1. graphpad鎬庝箞瀵煎嚭鍥剧墖
graphpad杞浠跺彲浠ュ府鍔╃敤鎴蜂滑瀵瑰悇绉嶅浘褰㈣繘琛屼笓涓氱殑鍒朵綔銆備絾鏄寰堝氱殑灏忎紮浼翠滑琛ㄧず锛岃嚜宸卞埗浣滃ソ鐨勫浘涓嶇煡閬撴庝箞瀵煎嚭锛岃╂垜涓璧锋潵鐪嬬湅graphpad鎬庝箞瀵煎嚭鍥剧墖鍚с
graphpad鎬庝箞瀵煎嚭鍥剧墖
1銆佽繖閲屼互銆怗raphpadprism5.0銆戣蒋浠讹紝浣滀负渚嬪瓙灞曠ず銆
2銆佺偣鍑汇恈reate銆戯紝鍑嗗囧埗浣滀竴涓鍥剧墖銆
3銆佸悓鏍风殑鍦ㄣtitle銆戜腑杈撳叆缁勫埆锛岀劧鍚庡湪涓嬫柟绌烘牸澶勮緭鍏ユ暟鎹銆
4銆佺偣鍑汇怗raphs涓嬫柟鐨刣ata1銆戯紝杈撳叆鍥剧墖銆
5銆佺偣寮銆宸ュ叿鏍銆戦偅涓鎺掔殑杈撳嚭鍥炬爣锛Export锛夈
6銆佹帴鐫鐐瑰嚮銆恌ileformat銆戜笅鏂规敼鎴愪綘鎯宠佷繚瀛樼殑鏍煎紡锛岄夋嫨銆tiff鎴栬匤PG鏍煎紡銆戯紝杩欓噷閫夋嫨tiff鏍煎紡銆
7銆併dpi銆戞槸鍒嗚鲸鐜囩殑鎰忔濓紝閫300锛屽浘鐗囦細姣旇緝娓呮櫚銆
搴曚笅鐨勩folder銆戞寚鐨勬槸杈撳嚭鐨勬枃浠跺す锛屽彲浠ユ崲鎴愪綘鎯宠佽緭鍑虹殑浣嶇疆銆
鐐瑰嚮select锛屾敼鎴愭岄潰銆侳ilename鏄鏂囦欢鍚嶇О锛屽彲浠ラ殢鎰忎慨鏀广
8銆佸畨涓婂浘鎵鎸囩ず鐨勬搷浣滐紝鏈鍚庣偣鍑汇恛k銆戝氨鍙浠ュ湪妗岄潰寰楀埌浣犺佺殑鍥句簡銆
2. GraphPadPrism閲屽備綍鍒朵綔瀵规暟鍧愭爣鐨勫浘琛
杩欑瘒鏂囩珷锛屾垜浠浠嬬粛涓涓嬪備綍璁╁浘琛ㄥ潗鏍囪酱浠ュ规暟涓哄埢搴︽樉绀猴紙鍙鏄鏄剧ず鏂瑰紡鐨勫樊鍒锛岃繖绉嶆搷浣滀笉浼氭敼鍙樹綘鐨勬暟鎹锛夛紝浠ュ強濡備綍灏嗗師濮嬫暟鎹杞鎹涓哄规暟銆
鍒涘缓涓涓瀵规暟鍒诲害鍧愭爣杞
鍦ㄨ酱涓婂弻鍑绘墦寮Format Axes瀵硅瘽妗嗐愬潗鏍囪酱鏍煎紡銆戙傚湪Scale涓嬫媺鍒楄〃涓锛屽皢杞磋剧疆涓篖og10鎴朙og2鎴朙n(鑷鐒跺规暟)銆
涓嬪浘涓鏄剧ず鐨勬槸浠Log10涓洪棿闅斿埢搴︾殑x杞寸殑鏍峰瓙銆10鍜100涔嬮棿闂撮殧鍒嗗埆琛ㄧず浜唋og20銆30銆40銆50銆60銆70銆80鍜90鐨勪綅缃锛岃繖浜涘埢搴︿箣闂寸殑闂磋窛涓嶄竴鏍凤紝杩欐槸瀵规暟鐨勭壒鎬у喅瀹氱殑銆傦紙涓嬮潰浼氫粙缁嶅備綍鍑忓皯鎴栬呭幓鎺夎繖浜涗腑闂寸殑鍧愭爣锛
褰撶劧锛屾湁鏃跺ぇ瀹跺瑰潗鏍囩殑鏄剧ず鏂瑰紡鏄鏈夎佹眰鐨勶紝鍩轰簬鍑虹増鎴栬呮樉绀虹編瑙傜▼搴︼紝姣斿傜洿瑙傜殑鏉ョ湅鏈夎繖鍑犵嶅潗鏍囨樉绀烘柟寮忥細
鍏蜂綋淇鏀规柟娉曞備笅锛
涓簂og10鍧愭爣杞磋剧疆缂栧彿鏄剧ず鏂瑰紡
鍦ㄨ酱涓婂弻鍑绘墦寮Format Axes瀵硅瘽妗嗐愬潗鏍囪酱鏍煎紡銆戯紝鍦∟umbering Format澶勮剧疆鍧愭爣鏄剧ず鏂瑰紡銆4绉嶇紪鍙锋牸寮忓彲閫夛細
