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1 ould potentiate checkpoint immunotherapy for glioblastoma.
2 s to target resistant populations of GSCs in glioblastoma.
3  in part due to the genetic heterogeneity of glioblastoma.
4 uccessful development of immunotherapies for glioblastoma.
5 en MGMT methylation and expression levels in glioblastoma.
6 al connectivity patterns in 15 patients with glioblastoma.
7 s' tumor shares similarities with neuro- and glioblastoma.
8 urvival response to anti-VEGF monotherapy in glioblastoma.
9 point blockade therapy to eradicate existing glioblastoma.
10  tumor cell lines including neuroblastoma or glioblastoma.
11 at determines the immune refractory state in glioblastoma.
12 edict the clinical outcomes of patients with glioblastoma.
13 n attractive imaging target for detection of glioblastoma.
14  is elevated in tumors, including in primary glioblastoma.
15 h and extended survival in a rodent model of glioblastoma.
16 nsive view of early response to radiation in glioblastoma.
17 hat were formulated with doxorubicin against glioblastoma.
18 increased survival with anti-VEGF therapy in glioblastoma.
19 ecarenone in the highly treatment-refractory glioblastoma.
20 nes, and in vivo, using orthotopic models of glioblastoma.
21 hat may serve as a new therapeutic target in glioblastoma.
22 [1-(13)C]glycine for non-invasive imaging of glioblastoma.
23 ng the tumor are affected by the presence of glioblastoma.
24 al stem cells (NSCs) are a cell of origin of glioblastoma.
25 er models, including aggressive intracranial glioblastoma.
26 with VEGF-C to promote an immune response to glioblastoma.
27 T expression in the brain and thus to detect glioblastoma.
28 iomarkers as well as therapeutic targets for glioblastomas.
29  that include lower-grade gliomas (LGGs) and glioblastomas.
30 role in the proliferation and progression of glioblastoma(3,4).
31 ents with World Health Organization grade IV glioblastomas 40 mm or less from the IHM region, loss of
32 s in many diverse cancer types, particularly glioblastoma(5-8).
33 tomolecularly characterized glioma patients (glioblastoma, 90%; age range, 20-79 y) were subsequently
34 d proliferation can categorize patients with glioblastoma according to progression-free survival.
35 vidual, yet related, variants and reveal how glioblastoma alters the neuronal microenvironment.
36 ells into the tumour, rapid clearance of the glioblastoma and a long-lasting antitumour memory respon
37 ic biomarkers that are frequently present in glioblastoma and can alter clinical management.
38 responding transcriptional profiles in human glioblastoma and describe patient-derived xenografts wit
39             Nude rats bearing orthotopic U87 glioblastoma and healthy controls were investigated.
40 f unknown aetiology is a hallmark feature of glioblastoma and is characterized by decreased CD4 T-cel
41 l alkylating agent used for the treatment of glioblastoma and is now becoming a chemotherapeutic opti
42 ific copy number gains, such as trisomy 7 in glioblastoma and isochromosome 17q in medulloblastoma.
43 hether there is reciprocal crosstalk between glioblastoma and neurons remains poorly defined, as the
44 sels from tissue biopsies from patients with glioblastoma and ovarian cancer.
45 y enhance the antitumor activity of HDACi in glioblastoma and pancreatic cancer preclinical models.
46 show that GBOs maintain many key features of glioblastomas and can be rapidly deployed to investigate
47 ns of anticancer cardiac glycosides in human glioblastomas and glioma cancer stem-like cells via inhi
48 f IRS2 and other loci are evident in primary glioblastomas and may underlie the inefficacy of targete
49 on the cerebellar cortex from primary (e.g., glioblastoma) and metastatic (e.g., breast cancer) tumor
50 s in rat 9L gliosarcoma, human U87 DeltaEGFR glioblastoma, and human DU145 androgen-independent prost
51  protein expression was upregulated in human glioblastomas, and its expression directly correlated wi
52 unity that is mediated by CD8 T cells to the glioblastoma antigen is very limited when the tumour is
