Literature DB >> 15629050

Identification and characterization of 177 unreported genes associated with liver regeneration.

Cunshuan Xu1, Cuifang Chang, Jinyun Yuan, Hongpeng Han, Kejin Yang, Lifeng Zhao, Wenqiang Li, Yuchang Li, Huiyong Zhang, Salman Rahman, Jingbo Zhang.   

Abstract

The mammalian liver has a very strong regeneration capacity after partial hepatectomy (PH). To further learn the genes participating in the liver regeneration (LR), 551 cDNAs selected from subtracted cDNA libraries of the regenerating rat liver were screened by microarray, and their expression profiles were studied by cluster and generalization analyses. Among them, 177 genes were identified unreported and up- or down-regulated more than twofold at one or more time points after PH, of which 62 genes were down-regulated to less than 0.5; 99 genes were up-regulated to 2-10 folds, and 16 genes were either up- or down-regulated at different time points during LR. By using BLAST and GENSCAN, these genes were located on responsible chromosomes with 131 genes on the long arms of the chromosomes. The cluster and generalization analyses showed that the gene expression profiles are similar in 2 and 4, 12 and 16, 96 and 144 h respectively after PH, suggesting that the actions of the genes expressed in the same profiles are similar, and those expressed in different profiles have less similarity. However, the types, characteristics and functions of the 177 genes remain to be further studied.

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Year:  2004        PMID: 15629050      PMCID: PMC5172454          DOI: 10.1016/s1672-0229(04)02016-9

Source DB:  PubMed          Journal:  Genomics Proteomics Bioinformatics        ISSN: 1672-0229            Impact factor:   7.691


Introduction

In the healthy adult rat liver, liver is a quiescent organ with >90% of the cells present in the G0 stage of the cell cycle, and their division index is very low (about 1/100600; ref. 1., 2., 3.). However, adult hepatocytes have enormous ability to proliferate in response to liver injury. After 70% partial hepatectomy (PH), hepatocytes in remained liver enter the cell cycle in a highly synchronized manner and undergo 1 to 2 times of cell division, then re-differentiate and rebuild the structure and function of the liver 4., 5.. In the different phases of the liver regeneration (LR), the physiological and biochemical actions of different kinds of liver cells are different, and the categories and amounts of the expressed genes in the regenerating liver are various 6., 7.. It means that PH leads to an orchestrated regenerative response, activating a cascade of cell signaling events, which are necessary for cell cycle progression of hepatocytes and liver regeneration (. It has been suggested that liver regeneration must be involved in numerous genes 9., 10.. For this, we applied suppressive subtractive hybridization, largescale gene expression analysis, complementary DNA microarrays and bioinformatics to confirm how many genes are involved in liver regeneration after PH 11., 12..

Results

The genes expressed in liver regeneration

3,205 expressed sequence tags (ESTs) that were expressed highly and specifically in the regenerating rat liver after PH were screened by suppression subtractive hybridization (SSH). 551 of them were selected to make cDNA microarray, of which 177 genes were identified unreported and up- or down-regulated more than twofold at one or more time points. According to their expression characteristics at different time points during LR, the genes were categorized into six groups: (1) expressed in the immediate early phase (IEP, 2–4 h after PH), of which expression of 23 genes were altered. Among them, 15 were up-regulated, 5 down, and 3 showed either up or down at different time points; (2) expressed in the early phase (EP, 4–8 h after PH), of which expression of 38 genes were altered. Among them, 17 were up-regulated, 18 down, and 3 either up or down at different time points; (3) expressed in the intermediate phase (IP, 12–24 h after PH), of which expression of 65 genes were altered. Among them, 39 were up-regulated, 22 down, and 4 either up or down at different time points; (4) expressed in the early-late phase (ELP, 24–36 h after PH), of which expression of 20 genes were altered. Among them, 12 were up-regulated, 3 down, and 5 either up or down at different time points; (5) expressed in the late phase (LP, 48–72 h after PH), of which expression of 27 genes were altered. Among them, 16 were up-regulated and 10 down, and 1 either up or down at different time points; (6) expressed in the terminal phase (TP, 96–144 h after PH), of which expression of 4 genes were altered. Among them, 4 were down-regulated (Figure 1). These results showed that 62 genes were down-regulated, 99 genes up to 2–10 folds, and 16 genes either up or down at different time points during LR.
Fig. 1

Genes expressed at different time points of liver regeneration.

