41 Works
Role of lncRNA LINC01194 in hepatocellular carcinoma via the miR-655-3p/SMAD family member 5 axis
Yang Liu, Jie Liu, Junkai Cui, Ruolei Zhong & Guoyang Sun
Long non-coding RNAs (lncRNAs) are involved in developing hepatocellular carcinoma (HCC). The present study explored the role of lncRNA LINC01194, which is upregulated in HCC tissues and might be a vital regulator in HCC progression. Levels of LINC01194, microRNA (miR)-655-3p, and SMAD family member 5 (SMAD5) were assessed using reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR). The bioactivity of Huh-7 cells was assessed using cell counting kit-8 and transwell assays and flow cytometry. Western...
Ultrasound targeted microbubble destruction-mediated SOCS3 attenuates biological characteristics and epithelial-mesenchymal transition (EMT) of breast cancer stem cells
Xiaojiang Tang, Na Hao, Yuhui Zhou & Yang Liu
SOCS3 is low-expressed in breast cancer and may be a potential target. Ultrasound targeted microbubble destruction (UTMD) improved the efficiency of gene transfection. We explored the effects of UTMD-mediated transfection of SOCS3 on the biological characteristics and epithelial-mesenchymal transition (EMT) of breast cancer stem cells (BCSCs). The expression of SOCS3 in breast cancer (BC) and its association with prognosis were evaluated by GEPIA and The Cancer Genome Atlas (TCGA) websites. BCSCs were sorted by flow...
Additional file 11 of Characterising social contacts under COVID-19 control measures in Africa
Zlatina Dobreva, Amy Gimma, Hana Rohan, Benjamin Djoudalbaye, Akhona Tshangela, Christopher I. Jarvis, Kevin van Zandvoort & Matthew Quaife
Additional file 11: Fig. S9. Contacts by perceived impact of COVID-19 on health.
Additional file 3 of Characterising social contacts under COVID-19 control measures in Africa
Zlatina Dobreva, Amy Gimma, Hana Rohan, Benjamin Djoudalbaye, Akhona Tshangela, Christopher I. Jarvis, Kevin van Zandvoort & Matthew Quaife
Additional file 3: Fig. S1. Contacts by household head education level.
Additional file 4 of Characterising social contacts under COVID-19 control measures in Africa
Zlatina Dobreva, Amy Gimma, Hana Rohan, Benjamin Djoudalbaye, Akhona Tshangela, Christopher I. Jarvis, Kevin van Zandvoort & Matthew Quaife
Additional file 4: Fig. S2. Contacts by self-reported general health.
Additional file 5 of Characterising social contacts under COVID-19 control measures in Africa
Zlatina Dobreva, Amy Gimma, Hana Rohan, Benjamin Djoudalbaye, Akhona Tshangela, Christopher I. Jarvis, Kevin van Zandvoort & Matthew Quaife
Additional file 5: Fig. S3. Contacts by past SARS-CoV-2 infection status.
Additional file 7 of Characterising social contacts under COVID-19 control measures in Africa
Zlatina Dobreva, Amy Gimma, Hana Rohan, Benjamin Djoudalbaye, Akhona Tshangela, Christopher I. Jarvis, Kevin van Zandvoort & Matthew Quaife
Additional file 7: Fig. S5. Contacts by mask ownership.
Additional file 8 of Characterising social contacts under COVID-19 control measures in Africa
Zlatina Dobreva, Amy Gimma, Hana Rohan, Benjamin Djoudalbaye, Akhona Tshangela, Christopher I. Jarvis, Kevin van Zandvoort & Matthew Quaife
Additional file 8: Fig. S6. Non-household contacts by household size.
Additional file 5 of The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart
George Mtove, Daniel T. R. Minja, Omari Abdul, Samwel Gesase, Kenneth Maleta, Titus H. Divala, Noel Patson, Ulla Ashorn, Miriam K. Laufer, Mwayiwawo Madanitsa, Per Ashorn, Don Mathanga, Jobiba Chinkhumba, Julie R. Gutman, Feiko O. ter Kuile, Sofie Lykke Møller, Ib C. Bygbjerg, Michael Alifrangis, Thor Theander, John P. A. Lusingu & Christentze Schmiegelow
Additional file 5: Figure S4. Two stage individual participant data meta-analysis on the association between malaria in pregnancy (MIP) and small for gestational age (SGA) using the STOPPAM (SGASTOPPAM) vs. the Intergrowth-21 reference (SGAIG21). uOR: unadjusted odds ratio in panels A and B, aOR: adjusted odds ratio in panels C and D controlling for body mass index, gravidity, gestational age at enrolment, HIV, and hemoglobin level at enrolment. In addition, adjusted for gestational age at...
