跟著城市嚮導「老臺北胃」,用味道認識臺北
很多朋友來臺北,
都會問我同一個問題:
「臺北小吃那麼多,到底該從哪裡開始吃?」
夜市裡攤位一字排開、老店藏在巷弄轉角,
看起來都很有名,卻又怕吃錯、踩雷,
結果行程走完,反而沒真正記住臺北的味道。
我常被朋友笑說是「老臺北胃」。
不是因為特別會吃,而是因為在這座城市待久了,
知道哪些味道是陪著臺北人成長的日常。
這篇文章,就是我整理的一份清單。
如果你第一次來臺北,
我會帶你從這 10 樣最具代表性的臺北小吃開始,
不追一時爆紅、不走浮誇路線,
而是讓你吃完後能真正理解
原來,這就是臺灣的小吃文化。
跟著老臺北胃走,
用最簡單的方式,
把臺北的味道,一樣一樣記在心裡。
我怎麼選出這 10 大臺北小吃?
在臺北,
你隨便走進一條夜市或老街,
都可以輕易列出 30 種以上的小吃。
所以這份清單,
不是「臺北最好吃」的排名,
而是我站在「第一次來臺北的旅客」角度,
做的推薦。
身為一個被朋友稱作「老臺北胃」的人,
我選這 10 樣小吃時,心裡一直放著幾個原則。
一吃就知道:這就是臺灣味
燒烤、火鍋很好吃,
但換個城市、換個國家,也吃得到。
我挑的,是那種
只要一入口,就會讓人聯想到的臺灣味。
不需要解釋太多,舌頭就能懂。
不只是好吃,而是有「臺北日常感」
臺北的小吃迷人,
不只在味道,
而在它融入生活的方式。
我在意的是:
- 會不會出現在早餐、宵夜、下班後
- 有沒有陪伴這座城市很久的記憶
吃完之後,你會記得臺北
最後一個標準很簡單。
如果你回到家,
還會突然想起某個味道、某碗熱湯、某個攤位的香氣
那它就值得被放進這份清單裡。
接下來的 10 樣臺北小吃,
就是我會親自帶朋友去吃的在地美食。
不趕行程、不拚數量,
而是一口一口,
慢慢認識臺北。
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,
來解釋臺灣人的日常飲食,
那我一定會先帶你吃滷肉飯。
在臺北,滷肉飯不是什麼特別的節慶料理,
而是從早餐、午餐到宵夜,
默默陪著很多人長大的味道。
而在眾多滷肉飯之中,
饌堂-黑金滷肉飯(雙連店),
我很常帶第一次來臺北的朋友造訪的一家。
為什麼第一站,我會選饌堂?
饌堂的滷肉飯,走的是**「黑金系」路線**。
滷汁顏色深、香氣厚,
卻不死鹹、不油膩。
滷肉切得細緻,
肥肉入口即化,搭配熱騰騰的白飯,
每一口都是很完整、很臺灣的味道。
對第一次吃滷肉飯的旅客來說,
這種風味夠經典、也夠穩定,
不需要太多心理準備,就能理解為什麼臺灣人這麼愛它。
不只是好吃,而是「現在的臺北感」
饌堂並不是那種躲在深巷裡的老攤,
空間乾淨、節奏俐落,
卻沒有失去滷肉飯該有的靈魂。
這也是我會推薦給旅客的原因之一:
它保留了臺灣小吃的核心味道,
同時也讓第一次來臺北的人,
吃得安心、坐得舒服。
老臺北胃的帶路小提醒
如果是第一次來:
- 一定要點招牌黑金滷肉飯
- 可以加一顆滷蛋,風味會更完整
- 搭配簡單的小菜,就很有臺灣家常感
這不是那種吃完會驚呼「哇!」的料理,
而是會讓你在幾口之後,
慢慢理解
原來,臺灣人的日常,就是這樣被一碗飯照顧著。
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,
那牛肉麵,
就是很多臺北人心中最有份量的一餐。
而在臺北提到牛肉麵,
富宏牛肉麵,
幾乎是夜貓族、加班族、外地旅客一定會被帶去的一站。
為什麼老臺北胃會帶你來吃富宏?
富宏最讓人印象深刻的,
不是華麗裝潢,
而是那鍋永遠冒著熱氣的紅燒湯頭。
湯色濃而不混,
帶著牛骨與醬香慢慢熬出的厚度,
喝起來溫潤、不刺激,
卻會在嘴裡留下很深的記憶點。
牛肉給得大方,
燉到軟嫩卻不鬆散,
搭配彈性十足的麵條,
每一口都很直接、很臺北。
不分時間,任何時候都適合的一碗麵
富宏牛肉麵最迷人的地方,
在於它陪伴了無數個臺北的夜晚。
不管是深夜下班、看完演唱會、
或是剛抵達臺北、還沒適應時差,
這裡總有一碗熱湯在等你。
對旅客來說,
這種不用算時間、不用擔心打烊的安心感,
本身就是一種臺北特色。
老臺北胃的帶路小提醒
第一次來富宏,我會這樣點:
- 紅燒牛肉麵是首選
- 如果想吃得更過癮,可以加點牛筋或牛肚
- 湯先喝一口原味,再視情況調整辣度
這不是精緻料理,
卻是一碗能在任何時刻撐住你的牛肉麵。
在臺北,
很多夜晚,
就是靠這樣一碗熱湯走過來的。
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,
一定會很快發現一件事
這座城市,真的很熱。
也正因為這樣,
臺北的小吃世界裡,
才會出現像「涼麵」這樣的存在。
而在士林夜市,
吉彖皮蛋涼麵,
就是我很常帶旅客來吃的一家。
為什麼在夜市,我會帶你吃涼麵?
