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Hou S, Huang Q, Zhang H, Chen Q, Wu C, Wu M, Meng C, Yao K, Yu X, Roy VAL, Daoud W, Wang J, Li WJ. Biometric-Tuned E-Skin Sensor with Real Fingerprints Provides Insights on Tactile Perception: Rosa Parks Had Better Surface Vibrational Sensation than Richard Nixon. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2400234. [PMID: 38988056 DOI: 10.1002/advs.202400234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Revised: 05/07/2024] [Indexed: 07/12/2024]
Abstract
The dense mechanoreceptors in human fingertips enable texture discrimination. Recent advances in flexible electronics have created tactile sensors that effectively replicate slowly adapting (SA) and rapidly adapting (RA) mechanoreceptors. However, the influence of dermatoglyphic structures on tactile signal transmission, such as the effect of fingerprint ridge filtering on friction-induced vibration frequencies, remains unexplored. A novel multi-layer flexible sensor with an artificially synthesized skin surface capable of replicating arbitrary fingerprints is developed. This sensor simultaneously detects pressure (SA response) and vibration (RA response), enabling texture recognition. Fingerprint ridge patterns from notable historical figures - Rosa Parks, Richard Nixon, Martin Luther King Jr., and Ronald Reagan - are fabricated on the sensor surface. Vibration frequency responses to assorted fabric textures are measured and compared between fingerprint replicas. Results demonstrate that fingerprint topography substantially impacts skin-surface vibrational transmission. Specifically, Parks' fingerprint structure conveyed higher frequencies more clearly than those of Nixon, King, or Reagan. This work suggests individual fingerprint ridge morphological variation influences tactile perception and can confer adaptive advantages for fine texture discrimination. The flexible bioinspired sensor provides new insights into human vibrotactile processing by modeling fingerprint-filtered mechanical signals at the finger-object interface.
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Affiliation(s)
- Senlin Hou
- Department of Mechanical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Qingyun Huang
- Department of Industrial Engineering and Management, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
- State Key Laboratory of Mechanical Systems and Vibration, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Hongyu Zhang
- Department of Mechanical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Qingjiu Chen
- Department of Mechanical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Cong Wu
- Hong Kong Centre for Cerebro-cardiovascular Health Engineering (COCHE), Hong Kong, 999077, China
| | - Mengge Wu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Chen Meng
- Department of Mechanical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Kuanming Yao
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Xinge Yu
- State Key Laboratory of Mechanical Systems and Vibration, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Vellaisamy A L Roy
- School of Science and Technology, Hong Kong Metropolitan University, Hong Kong, 999077, China
| | - Walid Daoud
- Department of Mechanical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Jianping Wang
- Department of Computer Science, City University of Hong Kong, Hong Kong, 999077, China
| | - Wen Jung Li
- Department of Mechanical Engineering, City University of Hong Kong, Hong Kong, 999077, China
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2
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Mao W, Zhao Y, Pavlenko P, Chen Y, Shi X. Innovative Solutions for Worn Fingerprints: A Comparative Analysis of Traditional Fingerprint Impression and 3D Printing. SENSORS (BASEL, SWITZERLAND) 2024; 24:2627. [PMID: 38676245 PMCID: PMC11053824 DOI: 10.3390/s24082627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 04/09/2024] [Accepted: 04/13/2024] [Indexed: 04/28/2024]
Abstract
Fingerprint recognition systems have achieved widespread integration into various technological devices, including cell phones, computers, door locks, and time attendance machines. Nevertheless, individuals with worn fingerprints encounter challenges when attempting to unlock original fingerprint systems, which results in disruptions to their daily activities. This study explores two distinct methods for fingerprint backup: traditional fingerprint impression and 3D printing technologies. Unlocking tests were conducted on commonly available optical fingerprint lock-equipped cell phones to assess the efficacy of these methods, particularly in unlocking with worn fingerprints. The research findings indicated that the traditional fingerprint impression method exhibited high fidelity in reproducing fingerprint patterns, achieving an impressive unlocking success rate of 97.8% for imprinting unworn fingerprints. However, when dealing with worn fingerprints, the traditional fingerprint impression technique showed a reduced unlocking success rate, progressively decreasing with increasing degrees of finger wear. In contrast, 3D-printed backup fingerprints, with image processing and optimization of ridge height, mitigated the impact of fingerprint wear on the unlocking capability, resulting in an unlocking success rate of 84.4% or higher. Thus, the utilization of 3D printing technology proves advantageous for individuals with severely worn or incomplete fingerprints, providing a viable solution for unforeseen circumstances.
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Affiliation(s)
- Wenhui Mao
- School of Food and Pharmacy, Zhejiang Ocean University, No. 1 Haida South Road, Dinghai District, Zhoushan 316022, China; (W.M.); (Y.Z.)
| | - Yadong Zhao
- School of Food and Pharmacy, Zhejiang Ocean University, No. 1 Haida South Road, Dinghai District, Zhoushan 316022, China; (W.M.); (Y.Z.)
| | - Petro Pavlenko
- School of Marine Engineering Equipment, Zhejiang Ocean University, No. 1 Haida South Road, Dinghai District, Zhoushan 316022, China; (P.P.); (Y.C.)
| | - Yihan Chen
- School of Marine Engineering Equipment, Zhejiang Ocean University, No. 1 Haida South Road, Dinghai District, Zhoushan 316022, China; (P.P.); (Y.C.)
| | - Xuezhi Shi
- School of Marine Engineering Equipment, Zhejiang Ocean University, No. 1 Haida South Road, Dinghai District, Zhoushan 316022, China; (P.P.); (Y.C.)
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3
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Sudderick ZR, Glover JD. Periodic pattern formation during embryonic development. Biochem Soc Trans 2024; 52:75-88. [PMID: 38288903 PMCID: PMC10903485 DOI: 10.1042/bst20230197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Revised: 12/21/2023] [Accepted: 01/08/2024] [Indexed: 02/29/2024]
Abstract
During embryonic development many organs and structures require the formation of series of repeating elements known as periodic patterns. Ranging from the digits of the limb to the feathers of the avian skin, the correct formation of these embryonic patterns is essential for the future form and function of these tissues. However, the mechanisms that produce these patterns are not fully understood due to the existence of several modes of pattern generation which often differ between organs and species. Here, we review the current state of the field and provide a perspective on future approaches to studying this fundamental process of embryonic development.
