The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
A Mammalian microRNA Expression Atlas Based on Small RNA Library Sequencing
Open accessAbstract
MicroRNAs (miRNAs) are small noncoding regulatory RNAs that reduce stability and/or translation of fully or partially sequence-complementary target mRNAs. In order to identify miRNAs and to assess their expression patterns, we sequenced over 250 small RNA libraries from 26 different organ systems and cell types of human and rodents that were enriched in neuronal as well as normal and malignant hematopoietic cells and tissues. We present expression profiles derived from clone count data and provide computational tools for their analysis. Unexpectedly, a relatively small set of miRNAs, many of which are ubiquitously expressed, account for most of the differences in miRNA profiles between cell lineages and tissues. This broad survey also provides detailed and accurate information about mature sequences, precursors, genome locations, maturation processes, inferred transcriptional units, and conservation patterns. We also propose a subclassification scheme for miRNAs for assisting future experimental and computational functional analyses.
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In the citing paper
“miR-27a/b are expressed in SN of human midbrain (Additional file 2a) [34–36]”
From miR-27a and miR-27b regulate autophagic clearance of damaged mitochondria by targeting PTEN-induced putative kinase 1 (PINK1) (2016) · cites this paper as [34]
In the citing paper
“Several previous studies showed that miR-27a/b are expressed in human midbrain [34–36].”
From miR-27a and miR-27b regulate autophagic clearance of damaged mitochondria by targeting PTEN-induced putative kinase 1 (PINK1) (2016) · cites this paper as [34]
In the citing paper
“Previous studies have shown that only a small population of miRNAs accounts for a majority of miRNA pool in the brain (Shin et al. 2010, Hu et al. 2011, Landgraf et al. 2007, Berezikov et al. 2006).”
From miR‐186 is decreased in aged brain and suppresses BACE 1 expression (2016) · cites this paper as Landgraf et al. 2007
In the citing paper
“miRNAs often show strong cell typeand tissue-specific regulation of their targets (Landgraf et al., 2007;Jovic ˇic ´et al., 2013).”
From microRNA-33 Regulates ApoE Lipidation and Amyloid-β Metabolism in the Brain (2015) · cites this paper as Landgraf et al., 2007
In the citing paper
“Importantly, miRNAs quite often show cell-type, tissue, and species-specific regulation of their target genes due to the differences in their expression levels and the complexity of interaction with their targets in different cellular contexts (Landgraf et al., 2007;Jovic ˇic ´et al., 2013).”
From microRNA-33 Regulates ApoE Lipidation and Amyloid-β Metabolism in the Brain (2015) · cites this paper as Landgraf et al., 2007
In the citing paper
“Substantial data indicate that microRNA 21 (miR-21) is significantly elevated in glioblastoma (GBM) and in many other tumors of various origins.”
From MicroRNA 21 Promotes Glioma Invasion by Targeting Matrix Metalloproteinase Regulators (2008) · cites this paper as [33]
In the citing paper
“We also found 20 miRNAs that are up-regulated more than 2 fold during differentiation and some were previously identified from rat brain tissues: miR-21, miR-152, miR-142-5p and -3p, miR-338, miR-339 and miR-378 (Landgraf et al., 2007).”
From Identification of Dynamically Regulated MicroRNA and mRNA Networks in Developing Oligodendrocytes (2008) · cites this paper as Landgraf et al., 2007
In the citing paper
“Notably, these included hsa-miR-219a and hsa-miR-338, both known to promote myelin repair 54 , and hsa-miR-23, which enhances oligodendrocyte differentiation and myelin synthesis 55 .”
From Human brain microRNAs exhibit cell-type specificity and age dependence (2026) · cites this paper as [54]
In the citing paper
“both known to promote myelin repair 54 , and hsa-miR-23, which enhances oligodendrocyte differentiation and myelin synthesis 55”
From Human brain microRNAs exhibit cell-type specificity and age dependence (2026) · cites this paper as [54]
In the citing paper
“miR-375, miR-141, and miR-200a in the pituitary (Landgraf et al. 2007);”
From MicroRNA expression in the adult mouse central nervous system (2008) · cites this paper as Landgraf et al. 2007
In the citing paper
“with some being shown to be expressed in a tissue- (16), cell type- (17), or even cell state-specific manner (18)”
From A mouse tissue atlas of small noncoding RNA (2020) · cites this paper as [16]
In the citing paper
“Recent efforts in profiling of the most studied types of small ncRNA, miRNA, across cells and tissues demonstrated the existence of tissue- and cell type-specific short noncoding transcripts (16, 24, 25, 33).”
From A mouse tissue atlas of small noncoding RNA (2020) · cites this paper as [16]
In the citing paper
“We identified both well-described brain-specific miRNAs, such as mir-9, mir-124, mir-219, mir-338 (16, 24, 33), as well as those which are missing from existing catalogs, such as mir-666, mir-878, mir-433, etc.”
