Publications

(^ co-first author, # corresponding author)

Group highlights

(For a full list of publications and patents see below or go to Google Scholar, ORCID)

Identification of visual cortex cell types and species differences using single-cell RNA sequencing

Wei, J., Hao, Z., Xu, C., Huang, M., Tang, L., Xu, N., Liu, R., Shen, Y., Teichmann, S. A., Miao, Z.#, & Liu, S.

Nature Communications. 13(1):1-21 (2022).

Single-cell transcriptomics of adult macaque hippocampus reveals neural precursor cell populations.

Hao, Z.-Z., Wei, J.-R., Xiao, D., Liu, R., Xu, N., Tang, L., Huang, M., Shen, Y., Xing, C., Huang, W., Liu, X., Xiang, M.#, Liu, Y.#, Miao, Z.# & Liu, S.#

Nat. Neurosci. 1–13 (2022).

High-throughput full-length single-cell RNA-seq automation.

We describe an automated protocol for full-length single-cell RNA sequencing, including both an in-house automated Smart-seq2 protocol and a commercial kit-based workflow. Besidse, we also provide a single-cell sequencing qaulity assessment program SCQUA.

Mamanova, L.#^, Miao, Z.^, Jinat, A., Ellis, P., Shirley, L. & Teichmann, S. A.#

Nat. Protoc. 16, 2886–2915 (2021).

Putative cell type discovery from single-cell gene expression data.

We present the Single-Cell Clustering Assessment Framework (SCCAF), a method for the automated identification of putative cell types from single-cell RNA sequencing (scRNA-seq) data.

Miao, Z., Moreno, P., Huang, N., Papatheodorou, I., Brazma, A.# & Teichmann, S. A.#

Nat. Methods 17, 621–628 (2020).

A test metric for assessing single-cell RNA-seq batch correction.

we present a user-friendly, robust and sensitive k-nearest-neighbor batch-effect test (kBET) for quantification of batch effects. We used kBET to assess commonly used batch-regression and normalization approaches, and to quantify the extent to which they remove batch effects while preserving biological variability.

Büttner, M.^, Miao, Z.^, Wolf, F. A., Teichmann, S. A.# & Theis, F. J.#

Nat. Methods 16, 43–49 (2019).

RNA-Puzzles Round III: 3D RNA structure prediction of five riboswitches and one ribozyme.

Miao, Z., Adamiak, R. W., Antczak, M., Batey, R. T., Becka, A. J., Biesiada, M., Boniecki, M. J., Bujnicki, J. M., Chen, S.-J., Cheng, C. Y., Chou, F.-C., Ferré-D’Amaré, A. R., Das, R., Dawson, W. K., Ding, F., Dokholyan, N. V., Dunin-Horkawicz, S., Geniesse, C., Kappel, K., Kladwang, W., Krokhotin, A., Łach, G. E., Major, F., Mann, T. H., Magnus, M., Pachulska-Wieczorek, K., Patel, D. J., Piccirilli, J. A., Popenda, M., Purzycka, K. J., Ren, A., Rice, G. M., Santalucia, J., Jr, Sarzynska, J., Szachniuk, M., Tandon, A., Trausch, J. J., Tian, S., Wang, J., Weeks, K. M., Williams, B., 2nd, Xiao, Y., Xu, X., Zhang, D., Zok, T. & Westhof, E.#

RNA 23, 655–672 (2017).

highlighted by Faculty Opinions

 

Full List of publications

Exome sequencing identifies homozygous variants in MBOAT7 associated with neurodevelopmental disorder
Nazmina, G., Khan, A.#, Jiang, J., Miao, Z., Khan, SN., Khan, MI., Shah, AH., Shah, AH., Khisroon, M.#, Haack, TB.
Clin Genet. 10.1111/cge.14469(2023).

Regulatory circular RNAs in viral diseases: applications in diagnosis and therapy.
Wang, W., Sun, L., Huang, M., Quan, Y., Jiang, T., Miao, Z.#, Zhang, Q.#
RNA Biol. doi.org/10.1080/15476286.2023.2272118 (2023).

Assessment of three-dimensional RNA structure prediction in CASP15.
Das, R.#, Kretsch, RC., Simpkin, AJ., Mulvaney, T., Pham, P., Rangan, R., Bu, F., Keegan, RM., Topf, M., Rigden, DJ.,Miao, Z.#, Westhof, E.#
Proteins. 10.1002/prot.26602(2023).