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Affiliation(s)
- Zoe R. Sudderick
- The Roslin Institute & R(D)SVS, University of Edinburgh, Edinburgh, U.K
| | - James D. Glover
- The Roslin Institute & R(D)SVS, University of Edinburgh, Edinburgh, U.K
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4
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Kocere A, Chiavacci E, Soneson C, Wells HH, Méndez-Acevedo KM, MacGowan JS, Jacobson ST, Hiltabidle MS, Raghunath A, Shavit JA, Panáková D, Williams MLK, Robinson MD, Mosimann C, Burger A. Rbm8a deficiency causes hematopoietic defects by modulating Wnt/PCP signaling. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.04.12.536513. [PMID: 37090609 PMCID: PMC10120739 DOI: 10.1101/2023.04.12.536513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
Defects in blood development frequently occur among syndromic congenital anomalies. Thrombocytopenia-Absent Radius (TAR) syndrome is a rare congenital condition with reduced platelets (hypomegakaryocytic thrombocytopenia) and forelimb anomalies, concurrent with more variable heart and kidney defects. TAR syndrome associates with hypomorphic gene function for RBM8A/Y14 that encodes a component of the exon junction complex involved in mRNA splicing, transport, and nonsense-mediated decay. How perturbing a general mRNA-processing factor causes the selective TAR Syndrome phenotypes remains unknown. Here, we connect zebrafish rbm8a perturbation to early hematopoietic defects via attenuated non-canonical Wnt/Planar Cell Polarity (PCP) signaling that controls developmental cell re-arrangements. In hypomorphic rbm8a zebrafish, we observe a significant reduction of cd41-positive thrombocytes. rbm8a-mutant zebrafish embryos accumulate mRNAs with individual retained introns, a hallmark of defective nonsense-mediated decay; affected mRNAs include transcripts for non-canonical Wnt/PCP pathway components. We establish that rbm8a-mutant embryos show convergent extension defects and that reduced rbm8a function interacts with perturbations in non-canonical Wnt/PCP pathway genes wnt5b, wnt11f2, fzd7a, and vangl2. Using live-imaging, we found reduced rbm8a function impairs the architecture of the lateral plate mesoderm (LPM) that forms hematopoietic, cardiovascular, kidney, and forelimb skeleton progenitors as affected in TAR Syndrome. Both mutants for rbm8a and for the PCP gene vangl2 feature impaired expression of early hematopoietic/endothelial genes including runx1 and the megakaryocyte regulator gfi1aa. Together, our data propose aberrant LPM patterning and hematopoietic defects as consequence of attenuated non-canonical Wnt/PCP signaling upon reduced rbm8a function. These results also link TAR Syndrome to a potential LPM origin and a developmental mechanism.
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Affiliation(s)
- Agnese Kocere
- Department of Pediatrics, Section of Developmental Biology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Molecular Life Sciences, University of Zürich, Zürich, Switzerland
| | - Elena Chiavacci
- Department of Molecular Life Sciences, University of Zürich, Zürich, Switzerland
| | - Charlotte Soneson
- Department of Molecular Life Sciences, University of Zürich, Zürich, Switzerland
- SIB Swiss Institute of Bioinformatics, University of Zürich, Zürich, Switzerland
| | - Harrison H. Wells
- Department of Pediatrics, Section of Developmental Biology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | - Jacalyn S. MacGowan
- Center for Precision Environmental Health and Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
| | - Seth T. Jacobson
- Department of Pediatrics, Section of Developmental Biology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Max S. Hiltabidle
- Department of Pediatrics, Section of Developmental Biology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Azhwar Raghunath
- Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Jordan A. Shavit
- Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Daniela Panáková
- Max Delbrück Center (MDC) for Molecular Medicine in the Helmholtz Association, Berlin-Buch, Germany
- University Hospital Schleswig Holstein, Kiel, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Hamburg, Kiel, Lübeck, Germany
| | - Margot L. K. Williams
- Center for Precision Environmental Health and Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
| | - Mark D. Robinson
- Department of Molecular Life Sciences, University of Zürich, Zürich, Switzerland
- SIB Swiss Institute of Bioinformatics, University of Zürich, Zürich, Switzerland
| | - Christian Mosimann
- Department of Pediatrics, Section of Developmental Biology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Alexa Burger
- Department of Pediatrics, Section of Developmental Biology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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5
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Guo G, Ray A, Izydorczak M, Goldfeder J, Lipson H, Xu W. Unveiling intra-person fingerprint similarity via deep contrastive learning. SCIENCE ADVANCES 2024; 10:eadi0329. [PMID: 38215200 PMCID: PMC10786417 DOI: 10.1126/sciadv.adi0329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 12/15/2023] [Indexed: 01/14/2024]
Abstract
Fingerprint biometrics are integral to digital authentication and forensic science. However, they are based on the unproven assumption that no two fingerprints, even from different fingers of the same person, are alike. This renders them useless in scenarios where the presented fingerprints are from different fingers than those on record. Contrary to this prevailing assumption, we show above 99.99% confidence that fingerprints from different fingers of the same person share very strong similarities. Using deep twin neural networks to extract fingerprint representation vectors, we find that these similarities hold across all pairs of fingers within the same person, even when controlling for spurious factors like sensor modality. We also find evidence that ridge orientation, especially near the fingerprint center, explains a substantial part of this similarity, whereas minutiae used in traditional methods are almost nonpredictive. Our experiments suggest that, in some situations, this relationship can increase forensic investigation efficiency by almost two orders of magnitude.
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Affiliation(s)
- Gabe Guo
- Department of Computer Science, Columbia University, New York, NY 10027, USA
| | - Aniv Ray
- Department of Computer Science, Columbia University, New York, NY 10027, USA
| | - Miles Izydorczak
- Department of Computer Science, Tufts University, Medford, MA 02155, USA
| | - Judah Goldfeder
- Department of Computer Science, Columbia University, New York, NY 10027, USA
| | - Hod Lipson
- Department of Mechanical Engineering, Columbia University, New York, NY 10027, USA
| | - Wenyao Xu
- Department of Computer Science and Engineering, SUNY Buffalo, Buffalo, NY 14260, USA
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6
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Nagai K, Niihori T, Muto A, Hayashi Y, Abe T, Igarashi K, Aoki Y. Mecom mutation related to radioulnar synostosis with amegakaryocytic thrombocytopenia reduces HSPCs in mice. Blood Adv 2023; 7:5409-5420. [PMID: 37099686 PMCID: PMC10509669 DOI: 10.1182/bloodadvances.2022008462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 04/20/2023] [Accepted: 04/23/2023] [Indexed: 04/28/2023] Open
Abstract
Radioulnar synostosis with amegakaryocytic thrombocytopenia (RUSAT) is an inherited bone marrow failure syndrome characterized by the congenital fusion of the forearm bones. RUSAT is largely caused by missense mutations that are clustered in a specific region of the MDS1 and EVI1 complex locus (MECOM). EVI1, a transcript variant encoded by MECOM, is a zinc finger transcription factor involved in hematopoietic stem cell maintenance that induce leukemic transformation when overexpressed. Mice with exonic deletions in Mecom show reduced hematopoietic stem and progenitor cells (HSPCs). However, the pathogenic roles of RUSAT-associated MECOM mutations in vivo have not yet been elucidated. To investigate the impact of the RUSAT-associated MECOM mutation on the phenotype, we generated knockin mice harboring a point mutation (translated into EVI1 p.H752R and MDS1-EVI1 p.H942R), which corresponds to an EVI1 p.H751R and MDS1-EVI1 p.H939R mutation identified in a patient with RUSAT. Homozygous mutant mice died at embryonic day 10.5 to 11.5. Heterozygous mutant mice (Evi1KI/+ mice) grew normally without radioulnar synostosis. Male Evi1KI/+ mice, aged between 5 and 15 weeks, exhibited lower body weight, and those aged ≥16 weeks showed low platelet counts. Flow cytometric analysis of bone marrow cells revealed a decrease in HSPCs in Evi1KI/+ mice between 8 and 12 weeks. Moreover, Evi1KI/+ mice showed delayed leukocyte and platelet recovery after 5-fluorouracil-induced myelosuppression. These findings suggest that Evi1KI/+ mice recapitulate the bone marrow dysfunction in RUSAT, similar to that caused by loss-of-function Mecom alleles.
