.27/0.910.09/2.371.77/2.621.30/2.813.37/4.032.27/4.19
 Cep1520.58/2.531.26/5.711.95/0.3228.84/1.1718.63/0.565.03/3.142.63/3.27
 Chd60.54/0.901.20/0.9711.69/10.6770.65/11.1661.55/20.3158.35/20.3534.4/18.12
 Ddb23.10/1.000.72/1.0610.74/0.5681.94/1.5391.16/0.6688.59/3.9961.48/3.57
 Dnmt3b1.85/0.690.05/0.561.45/22.6616.44/1.8014.99/11.273.61/151.121.68/211.91
 Dut0.04/2.300.36/0.500.80/1.542.32/5.411.35/3.5514.44/1.979.05/1.33
 Emilin30.83/0.440.86/0.2926.92/0.2542.07/1.2859.95/0.797.44/4.2212.92/4.95
 Entpd61.61/1.680.30/0.4841.36/0.6638.04/0.3017.21/0.3217.79/3.0712.23/2.46
 Mettl50.61/0.100.37/0.062.72/10.006.88/3.214.9/6.006.01/46.045.83/28.46
 Myef20.58/0.690.11/0.330.74/1.380.91/3.042.12/3.574.87/9.783.94/8.22
 Rif10.94/1.191.76/3.640.98/14.025.85/10.487.01/7.973.27/6.112.11/0.65
 Sfmbt22.56/2.253.80/1.981.09/1.497.35/0.889.00/1.402.16/7.250.94/5.39
(B) Genes down-regulated between 1-and 4-folds in TCs as compared with others
 Gzf11/3.123.24/1.0517.78/47.8813.78/42.7610.39/19.698.17/20.021.12/13.88
 Pltp9.94/3.832.17/3.01189.9/16.607.67/31.998.30/21.33110.19/13.7996.66/22.44
 Polr1b1.83/1.591.33/1.477.01/5.036.45/10.253.06/18.4110.71/37.368.50/46.25
 Tasp12.19/7.781.12/8.131.96/2.5915.91/2.3412.47/4.4920.97/8.598.31/9.50
 Zbtb342.82/4.421.78/2.6058.06/2.67131.6/19.4078.44/15.4869.44/25.4558.72/10.27
 Zfp1201.92/1.701.84/1.6217.79/11.6721.29/13.6018.08/11.6811.75/7.338.68/5.36
Summary of genes expressed preferentially in TCs, as compared with others Summary of genes expressed preferentially in TCs, as compared with others A set of genes are specifically up-or down-regulated in pulmonary TCs, as compared with other cells in chromosome 2 (Table3), up-or down-regulated genes more than 0-fold of TCs D5 were 576 or 341, 559 or 358, 228 or 689, 287 or 630, 277 or 640, 181 or 736, or 210 or 707, respectively, as compared with MSCs, Fbs, ATII, T-BL, T-L, ABCs, or PACs. Up-or down-regulated genes more than 0-fold of TCs D10 were 431 or 486, 408 or 509, 238 or 679, 294 or 623, 288 or 629, 182 or 735, or 222 or 695, as compared with MSCs, Fbs, ATII, T-BL, T-L, ABCs or PACs respectively. Up-and down-regulated genes more than 0-fold of TCs were 406 or 316, 388 or 338, 204 or 655, 262 or 598, 251 or 603, 158 or 712, or 180 or 665, as compared with MSCs, Fbs, ATII, T-BL, T-L, ABCs or PACs respectively.
Table 3

The number of genes specifically up-or down-regulated in pulmonary telocytes, as compared with other cells respectively

Compared pairsUp>0Up>1Up>4Down>0Down>1Down>4
TC5 versus stem576194503418014
TC10 versus stem4311364148615227
TCs versus stem406116303167314
TC5 versus fibroblast5592017935810717
TC10 versus fibroblast4081666150917833
TCs versus fibroblast388140563389314
TC5 versus ATII22810236689504289
TC10 versus ATII23810435679516296
TCs versus ATII2048630655476268
TC5 versus CD8BL28717489630689303
TC10 versus CD8BL29419697623485284
TCs versus CD8BL26216081598461262
TC5 versus CD8LL27717892640487306
TC10 versus CD8LL28818797629482289
TCs versus CD8LL25116284603458263
TC5 versus basal cell1818942736612414
TC10 versus basal cell18210141735601406
TCs versus basal cell1587936712573375
TC5 versus duct cell21011850707552358
TC10 versus duct cell22211751695548345
TCs versus duct cell18010342665522320
The number of genes specifically up-or down-regulated in pulmonary telocytes, as compared with other cells respectively In chromosome 3, 13 genes were higher than 0-fold in TCs, as compared with those in other cells (Table4), of which 10 genes (Agl, Ecm1, Golim4, Kcnab1, Lce1a2, Nexn, Pde4dip, Plekho1, Psrc1, Rhoc, Rit1, Scamp3, Sec22b) were overexpressed 0-to 1-fold (Table4A). Three genes Sh3glb1 (SH3-domain GRB2-like B1 – endophilin), Tm4sf1 (transmembrane 4 superfamily member 1) and Csf1 (colony stimulating factor 1) were overexpressed more than onefold, in both TC D5 and TC D10, as compared with other cells (Table4B). 59 genes in TCs were down-regulated, as compared with other cells (Table5). Of them, 1700013F07Rik, Amy1, Anp32e, Dnase2b, Fmo5, Pde5a, Phf17, Rwdd3 and Trim33 were down-regulated more than onefold, in both TC D5 and TC D10, as compared with other cells.
Table 4

