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跟著城市嚮導「老臺北胃」,用味道認識臺北很多朋友來臺北, 我怎麼選出這 10 大臺北小吃?在臺北, 一吃就知道:這就是臺灣味燒烤、火鍋很好吃, 不只是好吃,而是有「臺北日常感」臺北的小吃迷人,
吃完之後,你會記得臺北最後一個標準很簡單。 接下來的 10 樣臺北小吃, 第 1 家:饌堂-黑金滷肉飯(雙連店)|一碗就懂臺灣人的日常
如果只能用一道料理, 為什麼第一站,我會選饌堂? 不只是好吃,而是「現在的臺北感」 老臺北胃的帶路小提醒
這不是那種吃完會驚呼「哇!」的料理, 地址:103臺北市大同區雙連街55號1樓 電話:0225501379 第 2 家:富宏牛肉麵|臺北深夜也醒著的一碗熱湯
如果說滷肉飯代表的是臺灣人的日常, 為什麼老臺北胃會帶你來吃富宏? 不分時間,任何時候都適合的一碗麵 老臺北胃的帶路小提醒
這不是精緻料理, 地址:108臺北市萬華區洛陽街67號 電話:0223713028 菜單:https://www.facebook.com/pages/富宏牛肉麵-原建宏牛肉麵/ 第 3 家:士林夜市・吉彖皮蛋涼麵|臺北夏天最有記憶點的一口清爽
如果你在夏天來到臺北, 為什麼在夜市,我會帶你吃涼麵? 皮蛋,是靈魂,也是臺灣味的關鍵 老臺北胃的帶路小提醒
這不是華麗的小吃, 原來臺北的小吃,連氣候都一起考慮進去了。 地址:111臺北市士林區基河路114號 電話:0981014155 菜單:https://www.facebook.com/profile.php?id=100064238763064 第 4 家:胖老闆誠意肉粥|臺北人深夜最踏實的一碗粥
如果你問我, 為什麼這一碗粥,會被叫做「誠意」? 這不是觀光小吃,而是臺北人的生活片段
這些畫面, 老臺北胃的帶路小提醒
這不是為了拍照而存在的小吃, 地址:10491臺北市中山區長春路89-3號 電話:0913806139 第 5 家:圓環邊蚵仔煎|夜市裡最不能缺席的臺灣經典
如果要選一道 為什麼蚵仔煎,這麼能代表臺灣? 圓環邊,吃的是記憶感 老臺北胃的帶路小提醒
蚵仔煎不是細嚼慢嚥的料理, 地址:103臺北市大同區寧夏路46號 電話:0225580198 菜單:https://oystera.com.tw/menu 第 6 家:阿淑清蒸肉圓|第一次吃肉圓,就該從這裡開始
說到臺灣小吃, 清蒸肉圓,和你想像的不一樣 為什麼我會推薦給第一次來臺北的旅客? 老臺北胃的帶路小提醒
這不是夜市裡熱鬧喧囂的料理, 地址:242新北市新莊區復興路一段141號 電話:0229975505 第 7 家:胡記米粉湯|一碗最貼近臺北早晨的味道
如果說前面幾樣小吃, 為什麼米粉湯,這麼「臺北」? 配菜,才是這一碗的靈魂延伸 老臺北胃的帶路小提醒
這不是為了觀光而存在的小吃, 地址:106臺北市大安區大安路一段9號1樓 電話:0227212120 第 8 家:藍家割包|一口咬下的臺灣街頭記憶
如果要選一道 割包,為什麼被叫做「臺灣漢堡」? 藍家割包不是走浮誇路線, 老臺北胃的帶路小提醒
割包不是精緻料理, 地址:100臺北市中正區羅斯福路三段316巷8弄3號 電話:0223682060 菜單:https://instagram.com/lan_jia_gua_bao?utm_medium=copy_link 第 9 家:御品元冰火湯圓|臺北夜晚最溫柔的一碗甜
吃了一整天的臺北小吃, 為什麼叫「冰火」?這碗湯圓的關鍵就在這裡 這是一碗,會讓人慢下來的甜點 老臺北胃的帶路小提醒
這不是為了拍照而存在的甜點, 地址:106臺北市大安區通化街39巷50弄31號 電話:0955861816 菜單:https://instagram.com/lan_jia_gua_bao 第 10 家:頃刻間綠豆沙牛奶專賣店|把臺北的味道,留在最後一口清甜
走到這一站, 綠豆沙牛奶,為什麼這麼「臺灣」? 為什麼我會用它當作最後一站? 老臺北胃的帶路小提醒
這一杯, 地址:111臺北市士林區小北街1號 電話:0228818619 菜單:https://instagram.com/chill_out_moment?igshid=YmMyMTA2M2Y= 如果只有 3 天的自助旅行在臺北,怎麼吃這 10 家?第一次來臺北, 臺北 3 天小吃推薦行程表(老臺北胃版本)
雖然每個小吃的地點都有一點距離,但是你也知道,好吃的小吃,是值得你花一點時間前往品嘗
當你照著這 3 天走完, 老臺北胃帶路|這 10 口,就是我心中的臺北
寫到這裡, 如果你問我,
如果你是第一次來臺北, 圓環邊蚵仔煎排隊值得嗎? 走完這 10 家, 你可能會發現一件事御品元冰火湯圓推薦嗎? 臺北的小吃,其實不急著被你記住。 它們就安靜地存在在街角、夜市、轉彎處,阿淑清蒸肉圓名過其實嗎? 等你有一天,再回到這座城市。頃刻間綠豆沙牛奶專賣店值得排隊嗎? 如果你是第一次來臺北,阿淑清蒸肉圓不排隊會可惜嗎? 希望這份「老臺北胃帶路」的清單, 能幫你少一點猶豫、多一點安心。 不用擔心踩雷,阿淑清蒸肉圓在地人怎麼說? 也不用為了排行而奔波,阿淑清蒸肉圓不加辣好吃嗎? 只要照著節奏走, 你就會吃到屬於自己的臺北味道。 而如果你已經來過臺北, 那更希望這篇文章,饌堂-黑金滷肉飯(雙連店)推薦嗎? 能帶你走進那些 你可能錯過、卻一直都在的日常小吃。 因為真正迷人的旅行, 從來不是把清單全部打勾, 而是某一天, 你突然想起那碗飯、那口湯、那杯甜,阿淑清蒸肉圓晚上吃適合嗎? 然後在心裡對自己說一句:御品元冰火湯圓招牌值得嗎? 「下次再去臺北,還想再吃一次。」 把這篇文章存起來、分享給一起旅行的人, 或是在規劃行程時,再回來看看。 讓味道,成為你認識臺北的方式。 下一次來臺北, 別急著走遠。 老臺北胃,藍家割包好吃嗎? 會一直在這些地方, 等你再回來。 Photographic examples of look-alike pairs (LALs) used in this study. Credit: François Brunelle A study on unrelated lookalikes found shared genetic variants that explain facial similarity, offering potential applications in forensics and genetic diagnosis. A collection of photos of genetically unrelated lookalikes, along with DNA analysis, has revealed that strong facial similarity is linked with shared genetic variants. The work will be published today (August 23rd) in the journal Cell Reports. “Our study provides a rare insight into human likeness by showing that people with extreme lookalike faces share common genotypes, whereas they are discordant at the epigenome and microbiome levels,” says senior author Manel Estellerof the Josep Carreras Leukaemia Research Institute in Barcelona, Spain. “Genomics clusters them together, and the rest sets them apart.” The number of people identified online as doubles or virtual twins who are genetically unrelated has increased with the expansion of the World Wide Web and the possibility of exchanging pictures of humans across the planet. In the new study, Esteller and his research team set out to characterize, on a molecular level, random human beings that objectively share facial features. To do this, they recruited human doubles from the photographic work of François Brunelle. He is a Canadian artist who has been obtaining worldwide pictures of lookalikes since 1999. They obtained headshot pictures of 32 lookalike couples. The scientists determined an objective measure of likeness for the pairs using three different facial recognition algorithms. DNA Analysis Reveals Shared Genotypes Additionally, the