53                                              Glioblastomas are aggressive primary brain tumors known
54                                              Glioblastomas are highly aggressive primary brain tumour
55                                              Glioblastomas are highly malignant brain tumors.
56            Patients undergoing resection for glioblastoma as well as patients included in The Cancer
57                                              Glioblastoma-associated immune infiltrates are dominated
58 ed in The Cancer Genome Atlas (TCGA) and IVY Glioblastoma Atlas Project (IVY GAP) databases had pre-o
59                                      The IVY Glioblastoma Atlas Project Database was used to evaluate
60 The validation set was obtained from the Ivy Glioblastoma Atlas Project database, for which the perce
61                                              Glioblastoma brain tumor stem cells with low astrocytic
62  tumor cell types, including lymphoma, lung, glioblastoma, breast cancer, and several forms of leukem
63 gies are provided and have been validated in glioblastoma, breast cancer, melanoma and leukemia mouse
64 ly, Norrin mediates enhanced tumor growth of glioblastomas by activating the Notch pathway.
65                              The analyses of glioblastoma cancer data and the breast cancer data from
66 re is an interphase pool of KIF11 present in glioblastoma cancer stem cells that drives tumor cell in
67 human glioma cells and patient-derived human glioblastoma cancer stem cells) to demonstrate how vital
68 enhance Temozolomide (TMZ) cytotoxicity on a glioblastoma cell line (U87MG).
69 and found to inhibit tumor growth in a mouse glioblastoma cell line and in a whole-animal study.
70                           Strikingly, in the glioblastoma cell line data, PolyA-miner identified more
71 Human Reference (UHR) PolyA-seq data, recent glioblastoma cell line NUDT21 knockdown Poly(A)-ClickSeq
72 cs of human SH-SY5Y neuroblastoma and U-87MG glioblastoma cell lines cultured on polyacrylonitrile (P
73  an integrated analysis in the U251 and U343 glioblastoma cell lines to map early alterations in the
74  shown that the venom significantly affected glioblastoma cell lines.
75 m-like phenotypes, have replaced established glioblastoma cell lines.
76 time the effect of dilution on the EM of U87 glioblastoma cell-derived and plasma-derived sEVs and me
77                    Here, we demonstrate that glioblastoma cells adhere to and invade HA-rich matrix u
78                             AHR knockdown in glioblastoma cells also reduced the expression of LDHA (
79 esicle-mediated bilateral crosstalk, between glioblastoma cells and astrocytes, highlighting the prot
80 promotes tumorigenesis and survival of human glioblastoma cells by epigenetically activating the tran
81 as a result of necrosis, a new cell death in glioblastoma cells characterized by the leak of bulk wat
82 luorescent protein (iRFP) in patient-derived glioblastoma cells enables rapid, direct non-invasive mo
83             Silencing AVIL nearly eradicated glioblastoma cells in culture, and dramatically inhibite
84 iRFP transduction of primary patient-derived glioblastoma cells is a reliable, cost- and time-effecti
85                         Live-cell imaging of glioblastoma cells overexpressing a ZYX-GFP construct de
86 ith a composite score the ability of primary glioblastoma cells to proliferate (via the protein bioma
87 vestigated in future studies for sensitizing glioblastoma cells to TMZ and other drugs available in t
88 he emergence of drug resistance in stem-like glioblastoma cells treated with RTK inhibitors.
89  inhibition of NCAM1 in Vero cells and human glioblastoma cells U-251 MG.
90 essed the migratory and invasive capacity of glioblastoma cells, partially restored following TLN1 or
91 alysis localized PHIP to the leading edge of glioblastoma cells, together with several focal adhesion
92              However, in cultured NIH3T3 and glioblastoma cells, we found that class I PI3K mediated
93 ony formation and tumorigenesis abilities of glioblastoma cells.
94 ed the effect of a physical CAP treatment on glioblastoma cells.
95 induced gene expression and tumorigenesis of glioblastoma cells.
96 hyper-phosphorylated tau (p-tau) in Vero and glioblastoma cells.
97 ue triggers the unfolded protein response in glioblastoma cells.
98 ons and provide a methodology for functional glioblastoma classification for future clinical investig
99 Translation of survival benefits observed in glioblastoma clinical trials to populations and to longe
100 rts of human high-grade astrocytomas, mostly glioblastomas, compared to healthy brain control samples
101  invasive tumor rim (intact BBB) compared to glioblastoma core (disrupted BBB).
