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      Functional validation of TERT and TERC variants of uncertain significance in patients with short telomere syndromes

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          Abstract

          Dear Editor, Accelerated shortening of telomeres can induce premature cell senescence that can clinically manifest as bone marrow failure (BMF), idiopathic pulmonary fibrosis (IPF), cryptogenic cirrhosis, nodular regenerative hyperplasia, vascular malformations, immunodeficiency, and structural brain abnormalities, all of which are included under the umbrella term of short telomere syndromes (STSs) 1 . Two main criteria used to diagnose STS include the documentation of shortened telomere lengths (TLs) by a Clinical Laboratory Improvement Amendments (CLIA)-certified flowFISH (fluorescence in situ hybridization) assay 2 and the presence of pathogenic variants in genes related to telomere maintenance identified through next-generation sequencing (NGS). These genes include, but are not limited to, hTERT (human telomerase reverse transcriptase) and hTERC (human telomerase RNA component), the two main components of the telomerase holoenzyme complex that is responsible for creating new telomeric DNA (Supplementary Fig. 1) 1 . In our experience, a pathogenic variant in the coding sequence of a telomere-associated gene can be identified in only 40% of STS cases using current sequencing approaches, with the remaining cases either having no identifiable variant or possessing a variant(s) of uncertain significance (VUS) 1,3 . In addition, in some of these cases, the TL values were not conclusively shortened (i.e., not < first percentile in lymphocytes and/or granulocytes documented by a CLIA-certified FlowFISH assay) complicating the diagnosis. At Mayo Clinic, we established a dedicated BMF clinic in collaboration with the center for Individualized Medicine and the division of Hematology, so as to leverage the latest NGS technologies and functional assays to assist patients with unexplained BMF syndromes, including STS-related marrow failure 3,4 . We have developed a systematic algorithmic approach to assess STS patients that includes TL testing by flowFISH and genomic assessment of STS-related gene mutations using an in-house designed targeted NGS panel (Supplementary Table 1). Through this effort, we have identified 32 patients with an STS phenotype and TLs at or below the tenth percentile. Twenty-two patients (69%) did not have detectable pathogenic variants (in spite of a clinical phenotype) or were found to carry a VUS in STS-related genes (ten patients; 31%). In the latter group, the VUS were located in hTERT (four variants), hTERC (one patient), RTEL1 (regulator of telomere elongation helicase 1; two variants), TINF2 (TERF1-interacting nuclear factor 2; two variants), and NAF1 (nuclear assembly factor 1 ribonucleoprotein; one variant). Patients with hTERT VUS (Table 1 and Supplemental Fig. 2) were selected for three-dimensional (3D) computational modeling and functional interrogation, largely due to the availability of a well-described functional assays, namely the telomerase repeat amplification protocol (TRAP), which can be used to test telomerase activity (Supplemental Methods) 5,6 . Table 1 Table summarizing clinical features, variants, and testing results for patients with a clinical phenotype of a STS. Case no. Age/sex Clinical features Significant family history (yes/no)a FlowFISH TL (centile length in granulocytes/ lymphocytes) Gene cDNA change Protein change Protein region In silico predictions (SIFT/PolyPhen) CADD score 3D model prediction Conclusion from TRAP assay ACMG classification (at the clinical report/after research testing) 1b 23/M Premature graying of hair, macrocytosis, thrombocytopenia, bilateral hip avascular necrosis Yes <1st/<1st TERT c.2768 C > T p.Pro923Leu Reverse-transcriptase domain Deleterious/probably damaging 24.2 Destabilizes structure NA Pathogenic/pathogenic 2 69/F Premature graying of hair, IPF, anemia, leukopenia No 10th/10th TERT c.3362 C > T p.Pro1121Leu C-terminal extension Deleterious/probably damaging 22.9 Destabilizes structure Absent telomerase function VUS/likely pathogenic 3 27/F Macrocytosis, neutropenia No <1st/1st TERT c.1765A > C p.Ile589Leu None described Tolerated/benign 5.08 Neutral Decreased telomerase function VUS/likely pathogenic 4 19/M Macrocytosis No <1st/<1st TERT c.1885G > A p.Gly629Arg Reverse-transcriptase domain Deleterious/probably damaging 23.1 NA Decreased telomerase function VUS/pathogenic 5 47/M IPF, pancytopenia No <1st/<1st TERC n.238 G > C NA NA NA NA Changes TERC organization NA VUS/pathogenic FISH fluorescence in situ hybridization, IPF idiopathic pulmonary fibrosis, NA not applicable, STS short telomere syndrome, TL telomere length, TRAP telomerase repeated amplification protocol. aSignificant family history was defined as the presence of one or more first- or second-degree relatives with one or more clinical features characteristic of STSs, such as premature onset of hair graying (age < 30 years), IPF, cryptogenic cirrhosis or nodular regenerative hyperplasia, or unexplained cytopenias. bClinical history of this case were previously published; however, functional testing results are new. All patients (Table 1) had BMF with additional STS features (IPF in patients 2 and 5, and premature graying of hair in patients 1 and 2). FlowFISH testing indicated a TL below the first centile in both lymphocytes and granulocytes in all patients, except in patient 2 were the TL was at the tenth centile range (Fig. 1a). NGS testing uncovered hTERT variants in patients 1–4 and a hTERC variant in patient 5. To increase our interpretive resolution for hTERT variants, we created a computational 3D protein model of the human telomerase complex that we used to assess the intra- and inter-molecular interactions within the complex. Our current model includes all amino acids of hTERT and a contiguous section of hTERC with the bound DNA heteroduplex. This model was generated using homology-based methods 7,8 and the experimentally solved structure of TERT from Tetrahymena thermophila [PDB 6d6v 9 ]. The human Reverse Transcriptase thumb domain of telomerase was experimentally solved [5ugw 10 ] and added to our model using threading. Genomic variants