Ultrasound targeted microbubble destruction-mediated SOCS3 attenuates biological characteristics and epithelial-mesenchymal transition (EMT) of breast cancer stem cells
Xiaojiang Tang, Na Hao, Yuhui Zhou & Yang Liu
SOCS3 is low-expressed in breast cancer and may be a potential target. Ultrasound targeted microbubble destruction (UTMD) improved the efficiency of gene transfection. We explored the effects of UTMD-mediated transfection of SOCS3 on the biological characteristics and epithelial-mesenchymal transition (EMT) of breast cancer stem cells (BCSCs). The expression of SOCS3 in breast cancer (BC) and its association with prognosis were evaluated by GEPIA and The Cancer Genome Atlas (TCGA) websites. BCSCs were sorted by flow...
Additional file 2 of The role of proteoglycan form of DMP1 in cranial repair
Yang Liu, Pingping Niu, Mengqi Zhou & Hui Xue
Additional file 2.
Additional file 1 of Cross-watershed distribution pattern challenging the elimination of Oncomelania hupensis, the intermediate host of Schistosoma japonica, in Sichuan province, China
Shen Chen, Ding Lu, Lei Duan, Ben Ma, Chao Lv, Yin-long Li, Shen-ning Lu, Lan-hua Li, Liang Xu, Zi-song Wu, Shang Xia, Jing Xu, Yang Liu & Shan Lv
Additional file 1: Figure S1. The increase rate of frequency by slope from low to high. The increase rate of frequency was defined as the frequency at a specific slope was divided by the accumulated frequency at all observed slopes that were less than the specific slope.
Additional file 12 of Characterising social contacts under COVID-19 control measures in Africa
Zlatina Dobreva, Amy Gimma, Hana Rohan, Benjamin Djoudalbaye, Akhona Tshangela, Christopher I. Jarvis, Kevin van Zandvoort & Matthew Quaife
Additional file 12: Fig. S10. Relationship between median contacts and change in mobility and restrictions stringency.
Additional file 5 of Characterising social contacts under COVID-19 control measures in Africa
Zlatina Dobreva, Amy Gimma, Hana Rohan, Benjamin Djoudalbaye, Akhona Tshangela, Christopher I. Jarvis, Kevin van Zandvoort & Matthew Quaife
Additional file 5: Fig. S3. Contacts by past SARS-CoV-2 infection status.
Additional file 6 of Characterising social contacts under COVID-19 control measures in Africa
Zlatina Dobreva, Amy Gimma, Hana Rohan, Benjamin Djoudalbaye, Akhona Tshangela, Christopher I. Jarvis, Kevin van Zandvoort & Matthew Quaife
Additional file 6: Fig. S4. Contacts by vaccine acceptance attitude (Survey 2 only).
Additional file 4 of The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart
George Mtove, Daniel T. R. Minja, Omari Abdul, Samwel Gesase, Kenneth Maleta, Titus H. Divala, Noel Patson, Ulla Ashorn, Miriam K. Laufer, Mwayiwawo Madanitsa, Per Ashorn, Don Mathanga, Jobiba Chinkhumba, Julie R. Gutman, Feiko O. ter Kuile, Sofie Lykke Møller, Ib C. Bygbjerg, Michael Alifrangis, Thor Theander, John P. A. Lusingu & Christentze Schmiegelow
Additional file 4: Figure S3. Association between small for gestational age (SGA) and malaria in pregnancy excluding all HIV seropositive women. Panels A and B shows the unadjusted odds ratio (uOR) for SGA when using STOPPAM (SGASTOPPAM) and Intergrowth-21 (SGAIG21) references. Panels C and D shows the adjusted odds ratio (aOR).
Additional file 6 of The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart
George Mtove, Daniel T. R. Minja, Omari Abdul, Samwel Gesase, Kenneth Maleta, Titus H. Divala, Noel Patson, Ulla Ashorn, Miriam K. Laufer, Mwayiwawo Madanitsa, Per Ashorn, Don Mathanga, Jobiba Chinkhumba, Julie R. Gutman, Feiko O. ter Kuile, Sofie Lykke Møller, Ib C. Bygbjerg, Michael Alifrangis, Thor Theander, John P. A. Lusingu & Christentze Schmiegelow
Additional file 6: Figure S5. Funnel plots for meta-analysis. The closed dots indicate the observed studies, panel A indicate the trim and fill funnel plot for STOPPAM (P = 0.10) and panel B for Intergrowth-21 reference (P = 0.35). The contour enhanced funnel plot for STOPPAM (panel C) and Intergrowth-21 (panel D) show the distribution of studies in both the small and large p-values contours, hence no publication bias.