Nr4a1 marks a distinctive ILC2 activation subset in the mouse inflammatory lung.
Xu, S., Zhang, Y., Liu, X., Liu, H., Zou, X., Zhang, L., Wang, J., Zhang, Z., Xu, X., Li, M., Li, K., Shi, S., Zhang, Y., Miao, Z., Zha, J., Yu, Y.
BMC Biol. 10.1186/s12915-023-01690-3(2023).

Benchmarking strategies for cross-species integration of single-cell RNA sequencing data.
Song, Y., Miao, Z., Brazma, A., Papatheodorou, I.
Nat Commun. 10.1038/s41467-023-41855-w(2023)

Ribocentre-switch: a database of riboswitches.
Bu, F., Lin, X., Liao, W., Lu, Z., He, Y., Luo, Y., Peng, X., Li, M., Huang, Y., Chen, X., Xiao, B., Jiang, J., Deng, J., Huang, J., Lin, T., Miao, Z.#, Huang, L.#
Nucleic Acids Res. gkad891 (2023).

Single Cell Analysis of the Fate of Injected Oncogenic RasV12 Cells in Adult Wild Type Drosophila.
Chen, D., Lan, X., Huang, X., Huang, J., Zhou, X., Miao, Z., Ma, Y., Goto, A., Ji, S., & Hoffmann, J. A.
J Innate Immun, 15(1), 442–467(2023).

Structural basis of sRNA RsmZ regulation of Pseudomonas aeruginosa virulence.
Jia, X., Pan, Z., Yuan, Y., Luo, B., Luo, Y., Mukherjee, S., Jia, G., Liu, L., Ling, X., Yang, X., Miao, Z., Wei, X., Bujnicki, J.M., Zhao, K., Su, Z.
Cell Res. 10.1038/s41422-023-00786–3 (2023).

Sterile 20-like kinase 3 promotes tick-borne encephalitis virus assembly by interacting with NS2A and prM and enhancing the NS2A-NS4A association.
Tang, J., Xu, C., Fu, M., Liu, C., Zhang, X., Zhang, W., Pei, R., Wang, Y., Zhou, Y., Chen, J., Miao, Z., Pan, G., Yang, Q., Chen, X.
J Med Virol. 10.1002/jmv.28610 (2023).

RNA 3D Structure Comparison Using RNA-Puzzles Toolkit
Magnus, M., & Miao, Z.#
RNA Structure Prediction. Springer US, 263-285 (2023).

Defects and asymmetries in the visual pathway of non-human primates with natural strabismus and amblyopia
Liu, F., Wang, Z., Huang, W., Xu, Y., Sang, X., Liu, R., Li, Z., Bi, Y., Tang, L., Peng, J., Wei, J., Miao, Z., Yan, J., & Liu, S.
Zoological Research. 44(1):153-168 (2023).

Identification of visual cortex cell types and species differences using single-cell RNA sequencing
Wei, J., Hao, Z., Xu, C., Huang, M., Tang, L., Xu, N., Liu, R., Shen, Y., Teichmann, S. A., Miao, Z.#, & Liu, S.
Nature Communications. 13(1):1-21 (2022).

Ribocentre: a database of ribozymes.
Deng, J., Shi, Y., Peng, X., He, Y., Chen, X., Li, M., Lin, X., Liao, W., Huang, Y., Jiang, T., Lilley, D. M. J., Miao, Z.#, & Huang, L.#
Nucleic Acids Res. gkac840 (2022).

Single-cell atlas of human liver development reveals pathways directing hepatic cell fates.
Wesley, B. T., Ross, A. D. B., Muraro, D., Miao, Z., Saxton, S., Tomaz, R. A., Morell, C. M., Ridley, K., Zacharis, E. D., Petrus-Reurer, S., Kraiczy, J., Mahbubani, K. T., Brown, S., Garcia-Bernardo, J., Alsinet, C., Gaffney, D., Horsfall, D., Tysoe, O. C., Botting, R. A., Stephenson, E., Popescu, D.-M., MacParland, S., Bader, G., McGilvray, I. D., Ortmann, D., Sampaziotis, F., Saeb-Parsy, K., Haniffa, M., Stevens, K. R., Zilbauer, M., Teichmann, S. A., & Vallier, L.#
Nat Cell Biol. 1476-4679 (2022).

