Welcome to the Industrial Automation website!

NameDescriptionContent
HONG  KANG
E-mail  
Password  
  
Forgot password?
  Register
当前位置:

The "Top Ten Advances in China's Life Sciences" in 2021 was announced

来源: | 作者:佚名 | 发布时间 :2023-12-07 | 460 次浏览: | Share:

The results have been published in the journal Cell (2021, 184(13):3438-3451.e10) and the Journal of the European Molecular Biology Organization (EMBO J, 2021, 41(1):e109962).

8. Uncover the mystery of long-distance bird migration

Bird migration is one of the most watched natural wonders. The formation process, maintenance mechanism and future trend of migration routes under climate change, as well as the genetic basis of migration strategies, have been the focus and difficulty of academic research.

A team from the Institute of Zoology of the Chinese Academy of Sciences (CAS), Zhan Xiangjiang, spent 12 years integrating years of satellite tracking data and population genomic information to establish a continent-scale migration research system for Arctic peregrinus Falco peregrinus. The researchers elucidated the role of climate change in the formation, maintenance and future trends of bird migration routes, and found that a gene associated with memory ability, ADCY8, was positively selected in populations of peregrine falcons that migrated over longer distances, suggesting that long-term memory may be an important basis for long-distance migration in birds. The study fully integrates new research methods such as remote sensing satellite tracking, genomics, and neurobiology, demonstrating the key role of interdisciplinary innovative research in answering major scientific questions.

The work was published as a cover article in the journal Nature (2021,591 (7849):259-264) and was named one of 12 annual reviews by Nature Ecological Evolution.

The cover of Nature magazine and the Arctic Peregrine falcon migration route

9, interference single molecule positioning microscope

The physiological processes of cells are carried out by nanoscale biomolecules, so a deeper understanding of life activities requires imaging techniques with nanoresolution. The technical research team composed of Academician Xu Tao Group and Ji Wei Group of Institute of Biophysics, Chinese Academy of Sciences, has been focusing on the research of breaking through the resolution of optical microscopic imaging. The pre-developed ROSE microscope has improved the lateral (X-Y) resolution to the nanometer level (Nature Methods, 2019). Based on the innovative principle of interference localization, ROSE-Z microscope was developed, which further broke through the axial (Z) resolution and could resolve the nanoscale subcellular structure, providing a powerful tool for life science research. The research shows that the optical microscope has entered the era of nanometer resolution, and Chinese scientists have the ability of interdisciplinary technological innovation in this field, and the new super-resolution imaging equipment with independent intellectual property rights is in the leading position in the world.

The results are published in the journal Nature Methods (2021, 18:369-373).

The hollow structure of cell microtubules was analyzed by interferometric single molecule localization microscopy

10. Whole brain single neuron diversity research and informatics big data platform

Single-neuron precision whole-brain mapping is crucial to understanding the brain. The team of Peng Hanchuan, Gu Zhongze and Xie Wei from the Institute of Brain Science and Intelligent Technology of Southeast University established the world's first complete whole brain single neuron resolution big data and informatics platform and applied it to the whole mouse brain research, and carried out high-throughput neuron reconstruction, whole brain mapping and intelligent data mining for the whole brain three-dimensional image data of neurons. Based on this platform, we produced the largest single cell neuron morphological dataset in the world, revealing for the first time the long-term projection rule and the diversity of neuron morphological subclasses on the basis of molecular level. It continues to play an important role in the study of brain cell classification and function, brain connectivity circuits, whole-brain large-scale simulation, brain-like computing, and new artificial intelligence algorithms and systems based on biological brains. This achievement realizes the first PB-level hyperscale brain big data platform combined with hardware and software and the first complete single cell morphology data production pipeline, which quantitatively proves that complete single cell anatomy analysis is crucial for the identification of nerve cell types.

The main research results were published in Nature (598:174-181;). And "Nature Methods" (19:111-118).