很多人對夜市的印象,
都是炸物、熱湯、重口味。
但真正的臺北夜市,
其實也很懂得照顧人的胃。
吉彖的涼麵,
冰涼的麵條拌上濃郁芝麻醬,
再加上切得細緻的皮蛋,
入口的第一瞬間,
就是一種「被降溫」的感覺。
那種清爽,
不是沒味道,
而是在濃香與清涼之間取得剛剛好的平衡。
皮蛋,是靈魂,也是臺灣味的關鍵
對很多外國旅客來說,
皮蛋是既好奇、又有點猶豫的存在。
但我常說,
如果要嘗試皮蛋,
涼麵是一個非常溫柔的起點。
芝麻醬的香氣會先接住味蕾,
皮蛋的風味則在後段慢慢出現,
不衝、不嗆,
反而多了一層深度。
很多人吃完後,
都會露出那種「原來是這樣啊」的表情。
老臺北胃的帶路小提醒
第一次點吉彖皮蛋涼麵,我會建議:
- 一定要選皮蛋款,才吃得到特色
- 醬料先拌勻,再吃,風味會更完整
- 如果天氣真的很熱,這一碗會救你一整晚
這不是華麗的小吃,
卻非常臺北。
在悶熱的夜晚,
站在夜市人潮裡,
吃著一碗涼麵,
你會突然明白——
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,
臺北人在深夜、下班後,
最容易感到被安慰的食物是什麼——
我會毫不猶豫地說:肉粥。
而提到肉粥,
胖老闆誠意肉粥,
就是很多老臺北人口中的那一味。
為什麼這一碗粥,會被叫做「誠意」?
胖老闆的肉粥,看起來很簡單。
白粥、肉燥、配菜,
沒有華麗擺盤,也沒有複雜作法。
但真正坐下來吃,你會發現:
這碗粥,不敷衍任何一個細節。
粥體滑順、不稀薄,
肉燥香而不膩,
搭配各式家常小菜,
一口一口吃下去,
很自然就會放慢速度。
這種味道,
不是要你驚艷,
而是要你安心。
這不是觀光小吃,而是臺北人的生活片段
胖老闆誠意肉粥,
最迷人的地方,
就是它的客人。
你會看到:
- 剛下班的上班族
- 熬夜後來吃一碗熱粥的人
- 熟門熟路、點菜不用看菜單的老客人
這些畫面,
比任何裝潢都更能說明這家店在臺北的位置。
對旅客來說,
這是一個走進臺北人日常的入口。
老臺北胃的帶路小提醒
第一次來吃,我會這樣建議:
- 肉粥一定要點,這是主角
- 配幾樣小菜一起吃,才有完整體驗
- 不用急,慢慢吃,這碗粥就是要你放鬆
這不是為了拍照而存在的小吃,
而是那種
**會讓人記得「那天晚上,我在臺北吃了一碗很溫暖的粥」**的味道。
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
最常出現在旅客記憶裡的臺灣小吃,
蚵仔煎一定排得上前幾名。
而在臺北,
圓環邊蚵仔煎,
就是那種很多臺北人從小吃到大的存在。
為什麼蚵仔煎,這麼能代表臺灣?
蚵仔煎的魅力,
不在於精緻,
而在於它把幾種看似簡單的食材,
煎成了一種獨特的口感。
新鮮蚵仔的海味、
雞蛋的香氣、
地瓜粉形成的滑嫩外皮,
最後再淋上甜中帶鹹的醬汁,
一口下去,
就是夜市的完整畫面。
這種味道,
很難在其他國家找到替代品。
圓環邊,吃的是記憶感
圓環邊蚵仔煎,
沒有多餘的包裝,
也不刻意迎合潮流。
它留下來的原因很簡單
味道夠穩、節奏夠快、
讓人一吃就知道「對,就是這個」。
對旅客來說,
這是一家
不需要研究、不需要比較,就能安心點蚵仔煎的地方。
老臺北胃的帶路小提醒
第一次吃蚵仔煎,我會這樣建議:
- 趁熱吃,口感最好
- 不用急著加辣,先吃原味
- 醬汁是靈魂,別急著把它拌掉
蚵仔煎不是細嚼慢嚥的料理,
它屬於人聲鼎沸、鍋鏟作響的夜市時刻。
站在人群裡,
吃著一盤熱騰騰的蚵仔煎,
你會很清楚地感受到
這,就是臺北的夜晚。
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,
很多人腦中一定會出現「肉圓」兩個字。
但真正吃過之後才會發現,
肉圓,從來不只有一種樣子。
在臺北,
阿淑清蒸肉圓,
就是我很常拿來介紹「清蒸派肉圓」的一家。
清蒸肉圓,和你想像的不一樣
不少旅客對肉圓的第一印象,
來自油炸版本,
外皮厚、口感重。
而阿淑的清蒸肉圓,
完全是另一個方向。
外皮晶瑩、滑嫩,
帶著自然的彈性,
不油、不膩,
一入口反而顯得清爽。
內餡扎實,
豬肉香氣清楚,
搭配特製醬汁,
味道層次簡單卻很乾淨。
為什麼我會推薦給第一次來臺北的旅客?
因為這顆肉圓,
不需要適應期。
它不刺激、不厚重,
即使是第一次嘗試臺灣小吃的人,
也能輕鬆接受。
對旅客來說,
這是一顆
「吃得懂、也記得住」的肉圓。
老臺北胃的帶路小提醒
第一次來阿淑,我會這樣吃:
- 直接點一顆清蒸肉圓,吃原味
- 醬汁先別全部拌開,邊吃邊調整
- 放慢速度,感受外皮的口感變化
這不是夜市裡熱鬧喧囂的料理,
而是那種
安靜地展現臺灣小吃功夫的味道。
當你吃完這顆肉圓,
會更明白一件事
臺灣小吃的魅力,
往往藏在這些細節裡。
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,
是臺北的熱鬧與記憶,
那麼米粉湯,
就是這座城市最真實的日常。
而在臺北,
胡記米粉湯,
是很多人從小吃到大的存在。
為什麼米粉湯,這麼「臺北」?