Linking transcriptomes with morphological and functional phenotypes in mammalian retinal ganglion cells.
Huang, W., Xu, Q., Su, J., Tang, L., Hao, Z.-Z., Xu, C., Liu, R., Shen, Y., Sang, X., Xu, N., Tie, X., Miao, Z.^, Liu, X., Xu, Y., Liu, F., Liu, Y., & Liu, S.#
Cell Rep. 40(11):111322 (2022).

Computational Pipeline for Reference-Free Comparative Analysis of RNA 3D Structures Applied to SARS-CoV-2 UTR Models. International Journal of Molecular Sciences.
Gumna J., Antczak M., Adamiak RW., Bujnicki JM., Chen S-J., Ding F., Ghosh P., Li J., Mukherjee S., Nithin C., Pachulska-Wieczorek K., Ponce-Salvatierra A., Popenda M., Sarzynska J., Wirecki T., Zhang D., Zhang S., Zok T., Westhof E., Miao Z.#, Szachniuk M., & Rybarczyk A.#
Models. Int. J. Mol. Sci.23, 9630 (2022).

Single-cell transcriptomics of adult macaque hippocampus reveals neural precursor cell populations.
Hao, Z.-Z., Wei, J.-R., Xiao, D., Liu, R., Xu, N., Tang, L., Huang, M., Shen, Y., Xing, C., Huang, W., Liu, X., Xiang, M.#, Liu, Y.#, Miao, Z.# & Liu, S.#
Nat. Neurosci. 1–13 (2022).

Identification of TPBG-Expressing Amacrine Cells in DAT-tdTomato Mouse.
Huang, W., Xu, Q., Liu, F., Su, J., Xiao, D., Tang, L., Hao, Z.-Z., Liu, R., Xiang, K., Bi, Y., Miao, Z., Liu, X., Liu, Y. & Liu, S.#
Invest. Ophthalmol. Vis. Sci. 63, 13–13 (2022).

Single-cell genomics identifies distinct B1 cell developmental pathways and reveals aging-related changes in the B-cell receptor repertoire.
Luo, Y., Wang, J., Li, K., Li, M., Xu, S., Liu, X., Zhang, Z., Xu, X., Zhang, Y., Pan, J., Liu, P., Gao, S., Miao, Z.# & Yu, Y.#
Cell Biosci. 12, 57 (2022).

Expression Atlas update: gene and protein expression in multiple species.
Moreno, P., Fexova, S., George, N., Manning, J. R., Miao, Z., Mohammed, S., Muñoz-Pomer, A., Fullgrabe, A., Bi, Y., Bush, N., Iqbal, H., Kumbham, U., Solovyev, A., Zhao, L., Prakash, A., García-Seisdedos, D., Kundu, D. J., Wang, S., Walzer, M., Clarke, L., Osumi-Sutherland, D., Tello-Ruiz, M. K., Kumari, S., Ware, D., Eliasova, J., Arends, M. J., Nawijn, M. C., Meyer, K., Burdett, T., Marioni, J., Teichmann, S., Vizcaíno, J. A., Brazma, A.# & Papatheodorou, I.#
Nucleic Acids Res. 50, D129–D140 (2022)

Single-Cell Analysis Reveals the Immune Characteristics of Myeloid Cells and Memory T Cells in Recovered COVID-19 Patients With Different Severities.
Li, X.^, Garg, M.^, Jia, T., Liao, Q., Yuan, L., Li, M., Wu, Z., Wu, W., Bi, Y., George, N., Papatheodorou, I., Brazma, A., Luo, H., Fang, S., Miao, Z.# ,Shu, Y.#
Frontiers in Immunology 12, 1664-3224 (2022).

Evaluation of the stereochemical quality of predicted RNA 3D models in the RNA-Puzzles submissions.
Carrascoza, F., Antczak, M., Miao, Z.#, Westhof, E. & Szachniuk, M.#
RNA (2021). doi:10.1261/rna.078685.121.

