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Kao YL, Donaghue K, Chan A, Knight J, Silink M. A novel polymorphism in the aldose reductase gene promoter region is strongly associated with diabetic retinopathy in adolescents with type 1 diabetes. Diabetes 1999; 48:1338-40. [PMID: 10342825 DOI: 10.2337/diabetes.48.6.1338] [Citation(s) in RCA: 86] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Singh US, Kunar MT, Kao YL, Baker KM. Role of transglutaminase II in retinoic acid-induced activation of RhoA-associated kinase-2. EMBO J 2001; 20:2413-23. [PMID: 11350930 PMCID: PMC125450 DOI: 10.1093/emboj/20.10.2413] [Citation(s) in RCA: 67] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2000] [Revised: 02/28/2001] [Accepted: 03/21/2001] [Indexed: 11/14/2022] Open
Abstract
Transamidation is a post-translational modification of proteins mediated by tissue transglutaminase II (TGase), a GTP-binding protein, participating in signal transduction pathways as a non-conventional G-protein. Retinoic acid (RA), which is known to have a role in cell differentiation, is a potent activator of TGASE: The activation of TGase results in increased transamidation of RhoA, which is inhibited by monodansylcadaverine (MDC; an inhibitor of transglutaminase activity) and TGaseM (a TGase mutant lacking transglutaminase activity). Transamidated RhoA functions as a constitutively active G-protein, showing increased binding to its downstream target, RhoA-associated kinase-2 (ROCK-2). Upon binding to RhoA, ROCK-2 becomes autophosphorylated and demonstrates stimulated kinase activity. The RA-stimulated interaction between RhoA and ROCK-2 is blocked by MDC and TGaseM, indicating a role for transglutaminase activity in the interaction. Biochemical effects of TGase activation, coupled with the formation of stress fibers and focal adhesion complexes, are proposed to have a significant role in cell differentiation.
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Kao YL, Deavours BE, Phelps KK, Walker RA, Reddy AS. Bundling of microtubules by motor and tail domains of a kinesin-like calmodulin-binding protein from Arabidopsis: regulation by Ca(2+)/Calmodulin. Biochem Biophys Res Commun 2000; 267:201-7. [PMID: 10623599 DOI: 10.1006/bbrc.1999.1896] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Kinesin-like calmodulin-binding protein (KCBP), a novel kinesin-like protein from plants, is unique among kinesins and kinesin-like proteins in having a calmodulin-binding domain adjacent to its motor domain. KCBP localizes to mitotic microtubule (MT) arrays including the preprophase band, the spindle apparatus, and the phragmoplast, suggesting a role for KCBP in establishing these MT arrays by bundling MTs. To determine if KCBP bundles MTs, we expressed C-terminal motor and N-terminal tail domains of KCBP, and used the purified proteins in MT bundling assays. The 1.5 C protein with the motor and calmodulin-binding domains induced MT bundling. The 1.5 C-induced bundles were dissociated in the presence of Ca(2+)/calmodulin. Similar results were obtained with a 1.4 C protein, which lacks much of the coiled-coil region present in 1.5 C protein and does not form dimers. The N-terminal tail of KCBP, which contains an ATP-independent MT binding site, is also capable of bundling MTs. These results, together with the KCBP localization data, suggest the involvement of KCBP in establishing mitotic MT arrays during different stages of cell division and that Ca(2+)/calmodulin regulates the formation of these MT arrays.
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Kao YL, Donaghue K, Chan A, Knight J, Silink M. A variant of paraoxonase (PON1) gene is associated with diabetic retinopathy in IDDM. J Clin Endocrinol Metab 1998; 83:2589-92. [PMID: 9661650 DOI: 10.1210/jcem.83.7.5096] [Citation(s) in RCA: 37] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Serum paraoxonase is a glycoprotein which binds to high-density lipoproteins (HDL) and may prevent oxidation of LDL by hydrolyzing lipid peroxides. Two polymorphisms identified in the paraoxonase gene (Met-Leu 54 and Gln-Arg 192) have been associated with cardiovascular disease. Oxidative low-density lipoprotein (LDL) is also toxic to retinal capillary endothelial cells and pericytes, so that mildly modified LDL may contribute to the development of diabetic retinopathy. To investigate the potential significance of these polymorphisms in the pathogenesis of diabetic retinopathy in IDDM, 80 patients with diabetic retinopathy and 119 controls without diabetic retinopathy were investigated in the current project. The allelic frequency of leucine 54 (L) was significantly higher in the group with retinopathy than without retinopathy (73% vs. 57%, p < 0.001). The genotype L/L was strongly associated with the development of diabetic retinopathy (p < 0.001), but a similar association was not found with Gln-Arg 192. Leucine 54 is a risk factor for diabetic retinopathy.
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Kao Y, Donaghue KC, Chan A, Bennetts BH, Knight J, Silink M. Paraoxonase gene cluster is a genetic marker for early microvascular complications in type 1 diabetes. Diabet Med 2002; 19:212-5. [PMID: 11918623 DOI: 10.1046/j.1464-5491.2002.00660.x] [Citation(s) in RCA: 37] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
BACKGROUND Paraoxonase is a serum enzyme, which prevents oxidation of low-density lipoprotein (LDL) by hydrolyzing lipid peroxides. Two polymorphisms in PON1 gene have been associated with cardiovascular and microvascular diseases in both diabetic and non-diabetic patients. AIMS The current project was designed to investigate the association between the polymorphisms of two PON genes and diabetes microvascular diseases (retinopathy and microalbuminuria) and any potential linkage between Met54Leu of PON1 and Cys311Ser of PON2 gene. METHODS Diabetic retinopathy and albumin excretion rate were assessed in 372 adolescents with Type 1 diabetes who were genotyped for the two polymorphisms. RESULTS We confirmed the increased susceptibility for diabetic retinopathy for the Leu/Leu genotype (odds ratio (OR) 3.34 (confidence interval (CI) 1.95, 5.75), P < 0.0001). The Ser/Ser genotype was significantly more common in those patients with microalbuminuria (albumin excretion rate > or = 20 microg/min) compared with those with albumin excretion rate < 20 microg/min (OR 4.72 (CI 2.65, 8.41), P < 0.0001). The Ser311 of PON2 was in strong linkage disequilibrium with Leu54 of PON1 gene (Delta = 23 x 10(4), P < 0.001). The delta value was higher for those without complications (28 x 104, P < 0.001) compared with those with complications (15.5 x 10(4), P < 0.001). CONCLUSIONS This study supports the hypothesis that diabetic microangiopathy is genetically heterogeneous. PON1 Leu/Leu increases the risk for retinopathy and PON2 Ser/Ser increases the risk for microalbuminuria.