From A mouse tissue atlas of small noncoding RNA (2020) · cites this paper as [16]
In the citing paper
“Consistent with previous reports, we observed that a group of miRNAs known to be brain specific, such as miR-124, miR-29b and miR-9, were highly enriched in all the samples. (Bak et al., 2008, Landgraf et al., 2007).”
From Cell-Type-Based Analysis of MicroRNA Profiles in the Mouse Brain (2012) · cites this paper as Landgraf et al., 2007
In the citing paper
“The most thorough of these microRNA localization projects performed small RNA library sequencing (RNA-seq) on over 250 libraries from 26 organ systems. However, this nascent effort sequenced only ∼1200 reads per library (Landgraf et al. 2007).”
From Toward the human cellular microRNAome (2017) · cites this paper as Landgraf et al. 2007
In the citing paper
“a previous study showed that miR-155 expression was highly specific to cells of hematopoietic origin 51 .”
From Identification of a protective microglial state mediated by miR-155 and interferon-γ signaling in a mouse model of Alzheimer’s disease (2023) · cites this paper as [51]
In the citing paper
“The first and as of now most comprehensive analysis of miRNA abundance in different tissues has been reported by Landgraf et al. in 2007 (3).”
From Distribution of miRNA expression across human tissues (2016) · cites this paper as [3]
In the citing paper
“For canonical miRNAs they found a high concordance of tissue-specific expression in humans and rodents.”
From Distribution of miRNA expression across human tissues (2016) · cites this paper as [3]
In the citing paper
“This sequencing-based study reported 340 miRNAs in 26 organs.”
From Distribution of miRNA expression across human tissues (2016) · cites this paper as [3]
In the citing paper
“Amongst others, Landgraf et al. detected tissue-specific expression of miR-122 in liver, of miR-9, miR-124 and miR 128a/b in brain, of miR-7, miR-375, miR-141 and miR-200a in pituitary gland and of miR-142, miR-144, miR-150, miR-155 and miR-223 in hematopoietic cells.”
From Distribution of miRNA expression across human tissues (2016) · cites this paper as [3]
In the citing paper
“The, as of now, most comprehensive study on tissue-specific miRNAs in humans was published by Landgraf et al. in 2007 (3).”
From Distribution of miRNA expression across human tissues (2016) · cites this paper as [3]
In the citing paper
“They identified 340 mature human miRNAs including 33 novel miRNAs not listed in the miRBase version 9.1, which was the current version at the time of the study (17).”
From Distribution of miRNA expression across human tissues (2016) · cites this paper as [3]
In the citing paper
“MiR-124 (miR-124–3p) was identified as the third most specific miRNA in the nervous system by Landgraf et al.”
From Distribution of miRNA expression across human tissues (2016) · cites this paper as [3]
In the citing paper
“They sequenced 256 small RNA libraries from 26 different organ systems and cell types of humans and rodents, with ∼1000 clone each.”
From Distribution of miRNA expression across human tissues (2016) · cites this paper as [3]
In the citing paper
“MiR-514a-3p belongs to the miR-506 family; the mouse orthologue of miR-506, mmu-201, has been shown to be specifically expressed in reproductive tissues (3).”
From Distribution of miRNA expression across human tissues (2016) · cites this paper as [3]
In the citing paper
“Loss-of-function of the abundant neuronal miRNAs let-7 and miR-124, and of the less abundant miR-125 and miR-132 (Landgraf et al., 2007), caused a marked pruning of the dendritic arbor, as quantified by Sholl analysis (Figure 4A, E).”
From Regulation of Synaptic Structure and Function by FMRP-Associated MicroRNAs miR-125b and miR-132 (2010) · cites this paper as Landgraf et al., 2007
In the citing paper
“The second is that early publications of general miRNA expression focused on tissues, which comprise numerous cell types, and the localization of miRNAs, whether cell specific or ubiquitous, has not been established [8, 9].”
From A curated human cellular microRNAome based on 196 primary cell types (2022) · cites this paper as [9]
In the citing paper
“Notably, five of the top 25 upregulated miRNAs in IS patients were brain-specific or enriched, including hsa-miR-9-3p, hsa-miR-124-3p, hsa-miR-143-3p, hsa-miR-98-5p, and hsa-miR-93-5p.”
From Acute Cerebral Ischemia Increases a Set of Brain-Specific miRNAs in Serum Small Extracellular Vesicles (2022) · cites this paper as Landgraf et al., 2007
In the citing paper
“Likewise, 9 out of the 20 upregulated miRNAs in tMCAO mice are brain-specific or preferentially expressed in brain tissues, including mmu-miR-124-3p, mmu-miR-9-3p, mmu-miR-9-5p, mmu-miR-323-3p, mmu-miR-219b-5p, mmu-miR-129b-3p, mmu-miR-129-5p, mmu-miR-433-3p, and mmu-miR-128-3p (Table 3).”