Meta-analysis of COVID-19 single-cell studies confirms eight key immune responses.
Garg, M.^, Li, X.^, Moreno, P., Papatheodorou, I., Shu, Y.#, Brazma, A.# & Miao, Z.#
Sci. Rep. 11, 20833 (2021).

Mapping Rora expression in resting and activated CD4+ T cells.
Haim-Vilmovsky, L., Henriksson, J., Walker, J. A., Miao, Z.#, Natan, E., Kar, G., Clare, S., Barlow, J. L., Charidemou, E., Mamanova, L., Chen, X., Proserpio, V., Pramanik, J., Woodhouse, S., Protasio, A. V., Efremova, M., Griffin, J. L., Berriman, M., Dougan, G., Fisher, J., Marioni, J. C., McKenzie, A. N. J. & Teichmann, S. A.#
PLoS One 16, e0251233 (2021).

High-throughput full-length single-cell RNA-seq automation.
Mamanova, L.#^, Miao, Z.^, Jinat, A., Ellis, P., Shirley, L. & Teichmann, S. A.#
Nat. Protoc. 16, 2886–2915 (2021).

User-friendly, scalable tools and workflows for single-cell RNA-seq analysis.
Moreno, P., Huang, N., Manning, J. R., Mohammed, S., Solovyev, A., Polanski, K., Bacon, W., Chazarra, R., Talavera-López, C., Doyle, M. A., Marnier, G., Grüning, B., Rasche, H., George, N., Fexova, S. K., Alibi, M., Miao, Z., Perez-Riverol, Y., Haeussler, M., Brazma, A., Teichmann, S., Meyer, K. B. & Papatheodorou, I.#
Nat. Methods 18, 327–328 (2021).

Longevity, clonal relationship, and transcriptional program of celiac disease-specific plasma cells.
Lindeman, I., Zhou, C., Eggesbø, L. M., Miao, Z., Polak, J., Lundin, K. E. A., Jahnsen, J., Qiao, S.-W., Iversen, R. & Sollid, L. M.#
J. Exp. Med. 218(2):e20200852, (2021).

Single-cell meta-analysis of SARS-CoV-2 entry genes across tissues and demographics.
Muus, C., Luecken, M. D., Eraslan, G., Sikkema, L., Waghray, A., Heimberg, G., Kobayashi, Y., Vaishnav, E. D., Subramanian, A., Smillie, C., Jagadeesh, K. A., Duong, E. T., Fiskin, E., Triglia, E. T., Ansari, M., Cai, P., Lin, B., Buchanan, J., Chen, S., Shu, J., Haber, A. L., Chung, H., Montoro, D. T., Adams, T., Aliee, H., Allon, S. J., Andrusivova, Z., Angelidis, I., Ashenberg, O., Bassler, K., Bécavin, C., Benhar, I., Bergenstråhle, J., Bergenstråhle, L., Bolt, L., Braun, E., Bui, L. T., Callori, S., Chaffin, M., Chichelnitskiy, E., Chiou, J., Conlon, T. M., Cuoco, M. S., Cuomo, A. S. E., Deprez, M., Duclos, G., Fine, D., Fischer, D. S., Ghazanfar, S., Gillich, A., Giotti, B., Gould, J., Guo, M., Gutierrez, A. J., Habermann, A. C., Harvey, T., He, P., Hou, X., Hu, L., Hu, Y., Jaiswal, A., Ji, L., Jiang, P., Kapellos, T. S., Kuo, C. S., Larsson, L., Leney-Greene, M. A., Lim, K., Litviňuková, M., Ludwig, L. S., Lukassen, S., Luo, W., Maatz, H., Madissoon, E., Mamanova, L., Manakongtreecheep, K., Leroy, S., Mayr, C. H., Mbano, I. M., McAdams, A. M., Nabhan, A. N., Nyquist, S. K., Penland, L., Poirion, O. B., Poli, S., Qi, C., Queen, R., Reichart, D., Rosas, I., Schupp, J. C., Shea, C. V., Shi, X., Sinha, R., Sit, R. V., Slowikowski, K., Slyper, M., Smith, N. P., Sountoulidis, A., Strunz, M., Sullivan, T. B., Sun, D., Talavera-López, C., Tan, P., Tantivit, J., Travaglini, K. J., Tucker, N. R., Vernon, K. A., Wadsworth, M. H., Waldman, J., Wang, X., Xu, K., Yan, W., Zhao, W., Ziegler, C. G. K., NHLBI LungMap Consortium & Human Cell Atlas Lung Biological Network. Miao, Z. as a consortium author in Human Cell Atlas Lung Biological Network.
Nat. Med. 27, 546–559 (2021).