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Affiliation(s)
- Koki Nagai
- Department of Medical Genetics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Tetsuya Niihori
- Department of Medical Genetics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Akihiko Muto
- Department of Biochemistry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yoshikazu Hayashi
- Division of Functional Structure, Department of Morphological Biology, Fukuoka Dental College, Fukuoka, Japan
| | - Taiki Abe
- Department of Medical Genetics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Kazuhiko Igarashi
- Department of Biochemistry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yoko Aoki
- Department of Medical Genetics, Tohoku University Graduate School of Medicine, Sendai, Japan
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7
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Walters RG, Millwood IY, Lin K, Schmidt Valle D, McDonnell P, Hacker A, Avery D, Edris A, Fry H, Cai N, Kretzschmar WW, Ansari MA, Lyons PA, Collins R, Donnelly P, Hill M, Peto R, Shen H, Jin X, Nie C, Xu X, Guo Y, Yu C, Lv J, Clarke RJ, Li L, Chen Z. Genotyping and population characteristics of the China Kadoorie Biobank. CELL GENOMICS 2023; 3:100361. [PMID: 37601966 PMCID: PMC10435379 DOI: 10.1016/j.xgen.2023.100361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 02/09/2023] [Accepted: 06/24/2023] [Indexed: 08/22/2023]
Abstract
The China Kadoorie Biobank (CKB) is a population-based prospective cohort of >512,000 adults recruited from 2004 to 2008 from 10 geographically diverse regions across China. Detailed data from questionnaires and physical measurements were collected at baseline, with additional measurements at three resurveys involving ∼5% of surviving participants. Analyses of genome-wide genotyping, for >100,000 participants using custom-designed Axiom arrays, reveal extensive relatedness, recent consanguinity, and signatures reflecting large-scale population movements from recent Chinese history. Systematic genome-wide association studies of incident disease, captured through electronic linkage to death and disease registries and to the national health insurance system, replicate established disease loci and identify 14 novel disease associations. Together with studies of candidate drug targets and disease risk factors and contributions to international genetics consortia, these demonstrate the breadth, depth, and quality of the CKB data. Ongoing high-throughput omics assays of collected biosamples and planned whole-genome sequencing will further enhance the scientific value of this biobank.
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Affiliation(s)
- Robin G. Walters
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
- MRC Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
| | - Iona Y. Millwood
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
- MRC Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
| | - Kuang Lin
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Dan Schmidt Valle
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Pandora McDonnell
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Alex Hacker
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Daniel Avery
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Ahmed Edris
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Hannah Fry
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Na Cai
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | | | - M. Azim Ansari
- Nuffield Department of Medicine, Oxford University, Oxford OX1 3SY, UK
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK
| | - Paul A. Lyons
- Cambridge Institute for Therapeutic Immunology and Infectious Disease, University of Cambridge, Cambridge CB2 0AW, UK
- Department of Medicine, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Rory Collins
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Peter Donnelly
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Michael Hill
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
- MRC Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
| | - Richard Peto
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Hongbing Shen
- Department of Epidemiology, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing 211116, China
| | - Xin Jin
- BGI-Shenzhen, Shenzhen 518083, China
| | - Chao Nie
- BGI-Shenzhen, Shenzhen 518083, China
| | - Xun Xu
- BGI-Shenzhen, Shenzhen 518083, China
| | - Yu Guo
- Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing 100191, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing 100191, China
| | - Robert J. Clarke
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing 100191, China
| | - Zhengming Chen
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
- MRC Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
| | - China Kadoorie Biobank Collaborative Group
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
- MRC Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
- Nuffield Department of Medicine, Oxford University, Oxford OX1 3SY, UK
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK
- Cambridge Institute for Therapeutic Immunology and Infectious Disease, University of Cambridge, Cambridge CB2 0AW, UK
- Department of Medicine, University of Cambridge, Cambridge CB2 0QQ, UK
- Department of Epidemiology, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing 211116, China
- BGI-Shenzhen, Shenzhen 518083, China
- Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing 100037, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing 100191, China
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8
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Qu F, Li W, Xu J, Zhang R, Ke J, Ren X, Meng X, Qin L, Zhang J, Lu F, Zhou X, Luo X, Zhang Z, Wang M, Wu G, Pei D, Chen J, Cui G, Suo S, Peng G. Three-dimensional molecular architecture of mouse organogenesis. Nat Commun 2023; 14:4599. [PMID: 37524711 PMCID: PMC10390492 DOI: 10.1038/s41467-023-40155-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 07/16/2023] [Indexed: 08/02/2023] Open
Abstract
Mammalian embryos exhibit sophisticated cellular patterning that is intricately orchestrated at both molecular and cellular level. It has recently become apparent that cells within the animal body display significant heterogeneity, both in terms of their cellular properties and spatial distributions. However, current spatial transcriptomic profiling either lacks three-dimensional representation or is limited in its ability to capture the complexity of embryonic tissues and organs. Here, we present a spatial transcriptomic atlas of all major organs at embryonic day 13.5 in the mouse embryo, and provide a three-dimensional rendering of molecular regulation for embryonic patterning with stacked sections. By integrating the spatial atlas with corresponding single-cell transcriptomic data, we offer a detailed molecular annotation of the dynamic nature of organ development, spatial cellular interactions, embryonic axes, and divergence of cell fates that underlie mammalian development, which would pave the way for precise organ engineering and stem cell-based regenerative medicine.