Chromosome location of the genes expressed in liver regeneration

The chromosome location of the 177 genes was analyzed by using BLAST (http://www.ncbi.nlm.nih.gov/BLAST/) and GENSCAN (http://genes.mit.edu/GENSCAN.html/) (Table 1). These results showed that 131 genes were located on the long arms of the chromosomes, 25 genes were on the short arms, while the chromosome location of 21 genes was not clear.
Table 1

Chromosome Location and Expression of the Genes Related with Liver Regeneration

Chr. No.Genes in Chr.
The expressed genes in LR after PH
Totallong armshort arm2-4 h (IEP)4-8 h (EP)12-24 h (IP)24-36 h (ELP)48-72 h (LP)96-144 h (TP)
updownbothupdownbothupdownbothupdownbothupdownbothupdownboth
119163134341111
215151135311
3862121211
488111311
588161
666111111
788211211
8771213
988212111
1011111213211
115412111
122211
1395421111111
1431221
156243111
16431211
1720211
18523113
19862112121
20321111
X11111222112
Y
N/A21N/AN/A413311341
total17713125155317183392241235161014

Structure of the expressed genes in liver regeneration

The structure of the 177 genes was analyzed by using BLAST and GENSCAN (Table 2). These results showed that 52 genes were made up of ≥10 extrons, 102 genes ≤9 extrons, while the structure of 23 genes was unclear.
Table 2

Structure and Expression Differences of the Genes Related with Liver Regeneration