NCKAP1L defects lead to a novel syndrome combining immunodeficiency, lymphoproliferation, and hyperinflammation.
Castro, C. N., Rosenzwajg, M., Carapito, R., Shahrooei, M., Konantz, M., Khan, A., Miao, Z., Groß, M., Tranchant, T., Radosavljevic, M., Paul, N., Stemmelen, T., Pitoiset, F., Hirschler, A., Nespola, B., Molitor, A., Rolli, V., Pichot, A., Faletti, L. E., Rinaldi, B., Friant, S., Mednikov, M., Karauzum, H., Aman, M. J., Carapito, C., Lengerke, C., Ziaee, V., Eyaid, W., Ehl, S., Alroqi, F., Parvaneh, N. & Bahram, S.
J. Exp. Med. 217(12):e20192275, (2020).

SARS-CoV-2 entry factors are highly expressed in nasal epithelial cells together with innate immune genes.
Sungnak, W., Huang, N., Bécavin, C., Berg, M., Queen, R., Litvinukova, M., Talavera-López, C., Maatz, H., Reichart, D., Sampaziotis, F., Worlock, K. B., Yoshida, M., Barnes, J. L. & Human Cell Atlas Lung Biological Network. Miao, Z. as a consortium author in Human Cell Atlas Lung Biological Network.
Nat. Med. 26(5):681-687 (2020).

Two Cases of Recessive Intellectual Disability Caused by NDST1 and METTL23 Variants.
Khan, A., Miao, Z., Umair, M., Ullah, A., Alshabeeb, M. A., Bilal, M., Ahmad, F., Rappold, G. A., Ansar, M. & Carapito, R.#
Genes (Basel) 11(9):1021 (2020).

Secondary structure of the SARS-CoV-2 5’-UTR.
Miao, Z., Tidu, A., Eriani, G. & Martin, F.#
RNA Biol. 18, 447–456 (2021).

Advances in RNA 3D Structure Modeling Using Experimental Data.
Li, B., Cao, Y., Westhof, E. & Miao, Z.#
Front. Genet. 11:574485, (2020).

RNA-Puzzles Round IV: 3D structure predictions of four ribozymes and two aptamers.
Miao, Z., Adamiak, R. W., Antczak, M., Boniecki, M. J., Bujnicki, J., Chen, S.-J., Cheng, C. Y., Cheng, Y., Chou, F.-C., Das, R., Dokholyan, N. V., Ding, F., Geniesse, C., Jiang, Y., Joshi, A., Krokhotin, A., Magnus, M., Mailhot, O., Major, F., Mann, T. H., Piątkowski, P., Pluta, R., Popenda, M., Sarzynska, J., Sun, L., Szachniuk, M., Tian, S., Wang, J., Wang, J., Watkins, A. M., Wiedemann, J., Xiao, Y., Xu, X., Yesselman, J. D., Zhang, D., Zhang, Y., Zhang, Z., Zhao, C., Zhao, P., Zhou, Y., Zok, T., Żyła, A., Ren, A., Batey, R. T., Golden, B. L., Huang, L., Lilley, D. M., Liu, Y., Patel, D. J. & Westhof, E.#
RNA 26, 982–995 (2020).

Putative cell type discovery from single-cell gene expression data.
Miao, Z., Moreno, P., Huang, N., Papatheodorou, I., Brazma, A.# & Teichmann, S. A.#
Nat. Methods 17, 621–628 (2020).

RNA-Puzzles toolkit: a computational resource of RNA 3D structure benchmark datasets, structure manipulation, and evaluation tools.
Magnus, M., Antczak, M., Zok, T., Wiedemann, J., Lukasiak, P., Cao, Y., Bujnicki, J. M., Westhof, E., Szachniuk, M. & Miao, Z.#
Nucleic Acids Res. 48, 576–588 (2020).