From Acute Cerebral Ischemia Increases a Set of Brain-Specific miRNAs in Serum Small Extracellular Vesicles (2022) · cites this paper as Landgraf et al., 2007
In the citing paper
“Previous reports have shown that miR-138-5p is highly expressed in the CNS, particularly among brain neurons [45,46,47].”
From MicroRNA-138-5p Targets Pro-Apoptotic Factors and Favors Neural Cell Survival: Analysis in the Injured Spinal Cord (2022) · cites this paper as [45]
Citations
Cites
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14
Lee, R. C., Feinbaum, R. L., & Ambros, V. (1993) · Cell · doi:10.1016/0092-8674(93)90529-y · Cited by 12,948
Lewis, B. P., Burge, C. B., & Bartel, D. P. (2005) · Cell · doi:10.1016/j.cell.2004.12.035 · Cited by 11,855
Prediction of Mammalian MicroRNA Targets
Lewis, B. P., Shih, I.-H., Jones-Rhoades, M. W., Bartel, D. P., & Burge, C. B. (2003) · Cell · doi:10.1016/s0092-8674(03)01018-3 · Cited by 5,199
Identification of Novel Genes Coding for Small Expressed RNAs
Lagos-Quintana, M., Rauhut, R., Lendeckel, W., & Tuschl, T. (2001) · Science · doi:10.1126/science.1064921 · Cited by 4,956
Self-citationMicroarray analysis shows that some microRNAs downregulate large numbers of target mRNAs
Lim, L. P., Lau, N. C., Garrett-Engele, P., Grimson, A., Schelter, J. M., Castle, J., Bartel, D. P., Linsley, P. S., & Johnson, J. M. (2005) · Nature · doi:10.1038/nature03315 · Cited by 4,755
MicroRNA genes are transcribed by RNA polymerase II
Lee, Y., Kim, M., Han, J., Yeom, K.-H., Lee, S., Baek, S. H., & Kim, V. N. (2004) · The EMBO Journal · doi:10.1038/sj.emboj.7600385 · Cited by 4,556
Wightman, B., Ha, I., & Ruvkun, G. (1993) · Cell · doi:10.1016/0092-8674(93)90530-4 · Cited by 4,292
miRBase: microRNA sequences, targets and gene nomenclature
Griffiths-Jones, S. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj112 · Cited by 3,950
Silencing of microRNAs in vivo with ‘antagomirs’
Krützfeldt, J., Rajewsky, N., Braich, R., Rajeev, K. G., Tuschl, T., Manoharan, M., & Stoffel, M. (2005) · Nature · doi:10.1038/nature04303 · Cited by 3,949
Self-citation
Cited by
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Xiang, Z., Wang, S., & Xiang, Y. (2014) · PLoS ONE · doi:10.1371/journal.pone.0111410 · Cited by 31
Wang, F., Zhang, H., Xu, N., Huang, N., Tian, C., Ye, A., Hu, G., He, J., & Zhang, Y. (2016) · Cancer Biology & Therapy · doi:10.1080/15384047.2016.1195040 · Cited by 31
Majer, A., Caligiuri, K. A., Gale, K. K., Niu, Y., Phillipson, C. S., Booth, T. F., & Booth, S. A. (2017) · PLoS ONE · doi:10.1371/journal.pone.0169081 · Cited by 31
Clinical and biological significance of miR-193a-3p targeted KRAS in colorectal cancer pathogenesis
Mamoori, A., Wahab, R., Islam, F., Lee, K. T., Vider, J., Lu, C., Gopalan, V., & Lam, A. K.-Y. (2017) · Human Pathology · doi:10.1016/j.humpath.2017.10.024 · Cited by 31
Silencing a Multifunctional microRNA Is Beneficial for Stroke Recovery
Roitbak, T. (2018) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2018.00058 · Cited by 31
MicroRNA‑144 suppresses aggressive phenotypes of tumor cells by targeting ANO1 in colorectal cancer
Jiang, Y., Cai, Y., Shao, W., Feng, L., Guan, Z., Zhou, Y., Tang, C., & Feng, S. (2019) · Oncology Reports · doi:10.3892/or.2019.7025 · Cited by 31
Five serum microRNAs for detection and predicting of ovarian cancer
Wang, W., Wu, L., Li, C., Xin Min, Z. H. O. U., Liu, P., Jia, X., Chen, Y., & Zhu, W. (2019) · European Journal of Obstetrics & Gynecology and Reproductive Biology X · doi:10.1016/j.eurox.2019.100017 · Cited by 31
Li, Q., Liu, W., Chiu, P. C. N., & Yeung, W. S. B. (2020) · Reproductive Sciences · doi:10.1007/s43032-019-00115-3 · Cited by 31
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Jiang, Z.-F., Zhang, L., & Shen, J. (2020) · Human & Experimental Toxicology · doi:10.1177/0960327120926254 · Cited by 33
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Renata D'Incà, & Sturniolo, G. (2023) · Diagnostics · doi:10.3390/diagnostics13182931 · Cited by 31
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Melo, C. A., & Melo, S. A. (2013) · Springer eBooks · doi:10.1007/978-1-4614-8444-8_2 · Cited by 32
MicroRNA-100 regulates IGF1-receptor expression in metastatic pancreatic cancer cells
Huang, J., Egger, M., Grizzle, W. E., & McNally, L. (2013) · Biotechnic & Histochemistry · doi:10.3109/10520295.2012.762460 · Cited by 31
Incomplete penetrance and variable expressivity: is there a microRNA connection?