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Kordonouri O, James RW, Bennetts B, Chan A, Kao YL, Danne T, Silink M, Donaghue K. Modulation by blood glucose levels of activity and concentration of paraoxonase in young patients with type 1 diabetes mellitus. Metabolism 2001; 50:657-60. [PMID: 11398141 DOI: 10.1053/meta.2001.23291] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Paraoxonase (PON) is a high-density lipoprotein (HDL)-associated esterase, which may prevent the transformation of low-density lipoproteins (LDL) into biologically active, atherogenic particles. PON concentration and activity are affected by PON1 gene polymorphisms and found to be altered in type 2 diabetes patients with retinopathy. We investigated serum PON concentration, in vitro activity and polymorphism at position 54 (L/M, Leu-Met54) in 193 Caucasian adolescents and young adults (88 males, 105 females) with type 1 diabetes mellitus, as well as its relationship to the presence of retinopathy. An inverse linear correlation was found between blood glucose levels and both serum PON concentration (r = -.20, P =.017) and its activity (r = -0.17, P =.037). Patients with elevated blood glucose values (> or =10 mmol/L) had significantly lower levels of both PON concentration (P =.003) and activity (P =.028) than those with lower glucose levels. After adjusting for blood glucose and diabetes duration, PON activity was significantly higher in patients with different stages of retinopathy compared with those without retinopathy (P =.003). The L/L genotype was closely associated with the presence of retinopathy (P <.0001). These data show that young people with type 1 diabetes and the L/L polymorphism at position 54 of PON1 gene are more susceptible to retinal complications. However, the role of serum PON concentration and activity as a possible marker for monitoring late microvascular complications in these patients has to be established.
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He MY, Lin YJ, Kao YL, Kuo P, Grauffel C, Lim C, Cheng YS, Chou HHD. Sensitive and Specific Cadmium Biosensor Developed by Reconfiguring Metal Transport and Leveraging Natural Gene Repositories. ACS Sens 2021; 6:995-1002. [PMID: 33444502 DOI: 10.1021/acssensors.0c02204] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Whole-cell biosensors are useful for monitoring heavy metal toxicity in public health and ecosystems, but their development has been hindered by intrinsic trade-offs between sensitivity and specificity. Here, we demonstrated an effective engineering solution by building a sensitive, specific, and high-response biosensor for carcinogenic cadmium ions. We genetically programmed the metal transport system of Escherichia coli to enrich intracellular cadmium ions and deprive interfering metal species. We then selected 16 cadmium-sensing transcription factors from the GenBank database and tested their reactivity to 14 metal ions in the engineered E. coli using the expression of the green fluorescent protein as the readout. The resulting cadmium biosensor was highly specific and showed a detection limit of 3 nM, a linear increase in fluorescent intensities from 0 to 200 nM, and a maximal 777-fold signal change. Using this whole-cell biosensor, a smartphone, and low-tech equipment, we developed a simple assay capable of measuring cadmium ions at the same concentration range in irrigation water and human urine. This method is user-friendly and cost-effective, making it affordable to screen large amounts of samples for cadmium toxicity in agriculture and medicine. Moreover, our work highlights natural gene repositories as a treasure chest for bioengineering.
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Research Support, Non-U.S. Gov't |
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Kao YL, Donaghue K, Chan A, Knight J, Silink M. An aldose reductase intragenic polymorphism associated with diabetic retinopathy. Diabetes Res Clin Pract 1999; 46:155-60. [PMID: 10724095 DOI: 10.1016/s0168-8227(99)00087-x] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
The polyol pathway has been considered important in the development of diabetes long-term complications. Diabetic patients with microvascular disease have increased gene expression and enzyme activity, which may be due to variants in the aldose reductase gene. An association of an intragenic BamHI polymorphic site with diabetic retinopathy and nephropathy has been suggested, but the BamHI site has not been confirmed. In the current study, long template PCR-RFLP and DNA sequencing were used to ascertain its existence. A single substitution of A to C at 95th nucleotide of intron 8 was identified. This polymorphism was investigated in 164 adolescents with type 1 diabetes in whom diabetic retinopathy was assessed by stereoscopic retinal photography. Both the wild haplotype B and homozygote BB were significantly more common in the adolescents with retinopathy than in those without retinopathy (P = 0.018 and 0.002, respectively). We also confirmed an association between a previously described (CA)n repeat sequence and retinopathy in these adolescents (P < 0.0005). However, there was no association between the two polymorphisms.
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Kao YL, Chang EL, Chong PL. Unusual pressure dependence of the lateral motion of pyrene-labeled phosphatidylcholine in bipolar lipid vesicles. Biochem Biophys Res Commun 1992; 188:1241-6. [PMID: 1445356 DOI: 10.1016/0006-291x(92)91364-v] [Citation(s) in RCA: 26] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
The lateral mobility of a pyrene-labeled phosphatidylcholine probe in liposomes containing archaebacterial bipolar lipids has been studied isothermally as a function of pressure. The pressure-dependence of the probe mobility, R, is found to be slightly positive or zero in the temperature range of 17 - 48 degrees C. At temperatures > 48 degrees C, R becomes negative and decreases with temperature. The data indicate that lateral mobility only becomes appreciable at high temperatures. In addition, the R values obtained with other lipid membranes are much lower than that obtained with bipolar liposomes, implying that the membranes of archaebacterial liposomes are laterally immobile, as compared to other lipid membranes.
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Craver RD, Correa H, Kao Y, Van Brunt T. Dermatofibrosarcoma protuberans with 46,XY,t(X;7) abnormality in a child. CANCER GENETICS AND CYTOGENETICS 1995; 80:75-7. [PMID: 7697639 DOI: 10.1016/0165-4608(95)93814-e] [Citation(s) in RCA: 25] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
A 9-year-old child with dermatofibrosarcoma protuberans demonstrated a balanced translocation, 46,XX,t(X;7)(q21l2;q11.2), in the untreated tumor, an abnormality not previously reported. Unlike seven of eight other reports of dermatofibrosarcoma protuberans, no ring chromosomes were present.
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Case Reports |
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Yang CR, Ou YC, Kuo JH, Kao YL, Chen CL, Yean SY, Horng YY, Yang CS. Intracellular glutathione content of urothelial cancer in correlation to chemotherapy response. Cancer Lett 1997; 119:157-62. [PMID: 9570366 DOI: 10.1016/s0304-3835(97)00274-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
We evaluated the possible correlation between intracellular glutathione (GSH) and drug sensitivity of urothelial cancer. Tissue GSH content of surgical specimens from 20 patients with urothelial cancer was assayed with high performance liquid chromatography (HPLC). GSH levels of cancer tissue (7.887 +/- 6.176 microM/mg protein) were significantly higher than GSH levels of normal mucosa (1.345 +/- 1.252 microM/mg). All patients having measurable lesions were then treated with methotrexate, epirubicin and cisplatin (MEC). These patients were classified into three groups according to clinical response criteria. GSH content in cancer tissue from four patients with complete response was 0.804 +/- 1.183 microM/mg protein. However, the cancer cells from patients with partial response and non-response contained a significantly higher level of GSH (6.295 +/- 2.459 (n = 8) and 12.955 +/- 6.141 microM/mg protein (n = 8), respectively). Intracellular glutathione content may play an important role in intrinsic resistance of urothelial cancer to MEC chemotherapy. It might be potentially used to predict drug sensitivity in urothelial cancer patients before starting chemotherapy.