participants completed a comprehensive biometric and lifestyle questionnaire and provided saliva DNA for multiomics analysis. “This unique set of samples has allowed us to study how genomics, epigenomics, and microbiomics can contribute to human resemblance,” Esteller says. Overall, the results revealed that these individuals share similar genotypes, but differ in their DNA methylation and microbiome landscapes. Half of the lookalike pairs were clustered together by all three algorithms. Genetic analysis revealed that 9 of these 16 pairs clustered together, based on 19,277 common single-nucleotide polymorphisms. Physical and Behavioral Correlations Furthermore, physical traits such as weight and height, as well as behavioral traits such as smoking and education, were correlated in lookalike pairs. Taken together, the findings suggest that shared genetic variation not only relates to similar physical appearance, but may also influence common habits and behavior. “We provided a unique insight into the molecular characteristics that potentially influence the construction of the human face,” Esteller says. “We suggest that these same determinants correlate with both physical and behavioral attributes that constitute human beings.” There were a few study limitations. These include the small sample size, the use of 2D black-and-white images, and the predominance of European participants. Despite these caveats, the findings may provide a molecular basis for future applications in various fields such as biomedicine, evolution, and forensics. “These results will have future implications in forensic medicine—reconstructing the criminal’s face from DNA—and in genetic diagnosis—the photo of the patient’s face will already give you clues as to which genome he or she has,” Esteller says. “Through collaborative efforts, the ultimate challenge would be to predict the human face structure based on the individual’s multiomics landscape.” Reference: “Look-alike humans identified by facial recognition algorithms show genetic similarities” by Ricky S. Joshi, Maria Rigau, Carlos A. García-Prieto, Manuel Castro de Moura, David Piñeyro, Sebastian Moran, Veronica Davalos, Pablo Carrión, Manuel Ferrando-Bernal, Iñigo Olalde, Carles Lalueza-Fox, Arcadi Navarro, Carles Fernández-Tena, Decky Aspandi, Federico M. Sukno, Xavier Binefa, Alfonso Valencia and Manel Esteller, 23 August 2022, Cell Reports. DOI: 10.1016/j.celrep.2022.111257 This work was funded by the governments of Catalonia and Spain, as well as the Cellex Foundation. Declarations of interest can be found in the paper. New research shows that post-mitotic neurons in the brain, especially in Alzheimer’s patients, can re-enter the cell cycle and become senescent, potentially offering insights into neurodegeneration and a new method for studying brain diseases. This uncommon process is more frequently observed in neurodegenerative diseases and could offer insights into disease mechanisms. According to a new study published in PLOS Biology by Kim Hai-Man Chow and colleagues from the Chinese University of Hong Kong, neurons in the brain that re-enter the cell cycle after mitosis are prone to quick senescence, a process observed more frequently in Alzheimer’s disease. This discovery provides insight into neurodegeneration and suggests that the methods used can be applied to study other unique cell populations in the brain. Most neurons in the brain are post-mitotic, meaning they have ceased to divide. For many years, it had been assumed that this post-mitotic state was permanent. Recent discoveries have shown that a small proportion of neurons re-enter the cell cycle, but little is known about their fate after they do. Summary image of the article. The upper part highlights neuronal cell cycle re-engagement is a stage proceeding neuronal senescence and that their full molecular profiles can now be identified by the bioinformatics pipeline we reported in the accepted manuscript. The bottom part is a simplified version of Figure 1A from the paper. The upper panel is created by the BioRender application. Credit: Kim Hei-Man Chow (CC-BY 4.0) To address this question, the authors