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Affiliation(s)
- Fangfang Qu
- Center for Cell Lineage and Atlas, Bioland Laboratory, Guangzhou, China
- GMU-GIBH Joint School of Life Sciences, The Guangdong-Hong Kong-Macau Joint Laboratory for Cell Fate Regulation and Diseases, Guangzhou Medical University, 510005, Guangzhou, Guangdong, China
- Guangzhou Laboratory, 510005, Guangzhou, Guangdong, China
| | - Wenjia Li
- Center for Cell Lineage and Atlas, Bioland Laboratory, Guangzhou, China
- Guangzhou Laboratory, 510005, Guangzhou, Guangdong, China
- The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, 510005, Guangzhou, Guangdong, China
| | - Jian Xu
- Center for Cell Lineage and Atlas, Bioland Laboratory, Guangzhou, China
| | - Ruifang Zhang
- Center for Cell Lineage and Atlas, Bioland Laboratory, Guangzhou, China
| | - Jincan Ke
- Center for Cell Lineage and Development, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-HKU Guangdong-Hong Kong Stem Cell and Regenerative Medicine Research Centre, Guangzhou Institutes of Biomedicine and Health, University of the Chinese Academy of Sciences, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Xiaodie Ren
- Center for Cell Lineage and Atlas, Bioland Laboratory, Guangzhou, China
| | - Xiaogao Meng
- Center for Cell Lineage and Development, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-HKU Guangdong-Hong Kong Stem Cell and Regenerative Medicine Research Centre, Guangzhou Institutes of Biomedicine and Health, University of the Chinese Academy of Sciences, Chinese Academy of Sciences, 510530, Guangzhou, China
- Life Science and Medicine, University of Science and Technology of China, 230026, Hefei, Anhui, China
| | - Lexin Qin
- Center for Cell Lineage and Development, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-HKU Guangdong-Hong Kong Stem Cell and Regenerative Medicine Research Centre, Guangzhou Institutes of Biomedicine and Health, University of the Chinese Academy of Sciences, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Jingna Zhang
- Center for Cell Lineage and Atlas, Bioland Laboratory, Guangzhou, China
| | - Fangru Lu
- Center for Cell Lineage and Atlas, Bioland Laboratory, Guangzhou, China
| | - Xin Zhou
- Center for Cell Lineage and Atlas, Bioland Laboratory, Guangzhou, China
| | - Xi Luo
- Center for Cell Lineage and Development, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-HKU Guangdong-Hong Kong Stem Cell and Regenerative Medicine Research Centre, Guangzhou Institutes of Biomedicine and Health, University of the Chinese Academy of Sciences, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Zhen Zhang
- Center for Cell Lineage and Development, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-HKU Guangdong-Hong Kong Stem Cell and Regenerative Medicine Research Centre, Guangzhou Institutes of Biomedicine and Health, University of the Chinese Academy of Sciences, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Minhan Wang
- Center for Cell Lineage and Development, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-HKU Guangdong-Hong Kong Stem Cell and Regenerative Medicine Research Centre, Guangzhou Institutes of Biomedicine and Health, University of the Chinese Academy of Sciences, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Guangming Wu
- Center for Cell Lineage and Atlas, Bioland Laboratory, Guangzhou, China
- Guangzhou Laboratory, 510005, Guangzhou, Guangdong, China
- School of Basic Medical Sciences, Guangzhou Medical University, 510005, Guangzhou, Guangdong, China
| | - Duanqing Pei
- Laboratory of Cell Fate Control, School of Life Sciences, Westlake University, Hangzhou, China
| | - Jiekai Chen
- Center for Cell Lineage and Atlas, Bioland Laboratory, Guangzhou, China
- Center for Cell Lineage and Development, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-HKU Guangdong-Hong Kong Stem Cell and Regenerative Medicine Research Centre, Guangzhou Institutes of Biomedicine and Health, University of the Chinese Academy of Sciences, Chinese Academy of Sciences, 510530, Guangzhou, China
| | - Guizhong Cui
- Center for Cell Lineage and Atlas, Bioland Laboratory, Guangzhou, China.
- Guangzhou Laboratory, 510005, Guangzhou, Guangdong, China.
- School of Basic Medical Sciences, Guangzhou Medical University, 510005, Guangzhou, Guangdong, China.
| | - Shengbao Suo
- Guangzhou Laboratory, 510005, Guangzhou, Guangdong, China.
- The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, 510005, Guangzhou, Guangdong, China.
| | - Guangdun Peng
- Center for Cell Lineage and Atlas, Bioland Laboratory, Guangzhou, China.
- Center for Cell Lineage and Development, CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, GIBH-HKU Guangdong-Hong Kong Stem Cell and Regenerative Medicine Research Centre, Guangzhou Institutes of Biomedicine and Health, University of the Chinese Academy of Sciences, Chinese Academy of Sciences, 510530, Guangzhou, China.
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9
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Voit RA, Sankaran VG. MECOM Deficiency: from Bone Marrow Failure to Impaired B-Cell Development. J Clin Immunol 2023:10.1007/s10875-023-01545-0. [PMID: 37407873 DOI: 10.1007/s10875-023-01545-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 06/26/2023] [Indexed: 07/07/2023]
Abstract
MECOM deficiency is a recently identified inborn error of immunity and inherited bone marrow failure syndrome caused by haploinsufficiency of the hematopoietic transcription factor MECOM. It is unique among inherited bone marrow failure syndromes, many of which present during later childhood or adolescence, because of the early age of onset and severity of the pancytopenia, emphasizing the importance and gene dose dependency of MECOM during hematopoiesis. B-cell lymphopenia and hypogammaglobulinemia have been described in a subset of patients with MECOM deficiency. While the mechanisms underlying the B-cell deficiency are currently unknown, recent work has provided mechanistic insights into the function of MECOM in hematopoietic stem cell (HSC) maintenance. MECOM binds to regulatory enhancers that control the expression of a network of genes essential for HSC maintenance and self-renewal. Heterozygous mutations, as seen in MECOM-deficient bone marrow failure, lead to dysregulated MECOM network expression. Extra-hematopoietic manifestations of MECOM deficiency, including renal and cardiac anomalies, radioulnar synostosis, clinodactyly, and hearing loss, have been reported. Individuals with specific genotypes have some of the systemic manifestations with isolated mild thrombocytopenia or without hematologic abnormalities, highlighting the tissue specificity of mutations in some MECOM domains. Those infants with MECOM-associated bone marrow failure require HSC transplantation for survival. Here, we review the expanding cohort of patient phenotypes and accompanying genotypes resulting in MECOM deficiency, and the proposed mechanisms underlying MECOM regulation of human HSC maintenance and B-cell development.
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Affiliation(s)
- Richard A Voit
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Vijay G Sankaran
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
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10
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Yu Y, Niu Q, Li X, Xue J, Liu W, Lin D. A Review of Fingerprint Sensors: Mechanism, Characteristics, and Applications. MICROMACHINES 2023; 14:1253. [PMID: 37374839 DOI: 10.3390/mi14061253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 06/07/2023] [Accepted: 06/09/2023] [Indexed: 06/29/2023]
Abstract
Identification technology based on biometrics is a branch of research that employs the unique individual traits of humans to authenticate identity, which is the most secure method of identification based on its exceptional high dependability and stability of human biometrics. Common biometric identifiers include fingerprints, irises, and facial sounds, among others. In the realm of biometric recognition, fingerprint recognition has gained success with its convenient operation and fast identif ication speed. Different fingerprint collecting techniques, which supply fingerprint information for fingerprint identification systems, have attracted a significant deal of interest in authentication technology regarding fingerprint identification systems. This work presents several fingerprint acquisition techniques, such as optical capacitive and ultrasonic, and analyzes acquisition types and structures. In addition, the pros and drawbacks of various sensor types, as well as the limits and benefits of optical, capacitive, and ultrasonic kinds, are discussed. It is the necessary stage for the application of the Internet of Things (IoT).