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Kao Y. The efficacy of anatomically based multilevel surgery for obstructive sleep apnea. Otolaryngol Head Neck Surg 2003. [DOI: 10.1016/s0194-5998(03)00711-3] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Narasimhulu SB, Kao YL, Reddy AS. Interaction of Arabidopsis kinesin-like calmodulin-binding protein with tubulin subunits: modulation by Ca(2+)-calmodulin. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 1997; 12:1139-49. [PMID: 9418053 DOI: 10.1046/j.1365-313x.1997.12051139.x] [Citation(s) in RCA: 22] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Kinesin-like calmodulin-binding protein (KCBP) is a recently identified novel kinesin-like protein that appears to be unique to and ubiquitous in plants. KCBP is distinct from all other known KLPs in having a calmodulin-binding domain adjacent to its motor domain. We have used different regions of KCBP to study its interaction with tubulin subunits and the regulation of this interaction by Ca(2+)-calmodulin. The results show that the carboxy-terminal part of the KCBP, with or without calmodulin-binding domain, binds to tubulin subunits and this binding is sensitive to nucleotides. In the presence of Ca(2+)-calmodulin the motor with calmodulin-binding domain does not bind to tubulin. This Ca(2+)-calmodulin modulation is abolished in the presence of antibodies specific to the calmodulin-binding domain of KCBP. Similar binding studies with the carboxy-terminal part of KCBP lacking the calmodulin-binding domain show no effect of Ca(2+)-calmodulin. These results indicate that Ca(2+)-calmodulin modulates the interaction of KCBP with tubulin subunits and this modulation is due to the calmodulin-binding domain in the KCBP. Calcium-dependent calmodulin modulation of KCBP interaction with tubulin suggests regulation of KCBP function by calcium, the first such regulation of a kinesin heavy chain among all the known kinesin-like proteins.
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Kao YL, Chong PL, Huang CH. Time-resolved fluorometric and differential scanning calorimetric investigation of dehydroergosterol in 1-stearoyl-2-caprylphosphatidylcholine bilayers. Biochemistry 1990; 29:1315-22. [PMID: 2322566 DOI: 10.1021/bi00457a030] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Thermal and dynamic properties of dehydroergosterol (DHE) in 1-stearoyl-2-capryl-sn-glycero-3-phosphocholine [C(18):C(10)PC] have been studied by differential scanning calorimetry (DSC) and multifrequency phase-modulation fluorometry. C(18):C(10)PC is an asymmetric mixed-chain phosphatidylcholine known to form highly ordered mixed interdigitated bilayers below the maximal transition temperature, Tm, and partially interdigitated bilayers above Tm. This lipid system is thus unique in assessing the interactions between sterols and interdigitated lipid bilayers. DHE is a fluorescent analogue of cholesterol shown in previous studies to behave like cholesterol in noninterdigitated symmetric diacylphosphatidylcholines. DSC data show that DHE exhibits similar characteristics to cholesterol [Chong & Choate (1989) Biophys. J. 55, 551-556] in C(18):C(10)PC bilayers. DHE abolishes the phase transition of C(18):C(10)PC at 27 mol % compared to 25 mol % for cholesterol and decreases Tm, the onset temperature (To), and the completion temperature (Tc), at a similar rate to cholesterol at about -0.25 degrees C per mole percent DHE. Fluorescence data show that the rotational motion of DHE can be described by a hindered anisotropic model. In the gel state of C(18):C(10)PC, the rotational correlation of DHE decreases monotonically with increasing DHE content up to 24 mol %, suggesting that DHE causes a disordering/spacing effect on the packing of mixed interdigitated C(18):C(10)PC bilayers. The rotational correlation time undergoes an abrupt increase from 24 to 27 mol % DHE. Abrupt changes in the DSC parameters were also observed in the neighborhood of 27 mol %, suggesting that major reorganization takes place around this concentration.(ABSTRACT TRUNCATED AT 250 WORDS)
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Kao YL, Chong PL, Huang CH. Dynamic motions of 1,6-diphenyl-1,3,5-hexatriene in interdigitated C(18):C(10)phosphatidylcholine bilayers. Biophys J 1990; 58:947-56. [PMID: 2248998 PMCID: PMC1281040 DOI: 10.1016/s0006-3495(90)82439-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
This study investigates the dynamic behavior of 1,6-diphenyl-1,3,5-hexatriene (DPH) in C(18):C(10)phosphatidylcholine [C(18):C(10)PC] bilayers. C(18):C(10)PC is an asymmetric mixed-chain phosphatidylcholine known to form mixed-interdigitated structures below the transition temperature and form partially interdigitated bilayers above the transition temperature. The rotation of DPH in C(18):C(10)PC has been described in terms of the thermal coefficient of rotation using the modified Y-plot method which takes into account the limiting anisotropy value. During the phase transition of C(18):C(10)PC, DPH exhibits a thermal coefficient b2M = 0.41 - 0.51 degrees C-1 which is similar to the b2M values obtained with noninterdigitated phosphatidylcholine bilayers. Differential polarized phase-modulation fluorometry has also been employed to study the dynamic behavior of DPH in C(18):C(10)PC in real time. The data show that DPH contains considerable motion in the highly ordered mixed interdigitated bilayers. The DPH motion steadily increases with an increase in temperature as shown by the rotational correlation time, and the wobbling diffusion constant. However, the limiting anisotropy, the order parameter, and the width of the lifetime distribution undergo an abrupt decrease, and a corresponding abrupt increase in the cone angle, at approximately 16 degrees C. This temperature range is near the onset temperature of the phase transition as determined by differential scanning calorimetry. The rotational parameters show strong hysteresis on heating and cooling. All the rotational parameters derived from DPH fluorescence in mixed interdigitated C(18):C(10)PC exhibit magnitudes similar to those obtained from non interdigitated gel phases of symmetric diacylphosphatidylcholines. These results, combined with those obtained with dehydroergosterol (Kao, Y. L., P. L.-G. Chong, and C. Huang. 1990. Biochemistry. 29:1315-1322), suggest that considerable rotational mobility of small molecules can be sustained in an intramolecularly highly ordered interdigitated lipid matrix, implying that the membrane maintains a fluid environment around membrane perturbants even when the lipid matrix is extensively interdigitated.