米粉湯不是重口味料理,
它靠的不是刺激,
而是一碗清澈卻有深度的湯。
胡記的湯頭,
用豬骨慢慢熬出香氣,
喝起來清爽、不油,
卻能在喉嚨留下溫度。
米粉細軟,
吸附湯汁後入口順滑,
簡單到不能再簡單,
卻正是臺北人習以為常的早晨風景。
配菜,才是這一碗的靈魂延伸
在胡記吃米粉湯,
主角雖然是湯,
但真正讓人滿足的,
往往是那些小菜。
紅燒肉、豬內臟、燙青菜,
隨意點上幾樣,
湯一口、菜一口,
就是很多臺北人記憶中的早餐組合。
對旅客來說,
這是一種
不需要解釋,就能融入的臺北生活感。
老臺北胃的帶路小提醒
第一次來胡記,我會這樣建議:
- 一定要點米粉湯,湯先喝
- 再配 1~2 樣小菜,體驗會完整很多
- 這一餐適合慢慢吃,不用趕
這不是為了觀光而存在的小吃,
而是一碗
每天準時出現在臺北人生活裡的湯。
當你坐在店裡,
聽著湯勺碰撞的聲音,
你會突然感覺到——
原來,臺北的早晨,
就是從這樣一碗米粉湯開始的。
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
外國旅客一看到就會好奇、吃完又會記住的小吃,
割包,一定在名單裡。
而在臺北,
藍家割包,
就是我很放心帶旅客來認識這道經典的一站。
割包,為什麼被叫做「臺灣漢堡」?
割包的結構其實很簡單:
鬆軟的白饅頭、
燉得入味的滷五花肉、
酸菜、花生粉、香菜。
但真正迷人的,
是這些元素組合在一起時,
形成的層次感。
肉香、甜味、鹹味、清爽度,
在一口之間同時出現,
沒有誰搶戲,
卻彼此剛好。
這種平衡感,
正是臺灣小吃很迷人的地方。
藍家割包不是走浮誇路線,
它給人的感覺很直接
就是你期待中的割包樣子。
饅頭柔軟不乾,
五花肉肥瘦比例恰到好處,
入口即化卻不膩口,
花生粉的甜香收尾,
讓整體味道非常完整。
對第一次吃割包的旅客來說,
這是一個
不會出錯、也很容易愛上的版本。
老臺北胃的帶路小提醒
第一次吃藍家割包,我會這樣建議:
- 直接點招牌割包,不要改配料
- 如果有香菜,建議保留,味道會更完整
- 趁熱吃,饅頭口感最好
割包不是精緻料理,
卻非常有記憶點。
站在街頭,
拿著一顆熱騰騰的割包,
邊走邊吃,
你會很清楚地感受到
這一口,就是臺灣的街頭生活。
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,
到了這個時候,
胃其實已經差不多滿了。
但只要天氣一涼,
或夜色慢慢降下來,
你還是會想找一碗——
不是為了吃飽,而是為了舒服的甜點。
這時候,我通常會帶你來 御品元冰火湯圓。
為什麼叫「冰火」?這碗湯圓的關鍵就在這裡
御品元最有特色的地方,
就在於它的「冰火交錯」。
熱騰騰的湯圓,
外皮軟糯、內餡濃香,
搭配冰涼清甜的桂花蜜湯,
一口下去,
溫度在嘴裡交替出現。
不是衝突,
而是一種很細膩的平衡。
這樣的吃法,
也正是臺灣甜點很擅長的地方——
不張揚,但很有記憶點。
這是一碗,會讓人慢下來的甜點
和夜市裡熱鬧的甜品不同,
御品元的冰火湯圓,
更像是一個讓人停下腳步的存在。
你會發現,
坐在這裡吃湯圓的人,
說話聲都會不自覺地變小。
對旅客來說,
這不只是吃甜點,
而是一個
把白天的熱鬧慢慢收進回憶裡的時刻。
老臺北胃的帶路小提醒
第一次吃御品元,我會這樣建議:
- 點招牌冰火湯圓,體驗完整特色
- 先單吃湯圓,再搭配湯一起吃
- 放慢速度,這一碗不適合趕時間
這不是為了拍照而存在的甜點,
而是一碗
會讓你記得「那天晚上在臺北,很舒服」的湯圓。
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,
其實已經不需要再吃什麼大份量的東西了。
這時候,
最適合的,
是一杯不吵鬧、不張揚,
卻會默默留在記憶裡的飲品。
頃刻間綠豆沙牛奶,
就是我很常用來替一天畫下句點的選擇。
綠豆沙牛奶,為什麼這麼「臺灣」?
在臺灣,
飲料不只是解渴,
而是一種生活節奏。
綠豆沙牛奶看起來簡單,
但真正好喝的版本,
靠的是火候、比例,
還有耐心。
頃刻間的綠豆沙,
口感細緻、不粗顆,
甜度自然、不膩口,
牛奶的加入,
讓整杯變得柔順而溫和。
這不是衝擊味蕾的飲料,
而是一種
喝完之後,會覺得剛剛那一刻很舒服的甜。
為什麼我會用它當作最後一站?