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Affiliation(s)
- Yirong Yu
- School of Optoelectronic Engineering, Xi'an Technological University, Xi'an 710032, China
| | - Qiming Niu
- School of Optoelectronic Engineering, Xi'an Technological University, Xi'an 710032, China
| | - Xuyang Li
- School of Optoelectronic Engineering, Xi'an Technological University, Xi'an 710032, China
| | - Jianshe Xue
- BOE Display Technology Co., Ltd., Beijing 100176, China
| | - Weiguo Liu
- School of Optoelectronic Engineering, Xi'an Technological University, Xi'an 710032, China
| | - Dabin Lin
- School of Optoelectronic Engineering, Xi'an Technological University, Xi'an 710032, China
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11
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Ying W. Phenomic Studies on Diseases: Potential and Challenges. PHENOMICS (CHAM, SWITZERLAND) 2023; 3:285-299. [PMID: 36714223 PMCID: PMC9867904 DOI: 10.1007/s43657-022-00089-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 11/21/2022] [Accepted: 11/24/2022] [Indexed: 01/23/2023]
Abstract
The rapid development of such research field as multi-omics and artificial intelligence (AI) has made it possible to acquire and analyze the multi-dimensional big data of human phenomes. Increasing evidence has indicated that phenomics can provide a revolutionary strategy and approach for discovering new risk factors, diagnostic biomarkers and precision therapies of diseases, which holds profound advantages over conventional approaches for realizing precision medicine: first, the big data of patients' phenomes can provide remarkably richer information than that of the genomes; second, phenomic studies on diseases may expose the correlations among cross-scale and multi-dimensional phenomic parameters as well as the mechanisms underlying the correlations; and third, phenomics-based studies are big data-driven studies, which can significantly enhance the possibility and efficiency for generating novel discoveries. However, phenomic studies on human diseases are still in early developmental stage, which are facing multiple major challenges and tasks: first, there is significant deficiency in analytical and modeling approaches for analyzing the multi-dimensional data of human phenomes; second, it is crucial to establish universal standards for acquirement and management of phenomic data of patients; third, new methods and devices for acquirement of phenomic data of patients under clinical settings should be developed; fourth, it is of significance to establish the regulatory and ethical guidelines for phenomic studies on diseases; and fifth, it is important to develop effective international cooperation. It is expected that phenomic studies on diseases would profoundly and comprehensively enhance our capacity in prevention, diagnosis and treatment of diseases.
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Affiliation(s)
- Weihai Ying
- Med-X Research Institute and School of Biomedical Engineering, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai, 200030 China
- Collaborative Innovation Center for Genetics and Development, Shanghai, 200043 China
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12
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Kocere A, Lalonde RL, Mosimann C, Burger A. Lateral thinking in syndromic congenital cardiovascular disease. Dis Model Mech 2023; 16:dmm049735. [PMID: 37125615 PMCID: PMC10184679 DOI: 10.1242/dmm.049735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2023] Open
Abstract
Syndromic birth defects are rare diseases that can present with seemingly pleiotropic comorbidities. Prime examples are rare congenital heart and cardiovascular anomalies that can be accompanied by forelimb defects, kidney disorders and more. Whether such multi-organ defects share a developmental link remains a key question with relevance to the diagnosis, therapeutic intervention and long-term care of affected patients. The heart, endothelial and blood lineages develop together from the lateral plate mesoderm (LPM), which also harbors the progenitor cells for limb connective tissue, kidneys, mesothelia and smooth muscle. This developmental plasticity of the LPM, which founds on multi-lineage progenitor cells and shared transcription factor expression across different descendant lineages, has the potential to explain the seemingly disparate syndromic defects in rare congenital diseases. Combining patient genome-sequencing data with model organism studies has already provided a wealth of insights into complex LPM-associated birth defects, such as heart-hand syndromes. Here, we summarize developmental and known disease-causing mechanisms in early LPM patterning, address how defects in these processes drive multi-organ comorbidities, and outline how several cardiovascular and hematopoietic birth defects with complex comorbidities may be LPM-associated diseases. We also discuss strategies to integrate patient sequencing, data-aggregating resources and model organism studies to mechanistically decode congenital defects, including potentially LPM-associated orphan diseases. Eventually, linking complex congenital phenotypes to a common LPM origin provides a framework to discover developmental mechanisms and to anticipate comorbidities in congenital diseases affecting the cardiovascular system and beyond.
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Affiliation(s)
- Agnese Kocere
- University of Colorado School of Medicine, Anschutz Medical Campus, Department of Pediatrics, Section of Developmental Biology, Aurora, CO 80045, USA
- Department of Molecular Life Science, University of Zurich, 8057 Zurich, Switzerland
| | - Robert L. Lalonde
- University of Colorado School of Medicine, Anschutz Medical Campus, Department of Pediatrics, Section of Developmental Biology, Aurora, CO 80045, USA
| | - Christian Mosimann
- University of Colorado School of Medicine, Anschutz Medical Campus, Department of Pediatrics, Section of Developmental Biology, Aurora, CO 80045, USA
| | - Alexa Burger
- University of Colorado School of Medicine, Anschutz Medical Campus, Department of Pediatrics, Section of Developmental Biology, Aurora, CO 80045, USA
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13
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Segal NL. Role of Twins in Waardenburg Syndrome: 1916 - present/Twin Research Reviews: MZ Twins' Different Dermatoglyphics; Twins with Sagittal Suture Crainosynostosis; Blood Pressure in Female Twins; MZ Twins' Education and Political Knowledge/Media Reports: Twins Created by Reciprocal In Vitro Fertilization; Reared-Apart Triplets' Limited TV Series; Abducted Twin Infants; Winkelvoss Twins Charged by the Securities and Exchange Commission; Going From 'Me' to 'We'. Twin Res Hum Genet 2023; 26:195-198. [PMID: 37170787 DOI: 10.1017/thg.2023.13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Waardenburg's syndrome involves deafness accompanied by various visual difficulties. The role of twins in identifying this disorder and advancing understanding of its origins and symptoms is described, beginning in 1916 and continuing to the present. This overview is followed by current research on monozygotic (MZ) twins' different dermatoglyphic features, twins with sagittal suture crainosynostosis, blood pressure in female twins, and MZ twins' education and political knowledge. The final section presents media reports describing controversies surrounding twins created by reciprocal in vitro fertilization, reared-apart triplets' limited TV series, abducted twin infants, the Winkelvoss twins' charges by the Securities and Exchange Commission, and going from 'Me' to 'We'.