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Abbott R, Abbott TD, Abraham S, Acernese F, Ackley K, Adams A, Adams C, Adhikari RX, Adya VB, Affeldt C, Agarwal D, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Akutsu T, Aleman KM, Allen G, Allocca A, Altin PA, Amato A, Anand S, Ananyeva A, Anderson SB, Anderson WG, Ando M, Angelova SV, Ansoldi S, Antelis JM, Antier S, Appert S, Arai K, Arai K, Arai Y, Araki S, Araya A, Araya MC, Areeda JS, Arène M, Aritomi N, Arnaud N, Aronson SM, Asada H, Asali Y, Ashton G, Aso Y, Aston SM, Astone P, Aubin F, Auclair P, Aufmuth P, AultONeal K, Austin C, Babak S, Badaracco F, Bader MKM, Bae S, Bae Y, Baer AM, Bagnasco S, Bai Y, Baiotti L, Baird J, Bajpai R, Ball M, Ballardin G, Ballmer SW, Bals M, Balsamo A, Baltus G, Banagiri S, Bankar D, Bankar RS, Barayoga JC, Barbieri C, Barish BC, Barker D, Barneo P, Barnum S, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Barton MA, Bartos I, Bassiri R, Basti A, Bawaj M, Bayley JC, Baylor AC, Bazzan M, Bécsy B, Bedakihale VM, Bejger M, Belahcene I, et alAbbott R, Abbott TD, Abraham S, Acernese F, Ackley K, Adams A, Adams C, Adhikari RX, Adya VB, Affeldt C, Agarwal D, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Akutsu T, Aleman KM, Allen G, Allocca A, Altin PA, Amato A, Anand S, Ananyeva A, Anderson SB, Anderson WG, Ando M, Angelova SV, Ansoldi S, Antelis JM, Antier S, Appert S, Arai K, Arai K, Arai Y, Araki S, Araya A, Araya MC, Areeda JS, Arène M, Aritomi N, Arnaud N, Aronson SM, Asada H, Asali Y, Ashton G, Aso Y, Aston SM, Astone P, Aubin F, Auclair P, Aufmuth P, AultONeal K, Austin C, Babak S, Badaracco F, Bader MKM, Bae S, Bae Y, Baer AM, Bagnasco S, Bai Y, Baiotti L, Baird J, Bajpai R, Ball M, Ballardin G, Ballmer SW, Bals M, Balsamo A, Baltus G, Banagiri S, Bankar D, Bankar RS, Barayoga JC, Barbieri C, Barish BC, Barker D, Barneo P, Barnum S, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Barton MA, Bartos I, Bassiri R, Basti A, Bawaj M, Bayley JC, Baylor AC, Bazzan M, Bécsy B, Bedakihale VM, Bejger M, Belahcene I, Benedetto V, Beniwal D, Benjamin MG, Bennett TF, Bentley JD, BenYaala M, Bergamin F, Berger BK, Bernuzzi S, Bersanetti D, Bertolini A, Betzwieser J, Bhandare R, Bhandari AV, Bhattacharjee D, Bhaumik S, Bidler J, Bilenko IA, Billingsley G, Birney R, Birnholtz O, Biscans S, Bischi M, Biscoveanu S, Bisht A, Biswas B, Bitossi M, Bizouard MA, Blackburn JK, Blackman J, Blair CD, Blair DG, Blair RM, Bobba F, Bode N, Boer M, Bogaert G, Boldrini M, Bondu F, Bonilla E, Bonnand R, Booker P, Boom BA, Bork R, Boschi V, Bose N, Bose S, Bossilkov V, Boudart V, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Bramley A, Branch A, Branchesi M, Breschi M, Briant T, Briggs JH, Brillet A, Brinkmann M, Brockill P, Brooks AF, Brooks J, Brown DD, Brunett S, Bruno G, Bruntz R, Bryant J, Buikema A, Bulik T, Bulten HJ, Buonanno A, Buscicchio R, Buskulic D, Cadonati L, Caesar M, Cagnoli G, Cahillane C, Cain HW, Calderón Bustillo J, Callaghan JD, Callister TA, Calloni E, Camp JB, Canepa M, Cannavacciuolo M, Cannon KC, Cao H, Cao J, Cao Z, Capocasa E, Capote E, Carapella G, Carbognani F, Carlin JB, Carney MF, Carpinelli M, Carullo G, Carver TL, Casanueva Diaz J, Casentini C, Castaldi G, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Cella G, Cerdá-Durán P, Cesarini E, Chaibi W, Chakravarti K, Champion B, Chan CH, Chan C, Chan CL, Chan M, Chandra K, Chanial P, Chao S, Charlton P, Chase EA, Chassande-Mottin E, Chatterjee D, Chaturvedi M, Chatziioannou K, Chen A, Chen C, Chen HY, Chen J, Chen K, Chen X, Chen YB, Chen YR, Chen Z, Cheng H, Cheong CK, Cheung HY, Chia HY, Chiadini F, Chiang CY, Chierici R, Chincarini A, Chiofalo ML, Chiummo A, Cho G, Cho HS, Choate S, Choudhary RK, Choudhary S, Christensen N, Chu H, Chu Q, Chu YK, Chua S, Chung KW, Ciani G, Ciecielag P, Cieślar M, Cifaldi M, Ciobanu AA, Ciolfi R, Cipriano F, Cirone A, Clara F, Clark EN, Clark JA, Clarke L, Clearwater P, Clesse S, Cleva F, Coccia E, 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Yang Y, Yang Z, Yap MJ, Yeeles DW, Yelikar AB, Ying M, Yokogawa K, Yokoyama J, Yokozawa T, Yoon A, Yoshioka T, Yu H, Yu H, Yuzurihara H, Zadrożny A, Zanolin M, Zeidler S, Zelenova T, Zendri JP, Zevin M, Zhan M, Zhang H, Zhang J, Zhang L, Zhang R, Zhang T, Zhao C, Zhao G, Zhao Y, Zhao Y, Zhou Z, Zhu XJ, Zhu ZH, Zucker ME, Zweizig J. Constraints on Cosmic Strings Using Data from the Third Advanced LIGO-Virgo Observing Run. PHYSICAL REVIEW LETTERS 2021; 126:241102. [PMID: 34213926 DOI: 10.1103/physrevlett.126.241102] [Show More Authors] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 03/31/2021] [Accepted: 05/23/2021] [Indexed: 06/13/2023]
Abstract
We search for gravitational-wave signals produced by cosmic strings in the Advanced LIGO and Virgo full O3 dataset. Search results are presented for gravitational waves produced by cosmic string loop features such as cusps, kinks, and, for the first time, kink-kink collisions. A template-based search for short-duration transient signals does not yield a detection. We also use the stochastic gravitational-wave background energy density upper limits derived from the O3 data to constrain the cosmic string tension Gμ as a function of the number of kinks, or the number of cusps, for two cosmic string loop distribution models. Additionally, we develop and test a third model that interpolates between these two models. Our results improve upon the previous LIGO-Virgo constraints on Gμ by 1 to 2 orders of magnitude depending on the model that is tested. In particular, for the one-loop distribution model, we set the most competitive constraints to date: Gμ≲4×10^{-15}. In the case of cosmic strings formed at the end of inflation in the context of grand unified theories, these results challenge simple inflationary models.