閫嗗规暟锛堢湡鏁帮紝Antilog锛夛細10, 100, 1000, 10000... 绉戝﹁℃暟娉曪紙Scientific锛夛細1x101, 1x102, 1x103, 1x104... 10鐨勫箓锛圥ower of 10锛夛細101, 102, 103, 104... 鑷鐒跺规暟锛圠og锛: 1, 2, 3, 4...涓簂n鍧愭爣杞磋剧疆鍧愭爣鏄剧ず鏂瑰紡
鍦ㄨ酱涓婂弻鍑绘墦寮Format Axes瀵硅瘽妗嗐愬潗鏍囪酱鏍煎紡銆戯紝鍦∟umbering Format澶勮剧疆鍧愭爣鏄剧ず鏂瑰紡銆3绉嶅潗鏍囨牸寮忓彲閫夛細
绉戝﹁℃暟娉曪紙Scientific锛夛細1x101, 1x102, 1x103, 1x104... e鐨勫箓锛圥ower of e锛夛細101, 102, 103, 104... 鑷鐒跺规暟锛圠n锛: 1, 2, 3, 4...涓哄规暟鍧愭爣杞磋剧疆鍒诲害闂撮殧锛圡inor ticks锛
鍦ㄨ酱涓婂弻鍑绘墦寮Format Axes瀵硅瘽妗嗐愬潗鏍囪酱鏍煎紡銆戯紝鍦∕inor ticks涓嬫媺鍒楄〃涓閫夋嫨闇瑕佹樉绀虹殑鍒诲害鏁伴噺銆
濂藉暒锛岀幇鍦ㄦ湁鍚屽︿細闂浜嗭紝 鎴戜笉鍙鏄瑕佷綔鍥剧殑鏃跺欑敤瀵规暟锛屾垜闇瑕佹妸杈撳叆鐨勬暟鎹鍙樹负瀵规暟锛屾垜瑕侀愪釜璁＄畻鎵嬪伐杈撳叆鍚楋紵鏈夋病鏈夋洿鏂逛究鐨勬柟娉曞憿锛熸湁锛佷綘瑕佺敤鍒板规暟杞鎹㈠姛鑳姐
鎵嬪伐杈撳叆 VS 瀵规暟杞鎹
涓句釜渚嬪瓙锛屼綘闇瑕佸皢S鍨嬪墏閲忔晥搴旀柟绋嬫嫙鍚堝埌鐢╔锛堟í鍧愭爣锛夎〃绀哄墏閲忓规暟鐨勬暟鎹銆傚傛灉杈撳叆娴撳害锛屽垯闇瑕佸湪浣跨敤闈炵嚎鎬у洖褰掍箣鍓嶅皢鍏惰浆鎹涓哄规暟銆
濡備綍鎿嶄綔锛
鍗曞嚮鍒嗘瀽鎸夐挳锛岄夋嫨鍐呯疆鍒嗘瀽锛岀劧鍚庝粠鏁版嵁鎿嶄綔鍒楄〃涓閫夋嫨鍙樻崲銆傞夋嫨X = log锛圶锛夈杩樿侀変腑瀵硅瘽妗嗗簳閮ㄧ殑妗嗕互鍒涘缓缁撴灉鐨勬柊鍥撅紙Create a new graph of the results锛夈侾rism灏嗗垱寤鸿浆鎹㈠悗鏁版嵁鐨勭粨鏋滆〃鍜屼竴涓鏂板浘锛岃繖鏍峰仛鐨勫ソ澶勬槸浣犵殑鍘熷嬫暟鎹涓嶄細鏀瑰彉锛屽湪鏂扮殑缁撴灉鍖鸿〃涓锛岄噸鏂版墽琛孉nalyze 鍜岄潪绾挎у洖褰掑惂銆
瀵规暟鏁版嵁鐨勭粯鍥炬柟娉
濡傛灉浠ュ规暟褰㈠紡杈撳叆浜嗘暟鎹锛屾垨鐢ㄥ规暟杞鎹㈠悗鐨勬暟鎹缁樺浘鏃讹紝鍒欏簲浣跨敤绾挎у潗鏍囷紝娉ㄦ剰涓嶈佸啀閫夋嫨瀵规暟鍒诲害鍟︼紒鎮ㄧ殑鏁版嵁宸茬粡鏄瀵规暟銆傚弬鐓т笂鏂囩殑浠嬬粛閲嶆柊璁剧疆鍧愭爣杞村潗鏍囥
鏀惧嚑涓绠鍗曠殑渚嬪瓙甯鍔╁ぇ瀹剁悊瑙ｏ細