No.Gene descriptionChromosome locationSectionORFExtronGenebank number of CDSGenebank number of ESTHours after PHFold difference
1BAC CH230-7A22195964-1959652151E5AC095402AA8181228-360.1
2LRRP Ab1-3461p1135486309-355863092421E11AY325159CD05221312-360.3
3BAC CH230-329D31p1218210650-183106506129E14AC112406BQ4010828-722.4
4BAC CH230-372C241q1272808754-731676792262E4AC127734AW9174208-160.1
5BAC CH230-203P111q1268519037-68619038309E2AY310139CB81679524-362.5
6LRRP Ab2-4401q2178488239-78946203N/AN/AN/AN/A4-120.3
7LRRP Aa2-0281q2195484635-955846362514E17AY325132CD05217112-242.1
8RIKEN cDNA 4930408O211q33173267794-173367795936E5XM_219288CB96440496-1440.5
9MGC51781q33179502812-179602813738E4XM_215073BE09588912-160.4
10LRRP Aa2-1741q34185927807-1860278082865E19AY325165CD67057612-720.1
11LRRP Cc1-381q35185945986-1860459872865E19AY325244BE09810636-720.2
12LRRP Ab1-1081q37201292805-20139280972E6AY325138CD0521838-962.9
13LRRP Cc1-91q37201346364-2014463651695E16AY325242CB75150816-1442.5
14LRRP Ab2-0511q41213006712-2131067131851E2AY325175CD67049716-720.3, 2.1
15LRRPAb2-1321q41215148584-2152485841038E6AY325192CD6705148-480.1
16D930042H131q42214871327-214971327966E8NM_172442CD6705708-360.3
17LRRP Ac2-0671q43230720781-230820781762E5AY321330CB9644018-242.5
18LRRP Ab2-0011q43230945845-2310458451116E8AY325174CD67048912-480.2
19LOC1193921q53255352678-255452678756E4XM_215260BI285953722.1
20KIAA13762q117086551-71865521245E8XM_226239BQ20097680.4
21CTD-2328C192q1223663004-23763004279E3AC091858CF11074336-960.4, 2.5
22LRRP Cb1-7392q1228737280-28837281780E1AY325235CF11055712-36
23BAC CH230-206C202q1653411577-535115771638E4AC106505CF38494412-1440.3
24RP23-35D42q1654688414-54788414384E3AC127371CB71721716-720.4, 2.8
25LRRP Ac2-0612q2171157011-712570112253E10AY321329CB9234782-167.6
26LRRP Ab2-2252q2277263574-77363574738E5AY325197CD6705268-360.3
27RP23-100C52q2388129644-88229644438E3AL731707BC66883112-243.0
28AW5581712q31147145999-1472459992220E6XM_227217CA50752716-360.3
29BAC CH230-155H42q32162097483-1621974845064E22AC124926CB964413162.2
30LRRP Ab1-2162q3363860581-1701113431512E9AY325153CF38493512-726.8
31LRRP Ac2-1252q34180815021-1809150222640E17AY321335CD3730098-360.3
32129/SvJ BAC, citb585c72q34188600812-188700813228E2AF532116BF2827792-1440.2
33LRRP Ac2-2692q34196174105-1962741051047E10AY321348CB96440224-362.2
34LRRP Ab2-3892q42223465222-2235652231266E8AY325204CD670536240.4
35LRRP Aa2-2583p1115074963-15174963570E4AY325167CD67058148-720.4
36U488283p131148327-1248327573E2XM_238608CD05221412-242.8
37LOC3113043q3494195369-94295370510E1XM_242120CD052158362.0
38LRRP Aa2-2963q35107505568-107605569624E4AY325169CD67058382.0
39LRRP Ab2-3053q41133947234-1340472351173E10AY325201CD67053112-360.4
40LRRP Ab2-3903q41135162327-135262328732E7AY325205CD670552362.1
41RP23-32O93q41138490626-138590626471E4AL845325CB83986224-362.8
42LRRP Ac2-2823q43164743271-164843271660E4AY321349CB9644091440.5
43RIKEN cDNA 1600012F094q2139532872-39632872675E1XM_231479CB75151012-162.4
44RIKEN cDNA 2310036D224q2143050065-431500661047E7XM_231500CB7328218-360.4
45LRRP Ab2-0984q2265863105-659631061188E4AY325190CD6705118
46LRRP Ab2-4274q2369538536-696385362601E15AY325210CD67054312-162.0
47LRRP Aa10764q2485692114-857921142547E17AY318959CD67055848-722.6
48FLJ203564q2785510415-85610415333E4AL731692BQ19647236-1442.7
49MGC109464q44186152493-186252493519E7XM_232511BQ0791862-122.9
50KIAA12304q44191055672-1911556732082E24XM_232536CB96440512-482.6
51BAC CH230-4L11515031-115032612E2AC094527CF3849318-1444.5
52NM-0317065q111448097-1548098690E3XM_237702CF111181242.0
53RP11-281N105q112740845-2840845396E3AC104021AI45450012-1440.3
54LRRP Aa10275q2265424631-65524631408E2AY318964CD67055624-362.1
55LRRP Cc1-65q32126596899-1266968991176E11AY325240CB545374242.1
56RP23-476D165q35150869854-150969854N/AN/AN/ACF59948616-722.4
57LRRP Ab1-2105q36168544019-168644019768E9AY325152CD05220016-362.5