Ahluwalia, J. K., Hariharan, M., Bargaje, R., Pillai, B., & Brahmachari, V. (2009) · BioEssays · doi:10.1002/bies.200900066 · Cited by 31
Kawano, M., Kawazu, C., Lizio, M., Kawaji, H., Carninci, P., Suzuki, H., & Hayashizaki, Y. (2010) · BioTechniques · doi:10.2144/000113516 · Cited by 32
MicroRNAs in renal development
Ho, J., & Kreidberg, J. A. (2012) · Pediatric Nephrology · doi:10.1007/s00467-012-2204-y · Cited by 32
Non-Coding RNAs in Retinal Development
Maiorano, N. A., & Hindges, R. (2012) · International Journal of Molecular Sciences · doi:10.3390/ijms13010558 · Cited by 31
Endo, K., Hayashi, K., & Saito, H. (2016) · Scientific Reports · doi:10.1038/srep21991 · Cited by 31
Experimental procedures to identify and validate specific mRNA targets of miRNAs
Elton, T. S., & Yalowich, J. C. (2015) · EXCLI journal · doi:10.17179/excli2015-319 · Cited by 32
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Dabbs, D. J. (2006) · Elsevier eBooks · doi:10.1016/b978-0-443-06652-8.50013-2 · Cited by 31
Dynamics of microRNA expression during mouse prenatal developmentPreprint
Rahmanian, S., Murad, R., Breschi, A., Zeng, W., Mackiewicz, M., Williams, B. A., Davis, C., Roberts, B. S., Meadows, S. K., Moore, D. E., et al. (2019) · Genome Research · doi:10.1101/gr.248997.119 · Cited by 32
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Patil, A. H., Baran, A., Brehm, Z. P., McCall, M. N., & Halushka, M. K. (2022) · GigaScience · doi:10.1093/gigascience/giac083 · Cited by 30
Moutabian, H., Radi, U. K., Saleman, A. Y., Adil, M., Zabibah, R. S., Chaitanya, M., Saadh, M. J., Jawad, M. J., Hazrati, E., Bagheri, H., et al. (2023) · Pathology - Research and Practice · doi:10.1016/j.prp.2023.154789 · Cited by 30
Abdelmaksoud, N. M., Sallam, A.-A. M., Abulsoud, A. I., El‐Dakroury, W. A., Mageed, S. S. A., AL‐Noshokaty, T. M., Elrebehy, M. A., Elshaer, S. S., Mahmoud, N. A., Fathi, D., et al. (2023) · Pathology - Research and Practice · doi:10.1016/j.prp.2023.155007 · Cited by 30
Sperm-borne small non-coding RNAs: potential functions and mechanisms as epigenetic carriers
Naveed, M., Shen, Z., & Bao, J. (2025) · Cell & Bioscience · doi:10.1186/s13578-025-01347-4 · Cited by 30
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Tsou, W., Soong, B., Paulson, H. L., & Rodríguez-Lebrón, E. (2011) · Neurobiology of Disease · doi:10.1016/j.nbd.2011.04.016 · Cited by 30
MicroRNAs in normal and malignant myelopoiesis
Pelosi, E., Labbaye, C., & Testa, U. (2009) · Leukemia Research · doi:10.1016/j.leukres.2009.04.039 · Cited by 30
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Carlsen, A. L., Jøergensen, M. T., Knudsen, S., de Muckadell, O. B. S., & Heegaard, N. H. H. (2013) · Pancreas · doi:10.1097/mpa.0b013e318296bb34 · Cited by 30
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Tamura, M., Uyama, M., Sugiyama, Y., & Sato, M. M. (2013) · Molecular Medicine Reports · doi:10.3892/mmr.2013.1713 · Cited by 30
A wide repertoire of miRNA binding sites: prediction and functional implications
Elefant, N., Altuvia, Y., & Margalit, H. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr534 · Cited by 30
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Li, J. Y. Z., Yong, T. Y., Michael, M., & Gleadle, J. (2013) · Hypertension in Pregnancy · doi:10.3109/10641955.2013.832772 · Cited by 30
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Dannemann, M., Prüfer, K., Lizano, E., Nickel, B., Burbano, H. A., & Kelso, J. F. (2012) · Genome Biology and Evolution · doi:10.1093/gbe/evs033 · Cited by 30
Yang, X., Pan, Y., Xu, X., Tong, T., Yu, S., Zhao, Y., Lin, L., Liu, J., Zhang, D., & Li, C. (2018) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2018.00100 · Cited by 30
Liang, Z., Yao, H., Xie, R., Gong, C., & Tian, Y. (2018) · International Journal of Molecular Medicine · doi:10.3892/ijmm.2018.3695 · Cited by 30