Summary of genes expressed preferentially in TCs, as compared with others

Compared pairs/fold up-regulated>0>1>4
TC5 versus others42100
TC10 versus others3072
TCs versus others1330
Gene symbolFolds (TC5 versus others/TC10 versus others)
FibroblastStemATIICD8_T_BLCD8_T_LLBasal_cellDuct_cell
(A) Genes up-regulated between 0-and 1-folds in TCs as compared with others
 Agl−0.31/−0.25−0.42/−0.37−0.64/−0.6−0.54/−0.5−0.81/−0.79−0.63/−0.6−0.79/−0.77
 Ecm1−0.96/−0.96−0.9/−0.9−0.91/−0.91−0.96/−0.96−0.85/−0.85−0.48/−0.47−0.24/−0.23
 Golim4−0.65/−0.63−0.24/−0.2−0.86/−0.85−0.8/−0.79−0.86/−0.86−0.65/−0.63−0.48/−0.45
 Kcnab1−0.94/−0.95−0.39/−0.54−0.73/−0.8−0.62/−0.71−0.9/−0.93−0.24/−0.42−0.65/−0.73
 Lce1a2−0.16/−0.3−0.41/−0.52−0.01/−0.18−0.03/−0.2−0.24/−0.37−0.83/−0.86−0.93/−0.94
 Nexn−0.59/−0.47−0.3/−0.08−0.82/−0.76−0.9/−0.87−0.96/−0.95−0.64/−0.52−0.78/−0.71
 Pde4dip−0.65/−0.69−0.52/−0.58−0.19/−0.29−0.11/−0.22−0.4/−0.47−0.71/−0.75−0.68/−0.72
 Plekho1−0.07/−0.3−0.8/−0.85−0.8/−0.85−0.85/−0.89−0.97/−0.98−0.95/−0.97−0.98/−0.99
 Psrc1−0.8/−0.7−0.78/−0.67−0.81/−0.73−0.72/−0.59−0.62/−0.45−0.32/0−0.38/−0.1
 Rhoc−0.57/−0.52−0.5/−0.43−0.85/−0.83−1/−1−0.92/−0.91−0.6/−0.55−0.73/−0.69
 Rit1−0.54/−0.53−0.66/−0.65−0.58/−0.57−0.69/−0.68−0.66/−0.65−−0.25/−0.22−0.57/−0.55
 Scamp3−0.34/−0.34−0.55/−0.55−0.79/−0.79−0.61/−0.61−0.72/−0.72−0.82/−0.82−0.83/−0.83
 Sec22b−0.41/−0.08−0.5/−0.23−0.49/−0.21−0.55/−0.3−0.63/−0.43−0.56/−0.32−0.65/−0.46
(B) Genes up-regulated between 1-and 4-folds in TCs as compared with other
 Sh3glb1−0.73/−0.68−0.62/−0.54−0.81/−0.77−0.79/−0.75−0.8/−0.76−0.69/−0.62−0.7/−0.63
 Tm4sf1−1/−1−0.6/−0.67−0.85/−0.88−1/−1−1/−1−0.99/−0.99−0.99/−0.99
 Csf1−0.71/−0.65−0.73/−0.68−0.93/−0.92−0.98/−0.98−0.98/−0.97−0.91/−0.9−0.92/−0.91
Table 5