因為它很臺北。
你可以外帶,
邊走邊喝;
也可以站在店門口,
慢慢把杯子喝空。
沒有儀式感,
卻很真實。
對旅客來說,
這杯綠豆沙牛奶,
就像是把今天吃過的所有味道,
溫柔地整理好,
帶走。
老臺北胃的帶路小提醒
第一次喝頃刻間,我會這樣建議:
- 直接點招牌綠豆沙牛奶
- 正常甜就很剛好,不用特別調整
- 找個角落慢慢喝,別急著趕路
這一杯,
不會讓你驚呼,
卻會在回程的路上,
突然想起來。
原來,臺北的味道,是這樣結束一天的。
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,
時間有限、胃容量也有限,
與其每一家都趕,不如照著節奏吃。
這份 3 天小吃路線,
是老臺北胃會帶朋友實際走的版本:
不爆走、不硬塞,
讓你每天都吃得剛剛好。
臺北 3 天小吃推薦行程表(老臺北胃版本)
|
天數 |
時段 |
店家名稱 |
小吃類型 |
|
Day 1 |
午餐 |
饌堂-黑金滷肉飯(雙連店) |
滷肉飯 |
|
Day 1 |
下午 |
阿淑清蒸肉圓 |
肉圓 |
|
Day 1 |
晚餐 |
富宏牛肉麵 |
牛肉麵 |
|
Day 1 |
宵夜 |
胖老闆誠意肉粥 |
粥品 |
|
Day 2 |
早餐 |
胡記米粉湯 |
米粉湯 |
|
Day 2 |
下午 |
藍家割包 |
割包 |
|
Day 2 |
晚上 |
士林夜市-吉彖皮蛋涼麵 |
涼麵 |
|
Day 2 |
夜市 |
圓環邊蚵仔煎 |
蚵仔煎 |
|
Day 3 |
下午 |
御品元冰火湯圓 |
甜點 |
|
Day 3 |
收尾 |
頃刻間綠豆沙牛奶專賣店 |
飲品 |
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
老臺北胃的小提醒
- 不需要每一家都點到最滿
- 留一點餘裕,才會想再回來
- 臺北小吃的魅力,不在於吃多少,而在於記住了什麼味道
當你照著這 3 天走完,
你會發現,
臺北不是靠一兩道名菜被記住的,
而是靠這些看似日常、卻很真實的小吃。
下次再來,老臺北胃再帶你吃更深的那一輪。
老臺北胃帶路|這 10 口,就是我心中的臺北

寫到這裡,
其實已經不是在推薦哪一家小吃了。
而是在回頭看,
這座城市,是怎麼用食物陪著人生活的。
滷肉飯、牛肉麵、肉粥、米粉湯,
不是為了成為觀光名單而存在,
而是每天默默出現在臺北人的日子裡。
夜市裡的蚵仔煎、涼麵、割包,
熱鬧、吵雜、節奏很快,
卻也正是臺北最真實的樣子。
而最後那碗湯圓、那杯綠豆沙牛奶,
則是在一天結束時,
替味蕾留下一個溫柔的句點。
如果你問我,
「這 10 家是不是臺北最好吃的小吃?」
我會說,
它們不一定是排行榜第一名,
卻是我真的會帶朋友去吃的版本。
因為它們吃得到:
- 臺北人的日常
- 巷弄裡的熟悉感
- 不需要解釋,就能被理解的味道
如果你是第一次來臺北,
跟著這份清單走,
你不一定會吃得最飽,
但你一定會記得——
臺北,是什麼味道。
而如果有一天,
你又再回到這座城市,
走進熟悉的街口、
看到冒著熱氣的小攤,
你也會開始懂得,
為什麼老臺北胃,
總是記得這些看似平凡的滋味。
因為,真正留在心裡的,
從來不是吃過多少,
而是哪一口,讓你想起臺北。
圓環邊蚵仔煎推薦點什麼?
走完這 10 家,
你可能會發現一件事頃刻間綠豆沙牛奶專賣店推薦點什麼?
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,士林夜市-吉彖皮蛋涼麵值得專程去嗎?
等你有一天,再回到這座城市。胡記米粉湯吃過會想再來嗎?
如果你是第一次來臺北,饌堂-黑金滷肉飯(雙連店)CP 值高嗎?
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,饌堂-黑金滷肉飯(雙連店)點這個對嗎?
也不用為了排行而奔波,饌堂-黑金滷肉飯(雙連店)長輩會喜歡嗎?
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,圓環邊蚵仔煎吃過會回訪嗎?
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,富宏牛肉麵不加辣好吃嗎?
然後在心裡對自己說一句:頃刻間綠豆沙牛奶專賣店招牌值得嗎?
「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,御品元冰火湯圓名過其實嗎?