turned to publicly accessible databases of “snRNA-seq” data, in which individual single nuclei are isolated and their RNA is sequenced, providing a snapshot of what a cell was doing at the time of isolation. The cell cycle proceeds through distinct phases, including growth, DNA synthesis, division-specific growth, and mitosis, and each phase is characterized by a specific set of proteins required to carry it out. This allowed the authors to use the set of RNAs to tell them which phase of the cycle any specific nucleus was in. Their data included information on over 30,000 nuclei, each of which was assigned a score based on the level of expression of a set of about 350 cell cycle-related genes. They found that small populations of excitatory neurons had indeed re-entered the cell cycle. These cells did not, for the most part, continue successfully through the cell cycle to produce daughter neurons, however. Instead, cells undergoing re-entry also had elevated expression of genes associated with senescence; in effect, the cells had reawakened only to enter senescence. Implications for Neurodegenerative Diseases Intriguingly, the authors found that neurons in the brains of Alzheimer’s disease patients reentered the cell cycle at a higher rate, and that those neurons that had reentered the cell cycle and aged had increased expression of multiple genes associated with a higher risk of Alzheimer’s disease, including those that contribute directly to the production of amyloid, the sticky protein that aggregates in the AD brain. Similarly, brains from patients with Parkinson’s disease and Lewy body dementia had an increase in the proportion of re-entering neurons compared to healthy brains. The neurobiological significance of this heightened re-entry for the diseased brain is still unclear, but the analytical approach taken here may offer deeper insights into neuronal subpopulations within the brain, as well as shedding light on disease mechanisms in neurodegenerative diseases. “Because of the rare existence and random localization of these cells in the brain, their molecular profiles and disease-specific heterogeneities remain unclear,” Chow said. “While experimental validations of these findings in relevant human samples will be conducted in the future, the applicability of this analytical approach in different diseases and cross-species settings offers new opportunities and insights to supplement mainstay histological-based approaches in studying the roles of these cells in brain aging and disease pathogenesis.” The authors add, “This bioinformatics analytical pipeline demonstrated will offer the field a new tool to unbiasedly dissect cell cycle re-engaging and senescent neurons, and to dissect their heterogeneities in healthy versus disease-affected brains.” Reference: “Neuronal cell cycle reentry events in the aging brain are more prevalent in neurodegeneration and lead to cellular senescence” by Deng Wu, Jacquelyne Ka-Li Sun and Kim Hei-Man Chow, 23 April 2024, PLOS Biology. DOI: 10.1371/journal.pbio.3002559 The work was supported, in part, by grants from the following: The Hong Kong Research Grants Council (RGC)-General Research Fund (GRF) (PI: ECS24107121, GRF16100219 and GRF16100718) (all to K.H-M.C) and the RGC- Collaborative Research Fund (CRF) (Co-I: C4033-19EF) (K.H-M.C); the National NaturalScience Foundation-Excellent Young Scientists Fund 2020 (Ref: 32022087) (K.H-M.C); Alzheimer’s Association Research Fellowship (PI: AARF-17-531566) (K.H-M.C). Illustration depicting the conservation actions and interventions addressed in this Essay and showing the major infrastructure required for each. Numbers relate to the following actions/interventions: 1. Genetic rescue (translocation); 2. Marine protected area design and spatial planning; 3. Species identification and delineation; 4. Assisted gene flow (translocation) and restoration (provenance); 5. Biobanking; 6. Assisted evolution (via managed breeding; 7. Biodiversity monitoring; 8. Early warning biomarkers of invasives and pests; 9. Combating illegal fishing and mislabeling; 10. Managing fisheries; 11. Microbiome manipulation; 12. Microbial