Liu, Z., Li, C., Chen, S., Lin, H., Zhao, H., Liu, M., Weng, J., Liu, T., Liu, T., Lei, C., et al. (2018) · Journal of Cellular Biochemistry · doi:10.1002/jcb.27742 · Cited by 30
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Golec, E., Lind, L., Qayyum, M., Blom, A. M., & King, B. C. (2018) · The Journal of Immunology · doi:10.4049/jimmunol.1701234 · Cited by 30
Identification of plasma miR-148a as a noninvasive biomarker for hepatocellular carcinoma
Han, J., Li, J., Qian, Y., Liu, W., Liang, J., Huang, Z., Wang, S., & Zhao, C. (2019) · Clinics and Research in Hepatology and Gastroenterology · doi:10.1016/j.clinre.2018.12.008 · Cited by 30
Cava, C., Bertoli, G. R., & Castiglioni, I. (2019) · Computational and Mathematical Methods in Medicine · doi:10.1155/2019/9029351 · Cited by 30
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Wang, J., Zhang, J., Cai, Y., & Deng, L. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20236046 · Cited by 30
Tsetsarkin, K. A., Acklin, J. A., Liu, G., Kenney, H., Teterina, N. L., Pletnev, A. G., & Lim, J. K. (2020) · PLoS Pathogens · doi:10.1371/journal.ppat.1008601 · Cited by 31
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Scherm, M. G., & Daniel, C. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.606322 · Cited by 30
Kolečková, M., Ehrmann, J., Bouchal, J., Janíková, M., Brisudová, A., Srovnal, J., Štaffová, K., Svoboda, M., Slabý, O., Radová, L., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-84350-2 · Cited by 30
Li, F., Wu, H., Zou, G., Cang, D., & Shen, Y. (2021) · Bioengineered · doi:10.1080/21655979.2021.1921553 · Cited by 30
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Çakan, E., & Günaydın, G. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.965312 · Cited by 31
Jalil, A. T., Abdulhadi, M. A., Al-Ameer, L. R., Abbas, H. A., Merza, M. S., Zabibah, R. S., & Fadhil, A. A. (2023) · Pathology - Research and Practice · doi:10.1016/j.prp.2023.154631 · Cited by 30
van Caster, P., Brandenburger, T., STRAHL, T., Metzger, S. U., Bauer, I., Pannen, B. H. J., & Braun, S. B. (2015) · Molecular Medicine Reports · doi:10.3892/mmr.2015.3742 · Cited by 30
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Shao, P., Zhou, H., Xiao, Z., He, J.-H., Huang, M., Chen, Y.-Q., & Qu, L. (2008) · Gene · doi:10.1016/j.gene.2008.04.004 · Cited by 30
Gene bi-targeting by viral and human miRNAs
Veksler‐Lublinsky, I., Shemer‐Avni, Y., Kedem, K., & Ziv-Ukelson, M. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-249 · Cited by 30
microRNA profiling in three main stages during porcine spermatogenesis
Luo, Z., Liu, Y., Chen, L., Ellis, M., Li, M., Wang, J., Zhang, Y., Fu, P., Wang, K., Li, X., et al. (2015) · Journal of Assisted Reproduction and Genetics · doi:10.1007/s10815-014-0406-x · Cited by 31
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Xiong, Q., Yang, Y., Wang, H., Li, J., Wang, S., Li, Y., Yang, Y., Cai, K., Ruan, X., Yan, J., et al. (2014) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2014.02.001 · Cited by 30
Chaulk, S. G., Xu, Z., Glover, M. J. N., & Fahlman, R. P. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku133 · Cited by 30
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Wolters, N. M., & MacKeigan, J. P. (2008) · Cell Death and Differentiation · doi:10.1038/sj.cdd.4402311 · Cited by 30
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Kim, K., Kim, J. S., Lee, M. R., Jeong, H. S., & Kim, J. (2009) · FEBS Journal · doi:10.1111/j.1742-4658.2009.06932.x · Cited by 30
Spolverini, A., Fuchs, G., Bublik, D. R., & Oren, M. (2017) · Oncogene · doi:10.1038/onc.2017.187 · Cited by 30
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O`Leary, K. R., & Glynn, C. L. (2018) · MicroRNA · doi:10.2174/2211536607666180430153821 · Cited by 30