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Yang Y, Yang Z, Yap MJ, Yeeles DW, Yelikar AB, Ying M, Yokogawa K, Yokoyama J, Yokozawa T, Yoon A, Yoshioka T, Yu H, Yu H, Yuzurihara H, Zadrożny A, Zanolin M, Zeidler S, Zelenova T, Zendri JP, Zevin M, Zhan M, Zhang H, Zhang J, Zhang L, Zhang R, Zhang T, Zhao C, Zhao G, Zhao Y, Zhao Y, Zhou Z, Zhu XJ, Zhu ZH, Zucker ME, Zweizig J. Constraints on Cosmic Strings Using Data from the Third Advanced LIGO-Virgo Observing Run. PHYSICAL REVIEW LETTERS 2021; 126:241102. [PMID: 34213926 DOI: 10.1103/physrevd.97.102002] [Show More Authors] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 03/31/2021] [Accepted: 05/23/2021] [Indexed: 05/21/2023]
Abstract
We search for gravitational-wave signals produced by cosmic strings in the Advanced LIGO and Virgo full O3 dataset. Search results are presented for gravitational waves produced by cosmic string loop features such as cusps, kinks, and, for the first time, kink-kink collisions. A template-based search for short-duration transient signals does not yield a detection. We also use the stochastic gravitational-wave background energy density upper limits derived from the O3 data to constrain the cosmic string tension Gμ as a function of the number of kinks, or the number of cusps, for two cosmic string loop distribution models. Additionally, we develop and test a third model that interpolates between these two models. Our results improve upon the previous LIGO-Virgo constraints on Gμ by 1 to 2 orders of magnitude depending on the model that is tested. In particular, for the one-loop distribution model, we set the most competitive constraints to date: Gμ≲4×10^{-15}. In the case of cosmic strings formed at the end of inflation in the context of grand unified theories, these results challenge simple inflationary models.
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Kao Y, Lee D. Bulk versus edge in the quantum Hall effect. PHYSICAL REVIEW. B, CONDENSED MATTER 1996; 54:16903-16906. [PMID: 9985818 DOI: 10.1103/physrevb.54.16903] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/12/2023]
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Kao Y, Yang M. Note on regularization dependence of loop corrections to the non-Abelian Chern-Simons term. Int J Clin Exp Med 1990; 41:3267-3268. [PMID: 10012260 DOI: 10.1103/physrevd.41.3267] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Kao Y, Manzon RG, Sheridan MA, Youson JH. Study of the relationship between thyroid hormones and lipid metabolism during KClO4-induced metamorphosis of landlocked lamprey, Petromyzon marinus. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY. PART C, PHARMACOLOGY, TOXICOLOGY & ENDOCRINOLOGY 1999; 122:363-73. [PMID: 10336097 DOI: 10.1016/s0742-8413(99)00004-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
This study examines the role of thyroid hormones (TH) (thyroxine and triiodothyronine) in regulating lipid metabolism of landlocked larval sea lampreys, Petromyzon marinus. Larvae were treated with either thyroxine (0.5 or 1 mg l(-1) water) or triiodothyronine (0.25 or 1 mg l(-1) water) in the presence or absence of the goitrogen, potassium perchlorate (KClO4) (0.05% w/v), for 4, 8, and 16 weeks. Treatment with KClO4 alone, which induced metamorphosis after 8 weeks and lowered plasma TH levels, reduced hepatic and renal total lipid content after 8 weeks of treatment. KClO4-induced lipid depletion after the 8-week treatment was supported by an increased rate of hepatic lipolysis, as indicated by increased triacylglycerol lipase activity. Furthermore, reduced lipogenesis in the liver was indicated by decreased hepatic acetyl-CoA carboxylase and diacylglycerol acyltransferase (DGAT) activities, and by decreased renal DGAT activity following 8 weeks of KClO4 treatment. Treatment of larvae for 4 weeks with TH alone resulted in either no change or a slight increase of lipid in the liver and kidney. TH treatments in combination with KClO4 failed to induce metamorphosis and, after up to 8 weeks, several TH treatments blocked changes in lipid content and enzyme activity associated with KClO4-induced metamorphosis. These experimental results suggest that TH deficiency during metamorphosis may promote lipid catabolism, while the presence of TH tends to protect/promote lipid reserves, perhaps favoring the larval condition. The actions of TH and KClO4 on metamorphosis-associated lipid metabolism in sea lampreys may be direct, permissive, and/or indirect via other factors.
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Kao YL, Ffrench RA, Williams G. Polymorphism report: identification of two common single nucleotide polymorphisms in the human toll-like receptor 5 (TLR5) gene. Mol Cell Probes 2004; 18:205. [PMID: 15135456 DOI: 10.1016/j.mcp.2004.01.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2003] [Accepted: 01/29/2004] [Indexed: 11/30/2022]
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Sleight JW, Aggarwal RJ, Duncan W, Kao Y, Tsai HL, Frensley WR, Fernando CL, Reed MA. Spectroscopic study of intraminiband and interminiband tunneling in finite superlattices. PHYSICAL REVIEW. B, CONDENSED MATTER 1995; 51:10701-10708. [PMID: 9977765 DOI: 10.1103/physrevb.51.10701] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/12/2023]
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Zakrevsky P, Calkins E, Kao YL, Singh G, Keleshian VL, Baudrey S, Jaeger L. In vitro selected GUAA tetraloop-binding receptors with structural plasticity and evolvability towards natural RNA structural modules. Nucleic Acids Res 2021; 49:2289-2305. [PMID: 33524109 PMCID: PMC7913685 DOI: 10.1093/nar/gkab021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 01/05/2021] [Accepted: 01/26/2021] [Indexed: 11/24/2022] Open
Abstract
GNRA tetraloop-binding receptor interactions are key components in the macromolecular assembly of a variety of functional RNAs. In nature, there is an apparent bias for GAAA/11nt receptor and GYRA/helix interactions, with the former interaction being thermodynamically more stable than the latter. While past in vitro selections allowed isolation of novel GGAA and GUGA receptors, we report herein an in vitro selection that revealed several novel classes of specific GUAA receptors with binding affinities comparable to those from natural GAAA/11nt interactions. These GUAA receptors have structural homology with double-locked bulge RNA modules naturally occurring in ribosomal RNAs. They display mutational robustness that enables exploration of the sequence/phenotypic space associated to GNRA/receptor interactions through epistasis. Their thermodynamic self-assembly fitness landscape is characterized by a rugged neutral network with possible evolutionary trajectories toward natural GNRA/receptor interactions. High throughput sequencing analysis revealed synergetic mutations located away from the tertiary interactions that positively contribute to assembly fitness. Our study suggests that the repertoire of GNRA/receptor interactions is much larger than initially thought from the analysis of natural stable RNA molecules and also provides clues for their evolution towards natural GNRA/receptors.