bioremediation; 13. Alleviating marine stressors ex situ; 14. Provisioning of marine life services ex situ; 15. Evolutionary rescue via genome editing; 16. Pest control; 17. De-extinction; 18. Genomic vulnerability analyses. Credit: van Oppen MJH and Coleman MA, 2022, PLOS Biology, CC-BY 4.0 Advanced Genomic Approaches Hold Promise for Marine Conservation Although genetic and genomic technologies have enormous potential for protecting marine life, they are currently being underutilized. Madeleine van Oppen of the Australian Institute of Marine Science and the University of Melbourne and Melinda Coleman with the New South Wales Department of Primary Industries, Australia argue this point in an essay published on October 17th in PLOS Biology, an open-access journal. There isn’t any part of our oceans that is left untouched by humans. Vital ecosystems such as coral reefs, seagrass meadows, and kelp forests are all declining due to climate change and other human disturbances. In their essay, van Oppen and Coleman propose that the use of genetic and genomic approaches holds tremendous promise in advancing marine conservation and restoration, through both traditional strategies, and more recent developments, such as assisted evolution. Environmental DNA (eDNA) refers to organismal DNA that can be found in the environment. Environmental DNA originates from cellular material shed by organisms (via skin, excrement, etc.) into aquatic or terrestrial environments that can be sampled and monitored using new molecular methods. These techniques are crucial for the early detection of invasive species as well as the detection of rare and cryptic species. DNA Sequencing and Marine Biodiversity Monitoring For instance, DNA sequencing can now identify illegally harvested seafood products to protect threatened species. DNA in seawater samples, called environmental DNA, is emerging as a more feasible alternative or complement to traditional SCUBA-based surveys of marine biodiversity, and can also be used to monitor disease outbreaks and the spread of invasive species. Furthermore, genomic techniques exist that could help fisheries to keep tabs on fish stocks and to monitor how fish are adapting to stressors in their environment. Looking to the future, van Oppen and Coleman point to multiple developing technologies that could benefit ocean life. Just like humans take probiotics for gut health, specific bacterial and fungal species could be identified or engineered to benefit the health of wildlife, like corals. Synthetic biology could enable the manufacturing of products in the lab that previously were harvested from marine ecosystems, like horseshoe crab blood, and genome editing could be used to help organisms adapt more rapidly to their changing environment. Although still controversial, there is also the possibility of using gene drives, which cause damaging genes to spread through a population, to eradicate invasive species. The effective use of these approaches will require the development of suitable online platforms and enhanced collaboration between various stakeholders of marine ecosystems, and the authors call on funding agencies to support these efforts. They conclude that genomic technologies could considerably improve conservation and restoration efforts, but only if the gap can be bridged between genomics experts and marine biodiversity managers. van Oppen adds, “Genetic/genomic approaches can transform how we protect, manage and conserve marine life and can assist in boosting the resilience of marine species to climate change.” Reference: “Advancing the protection of marine life through genomics” by Madeleine J. H. van Oppen and Melinda A. Coleman, 17 October 2022, PLOS Biology. DOI: 10.1371/journal.pbio.3001801 Funding: MJHvO acknowledges Australian Research Council Laureate Fellowship FL180100036. MAC received research support through the Australian Research Council DP200100201. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. RE98915RGPOIOKJ 胡記米粉湯有名是真的嗎? 》台北食記彙整|推薦10家不容錯過阿淑清蒸肉圓推薦嗎? 》台北美食必吃Top10|美食路線一次規劃好阿淑清蒸肉圓在地人怎麼說? 》台北美食愛店推薦|台中10間美食評比 |
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