58LRRP Cc2-275q36187026189-1871261903381E25AY325247BE11291216-1442.5
59LRRP Ac1-0606q1323824388-2392438814232E30AY318958CD67055736-720.4, 2.3
60LRRP Ac2-3006q1435606159-357061601131E3AY321351CB96441696-1440.4
61RP23-165H76q2165371357-654713583738E2AC114002CB92345580.5
62LRRP Ab1-3346q31113914082-114014083999E4AY325158CD05221112-962.7
63LRRP Ab1-0466q32123903841-1240038411389E5AY325135CD052177720.5
64LRRP Ab1-0216q32124234183-1244104491836E9AY298742CB7515162-728.1
65LRRP Ac18747q2163885461-639854622349E6AY310161CB92347912-1444.9
66LRRP Ab1-2177q2263865596-639655971512E9AY325153AI0596904-726.2
67LRRP Ac18737q2263882040-639820412349E6AY310161AA9254214-726.0
68LRRP Ac2-2247q3188895265-88995265372E3AY321343CB96437516-482.8
69LRRP Ab1-1527q3288976262-89076263489E4AY325143CD0521922-480.4
70LRRP Ac1-1497q34128444080-1285440811023E11AY321320CF38494772-960.4
71LRRP Cc1-277q35128445472-1285454731203E11AY325130CD05216836-1440.1, 2.1
72LRRP Cc1-287q35128445721-1285457211303E11AY325243CB7846044-480.3, 2.1
73LRRP Ab2-2328q2246442272-465422733258E19AY325198CD67052712-160.2
74LRRP Ab2-0798q2352227696-523276971440E10AY325176CD67050636-482.0
75LRRP Ab2-0958q3198122497-982224971896E11AY325189CD67051072-1443.1
76LRRP Cc1-88q32112340140-1124401402940E23AY325241CF11068472-1442.3
77LRRP Ab2-4178q32112353973-1124539742940E23AY325214CD67054224-720.2
78RIKEN cDNA 1110061A248q32117805127-117905127N/AN/AN/ABM38687916-1443.5
79RIKEN cDNA 2810051A148q32122548903-122648903552E4XM_236668CF110981482.7
80DNA segment (WSU 94)9q1217887320-179873201044E9NM_145353CB96434012-162.7
81DNA segment (WSU 40)9q2140291508-403915081176E11XM_237046CB7333298-1446.1
82LRRP Ac2-1939q2143447192-43547192384E3AY325222CB9643648-362.3
83BAC CH230-211F219q2250485632-505856322697E6AC111460CD670562720.4
84LRRP Ab2-1319q2251455369-515553703498E34AY325191CD6705138-480.3, 2.2
85LRRP Ab1-1199q3392287968-92387969738E3AY325140CD052186362.1
86rp32-28p179q3495678996-957789962433E13AC092530CB7211038-240.3
87LRRP Aa2-1119q38133283544-1333835451692E11AY325162CD6705738-960.2, 2.5
88LRRP Ac115810q112351441-24514411623E10AY310144CB8398388-122.2
89mKIAA066510q1213595294-136952942604E11XM_220262CA94582716-362.6
90LRRP Ac123310q2164598506-646985071422E4AY310149CB8398604-244.2
91LRRP Ac117710q2237322101-37422102189E2AY310147CB83984648-720.4, 3.3
92Open reading frame 3110q2460880930-60980931498E4XM_220705CB96439536-720.3, 2.7
93LRRP Cb1-72710q2461101964-612019642049E17AY325234CD0521598-120.4
94LRRP Aa101810q2462936624-630366241473E8AY318963CD67055524-7210.1
95BAC CH230-403C2010q2669406193-69506194345E2AC118722CD67053312-360.9
96LRRP Ab2-37110q3188515183-886151834923E25AY325211CD67053416-720.4
97LOC30358810q32+192219141-92319142699E3XM_239346CB83987382.0
98LRRP Ac2-21010q32+194976696-95076697663E5AY321338CB96437016-242.4
99LRRP Aa2-06611p117832409-79324091662E10AY325170CD6705678-360.4
100LRRP Ab2-37911q1123912514-240125141608E12AY325203CD67053472-962.2
101LRRP Ab2-09311q1126552957-266529571167E7AY325177CD670509362.1
102LRRP Ab2-41611q1245489717-45589717570E5AY325209CD6705418-360.3
103rA4 (LOC288276)11q2163323657-634236582760E21XM_213658CB767025160.4
104LRRP Ac2-22312q1227587564-276875652427E16AY321342CB96437482.4
105LRRP Ab2-03412q1646993775-470937762796E13AY325182CD6704942-962.3
106LRRP Ab2-1961367592-1675933048E8AY325196CB9643728-360.5, 2.3
107LRRP Ba2-6921368685-1686853048E8AY325232CD0521724-360.6
108LRRP Da2-3513p1125648312-25748313837E6AY325258CB57737648-722.3
109AI25596413p131495219-1595220723E1XM_222300CF38493616-360.4
110LRRP Ab2-14213q1344304354-44404355762E5AY325206CD6705152-40.5
111LRRP Ac2-12013q2270689772-707897726309E23AY321333CB964337360.5
112LRRP Da1-1013q2276465392-765653931203E7AY325249CF41359236-480.4, 2.1
113LRRP Da2-2013q26100465676-100565677663E7AY325255AW53308382.1
114BAC CH230-329A513q27102124785-1022247853315E8AC136091CF111118480.3