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Abbott R, Abbott TD, Acernese F, Ackley K, Adams C, Adhikari N, Adhikari RX, Adya VB, Affeldt C, Agarwal D, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Albanesi S, Allocca A, Altin PA, Amato A, Anand C, Anand S, Ananyeva A, Anderson SB, Anderson WG, Andrade T, Andres N, Andrić T, Angelova SV, Ansoldi S, Antelis JM, Antier S, Appert S, Arai K, Araya MC, Areeda JS, Arène M, Arnaud N, Aronson SM, Arun KG, Asali Y, Ashton G, Assiduo M, Aston SM, Astone P, Aubin F, Austin C, Babak S, Badaracco F, Bader MKM, Badger C, Bae S, Baer AM, Bagnasco S, Bai Y, Baird J, Ball M, Ballardin G, Ballmer SW, Balsamo A, Baltus G, Banagiri S, Bankar D, Barayoga JC, Barbieri C, Barish BC, Barker D, Barneo P, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Barton MA, Bartos I, Bassiri R, Basti A, Bawaj M, Bayley JC, Baylor AC, Bazzan M, Bécsy B, Bedakihale VM, Bejger M, Belahcene I, Benedetto V, Beniwal D, Bennett TF, Bentley JD, BenYaala M, Bergamin F, Berger BK, Bernuzzi S, Berry CPL, Bersanetti D, Bertolini A, Betzwieser J, Beveridge D, et alAbbott R, Abbott TD, Acernese F, Ackley K, Adams C, Adhikari N, Adhikari RX, Adya VB, Affeldt C, Agarwal D, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Albanesi S, Allocca A, Altin PA, Amato A, Anand C, Anand S, Ananyeva A, Anderson SB, Anderson WG, Andrade T, Andres N, Andrić T, Angelova SV, Ansoldi S, Antelis JM, Antier S, Appert S, Arai K, Araya MC, Areeda JS, Arène M, Arnaud N, Aronson SM, Arun KG, Asali Y, Ashton G, Assiduo M, Aston SM, Astone P, Aubin F, Austin C, Babak S, Badaracco F, Bader MKM, Badger C, Bae S, Baer AM, Bagnasco S, Bai Y, Baird J, Ball M, Ballardin G, Ballmer SW, Balsamo A, Baltus G, Banagiri S, Bankar D, Barayoga JC, Barbieri C, Barish BC, Barker D, Barneo P, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Barton MA, Bartos I, Bassiri R, Basti A, Bawaj M, Bayley JC, Baylor AC, Bazzan M, Bécsy B, Bedakihale VM, Bejger M, Belahcene I, Benedetto V, Beniwal D, Bennett TF, Bentley JD, BenYaala M, Bergamin F, Berger BK, Bernuzzi S, Berry CPL, Bersanetti D, Bertolini A, Betzwieser J, Beveridge D, Bhandare R, Bhardwaj U, Bhattacharjee D, Bhaumik S, Bilenko IA, Billingsley G, Bini S, Birney R, Birnholtz O, Biscans S, Bischi M, Biscoveanu S, Bisht A, Biswas B, Bitossi M, Bizouard MA, Blackburn JK, Blair CD, Blair DG, Blair RM, Bobba F, Bode N, Boer M, Bogaert G, Boldrini M, Bonavena LD, Bondu F, Bonilla E, Bonnand R, Booker P, Boom BA, Bork R, Boschi V, Bose N, Bose S, Bossilkov V, Boudart V, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Bramley A, Branch A, Branchesi M, Brau JE, Breschi M, Briant T, Briggs JH, Brillet A, Brinkmann M, Brockill P, Brooks AF, Brooks J, Brown DD, Brunett S, Bruno G, Bruntz R, Bryant J, Bulik T, Bulten HJ, Buonanno A, Buscicchio R, Buskulic D, Buy C, Byer RL, Cadonati L, Cagnoli G, Cahillane C, Bustillo JC, Callaghan JD, Callister TA, Calloni E, Cameron J, Camp JB, Canepa M, Canevarolo S, Cannavacciuolo M, Cannon KC, Cao H, Capote E, Carapella G, Carbognani F, Carlin JB, Carney MF, Carpinelli M, Carrillo G, Carullo G, Carver TL, Diaz JC, Casentini C, Castaldi G, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Ceasar M, Cella G, Cerdá-Durán P, Cesarini E, Chaibi W, Chakravarti K, Subrahmanya SC, Champion E, Chan CH, Chan C, Chan CL, Chan K, Chandra K, Chanial P, Chao S, Charlton P, Chase EA, Chassande-Mottin E, Chatterjee C, Chatterjee D, Chatterjee D, Chaturvedi M, Chaty S, Chatziioannou K, Chen HY, Chen J, Chen X, Chen Y, Chen Z, Cheng H, Cheong CK, Cheung HY, Chia HY, Chiadini F, Chiarini G, Chierici R, Chincarini A, Chiofalo ML, Chiummo A, Cho G, Cho HS, Choudhary RK, Choudhary S, Christensen N, Chu Q, Chua S, Chung KW, Ciani G, Ciecielag P, Cieślar M, Cifaldi M, Ciobanu AA, Ciolfi R, Cipriano F, Cirone A, Clara F, Clark EN, Clark JA, Clarke L, Clearwater P, Clesse S, Cleva F, Coccia E, Codazzo E, Cohadon PF, Cohen DE, Cohen L, Colleoni M, Collette CG, Colombo A, Colpi M, Compton CM, Constancio M, Conti L, Cooper SJ, Corban P, Corbitt TR, Cordero-Carrión I, Corezzi S, Corley KR, Cornish N, Corre D, Corsi A, Cortese S, Costa CA, Cotesta R, Coughlin MW, Coulon JP, Countryman ST, Cousins B, Couvares P, Coward DM, Cowart MJ, Coyne DC, Coyne R, Creighton JDE, Creighton TD, Criswell AW, Croquette M, Crowder SG, Cudell JR, Cullen TJ, Cumming A, Cummings R, Cunningham L, Cuoco E, Curyło M, Dabadie P, Canton TD, Dall'Osso S, Dálya G, Dana A, DaneshgaranBajastani LM, D'Angelo B, Danilishin S, D'Antonio S, Danzmann K, Darsow-Fromm C, Dasgupta A, Datrier LEH, Datta S, Dattilo V, Dave I, Davier M, Davies GS, Davis D, Davis MC, Daw EJ, Dean R, DeBra D, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Del Favero V, De Lillo F, De Lillo N, Del Pozzo W, DeMarchi LM, De Matteis F, D'Emilio V, Demos N, Dent T, Depasse A, De Pietri R, De Rosa R, De Rossi C, DeSalvo R, De Simone R, Dhurandhar S, Díaz MC, Diaz-Ortiz M, Didio NA, Dietrich T, Di Fiore L, Di Fronzo C, Di Giorgio C, Di Giovanni F, Di Giovanni M, Di Girolamo T, Di Lieto A, Ding B, Di Pace S, Di Palma I, Di Renzo F, Divakarla AK, Dmitriev A, Doctor Z, D'Onofrio L, Donovan F, Dooley KL, Doravari S, Dorrington I, Drago M, Driggers JC, Drori Y, Ducoin JG, Dupej P, Durante O, D'Urso D, Duverne PA, Dwyer SE, Eassa C, Easter PJ, Ebersold M, Eckhardt