102                     Based on untreated human glioblastoma data collected in Trondheim, Norway, we fir
103              Newly collected untreated human glioblastoma data in Seattle, US, re-verify our model.
104 lastic and non-neoplastic cells from a human glioblastoma dataset, the ranking of biologically releva
105  confirmed on The Cancer Genome Atlas (TCGA) glioblastoma dataset.
106                    In an orthotopic model of glioblastoma, dendrimer-triptolide achieved significantl
107 emarkably, SRSF3 is directly associated with glioblastoma development, progression, aggressiveness an
108 rotumor and antitumor roles of astrocytes in glioblastoma development.
109 2 reporting survival at >= 2 years following glioblastoma diagnosis.
110                                              Glioblastomas exhibit vast inter- and intra-tumoral hete
111                 Our results demonstrate that glioblastomas exploit cell surface O-linked glycans for
112  temozolomide, TMZ, the standard of care for glioblastoma) for use as synthetic precursors of alkyl d
113 e, 59 years; IQR, 49-69 years; 382 men) with glioblastoma from six hospitals were used.
114 rgets tumor-associated macrophages (TAMs) in glioblastoma from systemic administration and exhibits t
115 f antineoplastic components with activity in glioblastoma (GB) cell lines.
116                                              Glioblastoma (GB) is a highly aggressive, difficult to t
117 ed tropism of systemic nanoparticles towards glioblastoma (GBM) and prostate carcinoma xenograft lesi
118                 Precision medicine trials in glioblastoma (GBM) are often conducted at tumor recurren
119  glutamine metabolism has on the survival of glioblastoma (GBM) brain tumor stem cells (BTSC) has not
120 CRISPRi) to screen 5689 lncRNA loci in human glioblastoma (GBM) cells, identifying 467 hits that modi
121 acellular matrix (ECM) on drug resistance in glioblastoma (GBM) cells.
122                         Here, we showed that glioblastoma (GBM) cultures and patients' tumors harbore
123 nding protein SERBP1 as a novel regulator of glioblastoma (GBM) development.
124                                              Glioblastoma (GBM) has one of the worst 5-year survival
125                                Treatment for glioblastoma (GBM) includes surgical resection and adjuv
126 ed that physical and osmotic forces regulate glioblastoma (GBM) invasiveness.
127               Here, we show that necrosis in glioblastoma (GBM) involves neutrophil-triggered ferropt
128        Intratumoral genomic heterogeneity in glioblastoma (GBM) is a barrier to overcoming therapy re
129                                              Glioblastoma (GBM) is a brain tumour with high invasiven
130                                              Glioblastoma (GBM) is a complex disease with extensive m
131                                              Glioblastoma (GBM) is a highly aggressive and heterogene
132                                              Glioblastoma (GBM) is a malignant brain tumour with a di
133                                              Glioblastoma (GBM) is an aggressive malignancy with limi
134                                              Glioblastoma (GBM) is an astrocytic brain tumor with med
135           The aggressive primary brain tumor glioblastoma (GBM) is characterized by aberrant metaboli
136                   The aggressive brain tumor glioblastoma (GBM) is characterized by rapid cellular in
137                                              Glioblastoma (GBM) is increasingly recognized as a disea
138                                              Glioblastoma (GBM) is the deadliest adult brain cancer,
139                                              Glioblastoma (GBM) is the most common and lethal primary
140                                              Glioblastoma (GBM) is the most common and most aggressiv
141                                              Glioblastoma (GBM) is the most common and most aggressiv
142                                              Glioblastoma (GBM) is the most prevalent and lethal adul
143  alterations of EGFR are observed in ~50% of glioblastoma (GBM) patients, and have been found to play
144                                              Glioblastoma (GBM) resistance to the standard of care is
145                                              Glioblastoma (GBM) responses to bevacizumab are invariab
146 ealed by The Cancer Genome Atlas project for glioblastoma (GBM) results in formation of high-grade gl
147 plays therapeutic oncolytic activity against glioblastoma (GBM) stem cells (GSCs).
148              Glioma stem-like cells (GSC) in glioblastoma (GBM) structure tumor cells into a hierarch
149 ing of individual primary cells from a human glioblastoma (GBM) surgical sample, revealing relationsh
150                   In managing a patient with glioblastoma (GBM), a surgeon must carefully consider wh
151 usly shown that the aggressive brain cancer, glioblastoma (GBM), maintains stem-like features (glioma
152                                              Glioblastoma (GBM), or grade IV astrocytoma, is a malign
153                                              Glioblastoma (GBM), the most aggressive form of brain ca
154 ucial roles in promoting malignant growth of glioblastoma (GBM), the most lethal brain tumor.