Decoding human fetal liver haematopoiesis.
Popescu, D.-M., Botting, R. A., Stephenson, E., Green, K., Webb, S., Jardine, L., Calderbank, E. F., Polanski, K., Goh, I., Efremova, M., Acres, M., Maunder, D., Vegh, P., Gitton, Y., Park, J.-E., Vento-Tormo, R., Miao, Z., Dixon, D., Rowell, R., McDonald, D., Fletcher, J., Poyner, E., Reynolds, G., Mather, M., Moldovan, C., Mamanova, L., Greig, F., Young, M. D., Meyer, K. B., Lisgo, S., Bacardit, J., Fuller, A., Millar, B., Innes, B., Lindsay, S., Stubbington, M. J. T., Kowalczyk, M. S., Li, B., Ashenberg, O., Tabaka, M., Dionne, D., Tickle, T. L., Slyper, M., Rozenblatt-Rosen, O., Filby, A., Carey, P., Villani, A.-C., Roy, A., Regev, A., Chédotal, A., Roberts, I., Göttgens, B., Behjati, S., Laurenti, E., Teichmann, S. A.# & Haniffa, M.#
Nature 574, 365–371 (2019).

BBKNN: Fast Batch Alignment of Single Cell Transcriptomes.
Polański, K.^, Park, J.-E.^, Young, M. D.^, Miao, Z., Meyer, K. B. & Teichmann, S. A.#
Bioinformatics 36(3):964-965 (2019).

AbRSA: A robust tool for antibody numbering.
Li, L.^, Chen, S.^, Miao, Z.^, Liu, Y., Liu, X., Xiao, Z.-X.# & Cao, Y.#
Protein Sci. 28, 1524–1531 (2019).

Exome sequencing identifies a novel missense variant in CTSC causing nonsyndromic aggressive periodontitis.
Molitor, A., Prud’homme, T., Miao, Z., Conrad, S., Bloch-Zupan, A., Pichot, A., Hanauer, A., Isidor, B., Bahram, S. & Carapito, R.#
Journal of Human Genetics 64, 689–694 (2019).

Comparative analysis of sequencing technologies for single-cell transcriptomics.
Natarajan, K. N.#^, Miao, Z.^, Jiang, M., Huang, X., Zhou, H., Xie, J., Wang, C., Qin, S., Zhao, Z., Wu, L., Yang, N., Li, B., Hou, Y., Liu, S. & Teichmann, S. A.#
Genome Biol. 20(1):70 (2019).

A test metric for assessing single-cell RNA-seq batch correction.
Büttner, M.^, Miao, Z.^, Wolf, F. A., Teichmann, S. A.# & Theis, F. J.#
Nat. Methods 16, 43–49 (2019).

Genome-wide analyses reveal the IRE1a-XBP1 pathway promotes T helper cell differentiation by resolving secretory stress and accelerating proliferation.
Pramanik, J., Chen, X., Kar, G., Henriksson, J., Gomes, T., Park, J.-E., Natarajan, K., Meyer, K. B., Miao, Z., McKenzie, A. N. J., Mahata, B.# & Teichmann, S. A.#
Genome Med. 10, 76 (2018).

Evaluation of Protein-Ligand Docking by Cyscore.
Cao, Y., Dai, W. & Miao, Z.
Methods in Molecular Biology 1762:233–243 (2018).

Mutations in signal recognition particle SRP54 cause syndromic neutropenia with Shwachman-Diamond-like features.
Carapito, R., Konantz, M., Paillard, C., Miao, Z., Pichot, A., Leduc, M. S., Yang, Y., Bergstrom, K. L., Mahoney, D. H., Shardy, D. L., Alsaleh, G., Naegely, L., Kolmer, A., Paul, N., Hanauer, A., Rolli, V., Müller, J. S., Alghisi, E., Sauteur, L., Macquin, C., Morlon, A., Sancho, C. S., Amati-Bonneau, P., Procaccio, V., Mosca-Boidron, A.-L., Marle, N., Osmani, N., Lefebvre, O., Goetz, J. G., Unal, S., Akarsu, N. A., Radosavljevic, M., Chenard, M.-P., Rialland, F., Grain, A., Béné, M.-C., Eveillard, M., Vincent, M., Guy, J., Faivre, L., Thauvin-Robinet, C., Thevenon, J., Myers, K., Fleming, M. D., Shimamura, A., Bottollier-Lemallaz, E., Westhof, E., Lengerke, C., Isidor, B. & Bahram, S.#
J. Clin. Invest. 127, 4090–4103 (2017).