115MGC3893714p1135837306-359373072598E4XM_223356N/A12-1442.6
116RP23-480P2114p2212545360-12645361747E6AC121829CF11091412-480.4
117Ab2-45014q2170474767-705747674350E25AY325216CD67054516-362.2
118LRRP Ac2-14315p1148449846-485498471770E10AY321337CB9643478-723.3
119LRRP Ab2-00815p1234809952-349099525052E27AY325180CD67048882.1
120LRRP Bm40320715p1236022558-361225581278E2AY325260CB569793360.5
121RP11-586K215p1418968447-19068448327E3AC090797CB9643368-242.3
122LRRP Aa111415q1266624623-66724624744E6AY318960CD670559722.5
123RIKEN cDNA 3100001N1915q1267179494-672794941065E2XM_224414CB316157242.0
124CG31759-PA16p161873071-19730712118E6XM_224583BQ20494912-482.9
125RIKEN cDNA 1600027G0116q1146571222-466712221671E12XM_224872CB96437612-480.2
126LRRP Ab1-11416q12+570088524-701885241017E7AY325139CD0521842-124.2
127LOC33327316q12+574592385-746923867596E24XM_289530CB7515074-162.9
128LRRP Aa2-02017p1231648226-31748227510E5AY325171CD670565240.4
129BAC CH230-11N517p1233653050-337530513654E3AC097745CB83987536-1444.6
130LRRP Da1-618p1133359680-334596807246E36AY325252BE115795722.0
131LRRP Ab1-33118p1135993431-36093432456E3AY325157CD05221082.2
132LRRP Ac2-03218p1219873342-19973343411E4AY321326CB9234614-122.7
133LRRP Ac2-25618q12+154367673-544676741968E14AY321347CB964394722.2
134LRRP Ab2-14318q12+373779132-738791331041E4AY325193CD670515722.0
135LRRP Ab1-1961961817-161818249E2AY325149CD05219672-960.3
136BAC CH230-186B2319p1211378776-114787776966E17AC099101CF38493912-1440.1
137RIKEN cDNA 1300002A0819q1126425206-265252062421E14BC049090CD6705804-960.3, 2.4
138RP23-28G1319q1127619446-27719447648E5AL611926CB96435912-242.3
139LRRP Ba1-64719q1237558273-375582731146E6AY325231CF11066712-1443.2
140LRRP Ac2-20219q1239540703-396407041506E11AY321341CB96436536-1442.5
141LRRP Da2-419q1245067705-451677051485E12AY325261BQ19277536-722.4
142LRRP zbs55919q1249398632-494986331251E8AY310156CF1089412-83.1
143LRRP Da1-2420p124989596-50895963351E28AY325253CF11099216-963.5
144LRRP Aa2-16620q1130100395-30200395846E7AY325164CD670575240.5
145LRRP Ab2-01820q1245555921-45655921411E3AY325181CD670492362.0
146LRRP Ab1-287Xq11363389-463389435E1AY325156CD052208122.0
147LRRP Ab2-183Xq1429669669-297696701347E12AY325195CD67052024-482.3
148BAC CH230-155H3Xq2251955598-52055598963E1AC124926AW91741912-720.3
149LRRP Ab2-401Xq3170622246-70722246633E7AY325208CB8038704-720.4, 3.2
150KIAA0205Xq3171048564-71148564807E2XM_228902BE1155188-120.4
151Ab2-404Xq3164588093-646880944353E8AY325213CD670539362.5
152LRRP Ab2-402Xq3370623188-70723189633E7AY325208CD67053812-240.1
153BAC CH230-404C20Xq3386798373-868983733987E9AC118772CB92346312-720.5, 2.4
154LRRP Da2-19Xq3489848255-899482551032E3AY325254CB32585248-722.6
155RP24-347B22Xq3595493296-955932961641E7AC122009CF384946482.2
156LRRP Ac1-163Xq37114620155-1147201562847E8AY321321CB8398418-360.4
157LRRP Ab2-057N/A40208673-403086731527E8AY318962CD670560720.4
158LRRG Ac2019N/AN/AN/AN/AN/ACF38494122.0
15912 days embryo cDNAN/AN/AN/AN/AN/ACD6704932-725.0
16013 days embryo liver cDNAN/AN/AN/AN/AN/ACB8398612-365.9
161Liver cDNAN/AN/AN/AN/AN/ACD052216720.1
162Testis cDNAN/AN/AN/AN/AN/ACB964382162.1
163RP23-92K11N/AN/AN/AN/AN/ACD0521784-162.7
164RIKEN cDNA 4833439L19N/AN/AN/AN/AN/ACD67057480.5
165Hippocampus cDNAN/AN/AN/AN/AN/ACD6705028-160.5
166RP23-235O1N/AN/AN/AN/AN/ACB3151588-360.2
167RP23-195K1N/AN/AN/AN/AN/AAA9007878-362.4
168RP24-176A1N/AN/AN/AN/AN/ACD67051712-480.5, 2.4
169RIKEN cDNA 2700060E02N/AN/AN/AN/AN/ABM386943242.0
170RP23-195K1N/AN/AN/AN/AN/AAA90078724-1444.0
171KIAA0433N/AN/AN/AN/AN/AN/A362.0
172RP23-417P22N/AN/AN/AN/AN/ACF38493248-960.2
173LRRP Ac2-019N/AN/AN/AN/AN/ACF38494148-962.4
174RP23-23501N/AN/AN/AN/AN/ACB31515848-1440.4
175LRRG Ab2052N/AN/AN/AN/AN/ACD670498722.4
176RP24-155I9N/AN/AN/AN/AN/ACB923489722.0
177RIKEN cDNA 2310045J23N/AN/AN/AN/AN/ACB7515201440.5