T, Eddolls G, Edelman B, Edo TB, Edy O, Effler A, Eichholz J, Eikenberry SS, Eisenmann M, Eisenstein RA, Ejlli A, Engelby E, Errico L, Essick RC, Estellés H, Estevez D, Etienne Z, Etzel T, Evans M, Evans TM, Ewing BE, Fafone V, Fair H, Fairhurst S, Farah AM, Farinon S, Farr B, Farr WM, Farrow NW, Fauchon-Jones EJ, Favaro G, Favata M, Fays M, Fazio M, Feicht J, Fejer MM, Fekecs B, Fenyvesi E, Ferguson DL, Fernandez-Galiana A, Ferrante I, Ferreira TA, Fidecaro F, Figura P, Fiori I, Fishbach M, Fisher RP, Fittipaldi R, Fiumara V, Flaminio R, Floden E, Fong H, Font JA, Fornal B, Forsyth PWF, Franke A, Frasca S, Frasconi F, Frederick C, Freed JP, Frei Z, Freise A, Frey R, Fritschel P, Frolov VV, Fronzé GG, Fulda P, Fyffe M, Gabbard HA, Gadre BU, Gair JR, Gais J, Galaudage S, Gamba R, Ganapathy D, Ganguly A, Gaonkar SG, Garaventa B, García-Núñez C, García-Quirós C, Garufi F, Gateley B, Gaudio S, Gayathri V, Gemme G, Gennai A, George J, Gerberding O, Gergely L, Gewecke P, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Ghosh S, Giacomazzo B, Giacoppo L, Giaime JA, Giardina KD, Gibson DR, Gier C, Giesler M, Giri P, Gissi F, Glanzer J, Gleckl AE, Godwin P, Goetz E, Goetz R, Gohlke N, Goncharov B, González G, Gopakumar A, Gosselin M, Gouaty R, Gould DW, Grace B, Grado A, Granata M, Granata V, Grant A, Gras S, Grassia P, Gray C, Gray R, Greco G, Green AC, Green R, Gretarsson AM, Gretarsson EM, Griffith D, Griffiths W, Griggs HL, Grignani G, Grimaldi A, Grimm SJ, Grote H, Grunewald S, Gruning P, Guerra D, Guidi GM, Guimaraes AR, Guixé G, Gulati HK, Guo HK, Guo Y, Gupta A, Gupta A, Gupta P, Gustafson EK, Gustafson R, Guzman F, Haegel L, Halim O, Hall ED, Hamilton EZ, Hammond G, Haney M, Hanks J, Hanna C, Hannam MD, Hannuksela O, Hansen H, Hansen TJ, Hanson J, Harder T, Hardwick T, Haris K, Harms J, Harry GM, Harry IW, Hartwig D, Haskell B, Hasskew RK, Haster CJ, Haughian K, Hayes FJ, Healy J, Heidmann A, Heidt A, Heintze MC, Heinze J, Heinzel J, Heitmann H, Hellman F, Hello P, Helmling-Cornell AF, Hemming G, Hendry M, Heng IS, Hennes E, Hennig J, Hennig MH, Hernandez AG, Vivanco FH, Heurs M, Hild S, Hill P, Hines AS, Hochheim S, Hofman D, Hohmann JN, Holcomb DG, Holland NA, Hollows IJ, Holmes ZJ, Holt K, Holz DE, Hopkins P, Hough J, Hourihane S, Howell EJ, Hoy CG, Hoyland D, Hreibi A, Hsu Y, Huang Y, Hübner MT, Huddart AD, Hughey B, Hui V, Husa S, Huttner SH, Huxford R, Huynh-Dinh T, Idzkowski B, Iess A, Ingram C, Isi M, Isleif K, Iyer BR, JaberianHamedan V, Jacqmin T, Jadhav SJ, Jadhav SP, James AL, Jan AZ, Jani K, Janquart J, Janssens K, Janthalur NN, Jaranowski P, Jariwala D, Jaume R, Jenkins AC, Jenner K, Jeunon M, Jia W, Johns GR, Jones AW, Jones DI, Jones JD, Jones P, Jones R, Jonker RJG, Ju L, Junker J, Juste V, Kalaghatgi CV, Kalogera V, Kamai B, Kandhasamy S, Kang G, Kanner JB, Kao Y, Kapadia SJ, Kapasi DP, Karat S, Karathanasis C, Karki S, Kashyap R, Kasprzack M, Kastaun W, Katsanevas S, Katsavounidis E, Katzman W, Kaur T, Kawabe K, Kéfélian F, Keitel D, Key JS, Khadka S, Khalili FY, Khan S, Khazanov EA, Khetan N, Khursheed M, Kijbunchoo N, Kim C, Kim JC, Kim K, Kim WS, Kim YM, Kimball C, Kinley-Hanlon M, Kirchhoff R, Kissel JS, Kleybolte L, Klimenko S, Knee AM, Knowles TD, Knyazev E, Koch P, Koekoek G, Koley S, Kolitsidou P, Kolstein M, Komori K, Kondrashov V, Kontos A, Koper N, Korobko M, Kovalam M, Kozak DB, Kringel V, Krishnendu NV, Królak A, Kuehn G, Kuei F, Kuijer P, Kumar A, Kumar P, Kumar R, Kumar R, Kuns K, Kuwahara S, Lagabbe P, Laghi D, Lalande E, Lam TL, Lamberts A, Landry M, Lane BB, Lang RN, Lange J, Lantz B, La Rosa I, Lartaux-Vollard A, Lasky PD, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lecoeuche YK, Lee HM, Lee HW, Lee J, Lee K, Lehmann J, Lemaître A, Leroy N, Letendre N, Levesque C, Levin Y, Leviton JN, Leyde K, Li AKY, Li B, Li J, Li TGF, Li X, Linde F, Linker SD, Linley JN, Littenberg TB, Liu J, Liu K, Liu X, Llamas F, Llorens-Monteagudo M, Lo RKL, Lockwood A, London LT, Longo A, Lopez D, Portilla ML, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lott TP, Lough JD, Lousto CO, Lovelace G, Lucaccioni JF, Lück H, Lumaca D, Lundgren AP, Lynam JE, Macas R, MacInnis M, Macleod DM, MacMillan IAO, Macquet A, Hernandez IM, Magazzù C, Magee RM, Maggiore R, Magnozzi M, Mahesh S, Majorana E, Makarem C, Maksimovic I, Maliakal S, Malik A, Man N, Mandic V, Mangano V, Mango JL, Mansell GL, Manske M, Mantovani M, Mapelli M, Marchesoni F, Marion F, Mark Z, Márka S, Márka Z, Markakis C, Markosyan AS, Markowitz A, Maros E, Marquina A, Marsat S, Martelli F, Martin IW, Martin RM, Martinez M, Martinez VA, Martinez V, Martinovic K, Martynov DV, Marx EJ, Masalehdan H, Mason K, Massera E, Masserot A, Massinger TJ, Masso-Reid M, Mastrogiovanni S, Matas A, Mateu-Lucena M, Matichard F, Matiushechkina M, Mavalvala N, McCann JJ, McCarthy R, McClelland DE, McClincy PK, McCormick S, McCuller L, McGhee GI, McGuire SC, McIsaac C, McIver J, McRae T, McWilliams ST, Meacher D, Mehmet M, Mehta AK, Meijer Q, Melatos A, Melchor DA, Mendell G, Menendez-Vazquez A, Menoni CS, Mercer RA, Mereni L, Merfeld K, Merilh EL, Merritt JD, Merzougui M, Meshkov S, Messenger C, Messick C, Meyers PM, Meylahn F, Mhaske A, Miani A, Miao H, Michaloliakos I, Michel C, Middleton H, Milano L, Miller A, Miller AL, Miller B, Millhouse M, Mills JC, Milotti