were assessed in their 3D context using FoldX 11 . Recent model fitting to a cryogenic electron microscopy map of human telomerase core particle was published 12 and was used here in comparison to our current model of full-length TERT. Fig. 1 Functional validation of variants of uncertain significance in hTERT/hTERC. a Mean telomere length in lymphocytes and granulocytes from blood samples measured by flowFISH. All patients presented clinical signs of STS and genetic variants in the holozenzyme telomerase. While most patients (1, 3, 4, and 5) presented clearly shortened telomeres, patient 2 showed fringe values closer to the 10th centile. b Recent studies have resolved human telomerase core components, which can be combined with additional data to generate a more specific and comprehensive model for interpreting the effects of telomerase variation. We used molecular modeling to develop a finer resolution of interpretation for telomerase variants identified through clinical genomics sequencing. The nucleotide backbones of RNA and DNA are colored in orange and gold, respectively, and each protein domain is colored distinctly with the intervening loops demarcated in white. Our current model of human telomeres consists of all amino acids of hTERT and a large contiguous section of hTERC. This model was generated based off of homology relationships and energetic refinement. The 3D relationships among amino acids of TERT and nucleotides of TERC enable us to make specific predictions for the impact and effects of genomic variants. c Blood protein extracts from patients carrying TERT variants were tested using the TRAP assay for telomerase activity. In comparison to healthy individuals used as controls (second lane in each panel), the results indicated absent (patient 2) or diminished (patients 3 and 4) telomerase activity in all samples tested, suggesting pathogenicity of the variants. When indicated, we used our 3D model to suggest mechanisms of pathogenicity for these variants as follows 1 : hTERT c.2768 C > T; p.Pro923Leu (patient 1) is located near the helix required for oligomerization and is adjacent to p.Arg901 and p.Lys902—sites where bona fide loss-of-function mutations have been described (Fig. 1b) 2 . hTERT c.3362 C > T; p.Pro1121Leu (patient 2) is present at the end of the reverse-transcriptase thumb domain at a position where the peptide chain crosses back against residues 999–1003. Further, hTERC wraps around one side of this thumb and the DNA winds across the other side, so that any changes to the internal organization/arrangement of this thumb may significantly alter function (Fig. 1b) 3 . The third variant hTERT c,1765A > C; p.Ile589Leu (patient 3) affects a residue located in the helix near the hTERC interface possibly affecting stability of this interaction (Fig. 1b) 4 . The fourth variant, hTERT c.1885G > A; p.Gly629Arg is located in a loop between the DNA strand of the heteroduplex, and Lys626 and Arg631, both of which make contact with the DNA strand (Fig. 1b). In addition to this information, further functional testing was pursued for these variants with the exception of hTERT c.2768 C > T; p.Pro923Leu (Patient 1), where we considered the evidence already available, including a published functional report, to be strong enough to consider this variant as being pathogenic 13 (more information in ref. 3 ). For the remaining patients with hTERT variants, we evaluated their telomerase activity using the TRAP assay 5 . TRAP semi-quantitatively measures the capacity to elongate a telomere-imitating oligonucleotide via hTERT processing in a patient’s samples over several amplification cycles, akin to a quantitative PCR reaction. The commercially available TRAPeze Telomerase Detection Kit (Supplemental Methods) was employed in peripheral blood mononuclear cells from patients 2–4 and the results indicated decreased telomerase activity in all samples compared to age-matched patient controls (Fig. 1c). This data, together with our 3D-prediction models, allowed us to re-classify these variants as pathogenic or likely pathogenic (Table 1). The hTERC VUS in patient 5 (n.238 G > C) was located in the stem loop in the CD4/5 region and our 3D model analysis indicated a likely reorganization of the stem loop as a consequence of this change, thereby altering the secondary structure of the RNA. Additionally, a previous report had indicated decreased telomerase activity in patients carrying this variant when tested by the TRAP assay 14 . We felt that given the clinical context, this information was sufficient enough to classify this variant as pathogenic without the need for additional testing. In conclusion, we demonstrate the importance and feasibility of using 3D molecular modeling and functional assays to classify variants identified in the hTERT holoenzyme. By using these methods, we were able to provisionally re-classify five VUS identified in patients with STS, an important step forward in mutational nomenclature. Importantly, pathogenic variants in hTERT/hTERC comprise 52% of STS-related mutations described in the Human Gene Mutation Database (https://portal.biobase-international.com/hgmd/). For the remaining 48% of mutations that encompass several genes involved in TL regulation, there currently are no reliable functional assays (e.g., assessment of RTEL1 abnormalities by T-circle detection demonstrates considerable variability). Thus, variants identified in our clinic impacting RTEL1, TINF2, and NAF1 still remain unclassifiable and their causal impact on TL in these patients remains unknown. TRAP assays also demonstrate inherent variabilities between tissue samplings and between individuals within the same age range, limiting the routine implementation of these assays in clinic. The development of cell line-based assays utilizing genetic engineering of variants and assessing their impact on TL could be one potential way of overcoming these limitations. In summary, while we were able to assess the pathogenicity of h TERT/h TERC variants using 3D modeling and the TRAP assay, a lot more work is needed to help develop accurate in silico approaches and functional testing for variants in other genes regulating TL. Supplementary information Supplemental Figures legends Supplemental Methods Supplemental Table 1 Supplemental Figure 1 Supplemental Figure 2