RNA Structure: Advances and Assessment of 3D Structure Prediction.
Miao, Z.# & Westhof, E.#
Annu. Rev. Biophys. 46, 483–503 (2017).

RNA-Puzzles Round III: 3D RNA structure prediction of five riboswitches and one ribozyme.
Miao, Z., Adamiak, R. W., Antczak, M., Batey, R. T., Becka, A. J., Biesiada, M., Boniecki, M. J., Bujnicki, J. M., Chen, S.-J., Cheng, C. Y., Chou, F.-C., Ferré-D’Amaré, A. R., Das, R., Dawson, W. K., Ding, F., Dokholyan, N. V., Dunin-Horkawicz, S., Geniesse, C., Kappel, K., Kladwang, W., Krokhotin, A., Łach, G. E., Major, F., Mann, T. H., Magnus, M., Pachulska-Wieczorek, K., Patel, D. J., Piccirilli, J. A., Popenda, M., Purzycka, K. J., Ren, A., Rice, G. M., Santalucia, J., Jr, Sarzynska, J., Szachniuk, M., Tandon, A., Trausch, J. J., Tian, S., Wang, J., Weeks, K. M., Williams, B., 2nd, Xiao, Y., Xu, X., Zhang, D., Zok, T. & Westhof, E.#
RNA 23, 655–672 (2017).

Quantifying side-chain conformational variations in protein structure.
Miao, Z.# & Cao, Y.#
Sci. Rep. 6, 37024 (2016).

RBscore&NBench: a high-level web server for nucleic acid binding residues prediction with a large-scale benchmarking database.
Miao, Z.# & Westhof, E.#
Nucleic Acids Res. 44, W562–7 (2016).

DRSP: a Structural Database for Single Residue Substitutions in PDB.
Liu, J.^, Miao, Z.^, Li, L., Xiao, Z. & Cao, Y.#
pibb.2016.0056

Prediction of nucleic acid binding probability in proteins: a neighboring residue network based score.
Miao, Z. & Westhof, E.#
Nucleic Acids Res. 43, 5340–5351 (2015).

RNA-Puzzles Round II: assessment of RNA structure prediction programs applied to three large RNA structures.
Miao, Z., Adamiak, R. W., Blanchet, M.-F., Boniecki, M., Bujnicki, J. M., Chen, S.-J., Cheng, C., Chojnowski, G., Chou, F.-C., Cordero, P., Cruz, J. A., Ferré-D’Amaré, A. R., Das, R., Ding, F., Dokholyan, N. V., Dunin-Horkawicz, S., Kladwang, W., Krokhotin, A., Lach, G., Magnus, M., Major, F., Mann, T. H., Masquida, B., Matelska, D., Meyer, M., Peselis, A., Popenda, M., Purzycka, K. J., Serganov, A., Stasiewicz, J., Szachniuk, M., Tandon, A., Tian, S., Wang, J., Xiao, Y., Xu, X., Zhang, J., Zhao, P., Zok, T. & Westhof, E.#
RNA 21, 1066–1084 (2015).

A Large-Scale Assessment of Nucleic Acids Binding Site Prediction Programs.
Miao, Z. & Westhof, E.#
PLoS Comput. Biol. 11, e1004639 (2015).

Modeling of protein side-chain conformations with RASP.
Miao, Z., Cao, Y. & Jiang, T.#
Methods Mol. Biol. 1137, 43–53 (2014).

RNA structure analysis of human spliceosomes reveals a compact 3D arrangement of snRNAs at the catalytic core.
Anokhina, M., Bessonov, S., Miao, Z., Westhof, E., Hartmuth, K. & Lührmann, R.#
EMBO J. 32, 2804–2818 (2013).

RASP: rapid modeling of protein side chain conformations.
Miao, Z., Cao, Y. & Jiang, T.#
Bioinformatics 27, 3117–3122 (2011).

Improved side-chain modeling by coupling clash-detection guided iterative search with rotamer relaxation.
Cao, Y., Song, L., Miao, Z., Hu, Y., Tian, L. & Jiang, T.#
Bioinformatics 27, 785–790 (2011).