Summary of genes expressed preferentially in TCs, as compared with others

Compared pairs/fold down-regulated>0>1>4
TC5 versus others79120
TC10 versus others137221
TCs versus others5990
Gene symbolFolds (TC5 versus others/TC10 versus others)
FibroblastStemATIICD8_T_BLCD8_T_LLBasal_cellDuct_cell
(A) Genes down-regulated between 0-and 1-folds in TCs as compared with others
 1700027A23Rik0.9/1.570.08/0.46162.04/220.274.95/7.070.43/0.9428.1/38.498.2/11.48
 2810403A07Rik0.81/1.110.7/0.990.47/0.723.33/4.074.16/5.041.31/1.70.96/1.3
 4932438A13Rik1.12/1.110.9/0.94.4/4.3976.24/75.9978.16/77.99.48/9.448.12/8.09
 4933421E11Rik1.61/2.740.22/0.740.3/0.875.03/7.644.6/7.022.41/3.890.14/0.64
 A530020G20Rik0.13/0.920.02/0.736.3/11.391.91/3.942.91/5.642.4/4.771.14/2.63
 Acadm5.66/5.920.22/0.274.5/4.726.8/7.14.87/5.096.25/6.535.1/5.33
 Adh6a0.46/0.670.44/0.655.68/6.638.32/9.6511.57/13.3750.97/58.3925.27/29.03
 Ahcyl10.62/0.880.14/0.321.5/1.911.14/1.490.51/0.762.4/2.951.9/2.38
 Alx31.08/1.531.35/1.870.45/0.770.95/1.385.61/7.050.82/1.221.64/2.21
 Atp11b0.44/0.930.99/1.662.2/3.2928.57/38.6322.24/30.1510.08/13.8515.11/20.59
 Car30.25/0.290.04/0.073.72/3.874.07/4.236.87/7.1240.74/42.0522.72/23.47
 Clcc11.62/2.560.03/0.390.08/0.470.81/1.450.7/1.313.29/4.833.25/4.77
 Cryz3.65/6.133.67/6.150.91/1.920.17/0.790/0.530.51/1.322.14/3.8
 Ctso0.22/0.151.18/1.05151.36/142.4336.91/317.03271.25/255.24245.94/231.4292.66/87.15
 Gnat21.35/1.570.19/0.31.09/1.292.4/2.724.24/4.738.71/9.631.89/2.17
 Gpsm21.89/2.661.39/2.030.36/0.723.42/4.595.15/6.7814.01/17.9918.95/24.24
 Hax10.16/0.60.66/1.31.25/2.10.9/1.620.94/1.680.6/1.210.84/1.54
 Hltf0.31/0.450.45/0.613.26/3.7518.55/20.7818.24/20.447.82/8.833.57/4.09
 Hps31.39/1.420.56/0.580.8/0.828.25/8.376.09/6.182.97/3.020.26/0.27
 Ints30.83/0.940.23/0.327.92/29.6513.8/14.686.12/6.5423.06/24.526.27/27.9
 Isg20l20.09/0.620.06/0.572.61/4.354.77/7.553.23/5.275.9/9.226.17/9.62
 Lass20.06/0.120.01/0.075.54/5.92.13/2.31.64/1.791.12/1.230.41/0.49
 Lrrc400.4/0.160.42/0.18102.03/84.89256.01/213.26257.71/214.68537.73/448.12349.78/291.43
 Lrrcc10.1/0.630.19/0.770.6/1.372.23/3.81.26/2.355.2/8.212.45/4.13
 Mfsd80.71/0.30.45/0.1111.71/8.6724.91/18.7219.66/14.7232.59/24.5633.42/25.19
 Mrpl240.64/1.570.06/0.661.1/2.273.11/5.411.92/3.561.85/3.451.82/3.41
 Mrpl90.29/0.470.44/0.643.16/3.737.18/8.35.33/6.198.23/9.487.87/9.08
 Ndufb51/1.860.01/0.442.17/3.552.34/3.790.88/1.692.78/4.422.95/4.66
 Odf2l1.26/1.480.17/0.295.61/6.2611.82/13.087.95/8.8344.13/48.5637.95/41.78
 Papss11.13/1.250.44/0.522.44/2.621.53/1.660.28/0.341.73/1.881.64/1.78
 Pgrmc21.11/1.550.08/0.314.75/5.961.45/1.972/2.6229.73/36.1715.37/18.8
 Plk40.46/0.880.71/1.22.33/3.2911.64/15.2912.8/16.797.3/9.6912.53/16.43
 Prpf38b1.18/0.930.68/0.4911.25/9.8150/4466.2/58.344.75/39.3734.78/30.58
 Rabggtb0.81/0.521.09/0.758.12/6.6453.93/45.0157.59/48.0737.82/31.5248.92/40.81
 Rapgef20.29/0.680.63/1.112.8/3.9210.47/13.858.15/10.860.24/0.60.61/1.09
 Rps4x0.11/0.670.62/1.450.39/1.10.85/1.791.99/3.510.67/1.530.54/1.32
 Sars3.16/4.851.32/2.271.03/1.860.4/0.980.09/0.540.41/0.990.3/0.83
 Setdb10.25/0.870.6/1.390.03/0.551.29/2.421.07/2.12.73/4.581.8/3.19
 Siah21.29/1.681.79/2.273.92/4.770.21/0.420.87/1.193.28/4.023.03/3.72
 Slc33a10.75/0.580.72/0.555.56/4.912.19/1.871.75/1.483.02/2.620.75/0.58
 Smc40.07/0.850.89/2.260.12/0.9414.46/25.714.77/26.252.22/4.566.28/11.58
 Sohlh20.02/0.110.08/0.171.69/1.930.91/1.071.86/2.111.58/1.81.85/2.1
 Spata50.06/0.880.21/1.160.19/1.120.32/1.360.4/1.491.15/2.831.51/3.47
 Syt60.23/0.60.21/0.570.15/0.50.55/1.020.43/0.871.27/1.960.29/0.69
 Tbl1xr12.36/1.60.89/0.472.59/1.794.02/2.93.66/2.6116.91/12.8913.56/10.29
 Txnip0.77/0.211.35/0.654.04/36.58107.86/73.3365.79/44.636.39/24.5326.15/17.53
 Ubqln40.18/0.580.21/0.6311.94/16.365.82/8.152.66/3.9128.73/38.8740.6/54.79
 Wdr770.14/0.70.97/1.923.67/5.931.52/2.740.79/1.662.28/3.882.96/4.88
 Ythdf30.22/0.540.64/1.073.08/4.176.8/8.876.44/8.413.68/4.923/4.06
 Zzz30.1/0.640.73/1.580.1/0.643.91/6.333.67/5.961.29/2.420.6/1.39
(B) Genes down-regulated between 1-and 4-folds in TCs as compared with others
 1700013F07Rik6.5/7.081.64/1.8434.73/37.522.1/2.347.8/8.4829.96/32.3847.84/51.65
 Amy12.81/3.868.06/10.559.44/12.327.37/9.6714.79/19.1331.07/39.8824.64/31.68
 Anp32e8.69/11.52.79/3.89121.76/157.32245.2/316.52243.57/314.42356.1/459.55464.63/599.52
 Dnase2b2.08/2.961.85/2.671.08/1.681.08/1.679.48/12.4810.22/13.446.68/8.87
 Fmo53.8/63.36/5.353.52/5.584.08/6.41.75/3.0121.33/31.555.4/8.33
 Pde5a4.09/2.993.94/2.874.58/3.3739.25/30.5412.26/9.3944.99/35.0415.96/12.29
 Phf171.24/1.763.48/4.521.04/1.523.4/4.423.67/4.7511.3/14.144.48/5.75
 Rwdd32.98/4.432.52/3.82.98/4.4314.07/19.5310.16/14.2128.88/39.738.77/12.31
 Trim331.93/5.561.06/3.624.2/10.6426.9/61.4817.78/41.073.1/8.172.63/7.13
Summary of genes expressed preferentially in TCs, as compared with others Summary of genes expressed preferentially in TCs, as compared with others In chromosome 3 (Table6), up-or down-regulated genes more than 0-fold of TCs D5 were 345 or 222, 352 or 215, 377 or 190, 214 or 353, 201 or 366, 130 or 437, or 137 or 430, as compared with Fbs, MSCs, ATII, T-BL, T-L, ABCs or PACs respectively. Up-or down-regulated genes more than 0-fold of TCs D5 were 265 or 302, 263 or 304, 138 or 429, 188 or 379, 168 or 399, 95 or 472, or 120 or 447, as compared with Fbs, MSCs, ATII, T-BL, T-L, ABCs or PACs respectively. Up-and down-regulated genes more than 0-fold of TCs were 255 or 212, 247 or 199, 367 or 128, 181 or 346, 164 or 362, 87 or 429, or 110 or 420, as compared with Fbs, MSCs, ATII, T-BL, T-L, ABCs or PACs respectively. Details of up-or down gene variations of chromosome 2 and 3, including the number and names of up-or down-regulated genes more than 0-fold among different cells, were listed in Data S2.
Table 6