會一直在這些地方,
等你再回來。
Illustration of cancer cells. With help from the best tweezers in the world a team of researchers from the University of Copenhagen has shed new light on a fundamental mechanism in all living cells that helps them explore their surroundings and even invade tissue. Their discovery could have implications for research into cancer, neurological disorders, and much else. Using octopus-like tentacles, a cell pushes toward its target, a bacterium, like a predator tracking down its prey. The scene could be playing out in a nature program. Instead the pursuit is being observed at the nano-scale through a microscope at the University of Copenhagen’s Niels Bohr Institute. The microscope recording shows a human immune cell pursuing and then devouring a bacterium. With their new study, a team of Danish researchers has added to the world’s understanding of how cells use octopus-like tentacles called filopodia to move around in our bodies. This discovery about how cells move had never been addressed. The study is being published today (March 28, 2022) in the renowned journal, Nature Communications. “While the cell doesn’t have eyes or a sense of smell, its surface is equipped with ultra-slim filopodia that resemble entangled octopus tentacles. These filopodia help a cell move towards a bacterium, and at the same time, act as sensory feelers that identify the bacterium as a prey,” explains Associate Professor Poul Martin Bendix, head of the laboratory for experimental biophysics at the Niels Bohr Institute. The mechanical function of filopodia can be compared to a rubber band. Untwisted, a rubber band has no power. But if you twist it, it contracts. This combination of twisting and contraction helps a cell move directionally and makes the filopodia very flexible. The mechanism discovered by the Danish researchers appears to be found in all living cells. Besides cancer cells, it is also relevant to study the importance of filopodia in other types of cells, such as embryonic stem cells and brain cells, which are highly dependent on filopodia for their development. Credit: Niels Bohr Institute / University of Copenhagen The discovery is not that filopodia act as sensory devices – which was already well established – but rather about how they can rotate and behave mechanically, which helps a cell move, as when a cancer cell invades new tissue. “Obviously, our results are of interest to cancer researchers. Cancer cells are noted for their being highly invasive. And, it is reasonable to believe that they are especially dependent on the efficacy of their filopodia, in terms of examining their surroundings and facilitating their spread. So, it’s conceivable that by finding ways of inhibiting the filopodia of cancer cells, cancer growth can be stalled,” explains Associate Professor Poul Martin Bendix. For this reason, researchers from the Danish Cancer Society Research Center are a part of the team behind the discovery. Among other things, the cancer researchers are interested in whether switching off the production of certain proteins can inhibit the transport mechanisms which are important for the filopodia of cancer cells. The Cell’s Engine and Cutting Torch According to Poul Martin Bendix, the mechanical function of filopodia can be compared to a rubber band. Untwisted, a rubber band has no power. But if you twist it, it contracts. This combination of twisting and contraction helps a cell move directionally and makes the filopodia very flexible. “They’re able to bend — twist, if you will — in a way that allows them to explore the entire space around the cell, and they can even penetrate tissues in their environment,” says lead author, Natascha Leijnse. The mechanism discovered by the Danish researchers appears to be found in all living cells. Besides cancer cells, it is also relevant to study the importance of filopodia in other types of cells, such as embryonic stem cells and brain cells, which are highly dependent on filopodia for their development. Studying Cells With the Best Tweezers in the World The project involved interdisciplinary collaboration at the Niels Bohr Institute, where Associate Professor Amin Doostmohammadi, who heads a research group that simulates biologically active materials, contributed with the modeling of filopodia behavior. “It is very interesting that Amin Doostmohammadi could simulate the mechanical movements we witnessed through the microscope, completely independent of chemical and biological details,” explains Poul Martin Bendix. The main reason that the team succeeded in being the first to describe the mechanical behavior of filopodia is that NBI has unique equipment for this type of experiment, as well as skilled researchers with tremendous experience working with optical tweezers. When an object is extraordinarily small, holding onto it mechanically becomes impossible. However, it can be held and moved using a laser beam with a wavelength carefully calibrated to the object being studied. These are called optical tweezers. “At NBI, we have some of the world’s best optical tweezers for biomechanical studies. The experiments require the use of several optical tweezers and the simultaneous deployment of ultra-fine microscopy,” explains Poul Martin Bendix. Reference: “Filopodia rotate and coil by actively generating twist in their actin shaft” by Natascha Leijnse, Younes Farhangi Barooji, Mohammad Reza Arastoo, Stine Lauritzen Sønder, Bram Verhagen, Lena Wullkopf, Janine Terra Erler, Szabolcs Semsey, Jesper Nylandsted, Lene Broeng Oddershede, Amin Doostmohammadi and Poul Martin Bendix, 28 March 2022, Nature Communications. DOI: 10.1038/s41467-022-28961-x Leading the study alongside Poul Martin Bendix and Assistant Professor Natascha Leijnse was NBI Technical Scientist Younes Barooji. The article on cell filopodia is published today in Nature Communications.