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          Most cited references14

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          The I-TASSER Suite: protein structure and function prediction.

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            The FoldX web server: an online force field

            FoldX is an empirical force field that was developed for the rapid evaluation of the effect of mutations on the stability, folding and dynamics of proteins and nucleic acids. The core functionality of FoldX, namely the calculation of the free energy of a macromolecule based on its high-resolution 3D structure, is now publicly available through a web server at . The current release allows the calculation of the stability of a protein, calculation of the positions of the protons and the prediction of water bridges, prediction of metal binding sites and the analysis of the free energy of complex formation. Alanine scanning, the systematic truncation of side chains to alanine, is also included. In addition, some reporting functions have been added, and it is now possible to print both the atomic interaction networks that constitute the protein, print the structural and energetic details of the interactions per atom or per residue, as well as generate a general quality report of the pdb structure. This core functionality will be further extended as more FoldX applications are developed.
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              Template-based protein structure modeling using the RaptorX web server.

              A key challenge of modern biology is to uncover the functional role of the protein entities that compose cellular proteomes. To this end, the availability of reliable three-dimensional atomic models of proteins is often crucial. This protocol presents a community-wide web-based method using RaptorX (http://raptorx.uchicago.edu/) for protein secondary structure prediction, template-based tertiary structure modeling, alignment quality assessment and sophisticated probabilistic alignment sampling. RaptorX distinguishes itself from other servers by the quality of the alignment between a target sequence and one or multiple distantly related template proteins (especially those with sparse sequence profiles) and by a novel nonlinear scoring function and a probabilistic-consistency algorithm. Consequently, RaptorX delivers high-quality structural models for many targets with only remote templates. At present, it takes RaptorX ~35 min to finish processing a sequence of 200 amino acids. Since its official release in August 2011, RaptorX has processed ~6,000 sequences submitted by ~1,600 users from around the world.
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                Author and article information

                Contributors
                hendr064@umn.edu
                patnaik.mrinal@mayo.edu
                Journal
                Blood Cancer J
                Blood Cancer J
                Blood Cancer Journal
                Nature Publishing Group UK (London )
                2044-5385
                17 November 2020
                17 November 2020
                November 2020
                : 10
                : 11
                : 120
                Affiliations
                [1 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Center for Individualized Medicine, , Mayo Clinic, ; Rochester, MN USA
                [2 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Department of Health Sciences Research, , Mayo Clinic, ; Rochester, MN USA
                [3 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Department of Hematology, , Mayo Clinic, ; Rochester, MN USA
                [4 ]GRID grid.17635.36, ISNI 0000000419368657, Department of Biochemistry, Molecular Biology and Biophysics, , University of Minnesota, ; Minneapolis, MN USA
                [5 ]GRID grid.30760.32, ISNI 0000 0001 2111 8460, Genomic Sciences and Precision Medicine Center, , Medical College of Wisconsin, ; Wauwatosa, USA
                [6 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Department of Oncology, , Mayo Clinic, ; Rochester, MN USA
                [7 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Department of Gastroenterology, , Mayo Clinic, ; Rochester, MN USA
                [8 ]GRID grid.66875.3a, ISNI 0000 0004 0459 167X, Pulmonary and Critical Care Medicine, , Mayo Clinic, ; Rochester, MN USA
                [9 ]GRID grid.10698.36, ISNI 0000000122483208, Present Address: Lineberger Comprehensive Cancer Center, , University of North Carolina at Chapel Hill, ; Chapel, Hill, NC USA
                Author information
                http://orcid.org/0000-0002-4883-3023
                http://orcid.org/0000-0001-7073-0525
                http://orcid.org/0000-0001-6734-6426
                http://orcid.org/0000-0001-6998-662X
                Article
                386
                10.1038/s41408-020-00386-z
                7673118
                33203829
                d0bbc3ea-b896-4d1d-98a6-931e0d8a84b1
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 6 August 2020
                : 8 September 2020
                : 29 October 2020
                Categories
                Correspondence
                Custom metadata
                © The Author(s) 2020

                Oncology & Radiotherapy
                translational research,haematological diseases,disease genetics,genetics research

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