155 dy both of these effects in a mouse model of glioblastoma (GBM), we employed murine GBM cells enginee
156 h significant cytotoxicity in the context of glioblastoma (GBM), we performed a high-throughput scree
157 eneity facilitates therapeutic resistance in glioblastoma (GBM).
158  has been associated with worse prognosis in glioblastoma (GBM).
159 ng contributes to malignant cell behavior in glioblastoma (GBM).
160 pplied this methodology in two rat models of glioblastoma (GBM; U87 human glioma cells and patient-de
161 ated tumor cells freshly isolated from human glioblastomas (GBM) and that have never known any serum
162 nt III (EGFRvIII) is frequently expressed in glioblastomas (GBM) but its impact on therapy response i
163 s efficacy in highly malignant brain-tumors, glioblastomas (GBM), is limited.
164 f soft brain tumors, showing that aggressive glioblastomas (GBMs) have higher water content while beh
165 carcinoma, lung squamous cell carcinoma, and glioblastoma, genes highly associated with cancer progre
166  for predicting the status of several common glioblastoma genetic biomarkers on preoperative MRI.
167 gmentations were used to predict nine common glioblastoma genetic biomarkers with random forest regre
168  murine metastatic breast cancer 4T1, murine glioblastoma GL261, human triple negative breast cancer
169                          We investigated the glioblastoma glycocalyx as a tumor-intrinsic immune supp
170                     TP1 cases include IDHwt, glioblastoma high immune infiltration and cellular proli
171  cell-lineage-based stratification model for glioblastoma, highlighting how the cell of origin genera
172                                          The glioblastoma immune microenvironment is recognized as hi
173 d had no impact on survival in patients with glioblastoma in a well-defined cohort.
174 eutic target as expressed in the majority of glioblastomas in our cohort.
175 t4 and Sox2 drive the stem-like phenotype in glioblastoma, in part, by differentially regulating subs
176  highlight the importance of cell lineage in glioblastoma independent of driver mutations and provide
177 ins LIMK1 and LIMK2 significantly diminishes glioblastoma invasion and spread, suggesting the potenti
178                                              Glioblastoma is a deadly cancer, with no effective thera
179                                              Glioblastoma is a devastating form of brain cancer.
180                                              Glioblastoma is a universally lethal form of brain cance
181                                              Glioblastoma is an aggressive and heterogeneous tumor in
182                                              Glioblastoma is an incurable brain tumor notorious for i
183                                              Glioblastoma is associated with high morbidity and morta
184  treatment with bevacizumab in patients with glioblastoma is controversial because progression-free s
185                     The invasive behavior of glioblastoma is essential to its aggressive potential.
186                                              Glioblastoma is heterogeneous in the molecular subtypes
187            The challenge in the treatment of glioblastoma is the failure to identify the cancer invas
188                                              Glioblastoma is the most aggressive brain malignancy, fo
189                                              Glioblastoma is the most common human brain cancer entit
190                                              Glioblastoma is the most common malignant brain parenchy
191                                              Glioblastoma is the most common primary malignant brain
192                                              Glioblastoma is the most malignant brain cancer but the
193 , prognostic and therapeutic tools to tackle glioblastomas is urgently needed.
194 nostic and promising predictive biomarker in glioblastoma, its value in informing treatment decisions
195              In summary, the impact of focal glioblastoma lesions on the functional connectome is glo
196 mic architecture of IDH-wild-type multifocal glioblastomas (M-GBMs) suggests a clinically unobserved
197             We tested northstar on data from glioblastoma, melanoma, and seven different healthy tiss
198 ion cytokine IL-33 as an orchestrator of the glioblastoma microenvironment that contributes to tumori
199                                              Glioblastoma might have widespread effects on the neural
200 s FUS to increase BBB permeability in murine glioblastoma models and thus enhance the release of tumo
201  layer of the focal adhesion complex, drives glioblastoma motility and invasion.