Cluster analysis of genes expressed differently in liver regeneration

Cluster analysis was done to facilitate the visualization and interpretation of the gene expression program represented in this very large body of data. The results showed that the distribution trend of the 177 genes is as follows: the genes altered in the beginning phase of LR are more than those in the other phases; the genes up-regulated in LR are more than those down-regulated; the expression folds of up-regulated genes are higher than the suppression folds of the down-regulated; and the expression changes of the down-regulated genes are more complex than those of the up-regulated (Figure 2A). On the basis of similarities in their expression patterns and display results in a compact graphical format, 18 kinds of ramose gene expression clusters are generated (Figure 2B).
Fig. 2

Hierarchical cluster analysis of 177 genes. A. Cluster of distribution trend. 177 genes differing with more than twofold intensity at least one time point of liver regeneration were identified; B. Cluster of hierarchical relativity at eleven time points.

Cluster analysis of genes expressed at 12 time points after PH showed that the 177 genes are categorized into 8 patterns of gene expression based on the similarity, that is, 2 and 4, 8, 12 and 16, 24, 36, 48, 72, 96 and 144 h, and are placed in a major branch of the dendrogram (Figure 3).
Fig. 3

The 177 genes expressed at different time points after PH are categorized into 8 patterns based on their similarity, that is, 2 and 4, 8, 12 and 16, 24, 36, 48, 72, 96 and 144 h.

Discussion

In this study, 177 unreported genes were identified by microarray to be associated with the rat liver regeneration. It shows that a large number of genes related with LR remain to be found and studied. It was found by the analysis of chromosome location of genes that 131 genes were located on the long arms of the chromosomes and 25 genes were on the short arms. This is responsible for the structure of chromosomes. In the 177 genes, expression of 61 genes was altered in the intermediate phase of LR. It means that the progress of S phase of cell cycle is involved in lots of genes. It was confirmed that 99 genes were up-regulated in LR and 62 genes down, suggesting that the number of the activated genes were more than that of the suppressed ones. Following the cluster analysis, the 177 genes related with rat liver regeneration were categorized into 18 distinct temporal patterns of induction, and based on the similarity, the 177 genes showed 8 expression profiles, that is, 2 and 4, 8, 12 and 16, 24, 36, 48, 72, 96 and 144 h, indicating that the genes expressed in the same time share common expression profiles, and the metabolism and physiology of the cells with common gene expression profiles are similar. On the other hand, the genes expressed in different times have no common expression profiles, and the metabolism and physiology of the cells with different gene expression profiles are not similar. However, the types and characteristics of these genes are still unclear, and their functions remain to be further studied.

Materials and Methods

Partial hepatectomy of rats and RNA isolation

200±20 g healthy adult SD (Sprague Dawley) rats were obtained from the experimental animal center of Henan Normal University. Following the method of Higgens and Anderson (, 70% of the total rat liver was removed, which was performed under sterile conditions (. The regenerating livers of four rats (male: female =1:1) were taken at 2, 4, 8, 12, 16, 24, 36, 48, 72, 96 and 144 h respectively after PH. The taken livers were rinsed in cold PBS and immersed in −80°C refrigerator for RNA extraction. Total RNA was isolated from frozen livers according to the manual of Trizol kit of Invitrogen. In brief, 50–100 mg liver was homogenized in 1 mL Trizol reagent containing phenol and guanidinium isothiocyanate/cationic detergent, followed by phenol-chloroform extraction and isopropyl alcohol precipitation. The quantity and integrity of total RNA was examined by ultraviolet spectrometer and denaturing formaldehyde agarose electrophesis stained by ethidium bromide (EB).