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Caldas, J., & Samuel Kaski, A. (2011) · Journal of Computational Biology · doi:10.1089/cmb.2010.0256 · Cited by 29
Smirnova, L., Block, K., Sittka, A., Oelgeschläger, M., Seiler, A. E. M., & Luch, A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098892 · Cited by 31
Song, L., Zhang, W., Chang, Z., Pan, Y., Zong, H., Fan, Q.-X., & Wang, L. (2015) · Asian Pacific Journal of Cancer Prevention · doi:10.7314/apjcp.2015.16.9.3667 · Cited by 29
Ling, Y., Guo, X., Chen, T., Ding, J., Ma, Y., Chu, M., Di, R., Zhang, Y., & Zhang, X. (2016) · Animal Reproduction Science · doi:10.1016/j.anireprosci.2016.01.003 · Cited by 29
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Nowak, J. S., Hóbor, F., Velasco, A. D. R., Choudhury, N. R., Heikel, G., Kerr, A. R. W., Ramos, A., & Michlewski, G. (2016) · RNA · doi:10.1261/rna.059196.116 · Cited by 29
Xiang, Z., Zhao, X., Zhang, L., Yang, P., Fan, J., Tang, Z., & Zeng, Z. (2016) · Oncotarget · doi:10.18632/oncotarget.13531 · Cited by 29
Long non-coding RNAs in B-cell malignancies: a comprehensive overview
Nobili, L., Ronchetti, D., Taìana, E., & Neri, A. (2017) · Oncotarget · doi:10.18632/oncotarget.17303 · Cited by 31
Greco, R., Demartini, C., Zanaboni, A. M., Blandini, F., Amantea, D., & Tassorelli, C. (2017) · Journal of Neuroscience Research · doi:10.1002/jnr.24101 · Cited by 29
Cusumano, P., Biscontin, A., Sandrelli, F., Mazzotta, G. M., Tregnago, C., Pittà, C. D., & Costa, R. (2018) · PLoS Genetics · doi:10.1371/journal.pgen.1007500 · Cited by 30
Joo, M. S., Shin, S., Kim, E., Koo, H. J., Yim, H., & Kim, S. G. (2019) · The FASEB Journal · doi:10.1096/fj.201802744r · Cited by 30
Systems Studies Uncover miR-146a as a Target in Leishmania major Infection Model
Nimsarkar, P., Ingale, P., & Singh, S. (2020) · ACS Omega · doi:10.1021/acsomega.0c01502 · Cited by 30
MicroRNA-145 targets in cancer and the cardiovascular system: evidence for common signaling pathways
Sawant, D. B., & Lilly, B. (2020) · Vascular Biology · doi:10.1530/vb-20-0012 · Cited by 31
miR-548d-3p Alters Parasite Growth and Inflammation in Leishmania (Viannia) braziliensis Infection
Souza, M. D. A., Ramos-Sanchez, E. M., Muxel, S. M., Lagos, D., Reis, L. C., Pereira, V. R. A., de Brito, M. E. F., Zampieri, R. A., Kaye, P. M., Floeter‐Winter, L. M., et al. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.687647 · Cited by 29
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Leonova, A., Turpin, V., Agarwal, S. K., Leonardi, M., & Foster, W. G. (2021) · Biology of Reproduction · doi:10.1093/biolre/ioab134 · Cited by 29
Marttila, S., Viiri, L. E., Mishra, P. P., Kühnel, B., Matías‐García, P. R., Lyytikäinen, L., Ceder, T., Mononen, N., Rathmann, W., Winkelmann, J., et al. (2021) · Clinical Epigenetics · doi:10.1186/s13148-021-01132-3 · Cited by 29
MicroRNA Regulation of Human Herpesvirus Latency
Chen, S., Deng, Y. C., & Pan, D. (2022) · Viruses · doi:10.3390/v14061215 · Cited by 29
isomiRdb: microRNA expression at isoform resolution
Aparicio‐Puerta, E., Hirsch, P., Schmartz, G. P., Fehlmann, T., Keller, V., Engel, A., Kern, F., Hackenberg, M., & Keller, A. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac884 · Cited by 29
Expression and prognostic significance of hsa-miR-142-3p in acute leukemias
Dahlhaus, M., Roolf, C., Ruck, S., Lange, S., Freund, M., & Junghanß, C. (2013) · Neoplasma · doi:10.4149/neo_2013_056 · Cited by 29
Rapid and direct microRNA quantification by an enzymatic luminescence assay
Sun, Y., Gregory, K. J., Chen, N. G., & Golovlev, V. (2012) · Analytical Biochemistry · doi:10.1016/j.ab.2012.06.021 · Cited by 29
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Matejuk, A., Collet, G., Nadim, M., Grillon, C., & Kiéda, C. (2013) · Archivum Immunologiae et Therapiae Experimentalis · doi:10.1007/s00005-013-0231-4 · Cited by 30