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Affiliation(s)
- Nancy L Segal
- Department of Psychology, California State University, Fullerton, CA, USA
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14
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Glover JD, Sudderick ZR, Shih BBJ, Batho-Samblas C, Charlton L, Krause AL, Anderson C, Riddell J, Balic A, Li J, Klika V, Woolley TE, Gaffney EA, Corsinotti A, Anderson RA, Johnston LJ, Brown SJ, Wang S, Chen Y, Crichton ML, Headon DJ. The developmental basis of fingerprint pattern formation and variation. Cell 2023; 186:940-956.e20. [PMID: 36764291 DOI: 10.1016/j.cell.2023.01.015] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 11/04/2022] [Accepted: 01/10/2023] [Indexed: 02/11/2023]
Abstract
Fingerprints are complex and individually unique patterns in the skin. Established prenatally, the molecular and cellular mechanisms that guide fingerprint ridge formation and their intricate arrangements are unknown. Here we show that fingerprint ridges are epithelial structures that undergo a truncated hair follicle developmental program and fail to recruit a mesenchymal condensate. Their spatial pattern is established by a Turing reaction-diffusion system, based on signaling between EDAR, WNT, and antagonistic BMP pathways. These signals resolve epithelial growth into bands of focalized proliferation under a precociously differentiated suprabasal layer. Ridge formation occurs as a set of waves spreading from variable initiation sites defined by the local signaling environments and anatomical intricacies of the digit, with the propagation and meeting of these waves determining the type of pattern that forms. Relying on a dynamic patterning system triggered at spatially distinct sites generates the characteristic types and unending variation of human fingerprint patterns.
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Affiliation(s)
- James D Glover
- The Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh EH25 9RG, UK
| | - Zoe R Sudderick
- The Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh EH25 9RG, UK
| | - Barbara Bo-Ju Shih
- The Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh EH25 9RG, UK
| | | | - Laura Charlton
- Institute of Mechanical, Process and Energy Engineering, Heriot-Watt University, Edinburgh EH14 4AS, UK
| | - Andrew L Krause
- Department of Mathematical Sciences, Durham University, Durham DH1 3LE, UK
| | - Calum Anderson
- Institute of Mechanical, Process and Energy Engineering, Heriot-Watt University, Edinburgh EH14 4AS, UK
| | - Jon Riddell
- The Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh EH25 9RG, UK
| | - Adam Balic
- The Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh EH25 9RG, UK
| | - Jinxi Li
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai 200433, PRC
| | - Václav Klika
- Department of Mathematics, FNSPE, Czech Technical University in Prague, Prague 16000, Czechia
| | | | - Eamonn A Gaffney
- Mathematical Institute, University of Oxford, Oxford OX2 6GG, UK
| | - Andrea Corsinotti
- Centre for Regenerative Medicine, Institute for Regeneration and Repair, University of Edinburgh, Edinburgh EH16 4UU, UK
| | - Richard A Anderson
- MRC Centre for Reproductive Health, Queens Medical Research Institute, University of Edinburgh, Edinburgh EH16 4TJ, UK
| | - Luke J Johnston
- Centre for Genomic & Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Sara J Brown
- Centre for Genomic & Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Sijia Wang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, PRC
| | - Yuhang Chen
- Institute of Mechanical, Process and Energy Engineering, Heriot-Watt University, Edinburgh EH14 4AS, UK
| | - Michael L Crichton
- Institute of Mechanical, Process and Energy Engineering, Heriot-Watt University, Edinburgh EH14 4AS, UK
| | - Denis J Headon
- The Roslin Institute and R(D)SVS, University of Edinburgh, Edinburgh EH25 9RG, UK.
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15
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Yan Y, Tian J, Wang Y, Li Y, Zhang C, Zhang S, Lin P, Peng R, Zhao C, Zhuang L, Lai B, Zhou L, Zhang G, Li H. Transcriptomic Heterogeneity of Skin Across Different Anatomic Sites. J Invest Dermatol 2023; 143:398-407.e5. [PMID: 36122800 DOI: 10.1016/j.jid.2022.08.053] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 08/05/2022] [Accepted: 08/26/2022] [Indexed: 02/05/2023]
Abstract
Multiomic studies, including RNA sequencing, single-cell RNA sequencing, and epigenomics, can provide insight into the connection between anatomically heterogeneous gene expression profile of the skin and dermatoses-predisposed sites, in which RNA sequencing is essential. Therefore, in this study, 159 skin samples collected mainly from discarded normal skin tissue during surgical treatment for benign skin tumors were used for RNA sequencing. On the basis of cluster analysis, the skin was divided into four regions, with each region showing specific physiological characteristics through differentially expressed gene analysis. The results showed that the head and neck region, perineum, and palmoplantar area were closely associated with lipid metabolism, hormone metabolism, blood circulation, and related neural regulation, respectively. Transcription factor enrichment indicated that different regions were associated with the development of adjacent tissues. Specifically, the head and neck region, trunk and extremities, perineum, and palmoplantar area were associated with the central nervous, axial, urogenital, and vascular systems, respectively. The results were imported into an open website (https://dermvis.github.io/) for retrieval. Our transcriptomic data elucidated that human skin exhibits transcriptomic heterogeneity reflecting physiological and developmental variation at different anatomic sites and provided guidance for further studies on skin development and dermatoses predisposed sites.
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Affiliation(s)
- Yicen Yan
- Department of Dermatology and Venereology, Peking University First Hospital, Beijing, China; National Clinical Research Center for Skin and Immune Diseases, Beijing, China; Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, Beijing, China; NMPA Key Laboratory for Quality Control and Evaluation of Cosmetics, Beijing, China
| | - Jie Tian
- Department of Dermatology and Venereology, Peking University First Hospital, Beijing, China; Institute of Medical Technology, Peking University Health Science Center, Beijing, China
| | - Yang Wang
- Department of Dermatology and Venereology, Peking University First Hospital, Beijing, China; National Clinical Research Center for Skin and Immune Diseases, Beijing, China; Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, Beijing, China; NMPA Key Laboratory for Quality Control and Evaluation of Cosmetics, Beijing, China
| | - Yurong Li
- Department of Dermatology and Venereology, Peking University First Hospital, Beijing, China; National Clinical Research Center for Skin and Immune Diseases, Beijing, China; Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, Beijing, China; NMPA Key Laboratory for Quality Control and Evaluation of Cosmetics, Beijing, China
| | - Chong Zhang
- Department of Dermatology and Venereology, Peking University First Hospital, Beijing, China; National Clinical Research Center for Skin and Immune Diseases, Beijing, China; Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, Beijing, China; NMPA Key Laboratory for Quality Control and Evaluation of Cosmetics, Beijing, China
| | - Shenxi Zhang
- Department of Dermatology and Venereology, Peking University First Hospital, Beijing, China; National Clinical Research Center for Skin and Immune Diseases, Beijing, China; Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, Beijing, China; NMPA Key Laboratory for Quality Control and Evaluation of Cosmetics, Beijing, China
| | - Pingping Lin
- Department of Dermatology and Venereology, Peking University First Hospital, Beijing, China; National Clinical Research Center for Skin and Immune Diseases, Beijing, China; Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, Beijing, China; NMPA Key Laboratory for Quality Control and Evaluation of Cosmetics, Beijing, China
| | - Rui Peng
- Department of Dermatology and Venereology, Peking University First Hospital, Beijing, China; National Clinical Research Center for Skin and Immune Diseases, Beijing, China; Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, Beijing, China; NMPA Key Laboratory for Quality Control and Evaluation of Cosmetics, Beijing, China
| | - Chunxia Zhao
- Department of Dermatology and Venereology, Peking University First Hospital, Beijing, China; National Clinical Research Center for Skin and Immune Diseases, Beijing, China; Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, Beijing, China; NMPA Key Laboratory for Quality Control and Evaluation of Cosmetics, Beijing, China
| | - Le Zhuang
- Department of Dermatology and Venereology, Peking University First Hospital, Beijing, China; Department of Dermatology, Qilu Hospital of Shandong University, Jinan, China
| | - Binbin Lai
- Department of Dermatology and Venereology, Peking University First Hospital, Beijing, China; Institute of Medical Technology, Peking University Health Science Center, Beijing, China; Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, China
| | - Liang Zhou
- National Institute of Health Data Science, Peking University, Beijing, China
| | - Guohong Zhang
- Department of Dermatology and Venereology, Peking University First Hospital, Beijing, China; Pathology Department, Shantou University Medical College, Guangdong, China
| | - Hang Li
- Department of Dermatology and Venereology, Peking University First Hospital, Beijing, China; National Clinical Research Center for Skin and Immune Diseases, Beijing, China; Beijing Key Laboratory of Molecular Diagnosis on Dermatoses, Beijing, China; NMPA Key Laboratory for Quality Control and Evaluation of Cosmetics, Beijing, China.