Complete neuronal morphological imaging, reconstruction, registration, analysis platform and process in the whole brain

According to reports, since 2015, the Association of Life Science Societies of China Association for Science and Technology has carried out the annual "Top Ten Progress in China's life sciences" selection work, aiming to promote life science research and technological innovation, and fully demonstrate and publicize major scientific and technological achievements in the field of life science in China. At present, the selection activity has been carried out for 7 consecutive years. After the selection results are announced every year, the selected project experts are invited to write and publish popular science books, and exchange meetings and popular science reports for teenagers are held to reveal new mysteries of life science to the public, provide new ideas for the development of new life science technologies, new medical breakthroughs and the development of bioeconomy, and greatly improve the social influence of life science and related technologies.

  • FOXBORO P0926KK PLC system functional module
  • FOXBORO P0924AW wireless pressure transmitter
  • FOXBORO P0916NK differential pressure transmission cable
  • FOXBORO P0916JQ PLC module
  • FOXBORO P0916JP I/A series control module
  • FOXBORO P0916GG Digital Input Module
  • FOXBORO P0916DV I/A series digital input module
  • FOXBORO P0916DC Terminal Cable
  • FOXBORO P0916DB I/A series PLC module
  • FOXBORO P0914ZM recognition module
  • FOXBORO P0902YU control module
  • FOXBORO P0901XT Process Control Unit
  • FOXBORO P0800DV fieldbus extension cable
  • FOXBORO P0800DG Standard Communication Protocol Module
  • FOXBORO P0800DB Universal I/O Module
  • FOXBORO P0800DA Industrial Control Module
  • FOXBORO P0800CE control module
  • FOXBORO P0700TT Embedded System
  • FOXBORO P0500WX Control System Module
  • FOXBORO P0500RY Terminal Cable Assembly
  • FOXBORO P0500RU control module
  • FOXBORO P0500RG Terminal Cable
  • FOXBORO P0400ZG Node Bus NBI Interface Module
  • FOXBORO P0400GH fieldbus power module
  • FOXBORO FBM207B Voltage Monitoring/Contact Induction Input Module
  • FOXBORO FBM205 Input/Output Interface Module
  • FOXBORO FBM18 Industrial Controller Module
  • FOXBORO FBM12 Input/Output Module
  • FOXBORO FBM10 Modular Control System
  • FOXBORO FBM07 Analog/Digital Interface Module
  • FOXBORO FBM05 redundant analog input module
  • FOXBORO FBM02 thermocouple/MV input module
  • FOXBORO FBI10E fieldbus isolator
  • FOXBORO DNBT P0971WV Dual Node Bus Module
  • FOXBORO CP30 Control Processor
  • FOXBORO CM902WX Communication Processor
  • FOXBORO AD202MW Analog Output Module
  • FOXBORO 14A-FR Configuration and Process Integration Module
  • FOXOBORO 130K-N4-LLPF Controller
  • FUJI FVR004G5B-2 Variable Frequency Drive
  • FUJI FVR008E7S-2 High Efficiency Industrial Inverter
  • FUJI FVR008E7S-2UX AC driver module
  • FUJI RPXD2150-1T Voltage Regulator
  • FUJI NP1PU-048E Programmable Logic Control Module
  • FUJI NP1S-22 power module
  • FUJI NP1AYH4I-MR PLC module/rack
  • FUJI NP1BS-06/08 Programmable Controller
  • FUJI NP1X3206-A Digital Input Module
  • FUJI NP1Y16R-08 Digital Output Module
  • FUJI NP1Y32T09P1 high-speed output module
  • FUJI NP1BS-08 Base Plate​
  • FUJI A50L-2001-0232 power module
  • FUJI A50L-001-0266 # N Programmable Logic Control Module
  • GE GALIL DMC9940 Advanced Motion Controller
  • GE DMC-9940 Industrial Motion Control Card
  • GE IS200AEADH4A 109W3660P001 Input Terminal Board