A groundbreaking study maps the genetic relationships of over 9,500 flowering plant species, creating an advanced tree of life that enhances our understanding of their evolutionary history and potential uses in various scientific fields. Credit: SciTechDaily.com The largest-ever tree of life for flowering plants has been constructed by sequencing the DNA of more than 9,500 species, charting the evolutionary and genetic connections among these plants. A recent study published in the journal Nature, authored by an international team of 279 researchers, including three scientists from the New York Botanical Garden (NYBG), offers the latest insights into the evolutionary and genetic relationships among flowering plants. These plants account for approximately 90 percent of all known plant species. Using 1.8 billion letters of genetic code from over 9,500 species covering almost 8,000 plant genera (groups of closely related species), the research team was able to create the most detailed tree of life—a graphic depiction of species relationships similar to a genealogical family tree—to date for this group of plants, shedding new light on the evolutionary history of flowering plants and their rise to ecological dominance on Earth. The study’s authors believe the data will aid future attempts to identify new species, refine plant classification, uncover new medicinal compounds, and conserve plants in the face of the dual biodiversity and climate crises. Contributing to this major milestone in plant science were Fabián Michelangeli, Ph.D., Abess Curator of Tropical Botany and Director of NYBG’s Institute of Systematic Botany; Gregory M. Plunkett, Ph.D., Director and Curator of NYBG’s Cullman Program for Molecular Systematics; and John D. Mitchell, NYBG Affiliated Scientist. An international team of researchers, including three New York Botanical Garden (NYBG) scientists, used genetic code from more than 9,500 flowering plant species to create the most detailed evolutionary tree of life for this group of plants to date. Credit: RBG Kew “While the main goals of this large-scale project were to understand the relationships of all flowering plant genera, it also sheds light on the timing of major events in the evolution of complex flower forms and life histories,” Dr. Michelangeli said. “Large analyses such as this can provide context for conservation strategies, sustainable agriculture, and many other applications that need basic biodiversity knowledge. Understanding how organisms are related is the building block of all biodiversity science and applications.” The research team—led by the Royal Botanic Gardens, Kew, and involving 138 organizations internationally—used 15 times more data than any comparable studies of the flowering plant tree of life. Among the species included in the study, the DNA of more than 800 had never been sequenced before. The sheer amount of data unlocked by this research, which would take a single computer 18 years to process, is a huge stride towards building a tree of life for all 330,000 known species of flowering plants. Drs. Michelangeli and Plunkett and Mr. Mitchell provided expertise on the plant families they study as well as expertly identified samples for a variety of plant groups, with a large proportion coming from the Melastomataceae family of tropical plants, which is Dr. Michelangeli’s specialty, and the Apiaceae (parsley or carrot) and Araliaceae (ginseng) families, which Dr. Plunkett studies. Unlocking Historic Herbarium Specimens for Cutting-Edge Research The flowering plant tree of life, much like a family tree, enables scientists to understand how different species are related to each other. The tree of life is uncovered by comparing DNA sequences between different species to identify changes (mutations) that accumulate over time like a molecular fossil record. Science’s understanding of the tree of life is improving rapidly in tandem with advances in DNA-sequencing technology. For this study, new genomic techniques were developed to magnetically capture hundreds of genes and hundreds of thousands of letters of genetic code from every sample, orders of magnitude more than earlier methods. A key advantage of the team’s approach is that it enables a wide diversity of plant material, old and new, to be sequenced, even when the DNA is badly damaged. The vast treasure troves of dried, preserved plants in the world’s herbarium collections, which comprise nearly 400 million specimens, can now be studied genetically. Using such specimens, the team successfully sequenced a sandwort (Arenaria globiflora) collected nearly 200 years ago in Nepal and, despite the poor quality of its DNA, were able to place it on the tree of life. The team even analyzed extinct plants, such has the Guadalupe Island olive (Hesperelaea palmeri), which has not been seen alive since 1875. In fact, 511 of the species sequenced are already at risk of extinction, according to the Red List, the authoritative compilation of the world’s threatened plant, fungal, and animal species maintained by the International Union for Conservation of Nature. Across all 9,506 species sequenced, over 3,400 came from material sourced from 163 herbaria in 48 countries. Additional material from plant collections around the world such as DNA banks, seeds, and living collections have been vital for filling key knowledge gaps to shed new light on the history of flowering plant evolution. The team also benefited from publicly available data for over 1,900 species, highlighting the value of the open-science approach to future genomic research. Illuminating Darwin’s “Abominable Mystery” Flowering plants account for about 90 percent of all known plant life on land and are found virtually everywhere on the planet—from the steamiest tropics to the rocky outcrops of the Antarctic Peninsula. And yet our understanding of how these plants came to dominate the scene soon after their origin has baffled scientists for generations, including Charles Darwin. Flowering plants originated over 140 million years ago after which they rapidly overtook other vascular plants, including their closest living relatives—the gymnosperms, non-flowering plants that have naked seeds such as cycads, conifers, and ginkgo. Darwin was mystified by the seemingly sudden appearance of such diversity in the fossil record. In an 1879 letter to Joseph Dalton Hooker, his close confidant and Director of the Royal Botanic Gardens, Kew, he wrote, “The rapid development as far as we can judge of all the higher plants within recent geological times is an abominable mystery.” Using 200 fossils, the researchers scaled their tree of life to time, revealing how flowering plants evolved across geological time. They found that early flowering plants exploded in diversity, giving rise to over 80 percent of the major lineages that exist today shortly after their origin. However, this trend then declined to a steadier rate for the next 100 million years until another surge in diversification about 40 million years ago, coinciding with a global decline in temperatures. These new insights would have fascinated Darwin and will surely help today’s scientists grappling with the challenges of understanding how and why species diversify. Assembling a tree of life this extensive would have been impossible without the collaboration of scientists across the globe. In total, 279 authors were involved in the research, representing many different nationalities