Subtracted cDNA library construction and screening

The subtracted cDNA library was generated from total RNA by PCR-Select™ cDNA subtraction kit (Clontech, Palo Alto, USA) following the manufactory’s instruction. Briefly, total RNA was reverse-transcribed into double cDNA strands and digested with restriction enzymes, followed by subtracted hybridization with drivers and testers. Finally, with suppression PCR (polymerase chain reaction), differential expression sequence tags were performed to construct subtracted cDNA library (. The subtracted cDNA library was cloned into T/A vector and screened by PCR with nest primers 1 and 2.

cDNA microarray construction

551 cDNA fragments were amplified by Nested PCR. Primers 1 and 2 were purified by NaAc/isopropyl alcohol. Subsequently, they and 50 controls (8 negative, 12 void, and 30 internal) were doubly spotted onto glass slides by ProSys-5510A spotting machine following designed project and comprised 8 submatrixes (48*24) occupying 9×18 mm (BioStar, Shanghai, China). Then the gene chips were ready by hydrating, blocking and drying (.

Hybridization and scanning

RNA prepared from rat livers before PH was ready for a reference for all cDNA microarray analyses. Total denatured RNA was reverse transcribed with Cy3-conjugated dCTP (control group) and Cy5-conjugated dCTP (test group) (Amersham-Pharmacia Biotech, England) using MMLV reverse transcriptase (Promega) with olig(dT) primer. After bath incubation for 2 h, labeled buffers I and II were subsequently added to the reaction. The control group and test group were mingled together symmetrically and stored, avoiding light for application (. The glass slices were prehybridized at 42°C for 5–6 h in hybridization buffer containing freshly cooked shared salmon sperm DNA. The labeled denatured probe was hybridized against cDNA microarray with overnight (16–18 h) incubation at 42°C The slices were then washed twice with 2×SSC containing 0.5% SDS at room temperature for 5 min, once with 0.2×SSC containing 0.5% SDS at 60°C for 10 min, and finally with 0.2×SSC at 60°C for 10 min. The slices were exposed to photographer. Hybridized images were scanned by a fluorescence laser scanning device, Gene Pix 4000A. At last, two hybridizations were performed at each time point. In addition, a semiquantitative inspection of the hybridization results was performed for (1) green signal (down-regulation); (2) yellow signal (no obvious regulation); (3) red signal (upregulation).

Data analysis

The cy3 and cy5 signal intensities were quantified by Gene Pix Pro 3.0 software. Subsequently, we normalized the obtained numerical data with classical linear regression techniques. In brief, quantified cy3 and cy5 signal intensities were obtained when foreground signal intensities were deducted by background signal intensities, and cy5 signal intensity was replaced by 200 when it was <200. When Ri (Ri=cy5/cy3) was between 0.1 and 10, Ri was taken logarithms to generate Ri’ [log (Ri)] and ND was taken by EXP (R) (averaged Ri’). The modified cy3* was generated when taking ND multiply cy3 and was replaced by 200 when it was <200. The ratio was performed by cy5/cy3*. Therefore, we selected genes whose ratio was more than 2 or less than 0.5, representing a twofold difference in expression level. To analyze the selected gene expression data, we applied GeneMaths cluster analysis and performed hierarchical clustering to apprise the number of groups. Euclidean distance was used as the dissimilarity measure. Whole analyses were executed with Microsoft Excel and GeneSpring (Silicon Genetics, San Carlos, USA).

Structure and chromosome location of the genes

The base sequence assay of ESTs was carried according to the current protocols in molecular biology. The EST sequences were sent to GeneBank to perform homology analysis. The accession number of the whole novel ESTs is achieved. In virtue of rat genome database (RGD), electronic cloning and chromosome location of the unreported ESTs representing unreported full-length cDNA were performed successfully. They were searched at http://www.ncbi.nlm.nih.gov/genomeguide/rat/index.html/ for gene location in chromosome and genes corresponding with WGS (Whole Genome Shotgun). By delivering the sequences to GENSCAN, we acquired CDS (coding domain sequences) supported by the full-length cDNA. Compared with known proteins in virtue of BLASTP (http://www.ncbi.nlm.nih.gov/BLAST/), their functions and accession numbers were achieved.
  10 in total

Review 1.  Liver regeneration: the emergence of new pathways.