  • GE IC660HHM501 Portable Genius I/O Diagnostic Display
  • GE VMIVME 4140-000 Analog Output Board
  • GE VMIVME 2540-300 Intelligent Counter
  • GE F650NFLF2G5HIP6E repeater
  • GE QPJ-SBR-201 Circuit Breaker Module
  • GE IC200CHS022E Compact I/O Carrier Module
  • GE IC695PSD140A Input Power Module
  • GE IC695CHS016-CA Backboard
  • GE IC800SS1228R02-CE Motor Controller
  • GE IS215WEMAH1A Input/Output Communication Terminal Board
  • GE CK12BE300 24-28V AC/DC Contactor
  • GE CK11CE300 contactor
  • GE DS3800NB1F1B1A Control Module
  • GE VMIVME2540 Intelligent Counter
  • GE 369B1859G0022 High Performance Turbine Control Module
  • GE VME7865RC V7865-23003 350-930007865-230003 M AC contactor
  • GE SR489-P5-H1-A20 Protection Relay
  • GE IS200AEPGG1AAA Drive Control Module
  • GE IS215UCCCM04A Compact PCI Controller Board
  • GE VME7768-320000 Single Board Computer
  • GE SR489-P5-LO-A1 Generator Protection Relay
  • GE IS215WETAH1BB IS200WETAH1AGC Input/Output Interface Module
  • GE D20 EME210BASE-T Ethernet Module
  • GE IS200EXHSG3REC high-speed synchronous input module
  • GE IS200ECTBG1ADE exciter contact terminal board
  • GE VPROH2B IS215VPROH2BC turbine protection board
  • GE F650BFBF2G0HIE feeder protection relay
  • GE SLN042 IC086SLN042-A port unmanaged switch
  • GE SR489-P1-HI-A20-E Generator Management Relay
  • GE IS400JPDHG1ABB IS410JPDHG1A track module
  • GE IS410STAIS2A IS400STAIS2AED Industrial Control Module
  • GE IS410STCIS2A IS400STCIS2AFF Industrial Control Module
  • GE DS200DCFBG2BNC DS200DCFBG1BNC DC Feedback Board
  • GE VME5565 VMIVME-5565-11000 332-015565-110000 P Reflective Memory
  • GE VMIVME-7807 VMIVMME-01787-414001 350-00010078007-414001 D module
  • GE IS220PDOAH1A 336A4940CSP2 Discrete Output Module
  • GE VMIVME-4150 Analog Output Module
  • GE WESDAC D20 PS Industrial Power Module
  • GE 369B1860G0031 servo drive module
  • GE 369B1859G0021 Input/Output Module
  • GE 208D9845P0008 Motor Management Relay
  • GE IS420UCSCH1A-F.V0.1-A Independent Turbine Controller
  • GE D20EME10BASE-T 820-0474 Ethernet Interface Module
  • GE DS200DCFBG2BNC MRP445970 DC Feedback Board
  • GE IC800SSI228RD2-EE servo motor controller
  • GE IS200JPDMG1ACC S1AT005 Digital Input/Output (I/O) Module
  • GE IS200TSVCH1AED servo input/output terminal board
  • GE IS200TTURH1CCC S1DF00Z Terminal Turbine Plate
  • GE IS200TSVCH1ADC S1CX01H servo input-output board
  • GE IS200TRPGH1BDD S1C5029 Trip Solenoid Valve Control Board
  • GE IS220YAICS1A L Analog Input/Output Module
  • GE UCSC H1 IS420UCSCH1A-F-VO.1-A Controller Module
  • GE UCSC H1 IS420UCSCH1A-B Communication Processing Module
  • GE IC697VDD100 Digital Input Module
  • GE V7768-320000 3509301007768-320000A0 Controller Module
  • GE IS410TRLYS1B Relay Output Module
  • GE IS415UCVGH1A V7666-111000 VME Control Card
  • GE IC800SSI216RD2-CE servo motor controller
  • GE VMIVME-5565-010000 332-01565-010000P Reflective Memory
  • GE IC695ALG508-AA Analog Input Module
  • GE IC660EPM100J Power Monitoring and Control Module
  • GE RS-FS-9001 362A1052P004 Redundant Fan System Module
  • GE IS220UCSAH1AK independent processor module
  • GE 369-HI-0-M-0-0-0-E Motor Management Relay
  • GE CIFX50-C0 interface board
  • GE SR469-P5-H-A20-T Motor Management Relay
  • GE WES5120 2340-21005 power module
  • GE WES5120 2340-21003 Control Module
  • GE D20MIC10BASE-T 820-0756 Ethernet Module
  • GE WES13-3 5167-001-0210 Mechanical Relay Output Module
  • GE WES13-3 2508-21001 Control Board Module
  • GE D20ME 526-2005-216943 Input/Output Module