202           Tumors from genetically engineered glioblastoma mouse models initiated by identical driver
203      Deep learning models were pretrained on glioblastoma MRI, instead of natural images, to determin
204 ng model was based on transfer learning from glioblastoma MRI.
205                                              Glioblastoma multiforme (GBM) and other solid malignanci
206                 To date current therapies of glioblastoma multiforme (GBM) are largely ineffective.
207 lopment of new drugs and active targeting in glioblastoma multiforme (GBM) cancer therapy.
208  the uptake of gold nanoparticle into U373MG Glioblastoma multiforme (GBM) cells predicts that CAP ma
209                 Temozolomide (TMZ)-resistant glioblastoma multiforme (GBM) cells would have abnormal
210 on a murine tumor model comprised of U-87 MG glioblastoma multiforme (GBM) cells, known to form highl
211 ds (TTFields)," had an antimitotic effect on glioblastoma multiforme (GBM) cells.
212                                              Glioblastoma multiforme (GBM) contains a subpopulation o
213                                 Mortality of glioblastoma multiforme (GBM) has not improved over the
214 failure of checkpoint-blockade therapies for glioblastoma multiforme (GBM) in late-phase clinical tri
215                                              Glioblastoma multiforme (GBM) is a malignant brain tumor
216                                              Glioblastoma multiforme (GBM) is an aggressive and diffi
217                                              Glioblastoma multiforme (GBM) is an aggressive cancer wi
218 ferent tumors, its effectiveness in treating glioblastoma multiforme (GBM) is constrained by insuffic
219                                              Glioblastoma multiforme (GBM) is impossible to fully rem
220                                              Glioblastoma multiforme (GBM) is one of the most common
221                                              Glioblastoma multiforme (GBM) is the deadliest form of b
222                                              Glioblastoma multiforme (GBM) is the most common and dea
223                                              Glioblastoma multiforme (GBM) is the most common and dev
224                                              Glioblastoma multiforme (GBM) tumors are highly metaboli
225 opulations in the tumour microenvironment in glioblastoma multiforme (GBM), the most common malignant
226                        These pathologies are glioblastoma multiforme (GBM), traumatic brain injuries
227 py is the major treatment modality for human glioblastoma multiforme (GBM).
228 d macrophages (TAMs) promotes progression of glioblastoma multiforme (GBM).
229 ne responses to immune checkpoint therapy in glioblastoma multiforme and demonstrate that comprehensi
230 unique population of CD73(hi) macrophages in glioblastoma multiforme that persists after anti-PD-1 tr
231  CD73 improved survival in a murine model of glioblastoma multiforme treated with anti-CTLA-4 and ant
232  Using a xenograft nude mouse model of human glioblastoma multiforme, blocking the efflux function of
233 point therapy and those that do not, such as glioblastoma multiforme, prostate cancer and colorectal
234 ant for a successful combination strategy in glioblastoma multiforme, we performed reverse translatio
235  slices acquired from a growth-factor driven glioblastoma murine model.
236       Accurate and automatic segmentation of glioblastoma on clinical scans is feasible using a model
237 ozolomide is the first line of treatment for glioblastoma, one of the most aggressive brain tumors th
238 m Cell (Bhaduri et al., 2020) leverage novel glioblastoma organoid models and single-cell RNA-sequenc
239  describe detailed procedures for generating glioblastoma organoids (GBOs) from surgically resected p
240 or generating and biobanking patient-derived glioblastoma organoids (GBOs) that recapitulate the hist
241 ctose-type lectin (MGL), on CD163(+) TAMs in glioblastoma patient-derived tumor tissues.
242 apitulated the immunosuppression observed in glioblastoma patients in the C57BL/6 mouse and investiga
243 s value in informing treatment decisions for glioblastoma patients remains debatable.
244 sted a doubling of 2- and 3-year survival in glioblastoma patients since 2005.
245 unohistochemistry, and a larger cohort of 73 glioblastoma patients to confirm the findings from the p
246                  57 newly diagnosed cerebral glioblastoma patients were included.
247                        VERDICT parameters in glioblastoma patients were most consistent with the GL26
248                                           In glioblastoma patients, our models outperformed comparabl
249 the only known biomarker for TMZ response in glioblastoma patients.
250 erified in six freshly dissected tumors from glioblastoma patients.