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Lerner, M., Haneklaus, M., Harada, M., & Grandér, D. (2012) · PLoS ONE · doi:10.1371/journal.pone.0036490 · Cited by 29
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Konecna, A., Heraud-Farlow, J. E., Schoderboeck, L., Raposo, A. A. S. F., & Kiebler, M. A. (2009) · Neuroscience Letters · doi:10.1016/j.neulet.2009.06.050 · Cited by 30
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Biscontin, A., Casara, S., Cagnin, S., Tombolan, L., Rosolen, A., Lanfranchi, G., & Pittà, C. D. (2010) · BMC Molecular Biology · doi:10.1186/1471-2199-11-44 · Cited by 30
Chaulk, S. G., Ebhardt, H. A., & Fahlman, R. P. (2015) · Molecular BioSystems · doi:10.1039/c5mb00415b · Cited by 29
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Zhu, M., Huang, C. X., Ma, X., Wu, R., Zhu, W., Li, X., Liang, Z., Deng, F., Zhu, J., Xie, W., et al. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-150763 · Cited by 29
MicroRNA biomarkers of pancreatic injury in a canine model
Rouse, R. L., Rosenzweig, B. A., Shea, K., Knapton, A. D., Stewart, S. R., Xu, L., Chockalingam, A., Zadrozny, L. M., & Thompson, K. L. (2016) · Experimental and Toxicologic Pathology · doi:10.1016/j.etp.2016.11.001 · Cited by 29
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Gallelli, L., Cione, E., Caroleo, M. C., Carotenuto, M., Laganà, P., Siniscalchi, A., & Guidetti, V. (2017) · MicroRNA · doi:10.2174/2211536606666170913152821 · Cited by 29
Fort, R. S., Garat, B., Sotelo-Silveira, J. R., & Duhagon, M. A. (2020) · Non-Coding RNA · doi:10.3390/ncrna6010007 · Cited by 30
Distribution of ncRNAs expression across hypothalamic-pituitary-gonadal axis in Capra hircus
Capra, E., Lazzari, B., Frattini, S., Chessa, S., Coizet, B., Talenti, A., Castiglioni, B., Ajmone‐Marsan, P., Crepaldi, P., Pagnacco, G., et al. (2018) · BMC Genomics · doi:10.1186/s12864-018-4767-x · Cited by 28
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Zeng, M., & Zeng, Y. (2010) · Medical radiology · doi:10.1007/978-3-540-92810-2_2 · Cited by 28
MicroRNA regulation of viral immunity, latency, and carcinogenesis of selected tumor viruses and HIV
Wang, L., Li, G., Yao, Z. Q., Moorman, J. P., & Ning, S. (2015) · Reviews in Medical Virology · doi:10.1002/rmv.1850 · Cited by 29
The development of Wilms tumor: From WT1 and microRNA to animal models
Tian, F., Yourek, G., Shi, X., & Yang, Y. (2014) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2014.07.003 · Cited by 28
Liang, T., Yu, J., Liu, C., & Guo, L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0106223 · Cited by 28
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Mansfield, J. H., & McGlinn, E. (2012) · Current topics in developmental biology/Current Topics in Developmental Biology · doi:10.1016/b978-0-12-387038-4.00002-1 · Cited by 28
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Parr, C., Yamanaka, S., & Saito, H. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.66 · Cited by 29
Duffy, J., Padovani, F., Brunetti, G., Noy, P., Certa, U., & Hegner, M. (2018) · Nanoscale · doi:10.1039/c8nr03604g · Cited by 28
Morales, S., de Mayo, T., Gulppi, F., González‐Hormazábal, P., Carrasco, V., Reyes, J. M., Gómez, F., Waugh, E., & Lilian Jara, S. (2018) · Genes · doi:10.3390/genes9090427 · Cited by 28
Differences of microRNA expression profiles between monozygotic twins’ blood samples
Xiao, C., Pan, C., Liu, E., He, H., Liu, C., Huang, Y., Yi, S., & Huang, D. (2019) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2019.05.003 · Cited by 28
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Zhang, Z., Zhuang, L., & Lin, C. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20153643 · Cited by 28
Self-citationBazrgar, M., Khodabakhsh, P., Mohagheghi, F., Prudencio, M., & Ahmadiani, A. (2020) · Pharmacological Research · doi:10.1016/j.phrs.2020.104729 · Cited by 29