渚嬩竴锛氫笅鍥撅紝X鍊艰〃绀烘祿搴︾殑瀵规暟銆傚规暟鍊煎凡缁忕洿鎺ヨ緭鍏ュ埌鏁版嵁琛ㄧ殑X鍒椾腑銆俋杞存槸绾挎у埢搴︼紝璇ヨ酱浣跨敤10鐨勫箓鐨勭紪鍙锋牸寮忥紝骞朵互9涓杈冨皬鐨勫规暟鍒诲害闂撮殧銆
渚嬩簩锛氫笅鍥撅紝鏁版嵁涓哄规暟鐨勫彟涓绉嶅睍绀烘柟娉曟槸閫夋嫨閫嗗规暟锛堢湡鏁帮級鍧愭爣锛堜粎褰撻棿闅斾负1鏃讹紝鏀鎸乕-9, 9]锛屾ら夋嫨鎵嶅彲鐢锛
3. GraphPadPrism涓鐨勫崟鍥犵礌鏂瑰樊鍒嗘瀽杩欐牱鐢
1. 鎵撳紑GraphPad杞浠讹紝渚濇＄偣鍑籆olumn,閭ｄ釜鏌辩姸鍥剧殑鍥炬堬紙杩欐牱鏈鍚庡仛鍑烘潵灏辨槸鏌辩姸鍥撅紝褰撶劧涔熷彲浠ユ牴鎹鑷宸辩殑闇瑕侀夋嫨鍏朵粬鍥炬堬紝鏈鏈熷规や笉鍋氳ㄨ猴級锛宮ean with SEM(甯哥敤锛屽綋鐒跺叾浠栭夐」涔熷彲浠)锛岀劧鍚庣偣鍑籆reate銆
2. 灏嗛渶瑕佹瘮杈冪殑涓夌粍鎴栬呭氱粍鏁版嵁鎸夊垪鍒嗗埆杈撳叆A鍒楋紝B鍒楋紝C鍒楋紝浠ユょ被鎺ㄣ
3. 鐐瑰嚮涓婂浘涓鐨凙nalyze,鍑虹幇濡備笅鐣岄潰锛岀偣鍑籆olumn analyses鍓嶇殑+鍙凤紝鐐瑰嚮One-way ANOVA (and nonparametric),鐐瑰嚮ok銆
4. 杩欓噷缁欏嚭浜嗗洓绉嶉夐」锛屾垜浠鍒嗗埆鐪嬩竴涓嬪悇涓閫夐」鐨勯傜敤鎯呭喌锛
One-way analysis of variance:鍚勭粍鏁版嵁涔嬮棿婊¤冻鐙绔嬫э紝姝ｆ佹э紝鏂瑰樊榻愭
Kruskal-wallis test:鍚勭粍鏁版嵁涔嬮棿婊¤冻鐙绔嬫э紝浣嗕笉婊¤冻姝ｆ佸垎甯
Friedman test: 鍚勭粍鏁版嵁涔嬮棿涓嶇嫭绔嬶紝涔熶笉婊¤冻姝ｆ佸垎甯
Repeated measures ANOVA: 鍚勭粍鏁版嵁涔嬮棿涓嶇嫭绔嬶紝鏁版嵁涔嬮棿瀛樺湪閲嶅嶅害閲忕殑鎯呭喌
涓轰簡鏇村ソ鍦扮悊瑙Friedman test鍜孯epeated measures ANOVA鐨勯傜敤鎯呭喌锛屾垜浠涓惧備笅渚嬪瓙杩涜岃存槑锛堝弬鑰冪綉涓婅祫鏂欙紝鐐瑰嚮闃呰诲叏鏂囨煡鐪嬪師鏂囷級锛
2010 骞翠笘鍗氫細鏈熼棿锛屽弬瑙備汉鏁颁紬澶氾紝涓轰簡姣旇緝鍚勪釜鏃堕棿娈电殑鍏ュ洯浜烘暟鏈夋棤宸鍒锛屾敹闆嗕簡浠ヤ笅鐨勬暟鎹锛
a锛氳ユ棩12-14鐐圭殑鍏ュ洯浜烘暟
b锛氳ユ棩14-16鐐圭殑鍏ュ洯浜烘暟
c锛氳ユ棩16-18鐐圭殑鍏ュ洯浜烘暟
d锛氳ユ棩18-20鐐圭殑鍏ュ洯浜烘暟
鍒嗘瀽涓婅堪鍥涗釜鏃堕棿娈电殑鍏ュ洯浜烘暟鏈夋棤宸寮傘傛樉鐒讹紝鍥涚粍鏁版嵁骞朵笉鐙绔嬶紝涓嶈兘婊¤冻鏅閫氭柟宸鍒嗘瀽鐨勬潯浠讹紝鍙浠ヤ娇鐢ㄩ噸澶嶆祴閲忕殑鏂瑰樊鍒嗘瀽銆備絾鑰冭檻鍒板叆鍥浜烘暟娉㈠姩澶э紝瀛樺湪鏋佺鍊硷紝閲囩敤Friedman妫楠屾洿涓哄悎閫傘