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16
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Ledford H. How fingerprints get their one-of-a-kind swirls. Nature 2023:10.1038/d41586-023-00357-x. [PMID: 36759737 DOI: 10.1038/d41586-023-00357-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
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17
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Weinberg SM. Objective assessment of tapering of the fingers in adults. PLoS One 2022; 17:e0279202. [PMID: 36576913 PMCID: PMC9797067 DOI: 10.1371/journal.pone.0279202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 12/01/2022] [Indexed: 12/29/2022] Open
Abstract
Mild proximal-to-distal tapering of the fingers is a relatively common trait in humans. When more extreme, finger tapering is a feature observed in many genetic syndromes. The range of variation for finger tapering in the general population is not well understood, and sex differences in the degree of tapering, while suspected, have not been documented. Part of the difficulty is a lack of objective methods to evaluate finger tapering. In the present report, we developed a tapering index based on linear measures derived from digital hand scans. We measured this index in a sample of 166 male and 166 age-matched female adults. We then looked at correlations both among fingers and with demographic and anthropometric variables, followed by tests for sex differences. We observed weak correlations between tapering and age, height and weight. Correlations between pairs of fingers tended to be more in the moderate range and were highest among the middle three fingers (ranging from 0.34 to 0.64). Tapering tended to increase slightly moving radially across the hand from the fifth finger to the second finger. Males showed less tapering than females for all fingers, with statistically significant differences involving the left second finger (p = 0.003), left fifth finger (p< 0.001), right second finger (p = 0.038), and right fourth finger (p = 0.021). Finally, we established baseline norms for both males and females out to three standard deviations. Our results indicate that finger tapering is present, to some degree, in most of the population and that the trait can be measured using a relatively simple and non-invasive method. These findings may have relevance for fields as diverse as medical genetics, forensics, and industrial design.
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Affiliation(s)
- Seth M. Weinberg
- Center for Craniofacial and Dental Genetics, Department of Oral and Craniofacial Sciences, University of Pittsburgh, Pittsburgh, PA, United States of America
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, United States of America
- Department of Anthropology, University of Pittsburgh, Pittsburgh, PA, United States of America
- * E-mail:
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18
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Lazareva TE, Barbitoff YA, Changalidis AI, Tkachenko AA, Maksiutenko EM, Nasykhova YA, Glotov AS. Biobanking as a Tool for Genomic Research: From Allele Frequencies to Cross-Ancestry Association Studies. J Pers Med 2022; 12:jpm12122040. [PMID: 36556260 PMCID: PMC9783756 DOI: 10.3390/jpm12122040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/19/2022] [Accepted: 11/28/2022] [Indexed: 12/14/2022] Open
Abstract
In recent years, great advances have been made in the field of collection, storage, and analysis of biological samples. Large collections of samples, biobanks, have been established in many countries. Biobanks typically collect large amounts of biological samples and associated clinical information; the largest collections include over a million samples. In this review, we summarize the main directions in which biobanks aid medical genetics and genomic research, from providing reference allele frequency information to allowing large-scale cross-ancestry meta-analyses. The largest biobanks greatly vary in the size of the collection, and the amount of available phenotype and genotype data. Nevertheless, all of them are extensively used in genomics, providing a rich resource for genome-wide association analysis, genetic epidemiology, and statistical research into the structure, function, and evolution of the human genome. Recently, multiple research efforts were based on trans-biobank data integration, which increases sample size and allows for the identification of robust genetic associations. We provide prominent examples of such data integration and discuss important caveats which have to be taken into account in trans-biobank research.
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Affiliation(s)
- Tatyana E. Lazareva
- Departemnt of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology, and Reproductology, 199034 St. Petersburg, Russia
- Department of Genetics and Biotechnology, St. Petersburg State University, 199034 St. Petersburg, Russia
| | - Yury A. Barbitoff
- Departemnt of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology, and Reproductology, 199034 St. Petersburg, Russia
- Department of Genetics and Biotechnology, St. Petersburg State University, 199034 St. Petersburg, Russia
- Correspondence: (Y.A.B.); (A.S.G.)
| | - Anton I. Changalidis
- Departemnt of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology, and Reproductology, 199034 St. Petersburg, Russia
- Faculty of Software Engineering and Computer Systems, ITMO University, 197101 St. Petersburg, Russia
| | - Alexander A. Tkachenko
- Departemnt of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology, and Reproductology, 199034 St. Petersburg, Russia
| | - Evgeniia M. Maksiutenko
- Departemnt of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology, and Reproductology, 199034 St. Petersburg, Russia
| | - Yulia A. Nasykhova
- Departemnt of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology, and Reproductology, 199034 St. Petersburg, Russia
| | - Andrey S. Glotov
- Departemnt of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology, and Reproductology, 199034 St. Petersburg, Russia
- Correspondence: (Y.A.B.); (A.S.G.)
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19
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Dong X, Xiao T, Chen B, Lu Y, Zhou W. Precision medicine via the integration of phenotype-genotype information in neonatal genome project. FUNDAMENTAL RESEARCH 2022; 2:873-884. [PMID: 38933389 PMCID: PMC11197532 DOI: 10.1016/j.fmre.2022.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 07/07/2022] [Accepted: 07/10/2022] [Indexed: 11/21/2022] Open
Abstract
The explosion of next-generation sequencing (NGS) has enabled the widespread use of genomic data in precision medicine. Currently, several neonatal genome projects have emerged to explore the advantages of NGS to diagnose or screen for rare genetic disorders. These projects have made remarkable achievements, but still the genome data could be further explored with the assistance of phenotype collection. In contrast, longitudinal birth cohorts are great examples to record and apply phenotypic information in clinical studies starting at the neonatal period, especially the trajectory analyses for health development or disease progression. It is obvious that efficient integration of genotype and phenotype benefits not only the clinical management of rare genetic disorders but also the risk assessment of complex diseases. Here, we first summarize the recent neonatal genome projects as well as some longitudinal birth cohorts. Then, we propose two simplified strategies by integrating genotypic and phenotypic information in precision medicine based on current studies. Finally, research collaborations, sociological issues, and future perspectives are discussed. How to maximize neonatal genomic information to benefit the pediatric population remains an area in need of more research and effort.