from 138 organizations in 27 countries. International collaborators shared their unique botanical expertise as well as many invaluable plant samples from around the world that could not be obtained without their help. The comprehensive nature of the tree is in no small part a result of this wide-ranging partnership. “Efforts like this show how the international scientific community can come together to collaborate and produce something that no one research group or institution can do alone,” Dr. Michelangeli said. Putting the Flowering Plant Tree of Life to Good Use The flowering plant tree of life has enormous potential in biodiversity research. This is because, just as one can predict the properties of an element based on its position in the periodic table, the location of a species in the tree of life allows scientists to predict its properties. The new data will thus be invaluable for enhancing many areas of science and beyond. To enable this, the tree and all of the data that underpin it have been made openly and freely accessible to both the public and scientific community, including through the Kew Tree of Life Explorer. The study’s authors believe such open access is key to democratizing access to scientific data across the globe. Open access will also help scientists to make the best use of the data such as combining it with artificial intelligence to predict which plant species may include molecules with medicinal potential. Similarly, the tree of life can be used to better understand and predict how pests and diseases might affect the world’s plants in the future. Ultimately, the authors note, the applications of the data will be driven by the ingenuity of scientists. Reference: “Phylogenomics and the rise of the angiosperms” by Alexandre R. Zuntini, Tom Carruthers, Olivier Maurin, Paul C. Bailey, Kevin Leempoel, Grace E. Brewer, Niroshini Epitawalage, Elaine Françoso, Berta Gallego-Paramo, Catherine McGinnie, Raquel Negrão, Shyamali R. Roy, Lalita Simpson, Eduardo Toledo Romero, Vanessa M. A. Barber, Laura Botigué, James J. Clarkson, Robyn S. Cowan, Steven Dodsworth, Matthew G. Johnson, Jan T. Kim, Lisa Pokorny, Norman J. Wickett, Guilherme M. Antar, Lucinda DeBolt, Karime Gutierrez, Kasper P. Hendriks, Alina Hoewener, Ai-Qun Hu, Elizabeth M. Joyce, Izai A. B. S. Kikuchi, Isabel Larridon, Drew A. Larson, Elton John de Lírio, Jing-Xia Liu, Panagiota Malakasi, Natalia A. S. Przelomska, Toral Shah, Juan Viruel, Theodore R. Allnutt, Gabriel K. Ameka, Rose L. Andrew, Marc S. Appelhans, Montserrat Arista, María Jesús Ariza, Juan Arroyo, Watchara Arthan, Julien B. Bachelier, C. Donovan Bailey, Helen F. Barnes, Matthew D. Barrett, Russell L. Barrett, Randall J. Bayer, Michael J. Bayly, Ed Biffin, Nicky Biggs, Joanne L. Birch, Diego Bogarín, Renata Borosova, Alexander M. C. Bowles, Peter C. Boyce, Gemma L. C. Bramley, Marie Briggs, Linda Broadhurst, Gillian K. Brown, Jeremy J. Bruhl, Anne Bruneau, Sven Buerki, Edie Burns, Margaret Byrne, Stuart Cable, Ainsley Calladine, Martin W. Callmander, Ángela Cano, David J. Cantrill, Warren M. Cardinal-McTeague, Mónica M. Carlsen, Abigail J. A. Carruthers, Alejandra de Castro Mateo, Mark W. Chase, Lars W. Chatrou, Martin Cheek, Shilin Chen, Maarten J. M. Christenhusz, Pascal-Antoine Christin, Mark A. Clements, Skye C. Coffey, John G. Conran, Xavier Cornejo, Thomas L. P. Couvreur, Ian D. Cowie, Laszlo Csiba, Iain Darbyshire, Gerrit Davidse, Nina M. J. Davies, Aaron P. Davis, Kor-jent van Dijk, Stephen R. Downie, Marco F. Duretto, Melvin R. Duvall, Sara L. Edwards, Urs Eggli, Roy H. J. Erkens, Marcial Escudero, Manuel de la Estrella, Federico Fabriani, Michael F. Fay, Paola de L. Ferreira, Sarah Z. Ficinski, Rachael M. Fowler, Sue Frisby, Lin Fu, Tim Fulcher, Mercè Galbany-Casals, Elliot M. Gardner, Dmitry A. German, Augusto Giaretta, Marc Gibernau, Lynn J. Gillespie, Cynthia C. González, David J. Goyder, Sean W. Graham, Aurélie Grall, Laura Green, Bee F. Gunn, Diego G. Gutiérrez, Jan Hackel, Thomas Haevermans, Anna Haigh, Jocelyn C. Hall, Tony Hall, Melissa J. Harrison, Sebastian A. Hatt, Oriane Hidalgo, Trevor R. Hodkinson, Gareth D. Holmes, Helen C. F. Hopkins, Christopher J. Jackson, Shelley A. James, Richard W. Jobson, Gudrun Kadereit, Imalka M. Kahandawala, Kent Kainulainen, Masahiro Kato, Elizabeth A. Kellogg, Graham J. King, Beata Klejevskaja, Bente B. Klitgaard, Ronell R. Klopper, Sandra Knapp, Marcus A. Koch, James H. Leebens-Mack, Frederic Lens, Christine J. Leon, Étienne Léveillé-Bourret, Gwilym P. Lewis, De-Zhu Li, Lan Li, Sigrid Liede-Schumann, Tatyana Livshultz, David Lorence, Meng Lu, Patricia Lu-Irving, Jaquelini Luber, Eve J. Lucas, Manuel Luján, Mabel Lum, Terry D. Macfarlane, Carlos Magdalena, Vidal F. Mansano, Lizo E. Masters, Simon J. Mayo, Kristina McColl, Angela J. McDonnell, Andrew E. McDougall, Todd G. B. McLay, Hannah McPherson, Rosa I. Meneses, Vincent S. F. T. Merckx, Fabián A. Michelangeli, John D. Mitchell, Alexandre K. Monro, Michael J. Moore, Taryn L. Mueller, Klaus Mummenhoff, Jérôme Munzinger, Priscilla Muriel, Daniel J. Murphy, Katharina Nargar, Lars Nauheimer, Francis J. Nge, Reto Nyffeler, Andrés Orejuela, Edgardo M. Ortiz, Luis Palazzesi, Ariane Luna Peixoto, Susan K. Pell, Jaume Pellicer, Darin S. Penneys, Oscar A. Perez-Escobar, Claes Persson, Marc Pignal, Yohan Pillon, José R. Pirani, Gregory M. Plunkett, Robyn F. Powell, Ghillean T. Prance, Carmen Puglisi, Ming Qin, Richard K. Rabeler, Paul E. J. Rees, Matthew Renner, Eric H. Roalson, Michele Rodda, Zachary S. Rogers, Saba Rokni, Rolf Rutishauser, Miguel F. de Salas, Hanno Schaefer, Rowan J. Schley, Alexander Schmidt-Lebuhn, Alison Shapcott, Ihsan Al-Shehbaz, Kelly A. Shepherd, Mark P. Simmons, André O. Simões, Ana Rita G. Simões, Michelle Siros, Eric C. Smidt, James F. Smith, Neil Snow, Douglas E. Soltis, Pamela S. Soltis, Robert J. Soreng, Cynthia A. Sothers, Julian R. Starr, Peter F. Stevens, Shannon C. K. Straub, Lena Struwe, Jennifer M. Taylor, Ian R. H. Telford, Andrew H. Thornhill, Ifeanna Tooth, Anna Trias-Blasi, Frank Udovicic, Timothy M. A. Utteridge, Jose C. Del Valle, G. Anthony Verboom, Helen P. Vonow, Maria S. Vorontsova, Jurriaan M. de Vos, Noor Al-Wattar, Michelle Waycott, Cassiano A. D. Welker, Adam J. White, Jan J. Wieringa, Luis T. Williamson, Trevor C. Wilson, Sin Yeng Wong, Lisa A. Woods, Roseina Woods, Stuart Worboys, Martin Xanthos, Ya Yang, Yu-Xiao Zhang, Meng-Yuan Zhou, Sue Zmarzty, Fernando O. Zuloaga, Alexandre Antonelli, Sidonie Bellot, Darren M. Crayn, Olwen M. Grace, Paul J. Kersey, Ilia J. Leitch, Hervé Sauquet, Stephen A. Smith, Wolf L. Eiserhardt, Félix Forest and William J. Baker, 24 April 2024, Nature. DOI: 10.1038/s41586-024-07324-0