The number of genes specifically up-or down-regulated in pulmonary telocytes, as compared with other cells respectively

Compared pairsUp>0Up>1Up>4Down>0Down>1Down>4
TC10 versus fibroblast2651164030212628
TC5 versus fibroblast345161512228717
TCs versus fibroblast255100332127812
TC10 versus stem2631093530411523
TC5 versus stem352134412156312
TCs versus stem24785271995812
TC10 versus ATII1386722429306177
TC5 versus ATII3772781371909332
TCs versus ATII3672681241286220
TC10 versus CD8BL18811759379302186
TC5 versus CD8BL21414381353265162
TCs versus CD8BL18111357346254153
TC10 versus CD8LL1689951399307197
TC5 versus CD8LL20113866366278163
TCs versus CD8LL1649647362269154
TC10 versus basal cell955519472388261
TC5 versus basal cell1306526437345222
TCs versus basal cell874516429339218
TC10 versus duct cell1205626447373234
TC5 versus duct cell1378129430321199
TCs versus duct cell1105121420312187
The number of genes specifically up-or down-regulated in pulmonary telocytes, as compared with other cells respectively The relationships of the more than 0-fold up-regulated genes of chromosome 2 and 3 in TC D5 and/or TC D10 were analysed by String Network analysis (www.string-db.org), as compared with other cells, to identify direct (physical) and indirect (functional) associations between selected genes of TCs. TC-specific or dominating genes in TC D5 and TC D10 were selected by up-or down-expression more than 0-fold, as compared with other cells. Figure1A and C demonstrated the distribution of such active gene group in chromosome 2 and 3 of all cells, and interactions or potential functional links of those genes of TCs.
Figure 1

Expression profiles of the selected genes as an active group of chromosome 2 and 3 of TCs (TCs) isolated and cultured from mouse lungs on days 5 (D5) and 10 (D10), as compared with fibroblasts (Fbs), mesenchymal stem cells (MSCs), alveolar type II cells (ATII), airway basal cells (ABCs), proximal airway cells (PACs), CD8+ T cells come from bronchial lymph nodes (T-BL), and CD8+ T cells from lung (T-L) respectively (A and C). The profiles for entire genes are described in Data S1. The selected core network and whole mouse network are linked by the documented functional interactions from various databases (see Methods). Genes in each network are indicated in red and some of their nearest neighbours are indicated by dark grey nodes. A group of telocyte genes up-regulated and down-regulated more than 0-fold as compared with all other cells and existed in TCs on days 5 and 10 were selected as telocyte-specific or dominated genes in chromosome 2 and 3 (A and C). Top 50 up-or down-regulated genes of each cells were also evaluated and their distribution within chromosome 2 and 3 genes showed the difference between cells (B and D). Details of the selected network in each cell type are in Figure S1–S18.