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Affiliation(s)
- Xinran Dong
- Center for Molecular Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai 201102, China
| | - Tiantian Xiao
- Division of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai 201102, China
- Department of Neonatology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610066, China
| | - Bin Chen
- Center for Molecular Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai 201102, China
| | - Yulan Lu
- Center for Molecular Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai 201102, China
| | - Wenhao Zhou
- Center for Molecular Medicine, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai 201102, China
- Division of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai 201102, China
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Zhang P, Shen Q, Zhou Y, He F, Zhao B, Wang Z, Xu R, Xu Y, Yang Z, Meng L, Dang D. Synthesis of D-A typed AIE luminogens in isomeric architecture and their application in latent fingerprints imaging. CHINESE CHEM LETT 2022. [DOI: 10.1016/j.cclet.2022.107910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Duan L, Zheng Q, Tu T. Instantaneous High-Resolution Visual Imaging of Latent Fingerprints in Water Using Color-Tunable AIE Pincer Complexes. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2202540. [PMID: 35771543 DOI: 10.1002/adma.202202540] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 06/26/2022] [Indexed: 06/15/2023]
Abstract
Instant visualization of latent fingerprints is developed by using a series of water-soluble terpyridine zinc complexes as aggregation-induced emission probes in pure water, under UV light or ambient sunlight. By simply soaking, or spraying with an aqueous solution of the probe, bright yellow fluorescence images with high contrast and resolution are readily developed on various surfaces including tinfoil, glass, paper, steel, leather, and ceramic tile. Remarkably, latent fingerprints can be visualized within seconds including details of whorl and sweat pores. The color of emission can be tuned from blue to orange by modifying the pincer ligands, allowing direct imaging under sunlight. These inexpensive, water-resistant, and color-tunable probes provide a practical approach for latent fingerprints recording and analysis, security protection, as well as criminal investigation in different scenarios.
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Affiliation(s)
- Lixin Duan
- Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Department of Chemistry, Fudan University, 2005 Songhu Road, Shanghai, 200438, P. R. China
| | - Qingshu Zheng
- Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Department of Chemistry, Fudan University, 2005 Songhu Road, Shanghai, 200438, P. R. China
| | - Tao Tu
- Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, Department of Chemistry, Fudan University, 2005 Songhu Road, Shanghai, 200438, P. R. China
- State Key Laboratory of Organometallic Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 200032, P. R. China
- Green Catalysis Center and College of Chemistry, Zhengzhou University, 100 Kexue avenue, Zhengzhou, 450001, P. R. China
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Dynamic transcriptome analysis of NFAT family in guided bone regeneration with occlusive periosteum in swine model. J Orthop Surg Res 2022; 17:364. [PMID: 35883195 PMCID: PMC9327338 DOI: 10.1186/s13018-022-03252-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Accepted: 07/09/2022] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVE To investigate the dynamic expression of NFAT family of periosteum in guided bone regeneration process. MATERIAL AND METHODS The swine ribs on one side were used as the trauma group and the contralateral side as the control group. After rib segment was removed, periosteum was sutured to form a closed cavity mimicking guided bone regeneration. The periosteum and regenerated bone tissue were collected at nine time points for gene sequencing and hematoxylin-eosin staining. The expression data of each member were extracted for analysis. Expression correlations among various members were analyzed. RESULTS Staining showed the guided bone regeneration was almost completed 1 month after the operation with later stage for bone remodeling. The expression levels of each member in both groups changed greatly, especially within postoperative 1.5 months. The expression of NFATc1 and NFATC2IP in trauma group was significantly correlated with those of control group. The foldchange of each member also had large fluctuations especially within 1.5 months. In the trauma group, NFATc2 and NFATc4 were significantly upregulated, and there was a significant aggregation correlation of NFAT family expression between the various time points within one month, similar to the "pattern-block" phenomenon. CONCLUSION This study revealed the dynamic expression of NFAT family in guided bone regeneration, and provided a reference for the specific mechanism. The first 1.5 months is a critical period and should be paid attention to. The significant high-expression of NFATc2 and NFATc4 may role importantly in this process, which needs further research to verify it.
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Xu T, Yan L, Sun B, Xu Q, Zhang J, Zhu W, Zhang Q, Chen N, Liu G, Chen F. Impacts of Delivery Mode and Maternal Factors on Neonatal Oral Microbiota. Front Microbiol 2022; 13:915423. [PMID: 35832807 PMCID: PMC9271910 DOI: 10.3389/fmicb.2022.915423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 05/23/2022] [Indexed: 11/16/2022] Open
Abstract
Objectives Initial oral microbial colonization has complicatedly interacted with growth and development. The aim of our study was to discover links between oral microbiota community structure and mode of delivery, maternal factors, such as systemic diseases, abortion history, and pregnancy complications. Methods A total of 177 pregnant women and their neonates were enrolled at Peking university people's hospital. We collected oral samples, medical history, and development phenotype and used a 16S rRNA gene sequence to analyze microbial diversity at all taxonomic levels, network structure, and metabolic characteristics. Results Firmicutes, Proteobacteria, and Actinobacteriota were the most predominant bacteria of neonatal oral samples among these phyla. Alpha-diversity of pregnant women with gestational diabetes mellitus (GDM), abortion history, and without immune diseases was higher than in control groups, and no significant dissimilarity in beta-diversity was observed between different maternal factors. Obvious separation or trend failed to be seen in different development phenotype groups. Besides, Oscillospirales were significantly more abundant in a natural delivery group than in the cesarean section group. Conclusion Our study indicated that maternal factors and mode of delivery influenced the oral microbial structure, but longitudinal studies were indispensable for capturing the long-term effects on neonatal development phenotype and oral microbiota.
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Affiliation(s)
- Tiansong Xu
- Central Laboratory, Peking University School of Stomatology, Beijing, China
| | - Lihuang Yan
- Department of Obstetrics, Peking University People’s Hospital, Beijing, China
| | - Bohui Sun
- Central Laboratory, Peking University School of Stomatology, Beijing, China
| | - Qi Xu
- Department of Obstetrics, Peking University People’s Hospital, Beijing, China
| | - Jieni Zhang
- Central Laboratory, Peking University School of Stomatology, Beijing, China
| | - Wenhui Zhu
- Central Laboratory, Peking University School of Stomatology, Beijing, China
| | - Qian Zhang
- Central Laboratory, Peking University School of Stomatology, Beijing, China
| | - Ning Chen
- Department of Gastroenterology, Peking University People’s Hospital, Beijing, China
| | - Guoli Liu
- Department of Obstetrics, Peking University People’s Hospital, Beijing, China
| | - Feng Chen
- Central Laboratory, Peking University School of Stomatology, Beijing, China
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The surprising genes behind a fingerprint’s unique swirls. Nature 2022. [DOI: 10.1038/d41586-021-03850-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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