鎬讳箣瑕佹牴鎹鍘熷嬫暟鎹鐨勬儏鍐甸夋嫨涓绉嶆渶鍚堥傜殑妫楠屾柟娉曘
4. 濡備綍鍒╃敤GraphPad Prism杞浠跺垎鏋怮PCR鏁版嵁
绗涓姝ワ細鍦ㄧ數鑴戜笂瀹夎呭ソGraphPad Prism杞浠讹紝瀹夎呮よ蒋浠跺湪鐧惧害涓婂彲浠ヤ笅杞斤紝涓鑸涓嬭浇GraphPad Prism5涓鏂囩増鐨勩
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浜屾ワ細瀹屾垚绗涓姝ュ悗鍦ㄧ數鑴戜笂鎵撳紑GraphPad Prism杞浠讹紝浼氬脊鍑哄硅瘽妗唚elcome to GraphPad
Prism锛岀偣鍑诲乏杈圭殑Column锛岄夋嫨鍙宠竟鐨刢hoose a graph绗涓鎺掔殑绗鍥涗釜鏌卞舰鍥俱傚叾浠栭儴浣嶄笉闇瑕佷慨鏀癸紝鐐瑰嚮鍙充笅瑙掔殑Create銆
绗涓夋ワ細绗浜屾ョ粨鏉熷悗浼氬脊鍑轰竴涓鏂扮殑瀵硅瘽妗嗭紝鎺ョ潃浣犲湪ABCD绛夌瓑閭ｄ竴鎺掔殑涓嬮潰鐨勭┖鐧芥嗛噷闈㈣緭鍏ヤ綘鐨勫疄楠屽垎缁勶紙姣斿侰ontrol锛孲ample缁勪箣绫荤殑锛屼互Control缁勫拰EAE缁勪负渚嬶級銆
绗鍥涙ワ細绗涓夋ョ粨鏉熶箣鍚庯紝寰瀹為獙鍒嗙粍瀵瑰簲鐨勪笅鏂规坊鍔犱綘鐨凲PCR瀹為獙鏁版嵁銆傜偣鍑籊raphs搴曚笅鐨凞ata-1銆備細寮瑰嚭浣犵殑瀹為獙缁撴灉鏌辩姸鍥俱
绗浜旀ワ細灏哫-title鍒犳帀锛孻-title鏀规垚QPCR鐨凴elative Expression锛屾妸Data-1鏀规垚浣犺捐＄殑寮曠墿锛屾瘮濡俹ccludin銆
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鍏姝ワ細缁撴潫绗浜旀ュ悗寮濮嬭繘琛岀粺璁″﹀垎鏋愩傜偣鍑诲乏涓婃柟Analysis涓嬮潰鐨凙nalyze銆備細寮瑰嚭Analyze Data鐨勫硅瘽妗嗐傚皢Column
analyses涓嬮潰鏀规垚t test锛坅nd nonparametric
tests锛夛紝鐐瑰嚮OK鍑虹幇鏂板硅瘽妗嗭紝鍐嶇偣鍑籓K锛屽嚭鐜版柊瀵硅瘽妗嗭紝涓婇潰鏄剧ずp value
summary涓轰笁棰楁槦锛屽嵆浠ｈ〃璇ユ暟鎹鍏锋湁缁熻″︽剰涔夛紝骞朵笖涓轰笁棰楁槦銆
绗涓冩ワ細杩斿洖灞炴у浘鏁版嵁銆傚嵆鐐瑰嚮宸﹁竟鐨凣raphs涓嬮潰鐨凞ata 1锛岀偣鍑绘渶涓婇潰鐨凞raw涓嬮潰妯绾匡紝閫夋嫨妯绾匡紝鐐瑰嚮Write涓嬮潰鐨勯粦浣撳瓧T锛屽湪妯绾夸笂闈㈡爣璁版槦鍙锋垨鑰卬s鍗冲彲銆傝ヤ緥瀛愰噷鐨勭粺璁″﹀垎鏋愪负3棰楁槦銆傚畬缇庣殑QPCR鏁版嵁鍒嗘瀽鍥惧氨鍋氬嚭鏉ュ暒銆