Xiong, S., Tian, J., Ge, S., Li, Z., Long, Z., Guo, W., Huang, P., He, Y., Xiao, T., Gui, J., et al. (2020) · Biology of Reproduction · doi:10.1093/biolre/ioaa125 · Cited by 28
Hazini, A., Dieringer, B., Pryshliak, M., Knoch, K.-P., Heimann, L., Tolksdorf, B., Pappritz, K., El-Shafeey, M. E. A., Solimena, M., Beling, A., et al. (2021) · Human Gene Therapy · doi:10.1089/hum.2020.228 · Cited by 28
Metadata
- Authors
- Landgraf, P., Rusu, M., Sheridan, R., Sewer, A., Iovino, N., Aravin, A., Pfeffer, S., Rice, A., Kamphorst, A. O., Landthaler, M., Lin, C., Socci, N. D., Hermida, L., Fulci, V., Chiaretti, S., Foà, R., Schliwka, J., Fuchs, U., Novosel, A., Müller, R.-U., Schermer, B., Bissels, U., Inman, J., Phan, Q., Chien, M., Weir, D. B., Choksi, R., De Vita, G., Frezzetti, D., Trompeter, H.-I., Hornung, V., Teng, G., Hartmann, G., Palkovits, M., Di Lauro, R., Wernet, P., Macino, G., Rogler, C. E., Nagle, J. W., Ju, J., Papavasiliou, F. N., Benzing, T., Lichter, P., Tam, W., Brownstein, M. J., Bosio, A., Borkhardt, A., Russo, J. J., Sander, C., Zavolan, M., & Tuschl, T.
- Affiliations
- Howard Hughes Medical Institute (US)
- University of Basel (CH)
- Memorial Sloan Kettering Cancer Center (US)
- SIB Swiss Institute of Bioinformatics (CH)
- Sapienza University of Rome (IT)
- German Cancer Research Center (DE)
- Ludwig-Maximilians-Universität München (DE)
- University Medical Center Freiburg (DE)
- Miltenyi Biotec (Germany) (DE)
- J. Craig Venter Institute (US)
- Columbia University (US)
- University of Naples Federico II (IT)
- Düsseldorf University Hospital (DE)
- Rockefeller University (US)
- University of Bonn (DE)
- Albert Einstein College of Medicine (US)
- National Institutes of Health (US)
- Cornell University (US)
- Corresponding author
- Zavolan, Mihaela
- Tuschl, Thomas
- ORCID
- Landgraf, Pablo
- Rusu, Mirabela
- Iovino, Nicola
- Aravin, Alexei
- Pfeffer, Sébastien
- Kamphorst, Alice O.
- Landthaler, Markus
- Lin, Carolina
- Socci, Nicholas D.
- Hermida, Leandro
- Fulci, Valerio
- Chiaretti, Sabina
- Foà, Robin
- Müller, Roman-Ulrich
- Schermer, Bernhard
- Inman, Jason
- Frezzetti, Daniela
- Trompeter, Hans-Ingo
- Hornung, Veit
- Hartmann, Gunther
- Papavasiliou, F. Nina
- Benzing, Thomas
- Tam, Wayne
- Bosio, Andreas
- Borkhardt, Arndt
- Russo, James J.
- Sander, Chris
- Zavolan, Mihaela
- Tuschl, Thomas
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2007-06
- Volume
- 129
- Issue
- 7
- Pages
- 1401-1414
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC2681231
- OpenAlex
- W2149146453
- Cited by
- 3,626
- References
- 70
- Citations by year
- 2026: 42 · 2025: 73 · 2024: 87 · 2023: 104 · 2022: 131 · 2021: 160 · 2020: 152 · 2019: 167 · 2018: 205 · 2017: 185 · 2016: 221 · 2015: 238 · 2014: 275 · 2013: 310 · 2012: 283
- FWCI
- 84.13
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 2274 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) (acceptedVersion)
- HAL (submittedVersion)
- MDC Repository (Max-Delbrueck-Center for Molecular Medicine) (submittedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (105945, 205321)
- National Institute of General Medical Sciences (P01GM073047)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Molecular Biology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
- Keywords
- microRNA, small RNA sequencing, microRNA precursors, microRNA maturation, miRNA conservation, microRNA target regulation, hematopoietic cells, neurons, cell lineage, miRNA expression profiling
- MeSH terms
- Animals, Base Sequence, Gene Expression Regulation, Hematopoietic Stem Cells, Humans, Molecular Sequence Data, Phylogeny, RNA, Messenger, Sequence Homology, Nucleic Acid, Gene Library, Conserved Sequence, Cell Lineage, Hematologic Neoplasms, Gene Expression Profiling, MicroRNAs, Mice, Rats
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