Additional file 5 of The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart
George Mtove, Daniel T. R. Minja, Omari Abdul, Samwel Gesase, Kenneth Maleta, Titus H. Divala, Noel Patson, Ulla Ashorn, Miriam K. Laufer, Mwayiwawo Madanitsa, Per Ashorn, Don Mathanga, Jobiba Chinkhumba, Julie R. Gutman, Feiko O. ter Kuile, Sofie Lykke Møller, Ib C. Bygbjerg, Michael Alifrangis, Thor Theander, John P. A. Lusingu & Christentze Schmiegelow
Additional file 5: Figure S4. Two stage individual participant data meta-analysis on the association between malaria in pregnancy (MIP) and small for gestational age (SGA) using the STOPPAM (SGASTOPPAM) vs. the Intergrowth-21 reference (SGAIG21). uOR: unadjusted odds ratio in panels A and B, aOR: adjusted odds ratio in panels C and D controlling for body mass index, gravidity, gestational age at enrolment, HIV, and hemoglobin level at enrolment. In addition, adjusted for gestational age at...
Additional file 6 of The choice of reference chart affects the strength of the association between malaria in pregnancy and small for gestational age: an individual participant data meta-analysis comparing the Intergrowth-21 with a Tanzanian birthweight chart
George Mtove, Daniel T. R. Minja, Omari Abdul, Samwel Gesase, Kenneth Maleta, Titus H. Divala, Noel Patson, Ulla Ashorn, Miriam K. Laufer, Mwayiwawo Madanitsa, Per Ashorn, Don Mathanga, Jobiba Chinkhumba, Julie R. Gutman, Feiko O. ter Kuile, Sofie Lykke Møller, Ib C. Bygbjerg, Michael Alifrangis, Thor Theander, John P. A. Lusingu & Christentze Schmiegelow
Additional file 6: Figure S5. Funnel plots for meta-analysis. The closed dots indicate the observed studies, panel A indicate the trim and fill funnel plot for STOPPAM (P = 0.10) and panel B for Intergrowth-21 reference (P = 0.35). The contour enhanced funnel plot for STOPPAM (panel C) and Intergrowth-21 (panel D) show the distribution of studies in both the small and large p-values contours, hence no publication bias.
Additional file 11 of Characterising social contacts under COVID-19 control measures in Africa
Zlatina Dobreva, Amy Gimma, Hana Rohan, Benjamin Djoudalbaye, Akhona Tshangela, Christopher I. Jarvis, Kevin van Zandvoort & Matthew Quaife
Additional file 11: Fig. S9. Contacts by perceived impact of COVID-19 on health.
Additional file 6 of Characterising social contacts under COVID-19 control measures in Africa
Zlatina Dobreva, Amy Gimma, Hana Rohan, Benjamin Djoudalbaye, Akhona Tshangela, Christopher I. Jarvis, Kevin van Zandvoort & Matthew Quaife
Additional file 6: Fig. S4. Contacts by vaccine acceptance attitude (Survey 2 only).
Role of lncRNA LINC01194 in hepatocellular carcinoma via the miR-655-3p/SMAD family member 5 axis
Yang Liu, Jie Liu, Junkai Cui, Ruolei Zhong & Guoyang Sun
Long non-coding RNAs (lncRNAs) are involved in developing hepatocellular carcinoma (HCC). The present study explored the role of lncRNA LINC01194, which is upregulated in HCC tissues and might be a vital regulator in HCC progression. Levels of LINC01194, microRNA (miR)-655-3p, and SMAD family member 5 (SMAD5) were assessed using reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR). The bioactivity of Huh-7 cells was assessed using cell counting kit-8 and transwell assays and flow cytometry. Western...
Additional file 3 of The role of proteoglycan form of DMP1 in cranial repair
Yang Liu, Pingping Niu, Mengqi Zhou & Hui Xue
Additional file 3.
Additional file 12 of Characterising social contacts under COVID-19 control measures in Africa
Zlatina Dobreva, Amy Gimma, Hana Rohan, Benjamin Djoudalbaye, Akhona Tshangela, Christopher I. Jarvis, Kevin van Zandvoort & Matthew Quaife
Additional file 12: Fig. S10. Relationship between median contacts and change in mobility and restrictions stringency.
Additional file 3 of Characterising social contacts under COVID-19 control measures in Africa
Zlatina Dobreva, Amy Gimma, Hana Rohan, Benjamin Djoudalbaye, Akhona Tshangela, Christopher I. Jarvis, Kevin van Zandvoort & Matthew Quaife
Additional file 3: Fig. S1. Contacts by household head education level.
Affiliations
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London School of Hygiene & Tropical Medicine41
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University of Maryland, Baltimore21
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Public Health England20
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Africa Centres for Disease Control and Prevention20
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Chinese Academy of Tropical Agricultural Sciences11
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Sun Yat-sen University11
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Zhejiang University11
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Central South University11
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Fudan University Shanghai Cancer Center11
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Fairy Lake Botanical Garden11