91 research outputs found
Methods used to identify imprinted genes in mouse.
Methods used to identify imprinted genes in mouse.</p
Combined applications of haESCs and CRISPR-Cas9 in functional studies of imprinted genes in vivo.
The sperm-originated AG-haESCs carrying deletions in both H19-DMR and IG-DMR combined with CRISPR-Cas9 editing technology can be used to study the function of paternally expressed genes and imprinting mechanisms and to trace the expression of imprinted genes. If AG-haESCs and PG-haESCs can be used to substitute for maternal and paternal genomes, respectively, and support normal embryonic development, it may be possible to simultaneously edit maternal and paternal alleles of the imprinted gene in the future (labeled by dashed box). AG, androgenetic; DKO, double knockout; DMR, differentially DNA-methylated region; H19, a long noncoding RNA; haESC, haploid embryonic stem cell; IG, intergenic germline-derived; PG, parthenogenetic, SC, semicloned.</p
Generation of normal mice using haESCs as gamete replacements.
(A) ICSI can generate normal mice. (B) The AG-haESCs support full-term embryonic development through ICAHCI, but with very low developmental efficiency. The generated mice are termed SC mice. (C) The PG-haESCs support full-term embryonic development through coinjection with sperm into enucleated oocytes, but with very low developmental efficiency. (D and E) The AG or PG-haESCs with deletions of two or three paternal DMRs efficiently generate normal mice through ICAHCI or ICPHCI. (F) The sperm-originated AG-haESCs with deletions in seven maternally imprinted regions (Nespas, Peg3, Snrpn, Kcnq1, Grb10, Igf2r, and Gnas) can be used to replace oocyte genomes for full-term development of bipaternal embryos using tetraploid complementation technology. (G) It is not clear whether AG-haESCs and PG-haESCs cultured in vitro can simultaneously substitute for paternal and maternal genomes and generate normal mice. The experiments that have been performed are outlined with a solid box; proposed experiments are outlined with a dashed box. Birth rate: percentage of transferred embryos. Surviving rate: percentage of born pups. AG, androgenetic; DMR, differentially DNA-methylated region; ESC, embryonic stem cell; Grb10, growth factor receptor bound protein 10; haESC, haploid embryonic stem cell; ICAHCI, intracytoplasmic AG-haESC injection; ICPHCI, intracytoplasmic PG-haESC injection; ICSI, intracytoplasmic sperm injection; Igf2r, insulin-like growth factor 2 receptor; Kcnq1, potassium voltage-gated channel subfamily Q member 1; KO, knockout; Nespas, neuroendocrine secretory protein antisense; Peg3, paternally expressed 3; PG, parthenogenetic; SC, semicloned; Snrpn, small nuclear ribonucleoprotein-associated protein N.</p
Schematic diagram of angle preference solution for minimizing optimization problems.
Schematic diagram of angle preference solution for minimizing optimization problems.</p
Flowchart of chaos light optimization model based on MOGA.
Flowchart of chaos light optimization model based on MOGA.</p
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Aiming at the weak performance of chaotic light output in semiconductor laser systems, the study designed a power control algorithm for semiconductor laser drive systems based on linear self-disturbance rejection control. Then the optimization parameters and scope were determined, and multi-objective optimization and direction preference algorithms were introduced. A chaotic optical performance optimization model based on improved multi-objective genetic algorithm was constructed using adaptive functions as evaluation indicators. These results confirmed that the larger the bandwidth of the controller, the faster the response speed of the resonant converter, but the stability was poor. When the input voltage underwent a sudden change, the current ripple coefficient of the PID algorithm was 0.55%. The linear active disturbance rejection control algorithm could ensure that the voltage and current maintained at the set values, and the output current of the algorithm was more stable when the load underwent sudden changes. The directional preference algorithm could further provide more valuable solutions on the basis of adaptive genetic algorithms. When the peak value of the autocorrelation function was equal to 0.2, the delay characteristics of chaotic light were effectively suppressed, having strong signal bandwidth and complexity. In summary, the constructed model has good application effects in optimizing chaotic optical performance and has certain positive significance for communication security.</div
Comparison results of output current and voltage between LADRC algorithm and PID algorithm.
Comparison results of output current and voltage between LADRC algorithm and PID algorithm.</p
Population optimized locally through angle preference algorithm.
Population optimized locally through angle preference algorithm.</p
The influence of parameter changes on the output current of LADRC algorithm.
The influence of parameter changes on the output current of LADRC algorithm.</p
Schematic diagram of the structure of a semiconductor laser.
Schematic diagram of the structure of a semiconductor laser.</p
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