Expression profiles of the selected genes as an active group of chromosome 2 and 3 of TCs (TCs) isolated and cultured from mouse lungs on days 5 (D5) and 10 (D10), as compared with fibroblasts (Fbs), mesenchymal stem cells (MSCs), alveolar type II cells (ATII), airway basal cells (ABCs), proximal airway cells (PACs), CD8+ T cells come from bronchial lymph nodes (T-BL), and CD8+ T cells from lung (T-L) respectively (A and C). The profiles for entire genes are described in Data S1. The selected core network and whole mouse network are linked by the documented functional interactions from various databases (see Methods). Genes in each network are indicated in red and some of their nearest neighbours are indicated by dark grey nodes. A group of telocyte genes up-regulated and down-regulated more than 0-fold as compared with all other cells and existed in TCs on days 5 and 10 were selected as telocyte-specific or dominated genes in chromosome 2 and 3 (A and C). Top 50 up-or down-regulated genes of each cells were also evaluated and their distribution within chromosome 2 and 3 genes showed the difference between cells (B and D). Details of the selected network in each cell type are in Figure S1–S18. In chromosome 2, about 30-50% of TCs genes showed similar patterns of gene expression in MSCs, Fbs or ATII, while 5-15% of TCs genes showed similarities with ABCs, PACs, T-BL or T-L. Top 50 up-or down-regulated genes of each cell were also evaluated and their distribution within chromosome 2 genes showed the difference between them, as shown in Figure1B. High expressed genes of each cell within chromosome 2 were evaluated and distributed as red colour (Fig.1B). The distribution of the high expressed genes and low expressed genes both in TC D5 and TC D10 indicates that they are in the centre of the small cluster and different from the other cells. Among the 26 co-up-expressed genes (Table1A–C), 7 genes were found to have certain interactions (Fig.1A). In chromosome 3, about 50–60% of TCs genes showed similar patterns of gene expression in Fbs, MSCs, PACs or ABCs, while 0–20% of TCs genes showed similarities with ABCs, PACs, T-BL or T-L. Top 50 up-or down-regulated genes of each cell were also evaluated and their distribution within chromosome 3 genes showed the difference between them, as shown in Figure1D. High expressed genes of each cell within chromosome 3 were evaluated and distributed as red colour (Fig.1D). The distribution of up-expressed genes and down-expressed genes in TC D5 and TC D10 indicates that they are in the centre of the small cluster and different from the other cells. Among the 16 co-up-expressed genes (Table4A and B), no clear or certain interactions (Fig.1C) were found. The hierarchical cluster analysis of the differentially expressed genes (Fig. 2) clearly shows that TCs are poorly related to the other cell lines.
Figure 2

Hierarchical cluster analysis of the differentially expressed genes on chromosomes 2 and 3 among telocytes (TCs), mesenchymal stem cells (MSCs), fibroblasts (Fbs), lymphocytes from lungs (T-LL) and from bronchial lymph nodes (T-BL), alveolar type II cells (ATII), proximal airway cells (PAC) and airway basal cells (ABC).

Hierarchical cluster analysis of the differentially expressed genes on chromosomes 2 and 3 among telocytes (TCs), mesenchymal stem cells (MSCs), fibroblasts (Fbs), lymphocytes from lungs (T-LL) and from bronchial lymph nodes (T-BL), alveolar type II cells (ATII), proximal airway cells (PAC) and airway basal cells (ABC).