251                                           In glioblastoma, poor efficacy of receptor tyrosine kinase
252 cytometry dataset of 2 million cells from 28 glioblastomas, RAPID identified tumor cells whose abunda
253                                              Glioblastomas remain the deadliest brain tumour, with a
254    Furthermore, other tumor types, including glioblastoma, remain largely refractory.
255 pite a deeper molecular understanding, human glioblastoma remains one of the most treatment refractor
256  a rich resource for basic and translational glioblastoma research.
257                          Re-analysis of TCGA glioblastoma RNA-seq unveils previously unreported kinas
258 e-cell RNA-sequencing technologies to tackle glioblastoma's heterogeneous nature, providing new tools
259  presence of heterogeneous GSCs may underlie glioblastoma's rapid progression and invasion.
260 was verified in single-cell RNA-seq of human glioblastoma samples.
261                                    Given the glioblastoma size in a patient, our model can predict th
262 n brain cancer entity and is maintained by a glioblastoma stem cell (GSC) subpopulation.
263                        The interplay between glioblastoma stem cells (GSCs) and tumor-associated macr
264  aggressive and heterogeneous tumor in which glioblastoma stem cells (GSCs) are at the apex of an ent
265 or that increases susceptibility in NSCs and glioblastoma stem cells.
266 in all the glioblastomas we tested including glioblastoma stem/initiating cells, but hardly detectabl
267 IP copy number was elevated in the classical glioblastoma subtype and correlated with elevated EGFR l
268       The oligodendrocyte lineage-associated glioblastoma subtype requires functional ERBB3 and harbo
269 eutics in cancer cells, high MGMT expressing glioblastoma (T98G) and a high ABCB1 expressing triple-n
270                                              Glioblastoma the most aggressive form of brain cancer, c
271                                              Glioblastoma, the most lethal primary brain cancer, is e
272                                              Glioblastoma, the predominant adult malignant brain tumo
273 015 in 596 patients with first recurrence of glioblastoma, the subset of patients with availability o
274 ue to heterogenous tumour growth inherent in glioblastoma, the use of primary cells for orthotopic in
275     We and others had shown that a subset of glioblastomas, the most malignant of all primary brain t
276 to the brain limits the development of novel glioblastoma therapies.
277 e research, little progress has been made in glioblastoma therapy, owing in part to a lack of adequat
278 High-dose radiation is the main component of glioblastoma therapy.
279 tor kinase c-MET has emerged as a target for glioblastoma therapy.
280 1) gene and are less aggressive than primary glioblastoma, they nonetheless generally recur.
281 geted delivery platform to achieve effective glioblastoma treatment by improving efficacy while reduc
282                                     An ideal glioblastoma treatment needs to engage targets that driv
283 d provides potential therapeutic targets for glioblastoma treatment.
284 nate drivers of tumor invasion, we created a glioblastoma tumor cell atlas with single-cell transcrip
285  clarifies the opposing effects of Norrin on glioblastoma tumor growth and provides potential therape
286 ediates both mitotic somal translocation and glioblastoma tumor invasion.
287  mechanisms of resistance in a heterogeneous glioblastoma tumor model.
288                                              Glioblastoma tumors exhibit extensive inter- and intratu
289 ppressive or immunostimulatory cell types in glioblastoma tumors, including tumor-associated macropha
290  and the effects of hyperthermia in vitro on glioblastoma U251-MG cells and in vivo on zebrafish embr
291 s undergoing resection of contrast enhancing glioblastoma under general anaesthesia followed by stand
292  advillin (AVIL) is overexpressed in all the glioblastomas we tested including glioblastoma stem/init
293          Here, using a native mouse model of glioblastoma, we develop a high-throughput in vivo scree
294                 Here, using a mouse model of glioblastoma, we show that the meningeal lymphatic vascu
295 6 years [range, 22-77 years]) diagnosed with glioblastoma were included from two prospective studies.
296 LX and ASCL1 should be mutually exclusive in glioblastoma, which was verified in single-cell RNA-seq
297 hinery-associated molecular dysregulation in glioblastomas, which could potentially be considered as
298 ative brain MRI from 199 adult patients with glioblastoma who subsequently underwent tumor resection
299 ategies are necessary to effectively address glioblastoma without systemic toxicities.
300 lipid heterogeneity has been visualised in a glioblastoma xenograft tumour using 3D DESI-MS imaging.

 
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