A study highlights the cerebellum’s role in learning and movement through “zombie neurons,” uncovering how these functionally altered but alive neurons are vital for associative learning signals. Nestled at the back of your head, the cerebellum is a brain structure that plays a pivotal role in how we learn, adapting our actions based on past experiences. Yet the precise ways in which this learning happens are still being defined. A study led by a team at the Champalimaud Foundation brings new clarity to this debate, with a serendipitous finding of so-called “zombie neurons.” These neurons, alive but functionally altered, have helped to advance our understanding of the cerebellum’s critical teaching signals. The word “cerebellum” means “little brain,” despite the fact that it holds more than half the brain’s neurons. It is essential for coordinating movements and balance, helping you perform everyday tasks smoothly, like walking down a crowded street, or playing sports. It is also crucial for the learning process that allows you to associate sensory cues with specific actions. Every time you pick up a cup without spilling its contents, effortlessly adjusting the amount of force you apply based on the weight of the container and how full it is, you’re experiencing the consequences of the cerebellum’s ability to link visual signals with corresponding movement responses. The brain’s “teaching signals” For learning to take place, the cerebellum continuously monitors the outside world and the outcome of movements that we make within it. When we make a mistake, information about our errors can be used to adjust the strength of brain connections, leading over time to changes in our behavioral responses to specific cues. However, it is not known exactly how such “error” or “teaching signals” are represented within the brain to drive learned changes in behavior. The latest research from the Champalimaud Foundation’s Carey Lab, published in Nature Neuroscience, provides compelling evidence that activity in a specific class of cerebellar inputs, called climbing fibers, are absolutely essential for associative learning to occur. To examine the role of climbing fibers and their targets, cerebellar Purkinje cells, in learning, the researchers designed an experiment involving mice. They used a common learning task known as eyeblink conditioning. In this task, a mouse learns to blink in response to a certain signal, such as a light, which precedes an event, typically a gentle puff of air aimed at its eye. The animals then display associative learning, learning to link a sensory signal with an adaptive movement response, in this case, blinking. Climbing fibers, in the form of ivy, wrap around the branches of a Purkinje cell-shaped tree, within the vibrant courtyard of a school populated by mice. The illustration captures the essential role of climbing fibers as teaching signals for associative cerebellar learning. Credit: Rita Felix “In our experiment,” explains Dr. Tatiana Silva, the study’s first author, “we used a technique called optogenetics. This method functions like a highly precise remote control for brain cells, using light to turn on or off certain cells of interest at extremely specific times.” Silva continues, “Climbing fibers normally respond to sensory stimuli like a puff of air to the eye. By precisely activating these fibers with optogenetics, we were able to trick the mouse into thinking it had received an air puff, when in fact it had not. After we consistently stimulated climbing fibers during the presentation of a visual cue, the mice learned to blink in response to that cue – even in the absence of stimulation. This proved that these fibers are sufficient to drive this type of associative learning.” The authors were further able to show that climbing fibers are also necessary for associative learning. “When we used optogenetics to selectively silence climbing fibers during the presentation of an actual air puff,” Silva reveals, “the mice completely failed to learn to blink in response to the visual cue.” Carey’s team similarly manipulated a number of other types of brain cells within the cerebellum, but found that none of them were able to provide such reliable teaching signals for learning. The Emergence of “Zombie Neurons” Looking more closely at some of their data, the researchers discovered an unexpected twist. In order to manipulate climbing fiber activity using optogenetics, they had used genetic tools to express a light-sensitive protein called Channelrhodopsin-2 (ChR2) in those neurons. Surprisingly, they found that when they tried to teach the ChR2-expressing mice using the traditional air puff method, the animals completely failed to learn. As Carey explains, after systematic recordings of neural activity from the cerebella of these mice, “It turned out that introducing ChR2 into the climbing fibers altered their natural properties, preventing them from responding appropriately to standard sensory stimuli like air puffs. This, in turn, completely blocked the animals’ ability to learn”. “The remarkable thing,” says Silva, “was that these same mice learned perfectly well when we paired climbing fiber stimulation, instead of an air puff, to a visual cue.” Unintentionally, the team had achieved a long-standing objective in neuroscience: to modulate specific patterns of activity within specific neurons without entirely shutting down their communication, resulting in a more natural intervention to elucidate their causal role. In other words, although the climbing fibers remained spontaneously active and were clearly otherwise functional, their altered encoding of sensory stimuli left animals totally unable to learn the task. This led Silva to dub them “zombie neurons”: functionally alive but not interacting with the brain circuit as usual. Due to the subtlety of the unexpected effects of ChR2 expression in climbing fibers, Dr. Megan Carey says, “These results serve as the most compelling evidence to date that climbing fiber signals are essential for cerebellar associative learning. Our next steps involve understanding why ChR2 expression leads to the ‘zombification’ of neurons and determining whether our findings extend to other forms of cerebellar learning”. Even the undead, it seems, have something to teach us about the world of the living Reference: “Climbing fibers provide essential instructive signals for associative learning” by N. Tatiana Silva, Jorge Ramírez-Buriticá, Dominique L. Pritchett and Megan R. Carey, 2 April 2024, Nature Neuroscience. DOI: 10.1038/s41593-024-01594-7
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