Discussion

Mouse chromosomes are the best studied mammalian chromosomes and are considered as gold standard of human comparative map, although genomic rearrangements occur during evolution. Certain human disease genes were discovered by comparative genomics using the information derived from mapped mouse mutations, although they are not the simplest model for human comparison. In humans, chromosome 2 has the largest sequenced base pairs (237, 712, 649) 47, working with all of the autosomes in humans, spanning the second largest amount of total base pairs (242, 751, 149) and representing 16.2% of the total DNA 48–51. Over 31 exactly known diseases were proposed to be associated with genes on chromosome 2. In mouse, chromosome 2 is entirely sequenced and has 3146 genes encoding 1780 proteins 47, of which 917 genes were measured by bioinformatics tools in the present study. Our data demonstrated that there were 26 or 80 up-or down-regulated genes of chromosome 2 in TCs, as compared with MSCs, Fbs, ATII, T-BL, T-LL, ABCs or PACs. One gene Myl9 (myosin, light polypeptide 9) was overexpressed most in TCs, different from other cells. Myl9 regulatory gene encodes the regulatory light chains of myosin II molecule, known to play a central role in cell adhesion, migration and division. Recent results showed Myl9 as the only gene differentially expressed in the aged versus young injured arteries 52 implying that it may be related to tissue/organ injury and ageing. Therefore, it is possible that the overexpression of Myl9 in pulmonary TCs may play an important role in lung injury and ageing. There were six genes, e.g. Pltp, Gzf1, Polr1b, Tasp1, Zbtb34 and Zfp120, down-expressed most in TCs, different from other cells. The Pltp (phospholipid transfer protein) gene is widely expressed in the body, and plays an important role in lipid metabolism, immune modulation, lipopolysaccharide binding or neurodegenerative disease 53. Pltp is highly expressed within the lung epithelium, in chronic obstructive pulmonary disease or pulmonary inflammation 54. TCs may play an important role of inhibiting inflammation in the lung. Roles of Gzf1 (GDNF-inducible zinc finger protein 1), Polr1b (polymerase (RNA) I polypeptide B), Tasp1 (taspase threonine aspartase 1), Zbtb34 (zinc finger and BTB domain containing 34) or Zfp120 (zinc finger protein 120) genes or proteins in the lung remain unclear. Thus, there is a further need to clarify the exact mechanisms and functions of these genes in TCs. Mouse chromosome 3 has a total number of genes of 993 which encode a total of 669 proteins 47. Human chromosome 3 has ∼7% of the human genome probably related with, at least, 121 diseases that are associated with 105 genes 55 and also spanning the third largest amount of total base pairs (199, 446, 827) and represented about 6.5% of the total DNA in cells 56–59. The chromosome 3 has 1550 genes, of which 567 genes of chromosome 3 were measured by bioinformatics tools in the present study. We showed that there were 13 or 59 up-or down-regulated genes of chromosome 3 in TCs, as compared with Fbs, MSCs, ATII, T-BL, T-L, ABCs or PACs. There were three genes, e.g. Sh3glb1, Tm4sf1 and Csf1, overexpressed in TCs. Sh3glb1 gene encodes SH3-domain GRB2-like B1 or endophilin, known to have an extremely close relationship with Bax-interacting factor-1 (bif-1) 60,61, involved in cell survival and proliferation under metabolic stress and evasion of apoptosis. SH3glb1 is a membrane curvature-inducing protein interact with BECN1 though UVRAG and regulates the post-Golgi trafficking of membrane-integrated ATG9A for autophagy. At the premalignant stage, allelic loss of Sh3glb1 could enhance Myc-induced chromosomal instability and result in the up-regulation of anti-apoptotic proteins, including MCL1 and BCL2L1 61, being responsible for enabling cells to survive and proliferate under metabolic stress and evasion of apoptosis. Endophilin is a membrane curvature-inducing protein that interacts with autophagy related beclin 1, although UV radiation resistance associated gene (Uvrag) and regulates the post-Golgi trafficking of membrane-integrated autophagy related 9A (Atg9A) protein. At the premalignant stage, allelic loss of Sh3glb1 enhances Myc-induced chromosomal instability and results in the up-regulation of anti-apoptotic proteins, including MCL1 and BCL2L1 61. So far, there is no reported association with any lung disease, however, we cannot exclude a role for TCs as having pro-proliferative effects through inhibition of apoptosis as showed in a previous study 41. Tm4sf1 (transmembrane 4 superfamily member 1) is a distant member of the transmembrane 4 superfamily of cell-surface proteins characterized by the presence of four hydrophobic domains 62. It is highly expressed in different carcinomas, e.g. in lung cancer 62, and lowly expressed in normal tissues 63. Colony stimulating factor 1 (macrophage) (Csf1) plays an important role in cancer metastasis and invasion. It is highly expressed in different carcinomas and expressed at relatively low levels (if at all) in many normal tissues 63. High expression of Csf1 can increase metastasis and invasion of pulmonary adenocarcinomas 64. For example, Tm4sf1 it was up-regulated in human adenocarcinoma A549 cell line, suggesting a poor prognosis for anticancer therapy 65. Overexpression of TM4SF1 and Csf1 in lung TCs may have a role in the development of lung cancer. Among down-expressed genes in TCs, Pde5a (cGMP-specific phosphodiesterase 5A) has an obvious association with acute and chronic interstitial lung disease. Overexpression of Pde5a may accelerate the formation of pulmonary fibrosis, while down-expression of Pde5a has important roles and effects in pulmonary fibrosis-associated pulmonary hypertension 66,67. Therefore, we concluded that Tm4sf1 and Csf1 found to be overexpressed in lung TCs may have a role in tumour promotion. There were nine genes, e.g. 1700013F07Rik, Amy1, Anp32e, Dnase2b, Fmo5, Pde5a, Phf17, Rwdd3 and Trim33, down-expressed most in TCs, different from other cells. Among them, only phosphodiesterase 5a (Pde5a) cGMP-specific gene is obviously associated with acute and chronic interstitial lung disease. Its high expression promotes the pulmonary fibrosis, while the inhibition of Pde5a expression ameliorates right ventricular failure and pulmonary, when is associated with bleomicin, through a reduction in reactive oxygen species 68. Therefore, Pde5a low expression in lung TCs may have therapeutic effect on pulmonary fibrosis and other acute and chronic interstitial lung disease, probably by modulation of oxidative stress levels, as previously shown 41. In conclusion, the present study compared genetic variations of chromosome 2 and 3 of pulmonary TCs with other related cells, e.g. Fbs, MSCs, ATII, T-BL, T-L, ABCs or PACs. Our data showed a number of TCs-specific or dominant genes in chromosomes 2 and 3, different from other lung tissue resident cells or infiltrated cells. The TCs signatures of chromosome 2 and 3 genes indicate TCs may be mainly associated with anti-inflammatory responses, the prevention of lung cancer formation and development or protective effects on pulmonary fibrosis or acute and chronic interstitial lung diseases.
  66 in total