Authors:  Artur Zimmermann
Journal:  Med Sci Monit       Date:  2002-03

2.  Liver gene regulation in rats following both 70 or 90% hepatectomy and endotoxin treatment.

Authors:  S A Jensen
Journal:  J Gastroenterol Hepatol       Date:  2001-05       Impact factor: 4.029

3.  Gene expression during the priming phase of liver regeneration after partial hepatectomy in mice.

Authors:  Andrew I Su; Luca G Guidotti; John Paul Pezacki; Francis V Chisari; Peter G Schultz
Journal:  Proc Natl Acad Sci U S A       Date:  2002-08-12       Impact factor: 11.205

4.  Gene expression differences of regenerating rat liver in a short interval successive partial hepatectomy.

Authors:  Cun-Shuan Xu; An-Shi Zhang; Hong-Peng Han; Jin-Yun Yuan; Cui-Fang Chang; Wen-Qiang Li; Ke-Jin Yang; Li-Feng Zhao; Yu-Chang Li; Hui-Yong Zhang; Salman Rahman; Jing-Bo Zhang
Journal:  World J Gastroenterol       Date:  2004-09-15       Impact factor: 5.742

5.  Combining SSH and cDNA microarrays for rapid identification of differentially expressed genes.

Authors:  G P Yang; D T Ross; W W Kuang; P O Brown; R J Weigel
Journal:  Nucleic Acids Res       Date:  1999-03-15       Impact factor: 16.971

6.  Gene expression profile at the G1/S transition of liver regeneration after partial hepatectomy in mice.

Authors:  Ande Satyanarayana; Robert Geffers; Michael P Manns; Jan Buer; K Lenhard Rudolph
Journal:  Cell Cycle       Date:  2004-11-08       Impact factor: 4.534

Review 7.  Liver regeneration.

Authors:  G K Michalopoulos; M C DeFrances
Journal:  Science       Date:  1997-04-04       Impact factor: 47.728

Review 8.  Liver regeneration.

Authors:  N Fausto
Journal:  J Hepatol       Date:  2000       Impact factor: 25.083

9.  Extracellular ATP activates c-jun N-terminal kinase signaling and cell cycle progression in hepatocytes.

Authors:  Sundararajah Thevananther; Hongdan Sun; Duo Li; Vijaya Arjunan; Samir S Awad; Samuel Wyllie; Tracy L Zimmerman; John A Goss; Saul J Karpen
Journal:  Hepatology       Date:  2004-02       Impact factor: 17.425

10.  Mechanism of liver regeneration after partial hepatectomy using mouse cDNA microarray.

Authors:  Shinji Togo; Hirochika Makino; Takatoshi Kobayashi; Tomoyuki Morita; Tetsuya Shimizu; Toru Kubota; Yasushi Ichikawa; Takashi Ishikawa; Yasushi Okazaki; Yoshihide Hayashizaki; Hiroshi Shimada
Journal:  J Hepatol       Date:  2004-03       Impact factor: 25.083

  10 in total
  5 in total

1.  Serial expression analysis of liver regeneration-related genes in rat regenerating liver.

Authors:  Wen-Bo Wang; Jian-ming Fan; Xiao-li Zhang; Jun Xu; Wu Yao
Journal:  Mol Biotechnol       Date:  2009-08-12       Impact factor: 2.695

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Authors:  Monica Moro; Mariacristina Crosti; Pasquale Creo; Pierangela Gallina; Serena Curti; Elisa Sugliano; Rossana Scavelli; Davide Cattaneo; Elena Canidio; Maurizio Marconi; Paolo Rebulla; Paolo Sarmientos; Giuseppe Viale; Massimiliano Pagani; Sergio Abrignani
Journal:  PLoS One       Date:  2012-04-04       Impact factor: 3.240

3.  Genetic structure and evolution of the Vps25 family, a yeast ESCRT-II component.

Authors:  Ruth Slater; Naomi E Bishop
Journal:  BMC Evol Biol       Date:  2006-08-04       Impact factor: 3.260

4.  Expression Profile and Function Analysis of LncRNAs during Priming Phase of Rat Liver Regeneration.

Authors:  Jun Li; Wei Jin; Yanli Qin; Weiming Zhao; Cuifang Chang; Cunshuan Xu
Journal:  PLoS One       Date:  2016-06-21       Impact factor: 3.240

5.  Rat hepatocytes weighted gene co-expression network analysis identifies specific modules and hub genes related to liver regeneration after partial hepatectomy.

Authors:  Yun Zhou; Jiucheng Xu; Yunqing Liu; Juntao Li; Cuifang Chang; Cunshuan Xu
Journal:  PLoS One       Date:  2014-04-17       Impact factor: 3.240

  5 in total

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