E, Minazzoli O, Minenkov Y, Mir LM, Miravet-Tenés M, Mishra C, Mishra T, Mistry T, Mitra S, Mitrofanov VP, Mitselmakher G, Mittleman R, Mo G, Moguel E, Mogushi K, Mohapatra SRP, Mohite SR, Molina I, Molina-Ruiz M, Mondin M, Montani M, Moore CJ, Moraru D, Morawski F, More A, Moreno C, Moreno G, Morisaki S, Mours B, Mow-Lowry CM, Mozzon S, Muciaccia F, Mukherjee A, Mukherjee D, Mukherjee S, Mukherjee S, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz EA, Murray PG, Musenich R, Muusse S, Nadji SL, Nagar A, Napolano V, Nardecchia I, Naticchioni L, Nayak B, Nayak RK, Neil BF, Neilson J, Nelemans G, Nelson TJN, Nery M, Neubauer P, Neunzert A, Ng KY, Ng SWS, Nguyen C, Nguyen P, Nguyen T, Nichols SA, Nissanke S, Nitoglia E, Nocera F, Norman M, North C, Nuttall LK, Oberling J, O'Brien BD, O'Dell J, Oelker E, Oganesyan G, Oh JJ, Oh SH, Ohme F, Ohta H, Okada MA, Olivetto C, Oram R, O'Reilly B, Ormiston RG, Ormsby ND, Ortega LF, O'Shaughnessy R, O'Shea E, Ossokine S, Osthelder C, Ottaway DJ, Overmier H, Pace AE, Pagano G, Page MA, Pagliaroli G, Pai A, Pai SA, Palamos JR, Palashov O, Palomba C, Pan H, Panda PK, Pang PTH, Pankow C, Pannarale F, Pant BC, Panther FH, Paoletti F, Paoli A, Paolone A, Park H, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patel M, Pathak M, Patricelli B, Patron AS, Paul S, Payne E, Pedraza M, Pegoraro M, Pele A, Penn S, Perego A, Pereira A, Pereira T, Perez CJ, Périgois C, Perkins CC, Perreca A, Perriès S, Petermann J, Petterson D, Pfeiffer HP, Pham KA, Phukon KS, Piccinni OJ, Pichot M, Piendibene M, Piergiovanni F, Pierini L, Pierro V, Pillant G, Pillas M, Pilo F, Pinard L, Pinto IM, Pinto M, Piotrzkowski K, Pirello M, Pitkin MD, Placidi E, Planas L, Plastino W, Pluchar C, Poggiani R, Polini E, Pong DYT, Ponrathnam S, Popolizio P, Porter EK, Poulton R, Powell J, Pracchia M, Pradier T, Prajapati AK, Prasai K, Prasanna R, Pratten G, Principe M, Prodi GA, Prokhorov L, Prosposito P, Prudenzi L, Puecher A, Punturo M, Puosi F, Puppo P, Pürrer M, Qi H, Quetschke V, Quitzow-James R, Raab FJ, Raaijmakers G, Radkins H, Radulesco N, Raffai P, Rail SX, Raja S, Rajan C, Ramirez KE, Ramirez TD, Ramos-Buades A, Rana J, Rapagnani P, Rapol UD, Ray A, Raymond V, Raza N, Razzano M, Read J, Rees LA, Regimbau T, Rei L, Reid S, Reid SW, Reitze DH, Relton P, Renzini A, Rettegno P, Rezac M, Ricci F, Richards D, Richardson JW, Richardson L, Riemenschneider G, Riles K, Rinaldi S, Rink K, Rizzo M, Robertson NA, Robie R, Robinet F, Rocchi A, Rodriguez S, Rolland L, Rollins JG, Romanelli M, Romano R, Romel CL, Romero-Rodríguez A, Romero-Shaw IM, Romie JH, Ronchini S, Rosa L, Rose CA, Rosińska D, Ross MP, Rowan S, Rowlinson SJ, Roy S, Roy S, Roy S, Rozza D, Ruggi P, Ryan K, Sachdev S, Sadecki T, Sadiq J, Sakellariadou M, Salafia OS, Salconi L, Saleem M, Salemi F, Samajdar A, Sanchez EJ, Sanchez JH, Sanchez LE, Sanchis-Gual N, Sanders JR, Sanuy A, Saravanan TR, Sarin N, Sassolas B, Satari H, Sathyaprakash BS, Sauter O, Savage RL, Sawant D, Sawant HL, Sayah S, Schaetzl D, Scheel M, Scheuer J, Schiworski M, Schmidt P, Schmidt S, Schnabel R, Schneewind M, Schofield RMS, Schönbeck A, Schulte BW, Schutz BF, Schwartz E, Scott J, Scott SM, Seglar-Arroyo M, Sellers D, Sengupta AS, Sentenac D, Seo EG, Sequino V, Sergeev A, Setyawati Y, Shaffer T, Shahriar MS, Shams 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Search for Subsolar-Mass Binaries in the First Half of Advanced LIGO's and Advanced Virgo's Third Observing Run. PHYSICAL REVIEW LETTERS 2022; 129:061104. [PMID: 36018635 DOI: 10.1103/physrevlett.129.061104] [Show More Authors] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 03/18/2022] [Accepted: 06/07/2022] [Indexed: 06/15/2023]
Abstract
We report on a search for compact binary coalescences where at least one binary component has a mass between 0.2 M_{⊙} and 1.0 M_{⊙} in Advanced LIGO and Advanced Virgo data collected between 1 April 2019 1500 UTC and 1 October 2019 1500 UTC. We extend our previous analyses in two main ways: we include data from the Virgo detector and we allow for more unequal mass systems, with mass ratio q≥0.1. We do not report any gravitational-wave candidates. The most significant trigger has a false alarm rate of 0.14 yr^{-1}. This implies an upper limit on the merger rate of subsolar binaries in the range [220-24200] Gpc^{-3} yr^{-1}, depending on the chirp mass of the binary. We use this upper limit to derive astrophysical constraints on two phenomenological models that could produce subsolar-mass compact objects. One is an isotropic distribution of equal-mass primordial black holes. Using this model, we find that the fraction of dark matter in primordial black holes in the mass range 0.2 M_{⊙}<m_{PBH}<1.0 M_{⊙} is f_{PBH}≡Ω_{PBH}/Ω_{DM}≲6%. This improves existing constraints on primordial black hole abundance by a factor of ∼3. The other is a dissipative dark matter model, in which fermionic dark matter can collapse and form black holes. The upper limit on the fraction of dark matter black holes depends on the minimum mass of the black holes that can be formed: the most constraining result is obtained at M_{min}=1 M_{⊙}, where f_{DBH}≡Ω_{DBH}/Ω_{DM}≲0.003%. These are the first constraints placed on dissipative dark models by subsolar-mass analyses.
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