1.  Telocytes, a distinct type of cell among the stromal cells present in the lamina propria of jejunum.

Authors:  D Cretoiu; Sanda M Cretoiu; Anca A Simionescu; L M Popescu
Journal:  Histol Histopathol       Date:  2012-08       Impact factor: 2.303

2.  Generation and annotation of the DNA sequences of human chromosomes 2 and 4.

Authors:  Ladeana W Hillier; Tina A Graves; Robert S Fulton; Lucinda A Fulton; Kymberlie H Pepin; Patrick Minx; Caryn Wagner-McPherson; Dan Layman; Kristine Wylie; Mandeep Sekhon; Michael C Becker; Ginger A Fewell; Kimberly D Delehaunty; Tracie L Miner; William E Nash; Colin Kremitzki; Lachlan Oddy; Hui Du; Hui Sun; Holland Bradshaw-Cordum; Johar Ali; Jason Carter; Matt Cordes; Anthony Harris; Amber Isak; Andrew van Brunt; Christine Nguyen; Feiyu Du; Laura Courtney; Joelle Kalicki; Philip Ozersky; Scott Abbott; Jon Armstrong; Edward A Belter; Lauren Caruso; Maria Cedroni; Marc Cotton; Teresa Davidson; Anu Desai; Glendoria Elliott; Thomas Erb; Catrina Fronick; Tony Gaige; William Haakenson; Krista Haglund; Andrea Holmes; Richard Harkins; Kyung Kim; Scott S Kruchowski; Cynthia Madsen Strong; Neenu Grewal; Ernest Goyea; Shunfang Hou; Andrew Levy; Scott Martinka; Kelly Mead; Michael D McLellan; Rick Meyer; Jennifer Randall-Maher; Chad Tomlinson; Sara Dauphin-Kohlberg; Amy Kozlowicz-Reilly; Neha Shah; Sharhonda Swearengen-Shahid; Jacqueline Snider; Joseph T Strong; Johanna Thompson; Martin Yoakum; Shawn Leonard; Charlene Pearman; Lee Trani; Maxim Radionenko; Jason E Waligorski; Chunyan Wang; Susan M Rock; Aye-Mon Tin-Wollam; Rachel Maupin; Phil Latreille; Michael C Wendl; Shiaw-Pyng Yang; Craig Pohl; John W Wallis; John Spieth; Tamberlyn A Bieri; Nicolas Berkowicz; Joanne O Nelson; John Osborne; Li Ding; Rekha Meyer; Aniko Sabo; Yoram Shotland; Prashant Sinha; Patricia E Wohldmann; Lisa L Cook; Matthew T Hickenbotham; James Eldred; Donald Williams; Thomas A Jones; Xinwei She; Francesca D Ciccarelli; Elisa Izaurralde; James Taylor; Jeremy Schmutz; Richard M Myers; David R Cox; Xiaoqiu Huang; John D McPherson; Elaine R Mardis; Sandra W Clifton; Wesley C Warren; Asif T Chinwalla; Sean R Eddy; Marco A Marra; Ivan Ovcharenko; Terrence S Furey; Webb Miller; Evan E Eichler; Peer Bork; Mikita Suyama; David Torrents; Robert H Waterston; Richard K Wilson
Journal:  Nature       Date:  2005-04-07       Impact factor: 49.962

3.  Characterisation, genome size and genetic manipulation of the myxobacterium Sorangium cellulosum So ce56.

Authors:  Silke Pradella; Astrid Hans; Cathrin Spröer; Hans Reichenbach; Klaus Gerth; Stefan Beyer
Journal:  Arch Microbiol       Date:  2002-10-01       Impact factor: 2.552

4.  PDE5A inhibition attenuates bleomycin-induced pulmonary fibrosis and pulmonary hypertension through inhibition of ROS generation and RhoA/Rho kinase activation.

Authors:  Anna R Hemnes; Ari Zaiman; Hunter C Champion
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2007-10-26       Impact factor: 5.464

5.  Telocytes and putative stem cells in the lungs: electron microscopy, electron tomography and laser scanning microscopy.

Authors:  Laurentiu M Popescu; Mihaela Gherghiceanu; Laura C Suciu; Catalin G Manole; Mihail E Hinescu
Journal:  Cell Tissue Res       Date:  2011-08-20       Impact factor: 5.249

6.  Telocytes in Crohn's disease.

Authors:  Anna Franca Milia; Martina Ruffo; Mirko Manetti; Irene Rosa; Dalila Conte; Marilena Fazi; Luca Messerini; Lidia Ibba-Manneschi
Journal:  J Cell Mol Med       Date:  2013-11-19       Impact factor: 5.310

7.  Telocytes: new insight into the pathogenesis of gallstone disease.

Authors:  Andrzej Matyja; Krzysztof Gil; Artur Pasternak; Krystyna Sztefko; Mariusz Gajda; Krzysztof A Tomaszewski; Maciej Matyja; Jerzy A Walocha; Jan Kulig; Piotr Thor
Journal:  J Cell Mol Med       Date:  2013-04-04       Impact factor: 5.310

8.  Immunohistochemical characterization and functional identification of mammary gland telocytes in the self-assembly of reconstituted breast cancer tissue in vitro.

Authors:  Yongchao Mou; Yan Wang; Junjie Li; Shuanghong Lü; Cuimi Duan; Zhiyan Du; Guili Yang; Weizhen Chen; Siyang Zhao; Jin Zhou; Changyong Wang
Journal:  J Cell Mol Med       Date:  2012-12-04       Impact factor: 5.310

9.  Telocytes, exosomes, gap junctions and the cytoskeleton: the makings of a primitive nervous system?

Authors:  John Smythies; Lawrence Edelstein
Journal:  Front Cell Neurosci       Date:  2014-01-03       Impact factor: 5.505

10.  Immunolocalization and expression of small-conductance calcium-activated potassium channels in human myometrium.

Authors:  Sofia T Rosenbaum; Julie Svalø; Karsten Nielsen; Torben Larsen; Jørgen C Jørgensen; Pierre Bouchelouche
Journal:  J Cell Mol Med       Date:  2012-12       Impact factor: 5.310

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  27 in total

1.  Telopodes of telocytes are influenced in vitro by redox conditions and ageing.

Authors:  Ana-Maria Enciu; Laurentiu M Popescu
Journal:  Mol Cell Biochem       Date:  2015-09-03       Impact factor: 3.396

2.  Influence of gene modification in biological behaviors and responses of mouse lung telocytes to inflammation.

Authors:  Dongli Song; Menglin Xu; Ruixue Qi; Ruihua Ma; Yile Zhou; Duojiao Wu; Hao Fang; Xiangdong Wang
Journal:  J Transl Med       Date:  2019-05-15       Impact factor: 5.531

3.  Telocytes in minor salivary glands of primary Sjögren's syndrome: association with the extent of inflammation and ectopic lymphoid neogenesis.

Authors:  Alessia Alunno; Lidia Ibba-Manneschi; Onelia Bistoni; Irene Rosa; Sara Caterbi; Roberto Gerli; Mirko Manetti
Journal:  J Cell Mol Med       Date:  2015-03-06       Impact factor: 5.310

4.  The secretome of myocardial telocytes modulates the activity of cardiac stem cells.

Authors:  Radu Albulescu; Cristiana Tanase; Elena Codrici; Daniela I Popescu; Sanda M Cretoiu; Laurentiu M Popescu
Journal:  J Cell Mol Med       Date:  2015-07-14       Impact factor: 5.310

5.  Ultrastructure damage of oviduct telocytes in rat model of acute salpingitis.

Authors:  Jian Yang; Chi Chi; Zhen Liu; Gang Yang; Zong-Ji Shen; Xiao-Jun Yang
Journal:  J Cell Mol Med       Date:  2015-03-06       Impact factor: 5.310

6.  Cardiac telocytes are double positive for CD34/PDGFR-α.

Authors:  Qiulian Zhou; Lei Wei; Chongjun Zhong; Siyi Fu; Yihua Bei; Radu-Ionuț Huică; Fei Wang; Junjie Xiao
Journal:  J Cell Mol Med       Date:  2015-06-17       Impact factor: 5.310

7.  Telocyte dynamics in psoriasis.

Authors:  C G Manole; Mihaela Gherghiceanu; Olga Simionescu
Journal:  J Cell Mol Med       Date:  2015-05-19       Impact factor: 5.310

8.  Telocytes transfer extracellular vesicles loaded with microRNAs to stem cells.

Authors:  Valeriu B Cismaşiu; Laurentiu M Popescu
Journal:  J Cell Mol Med       Date:  2015-01-20       Impact factor: 5.310

Review 9.  Telocytes in regenerative medicine.

Authors:  Yihua Bei; Fei Wang; Changqing Yang; Junjie Xiao
Journal:  J Cell Mol Med       Date:  2015-06-08       Impact factor: 5.310

10.  Global comparison of chromosome X genes of pulmonary telocytes with mesenchymal stem cells, fibroblasts, alveolar type II cells, airway epithelial cells, and lymphocytes.

Authors:  Yichun Zhu; Minghuan Zheng; Dongli Song; Ling Ye; Xiangdong Wang
Journal:  J Transl Med       Date:  2015-09-28       Impact factor: 5.531

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